From 364e525421ccfe831b5615db502cc07178b5d14f Mon Sep 17 00:00:00 2001 From: Thomas Wood Date: Fri, 21 Jun 2024 10:13:18 +0100 Subject: [PATCH] update SEO --- ...ptability-of-intervention-measure-score.md | 27 ++++++++++++++ .../alcohol-urges-questionnaire-auq.md | 29 +++++++++++++++ ...ritis-impact-measurement-scales-2-aims2.md | 27 ++++++++++++++ .../beck-depression-inventory-ii-bdi-ii.md | 27 ++++++++++++++ .../landing_instruments/berg-balance-scale.md | 29 +++++++++++++++ .../bristol-stool-scale.md | 27 ++++++++++++++ .../client-satisfaction-questionnaire-csq.md | 29 +++++++++++++++ ...inical-global-impression-of-change-cgic.md | 25 +++++++++++++ .../clinician-administered-ptsd-scale-caps.md | 33 +++++++++++++++++ ...ia-suicide-severity-rating-scale-c-ssrs.md | 27 ++++++++++++++ ...ve-psychopathological-rating-scale-cprs.md | 23 ++++++++++++ .../contact-lens-user-experience-clue.md | 31 ++++++++++++++++ .../dermatology-life-quality-index-dlqi.md | 31 ++++++++++++++++ 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...-free-ai-tool-for-cross-cohort-research.md | 29 +++++++++++++++ ...harmony-a-free-ai-tool-for-data-pooling.md | 31 ++++++++++++++++ ...monisation-of-instruments-in-psychology.md | 29 +++++++++++++++ ...y-a-free-ai-tool-for-item-harmonisation.md | 29 +++++++++++++++ ...ree-ai-tool-for-item-wise-harmonisation.md | 25 +++++++++++++ ...ol-for-longitudinal-study-in-psychology.md | 29 +++++++++++++++ ...y-a-free-ai-tool-for-longitudinal-study.md | 27 ++++++++++++++ ...-free-ai-tool-to-combine-cohort-studies.md | 30 +++++++++++++++ ...-a-free-ai-tool-to-merge-cohort-studies.md | 27 ++++++++++++++ ...e-ai-tool-to-merge-longitudinal-studies.md | 27 ++++++++++++++ 56 files changed, 1541 insertions(+) create mode 100644 content/en/landing_instruments/aim-acceptability-of-intervention-measure-score.md create mode 100644 content/en/landing_instruments/alcohol-urges-questionnaire-auq.md create mode 100644 content/en/landing_instruments/arthritis-impact-measurement-scales-2-aims2.md create mode 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content/en/landing_topics/harmony-a-free-ai-tool-to-merge-longitudinal-studies.md diff --git a/content/en/landing_instruments/aim-acceptability-of-intervention-measure-score.md b/content/en/landing_instruments/aim-acceptability-of-intervention-measure-score.md new file mode 100644 index 0000000..a6e8463 --- /dev/null +++ b/content/en/landing_instruments/aim-acceptability-of-intervention-measure-score.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of AIM (Acceptability of Intervention Measure) score" + +url: /harmonisation-validation/aim-acceptability-of-intervention-measure-score +--- + +## Validation and Harmonisation of AIM (Acceptability of Intervention Measure) score + +The AIM (Acceptability of Intervention Measure) score is a measurement tool used to assess the acceptability of interventions in a research study. It consists of seven items, each rated on a scale of 1 (not at all acceptable) to 5 (extremely acceptable). The items cover aspects such as ease of use, satisfaction with the intervention, and willingness to continue using the intervention. + +Harmony can assist researchers in validating and harmonising the AIM score with other instruments through its natural language processing and AI modeling capabilities. By comparing the items in the AIM score with items in other instruments, Harmony can provide a percentage match and identify any potential discrepancies or overlaps. This allows researchers to better understand the relationship between the AIM score and other measures, and determine if the AIM score is an appropriate tool for their research purposes. + +Harmony's ability to harmonise instruments in multiple languages also allows researchers to compare and validate the AIM score across different language versions, ensuring the consistency and validity of the score across different populations. + +Additionally, researchers can use Harmony to establish crosswalks between the AIM score and other instruments, meaning they can identify which items in the AIM score align with items in other measures and create a mapping between them. This can be helpful in comparing results from different studies using different instruments, as well as in conducting longitudinal analysis to assess if the results are consistent over time. + +Overall, Harmony offers a more efficient and objective way for researchers to validate and harmonise the AIM score with other instruments, providing valuable insights and strengthening the reliability of research findings. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of AIM (Acceptability of Intervention Measure) score " title=" Validation and Harmonisation of AIM (Acceptability of Intervention Measure) score " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of AIM (Acceptability of Intervention Measure) score " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/alcohol-urges-questionnaire-auq.md b/content/en/landing_instruments/alcohol-urges-questionnaire-auq.md new file mode 100644 index 0000000..ab3b95e --- /dev/null +++ b/content/en/landing_instruments/alcohol-urges-questionnaire-auq.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ)" + +url: /harmonisation-validation/alcohol-urges-questionnaire-auq +--- + +## Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ) + +The Alcohol Urges Questionnaire (AUQ) is an 8-item self-administered questionnaire that assesses craving for alcohol among alcohol users in the current context. It provides a score that ranges from 8 (lowest craving value) to 56 (highest craving value). + +Validation is a process of evaluating whether an instrument measures what it is intended to measure. In the case of the AUQ, validation would involve assessing whether the questionnaire effectively measures craving for alcohol in alcohol users. + +Harmony can assist in the validation process by using its language models and comparing the items in the AUQ with other established instruments that measure craving for alcohol. This can provide researchers with a percentage match and help them determine the validity of the AUQ. + +Additionally, researchers may also want to harmonise the AUQ with other established instruments. This involves finding which variables in the AUQ match variables in other instruments and establishing crosswalks. Harmony can assist in this process by using its natural language processing and AI models to compare items in different languages and provide a percentage match between the AUQ and other instruments. This can help researchers in cross-validating their results and making comparisons between different instruments in longitudinal studies. + +Harmony's database includes a wide range of instruments, including the AUQ, making it easy for researchers to select the instruments they want to compare and validate. Alternatively, researchers can also upload their own instruments in PDF form to compare and harmonise with other instruments in the database. + +In summary, Harmony can assist researchers in both validating and harmonising the Alcohol Urges Questionnaire (AUQ) with other instruments, making the process more efficient and accurate for longitudinal studies. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ) " title=" Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/arthritis-impact-measurement-scales-2-aims2.md b/content/en/landing_instruments/arthritis-impact-measurement-scales-2-aims2.md new file mode 100644 index 0000000..a8d1127 --- /dev/null +++ b/content/en/landing_instruments/arthritis-impact-measurement-scales-2-aims2.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Arthritis Impact Measurement Scales-2 (AIMS2)" + +url: /harmonisation-validation/arthritis-impact-measurement-scales-2-aims2 +--- + +## Validation and Harmonisation of Arthritis Impact Measurement Scales-2 (AIMS2) + +The Arthritis Impact Measurement Scales-2 (AIMS2) is a widely used instrument for assessing pain in individuals with arthritis. It consists of five items that assess typical pain, pain severity, and pain during specific times of the day, using a 5-point Likert scale ("all days" to "no days"). The possible range of scores is 0-10, with higher scores indicating more severe pain. + +One challenge researchers face when using the AIMS2 is the need to compare and harmonise it with other instruments. This is important for establishing the validity of the AIMS2 and for conducting cross-study analyses. + +Harmony is a software developed specifically for psychologists and social scientists, and it provides a solution for this challenge. Using natural language processing and generative AI models, Harmony can compare instruments and provide a percentage match between each item in the AIMS2 and other instruments. This allows researchers to easily identify and validate the matching variables between the AIMS2 and other instruments. + +Furthermore, researchers can use Harmony's database of instruments or upload their own instruments in PDF form into the Harmony web interface. This flexibility allows researchers to easily harmonise the AIMS2 with a variety of other instruments, even if they are in different languages. + +Overall, Harmony offers a comprehensive and efficient tool for validating and harmonising the AIMS2 with other instruments, which can greatly benefit researchers in their cohort and longitudinal studies on pain in individuals with arthritis. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Arthritis Impact Measurement Scales-2 (AIMS2) " title=" Validation and Harmonisation of Arthritis Impact Measurement Scales-2 (AIMS2) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Arthritis Impact Measurement Scales-2 (AIMS2) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/beck-depression-inventory-ii-bdi-ii.md b/content/en/landing_instruments/beck-depression-inventory-ii-bdi-ii.md new file mode 100644 index 0000000..4aa72a1 --- /dev/null +++ b/content/en/landing_instruments/beck-depression-inventory-ii-bdi-ii.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Beck Depression Inventory-II (BDI-II)" + +url: /harmonisation-validation/beck-depression-inventory-ii-bdi-ii +--- + +## Validation and Harmonisation of Beck Depression Inventory-II (BDI-II) + +The Beck Depression Inventory-II (BDI-II) is a widely used self-report instrument designed to measure the severity of depressive symptoms in individuals aged 13 years and above. It is commonly used in both clinical and research settings to assess the presence and severity of depression in individuals. + +However, in order to compare results across studies or combine data from different studies, researchers often need to harmonise the BDI-II with other instruments. This can be a time-consuming and subjective process, as it involves going through long PDFs of questionnaires and matching items manually. + +This is where Harmony can be helpful. By utilizing natural language processing and generative AI models, Harmony can quickly and objectively compare items in the BDI-II with those in other instruments, even if they are in different languages. Researchers can simply select the BDI-II from Harmony's database or upload their own version in PDF form, and Harmony will provide a percentage match for each item with other instruments such as the PHQ-9 or GAD-7. + +Furthermore, researchers may also want to validate the BDI-II by comparing it with other instruments that measure similar constructs. This can help establish the validity of the BDI-II as a measure of depression and identify any potential overlaps or differences with other instruments. + +Overall, Harmony can be a valuable tool for researchers in the field of psychology, helping them save time and effort in the validation and harmonisation process of the BDI-II with other instruments. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Beck Depression Inventory-II (BDI-II) " title=" Validation and Harmonisation of Beck Depression Inventory-II (BDI-II) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Beck Depression Inventory-II (BDI-II) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/berg-balance-scale.md b/content/en/landing_instruments/berg-balance-scale.md new file mode 100644 index 0000000..f052e3b --- /dev/null +++ b/content/en/landing_instruments/berg-balance-scale.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Berg Balance Scale" + +url: /harmonisation-validation/berg-balance-scale +--- + +## Validation and Harmonisation of Berg Balance Scale + +The Berg Balance Scale (BBS) is a clinical measure used to assess balance in older adults, adults with neurological conditions, and other individuals with balance impairments. It consists of 14 tasks that assess different aspects of balance, such as sitting, standing, and walking. + +One potential challenge with the BBS is that it may not always be feasible or appropriate to use it as the only measure of balance. In some cases, researchers or clinicians may want to compare the results from the BBS with other balance measures to gain a more comprehensive understanding of an individual's balance abilities. + +This is where Harmony can be useful in helping researchers harmonise the BBS with other instruments. Harmony uses natural language processing and AI models to compare items in different questionnaires, including the BBS and other balance measures. + +By using Harmony, researchers can assess the compatibility of the BBS with other instruments and establish crosswalks between different items. This can provide valuable insights into the construct validity of the BBS and its ability to effectively measure changes in an individual's balance over time. + +Additionally, Harmony's database of instruments allows researchers to easily select and compare the BBS with other validated measures of balance in a variety of languages. This can be particularly useful for cross-cultural studies or when working with diverse populations. + +Overall, Harmony can help researchers validate and harmonise the BBS with other instruments, providing a more comprehensive and accurate assessment of an individual's balance abilities. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Berg Balance Scale " title=" Validation and Harmonisation of Berg Balance Scale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Berg Balance Scale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/bristol-stool-scale.md b/content/en/landing_instruments/bristol-stool-scale.md new file mode 100644 index 0000000..9576dc4 --- /dev/null +++ b/content/en/landing_instruments/bristol-stool-scale.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Bristol Stool Scale" + +url: /harmonisation-validation/bristol-stool-scale +--- + +## Validation and Harmonisation of Bristol Stool Scale + +The Bristol Stool Scale is a medical tool designed to classify the form of human feces into seven categories or types, ranging from constipation to diarrhea. It is used to assess the health and well-being of individuals and is often used in clinical settings. + +In order to fully utilize the Bristol Stool Scale and its potential for longitudinal studies, researchers may want to validate its effectiveness in measuring changes over time. This is where Harmony can be helpful. + +Harmony uses natural language processing and AI models to compare and harmonise items from different instruments. Using Harmony, researchers can easily compare the variables in the Bristol Stool Scale with those in other instruments and establish crosswalks between them. + +Additionally, Harmony can also assist in the validation process by providing a percentage match between the variables in the Bristol Stool Scale and those in other instruments. This can help researchers determine the integrity and effectiveness of the Bristol Stool Scale in measuring changes over time compared to other measurement tools. + +Overall, Harmony can provide a more efficient and reliable way for researchers to validate and harmonise the Bristol Stool Scale with other instruments, allowing for more accurate and comprehensive analysis in longitudinal studies. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Bristol Stool Scale " title=" Validation and Harmonisation of Bristol Stool Scale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Bristol Stool Scale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/client-satisfaction-questionnaire-csq.md b/content/en/landing_instruments/client-satisfaction-questionnaire-csq.md new file mode 100644 index 0000000..247ab20 --- /dev/null +++ b/content/en/landing_instruments/client-satisfaction-questionnaire-csq.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ)" + +url: /harmonisation-validation/client-satisfaction-questionnaire-csq +--- + +## Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ) + +The Client Satisfaction Questionnaire (CSQ) is a measure used in psychology and social sciences to assess patient satisfaction with treatment. It consists of 8-10 items and has a scoring range of 8-32. + +Harmony, a software developed for psychologists and social scientists, can help researchers validate and harmonise the CSQ with other instruments. + +Validation is important because it ensures that an instrument is able to accurately measure the construct it is intended to measure. Harmony uses large language models to compare items in the CSQ with items in other instruments. This allows researchers to assess the validity of the CSQ and see if it accurately reflects changes in the construct being measured. + +Moreover, researchers may want to harmonise the CSQ with other instruments in order to compare results and make cross-study comparisons. This is especially useful for longitudinal studies, where researchers want to see if results remain consistent over time or differ due to changing social conditions. Harmony's natural language processing and AI technology makes this process more efficient and less subjective. + +Researchers can either select the CSQ from Harmony's database or upload their own version of the questionnaire in PDF form. Harmony's web interface allows for easy drag and drop of instruments and compares items in multiple languages. This allows for harmonisation not only within the same language but also across different languages. + +In conclusion, Harmony is a valuable tool for researchers looking to validate and harmonise the Client Satisfaction Questionnaire (CSQ) with other instruments. Its technology allows for efficient and accurate comparisons, making it easier to make cross-study comparisons and assess the validity of the CSQ. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ) " title=" Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/clinical-global-impression-of-change-cgic.md b/content/en/landing_instruments/clinical-global-impression-of-change-cgic.md new file mode 100644 index 0000000..a2e63a9 --- /dev/null +++ b/content/en/landing_instruments/clinical-global-impression-of-change-cgic.md @@ -0,0 +1,25 @@ +--- +title: "Validation and Harmonisation of Clinical Global Impression of Change (CGIC)" + +url: /harmonisation-validation/clinical-global-impression-of-change-cgic +--- + +## Validation and Harmonisation of Clinical Global Impression of Change (CGIC) + +The Clinical Global Impression of Change (CGIC) is a tool used in psychiatric research to assess the overall change in a patient's condition over a specific period of time. It is usually rated on a 7-point scale, ranging from 1 (Very Much Improved) to 7 (Very Much Worse). + +Harmony can help researchers harmonise the CGIC with other instruments through its natural language processing and generative AI models. It can compare the items in CGIC with items in other instruments and give a percentage match. This not only saves time and effort for researchers, but also helps in establishing crosswalks between instruments. + +Moreover, Harmony's ability to compare items in multiple languages allows for cross-cultural validation of the CGIC. This is important in ensuring the validity of the tool and its applicability in different populations. + +Overall, Harmony can assist researchers in harmonising the CGIC with other instruments, improving the efficiency and accuracy of their research and helping to establish the validity of the CGIC. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Clinical Global Impression of Change (CGIC) " title=" Validation and Harmonisation of Clinical Global Impression of Change (CGIC) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Clinical Global Impression of Change (CGIC) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/clinician-administered-ptsd-scale-caps.md b/content/en/landing_instruments/clinician-administered-ptsd-scale-caps.md new file mode 100644 index 0000000..864d77a --- /dev/null +++ b/content/en/landing_instruments/clinician-administered-ptsd-scale-caps.md @@ -0,0 +1,33 @@ +--- +title: "Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS)" + +url: /harmonisation-validation/clinician-administered-ptsd-scale-caps +--- + +## Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS) + +The Clinician Administered PTSD Scale (CAPS) is a structured clinical interview used to assess symptoms of Posttraumatic Stress Disorder (PTSD). It consists of 30 items that measure the frequency and intensity of specific PTSD symptoms and has been widely used in research and clinical settings. + +Harmony can assist researchers in two important ways when it comes to the CAPS: validation and harmonisation. + +## Validation +Validation is the process of assessing the degree to which an instrument measures what it intends to measure. In other words, it determines if the CAPS is accurately capturing the construct of PTSD. + +Using Harmony's large language models, researchers can compare the items and scoring of the CAPS with other well-validated measures of PTSD, such as the Impact of Event Scale (IES) or the PTSD Checklist for DSM-5 (PCL-5). By comparing the items and scores, researchers can determine if the CAPS is accurately measuring the same concept as these other measures, thus providing evidence for its validity. + +## Harmonisation +Harmonisation refers to the process of standardizing and aligning items from different instruments. Researchers may want to harmonise the CAPS with other measures in order to compare results across studies and populations. + +Using Harmony, researchers can easily compare the items of the CAPS with those of other instruments, such as the DSM-5's diagnostic criteria for PTSD or self-report measures of PTSD symptoms. This allows for the creation of crosswalks, which are mappings between similar items in different instruments. This crosswalk can then be used to translate scores from one measure to another, allowing for direct comparisons and harmonisation of data. + +Overall, Harmony's abilities in terms of validation and harmonisation can greatly benefit researchers using the CAPS, providing them with more accurate and standardized measures for their studies and facilitating cross-study comparisons. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS) " title=" Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md b/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md new file mode 100644 index 0000000..5c8198a --- /dev/null +++ b/content/en/landing_instruments/columbia-suicide-severity-rating-scale-c-ssrs.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS)" + +url: /harmonisation-validation/columbia-suicide-severity-rating-scale-c-ssrs +--- + +## Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) + +The Columbia-Suicide Severity Rating Scale (C-SSRS) is a semi-structured interview used to assess the occurrence, severity, and frequency of suicide-related thoughts and behaviors during a specific assessment period. It includes definitions and suggested questions to gather relevant information for determining if a suicide-related thought or behavior has occurred. + +Validation is an important aspect of instrument development and use. It refers to the degree to which an instrument measures what it is intended to measure. Researchers may want to validate the C-SSRS in order to determine if it accurately captures the construct of interest. + +Harmony, a software developed for psychologists, can assist researchers in the validation and harmonization of the C-SSRS with other instruments. By using natural language processing and generative AI models, Harmony can compare items in the C-SSRS with those in other instruments and provide a percentage match. This can help researchers identify common variables and establish crosswalks between the C-SSRS and other instruments. + +In addition, Harmony's ability to compare items in multiple languages can be useful for researchers looking to harmonize the C-SSRS with instruments in different languages. This can aid in the validation process, as it allows for cross-cultural comparisons and ensures the measure is valid across different linguistic and cultural groups. + +By using Harmony, researchers can easily compare and harmonize the C-SSRS with other instruments, saving time and ensuring the validity of their research. This can also help facilitate the use of the C-SSRS in longitudinal studies, as it allows for comparisons of results across different time periods and studies. Overall, Harmony can significantly benefit the validation and harmonization of the C-SSRS, making it a valuable tool for researchers in their assessment of suicide-related thoughts and behaviors. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) " title=" Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/comprehensive-psychopathological-rating-scale-cprs.md b/content/en/landing_instruments/comprehensive-psychopathological-rating-scale-cprs.md new file mode 100644 index 0000000..513f191 --- /dev/null +++ b/content/en/landing_instruments/comprehensive-psychopathological-rating-scale-cprs.md @@ -0,0 +1,23 @@ +--- +title: "Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS)" + +url: /harmonisation-validation/comprehensive-psychopathological-rating-scale-cprs +--- + +## Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS) + +The Comprehensive Psychopathological Rating Scale (CPRS) is an 18-item interview-based instrument used by psychologists to assess depression and anxiety symptoms. It includes two subscales, the Montgomery-Asberg Depression Rating Scale (MADRS) and the Brief Scale for Anxiety (BSA), each ranging from 0 to 60 in severity. + +Harmony, a software developed for psychologists, can aid in the validation and harmonisation of the CPRS with other instruments. Using natural language processing and generative AI models, Harmony can compare items in the CPRS with variables in other instruments, providing a percentage match between each item. + +This allows researchers to harmonise the CPRS with other instruments in longitudinal studies, allowing for comparisons within and across studies. It also aids in establishing crosswalks between the CPRS and other instruments, helping to validate the CPRS and ensure its effectiveness in measuring changes in the construct of interest. Overall, Harmony can save researchers time and effort in the time-consuming and subjective process of harmonisation, allowing for more efficient and accurate research in the field of psychology. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS) " title=" Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/contact-lens-user-experience-clue.md b/content/en/landing_instruments/contact-lens-user-experience-clue.md new file mode 100644 index 0000000..fc4ee67 --- /dev/null +++ b/content/en/landing_instruments/contact-lens-user-experience-clue.md @@ -0,0 +1,31 @@ +--- +title: "Validation and Harmonisation of Contact Lens User Experience (CLUE)" + +url: /harmonisation-validation/contact-lens-user-experience-clue +--- + +## Validation and Harmonisation of Contact Lens User Experience (CLUE) + +The Contact Lens User Experience (CLUE) is a validated patient-reported outcomes (PRO) questionnaire used to assess patient-experience attributes of soft contact lenses in a contact-lens wearing population. It measures aspects such as comfort, vision, handling, and packaging to determine the overall user experience. + +Harmony, as a tool for harmonisation, can assist researchers in validating the CLUE or comparing it to other instruments. Here are some ways Harmony can help with this process: + +1. Database of Instruments: Harmony has a database of instruments where researchers can select the CLUE and other instruments they want to compare. This makes it easier for researchers to find and select the relevant instruments for their study. + +2. Natural Language Processing: Harmony uses natural language processing to match items from different questionnaires. This can help researchers find similar variables or concepts in the CLUE and other instruments, making it easier to harmonise them. + +3. Generative AI Models: Harmony also utilizes generative AI models to provide a percentage match between items from different instruments. This can help researchers assess the level of agreement between the CLUE and other instruments, providing a measure of validity. + +4. Crosswalks with Other Instruments: Researchers might also want to establish crosswalks between different instruments. Harmony can assist in this process by identifying and matching variables from the CLUE with those from other instruments, allowing for comparisons and validation. + +Overall, Harmony can save researchers time and effort in the process of validating and harmonising the CLUE with other instruments. Its advanced technology allows for efficient and accurate comparisons, providing valuable insights into the user experience of contact lenses. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Contact Lens User Experience (CLUE) " title=" Validation and Harmonisation of Contact Lens User Experience (CLUE) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Contact Lens User Experience (CLUE) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/dermatology-life-quality-index-dlqi.md b/content/en/landing_instruments/dermatology-life-quality-index-dlqi.md new file mode 100644 index 0000000..513d46a --- /dev/null +++ b/content/en/landing_instruments/dermatology-life-quality-index-dlqi.md @@ -0,0 +1,31 @@ +--- +title: "Validation and Harmonisation of Dermatology Life Quality Index (DLQI)" + +url: /harmonisation-validation/dermatology-life-quality-index-dlqi +--- + +## Validation and Harmonisation of Dermatology Life Quality Index (DLQI) + +The Dermatology Life Quality Index (DLQI) is a widely used questionnaire in dermatology research that measures the impact of skin conditions on an individual's quality of life. + +Harmony software can help researchers validate and harmonise the DLQI with other instruments through its natural language processing and AI capabilities. + +First, researchers can use Harmony to compare the items in the DLQI with those in other instruments, such as the GAD-7 and PHQ-9. This allows for a percentage match and can help researchers determine the level of agreement between the instruments. + +In addition, Harmony can also help researchers establish crosswalks between the DLQI and other instruments. By identifying which variables in the DLQI match with those in other instruments, researchers can create a unified set of questions that address multiple constructs. + +This process not only helps with harmonisation, but it also contributes to the validation of the DLQI by showing its ability to measure change in the construct being studied. + +Furthermore, researchers can also use Harmony to harmonise the DLQI with instruments in different languages. This is especially useful for international studies where multiple languages may be used. + +Overall, Harmony provides a powerful tool for researchers to validate and harmonise the DLQI with other instruments, allowing for more comprehensive and comparative analysis in dermatology research studies. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Dermatology Life Quality Index (DLQI) " title=" Validation and Harmonisation of Dermatology Life Quality Index (DLQI) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Dermatology Life Quality Index (DLQI) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/epworth-sleepiness-scale.md b/content/en/landing_instruments/epworth-sleepiness-scale.md new file mode 100644 index 0000000..5059e36 --- /dev/null +++ b/content/en/landing_instruments/epworth-sleepiness-scale.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Epworth Sleepiness Scale" + +url: /harmonisation-validation/epworth-sleepiness-scale +--- + +## Validation and Harmonisation of Epworth Sleepiness Scale + +The Epworth Sleepiness Scale (ESS) is a self-report questionnaire used to measure the level of daytime sleepiness in adults. It consists of 8 items, each rated from zero (no chance of dozing) to 3 (high chance of dozing), with a total score range from 0 (best) to 24 (worst). + +In order to validate the ESS, researchers might want to compare it with other instruments that measure similar constructs, such as the Pittsburgh Sleep Quality Index or the Insomnia Severity Index. They might also want to establish crosswalks between the ESS and other instruments, in order to compare data from different studies. + +This is where Harmony can be useful. By using natural language processing and AI models, Harmony can compare the items in the ESS with items from other instruments and provide a percentage match. This allows researchers to determine which variables in the ESS align with variables in other instruments and establish crosswalks between them. + +Additionally, Harmony can assist in validating the ESS by comparing it with other instruments that measure similar constructs. This helps researchers determine the degree of change in the construct being measured and establish the validity of the ESS as a measurement tool. + +Overall, Harmony can save researchers time and effort in manually comparing and harmonising instruments, and can provide valuable insights for validating the ESS and crosswalking it with other instruments. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Epworth Sleepiness Scale " title=" Validation and Harmonisation of Epworth Sleepiness Scale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Epworth Sleepiness Scale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/functional-assessment-of-cancer-therapy-general-fact-g-with-fact-head-and-neck-fact-hn-subscale.md b/content/en/landing_instruments/functional-assessment-of-cancer-therapy-general-fact-g-with-fact-head-and-neck-fact-hn-subscale.md new file mode 100644 index 0000000..4421af7 --- /dev/null +++ b/content/en/landing_instruments/functional-assessment-of-cancer-therapy-general-fact-g-with-fact-head-and-neck-fact-hn-subscale.md @@ -0,0 +1,31 @@ +--- +title: "Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale" + +url: /harmonisation-validation/functional-assessment-of-cancer-therapy-general-fact-g-with-fact-head-and-neck-fact-hn-subscale +--- + +## Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale + +The Functional Assessment of Cancer Therapy-General (FACT-G) is a widely used instrument for assessing quality of life (QOL) and functional status in cancer patients. It consists of 27 questions that assess four subscales: physical well-being, social well-being, emotional well-being, and functional well-being. + +The FACT-Head and Neck (FACT-HN) subscale is a supplement to the FACT-G that focuses specifically on the impact of head and neck cancer on QOL and functional status. It consists of 39 questions that assess the same four subscales as the FACT-G. + +To validate the FACT-G with FACT-HN subscale, researchers may want to compare it with other instruments that measure similar constructs. This is where Harmony can be useful. + +Harmony uses natural language processing and AI models to compare questionnaire items and provide a percentage match between each item in different instruments, even if they are in different languages. This can help researchers identify which items in the FACT-G with FACT-HN subscale match with items in other instruments, allowing for cross-validation and harmonisation between different instruments. + +Harmony's database also includes a variety of instruments, so researchers can easily select instruments and compare them to the FACT-G with FACT-HN subscale. They can also upload their own instruments in PDF form for comparison. + +In addition to validation, researchers may also want to establish crosswalks between the FACT-G with FACT-HN subscale and other instruments. This involves finding which variables in one instrument correspond to variables in the other instrument. Harmony's AI models can help identify these correspondences and create crosswalks, making it easier for researchers to compare results from different instruments. + +Overall, Harmony can aid in the validation and harmonisation of the FACT-G with FACT-HN subscale, allowing for better comparisons and understanding of QOL and functional status in cancer patients. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale " title=" Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/hamilton-depression-rating-scale.md b/content/en/landing_instruments/hamilton-depression-rating-scale.md new file mode 100644 index 0000000..8b941e9 --- /dev/null +++ b/content/en/landing_instruments/hamilton-depression-rating-scale.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Hamilton depression rating scale" + +url: /harmonisation-validation/hamilton-depression-rating-scale +--- + +## Validation and Harmonisation of Hamilton depression rating scale + +The Hamilton depression rating scale (HDRS) is a widely used and validated instrument for assessing the severity of depression in clinical and research settings. It consists of 17 items, each rated on a scale of 0 to 4, with a total possible score ranging from 0 (no depression) to 52 (severe depression). The items cover a range of symptoms and behaviors related to depression, such as depressed mood, guilt, insomnia, and psychomotor agitation. + +Harmony can be a useful tool for researchers who want to validate or compare the HDRS with other instruments. With its natural language processing capabilities and AI models, Harmony can analyze the items in the HDRS and compare them to items in other instruments. This can help researchers identify which items in the HDRS correspond to similar items in other instruments, and establish crosswalks between them. + +Moreover, Harmony's database contains a variety of instruments, including other depression rating scales, which researchers can select from to compare with the HDRS. This can provide a more comprehensive view of the construct being measured and aid in validating the HDRS as a reliable measure of depression severity. + +Furthermore, by using Harmony, researchers can easily compare items in multiple languages. This can be particularly useful for international studies, where different instruments may be used in different languages. Harmony's language processing abilities can identify corresponding items in different languages, allowing for easier harmonisation and comparison across studies. + +Overall, Harmony can be a valuable tool for researchers looking to validate the HDRS or harmonise it with other instruments in order to make cross-study comparisons and gain a deeper understanding of depression severity. Its efficient and objective approach can save time and increase accuracy in the harmonisation process, ultimately aiding in the advancement of research in this field. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Hamilton depression rating scale " title=" Validation and Harmonisation of Hamilton depression rating scale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Hamilton depression rating scale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/hospital-anxiety-and-depression-scale-hads.md b/content/en/landing_instruments/hospital-anxiety-and-depression-scale-hads.md new file mode 100644 index 0000000..e3dd3a1 --- /dev/null +++ b/content/en/landing_instruments/hospital-anxiety-and-depression-scale-hads.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS)" + +url: /harmonisation-validation/hospital-anxiety-and-depression-scale-hads +--- + +## Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS) + +The Hospital Anxiety and Depression Scale (HADS) is a widely used self-report tool that measures symptoms of anxiety and depression in clinical and non-clinical populations. + +Harmony can assist researchers in validating the HADS by comparing it with other established instruments that measure similar constructs, such as the GAD-7 and PHQ-9. + +Through its use of natural language processing and generative AI models, Harmony can identify items that are similar or highly correlated across different instruments, helping researchers establish crosswalks and harmonise the HADS with other instruments. + +Furthermore, Harmony's ability to compare items in multiple languages can also assist researchers in validating translated versions of the HADS and establishing its cross-cultural validity. + +Overall, by using Harmony, researchers can easily compare the HADS with other instruments and establish its validity and harmonisation in various studies and populations. This can help in improving the overall understanding and measurement of anxiety and depression in research and clinical settings. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS) " title=" Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/insomnia-severity-index-isi.md b/content/en/landing_instruments/insomnia-severity-index-isi.md new file mode 100644 index 0000000..dd6129c --- /dev/null +++ b/content/en/landing_instruments/insomnia-severity-index-isi.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Insomnia Severity Index (ISI)" + +url: /harmonisation-validation/insomnia-severity-index-isi +--- + +## Validation and Harmonisation of Insomnia Severity Index (ISI) + +The Insomnia Severity Index (ISI) is a self-report questionnaire used to measure the severity of insomnia symptoms in individuals. It consists of seven items that assess different aspects of insomnia, such as sleep onset, sleep maintenance, early morning awakening, and interference with daily functioning. + +One challenge that researchers face when using the ISI is harmonising it with other instruments, especially if those instruments are in different languages. This can be a time-consuming and subjective process, and it can also lead to inconsistencies in data analysis. + +This is where Harmony can be a valuable tool for psychologists. By using large language models, Harmony is able to compare items in the ISI with items in other instruments and provide a percentage match between them. This not only saves researchers time but also ensures a more objective and consistent approach to harmonising instruments. + +Additionally, Harmony's database includes a wide range of instruments from various languages, making it easier for researchers to select and compare items from different instruments. Researchers can also upload their own instruments in PDF form to be harmonised by Harmony's web interface. + +Moreover, Harmony can also aid in validating the ISI by identifying which variables in the index match with variables in other instruments. This can help researchers establish crosswalks between the ISI and other instruments, allowing for more comprehensive and accurate data analysis. + +Overall, Harmony can be a valuable tool for psychologists in validating and harmonising the Insomnia Severity Index with other instruments, making data analysis more efficient and accurate. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Insomnia Severity Index (ISI) " title=" Validation and Harmonisation of Insomnia Severity Index (ISI) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Insomnia Severity Index (ISI) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/loe-silness-gingival-index.md b/content/en/landing_instruments/loe-silness-gingival-index.md new file mode 100644 index 0000000..2851cbc --- /dev/null +++ b/content/en/landing_instruments/loe-silness-gingival-index.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Loe & Silness Gingival Index" + +url: /harmonisation-validation/loe-silness-gingival-index +--- + +## Validation and Harmonisation of Loe & Silness Gingival Index + +The Loe & Silness Gingival Index is a scale used to measure gum (gingival) inflammation. It is used to assess the severity of gingival inflammation in individuals and is scored on a scale of 0 to 3, with 0 indicating no inflammation and 3 indicating severe inflammation. + +Harmony can aid researchers in validating and harmonising the Loe & Silness Gingival Index with other instruments. Validation refers to the process of determining the extent to which an instrument accurately measures the construct it is intended to measure. By using Harmony, researchers can compare the variables within the Loe & Silness Gingival Index with those in other instruments and establish crosswalks between them. + +Using Harmony's natural language processing and AI models, researchers can quickly and accurately compare the Loe & Silness Gingival Index with other instruments in multiple languages. This not only saves time and resources, but also helps ensure consistency and accuracy in the measurement of the construct being studied. + +Furthermore, researchers can use Harmony to validate the Loe & Silness Gingival Index by analyzing its effectiveness in measuring changes in gingival inflammation over time. This can be done by using Harmony to compare results from the Loe & Silness Gingival Index with those from other instruments over a period of time. + +In summary, Harmony can greatly aid in the validation and harmonisation of the Loe & Silness Gingival Index with other instruments in order to enhance the effectiveness and accuracy of research in the field of gingival inflammation. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Loe & Silness Gingival Index " title=" Validation and Harmonisation of Loe & Silness Gingival Index " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Loe & Silness Gingival Index " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md b/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md new file mode 100644 index 0000000..8236587 --- /dev/null +++ b/content/en/landing_instruments/medical-outcomes-survey-sleep-quality-subscale.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale" + +url: /harmonisation-validation/medical-outcomes-survey-sleep-quality-subscale +--- + +## Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale + +The Medical Outcomes Survey Sleep Quality Subscale (MOS-SQS) is a standardized instrument used to assess the quality of sleep in patients. It is a 0-10 numeric rating scale, with 0 representing poor sleep quality and 10 representing a restful night of sleep. + +Researchers may want to validate the MOS-SQS or harmonise it with other similar instruments in order to compare and combine data from different studies. This is where Harmony can be a useful tool. + +Harmony uses natural language processing and generative AI models to compare instruments, including the MOS-SQS, and can give a percentage match between each item in the instrument. This can help researchers identify which variables in the MOS-SQS match variables in other instruments and establish crosswalks between them. + +Additionally, researchers can select the MOS-SQS from Harmony's database or upload their own version of the instrument in PDF form. Harmony can then analyze and compare the items in both versions, providing researchers with a harmonised version of the instrument. + +By harmonising the MOS-SQS with other instruments, researchers can ensure that their data is consistent and comparable across different studies. This can improve the validity of their research and help them make more accurate and reliable conclusions. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale " title=" Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/montgomery-asberg-depression-rating-scale-madrs.md b/content/en/landing_instruments/montgomery-asberg-depression-rating-scale-madrs.md new file mode 100644 index 0000000..b18abf8 --- /dev/null +++ b/content/en/landing_instruments/montgomery-asberg-depression-rating-scale-madrs.md @@ -0,0 +1,23 @@ +--- +title: "Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS)" + +url: /harmonisation-validation/montgomery-asberg-depression-rating-scale-madrs +--- + +## Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS) + +The Montgomery Asberg Depression Rating Scale (MADRS) is a 10-item diagnostic questionnaire used by psychiatrists to measure the severity of depressive episodes in patients with mood disorders. It is a commonly used instrument for assessing depression symptoms and has been validated and widely used in clinical trials and research studies. + +Harmony can help researchers harmonise the MADRS with other instruments by using natural language processing and AI models to compare the items in the MADRS with items in other questionnaires. This can give a percentage match between each item, allowing researchers to identify which variables in the MADRS correspond to variables in other instruments. This can be useful for establishing crosswalks and for validating the MADRS against other measures. + +By using Harmony, researchers can easily compare the MADRS with other instruments, even if they are in different languages, saving time and reducing subjectivity in the harmonisation process. This allows for more efficient use of cohort and longitudinal studies, allowing for comparisons within and across different studies. This can help researchers gain a better understanding of the consistency and validity of the MADRS and other instruments for measuring depression. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS) " title=" Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/montgomery-asberg-depression-rating-scale.md b/content/en/landing_instruments/montgomery-asberg-depression-rating-scale.md new file mode 100644 index 0000000..cb266cc --- /dev/null +++ b/content/en/landing_instruments/montgomery-asberg-depression-rating-scale.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Montgomery Asberg Depression Rating Scale" + +url: /harmonisation-validation/montgomery-asberg-depression-rating-scale +--- + +## Validation and Harmonisation of Montgomery Asberg Depression Rating Scale + +The Montgomery Asberg Depression Rating Scale (MADRS) is a commonly used tool in the assessment and severity rating of depression. It consists of 10 items that cover the core symptoms of depression, including mood, sleep, appetite, and energy levels. Each item is rated on a 7-point scale, with higher scores indicating more severe depressive symptoms. + +One of the challenges in research is to compare and combine data from multiple studies and instruments. This is where the Harmony software can be of help. Harmony utilizes natural language processing and generative AI models to compare items in instruments such as the MADRS with other depression assessment tools, such as the Beck Depression Inventory (BDI) or the Hamilton Rating Scale for Depression (HAM-D). + +Harmony's database contains a vast collection of instruments from various languages and allows researchers to easily select and compare items. With its accuracy and efficiency, Harmony can provide a percentage match between each item in the MADRS and other instruments, which can help researchers determine the level of agreement and consistency between the scales. + +Furthermore, Harmony's crosswalk feature can assist researchers in identifying which variables in the MADRS align with those in other instruments. This can make it easier to combine data from different studies and provide a more comprehensive analysis of the construct being measured. + +Overall, Harmony can aid in the validation and harmonisation of the MADRS with other instruments, making it a valuable tool for researchers in the field of psychology. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Montgomery Asberg Depression Rating Scale " title=" Validation and Harmonisation of Montgomery Asberg Depression Rating Scale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Montgomery Asberg Depression Rating Scale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/numeric-pain-rating-scale-nprs.md b/content/en/landing_instruments/numeric-pain-rating-scale-nprs.md new file mode 100644 index 0000000..cfa50a6 --- /dev/null +++ b/content/en/landing_instruments/numeric-pain-rating-scale-nprs.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Numeric Pain Rating Scale (NPRS)" + +url: /harmonisation-validation/numeric-pain-rating-scale-nprs +--- + +## Validation and Harmonisation of Numeric Pain Rating Scale (NPRS) + +The Numeric Pain Rating Scale (NPRS) is a commonly used instrument in the field of pain assessment. It is a 0-10 scale, with 0 representing no pain and 10 representing the worst imaginable pain. It is a self-report measure and is typically used to assess pain intensity. + +When using the NPRS, researchers may want to validate its effectiveness in measuring changes in pain over time. This is known as validity. However, comparing the results of the NPRS to other measures can be time-consuming and tedious. + +This is where Harmony can help. Using natural language processing and AI, Harmony can quickly and accurately compare the NPRS to other instruments and establish crosswalks between them. This allows researchers to easily harmonise the NPRS with other measures, saving them time and effort. + +Through Harmony's web interface, researchers can select the NPRS from their database or upload their own version of the instrument in PDF form. Harmony will then compare the items in the NPRS to items in other instruments, providing a percentage match between them. + +By harmonising the NPRS with other measures, researchers can make more comprehensive comparisons and validate the effectiveness of the NPRS in measuring pain intensity. This can lead to better understanding and treatment of pain in patients. + +In conclusion, Harmony is a valuable tool for psychologists researching pain assessment. It can save time and effort by harmonising the NPRS with other instruments and helping to establish the validity of the NPRS in measuring pain intensity. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Numeric Pain Rating Scale (NPRS) " title=" Validation and Harmonisation of Numeric Pain Rating Scale (NPRS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Numeric Pain Rating Scale (NPRS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/oswestry-disability-index-odi.md b/content/en/landing_instruments/oswestry-disability-index-odi.md new file mode 100644 index 0000000..5338a37 --- /dev/null +++ b/content/en/landing_instruments/oswestry-disability-index-odi.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Oswestry Disability Index (ODI)" + +url: /harmonisation-validation/oswestry-disability-index-odi +--- + +## Validation and Harmonisation of Oswestry Disability Index (ODI) + +The Oswestry Disability Index (ODI) is a widely used questionnaire for measuring the change in pain and function after spine fusion surgery. It consists of 10 questions related to different daily activities and their level of difficulty due to back or leg pain. The scores range from 0 to 100, with higher scores indicating worse outcomes. + +Validating the ODI is important in order to ensure its reliability and accuracy in measuring the change in pain and function. This is where Harmony can be helpful for researchers. + +Harmony uses natural language processing and generative AI models to identify and compare variables in different instruments, in this case the ODI and other questionnaires related to pain and function. Researchers can input their own instruments or select from Harmony's database and Harmony will compare the variables and give a percentage match between each item. + +This allows researchers to establish crosswalks between the ODI and other instruments, making it easier to compare and harmonise data from different studies. Additionally, Harmony can also provide suggestions for new variables or questions that may enhance the validity of the ODI and improve its ability to measure changes in pain and function. + +In summary, Harmony can assist researchers in validating the ODI and harmonising it with other instruments, improving the accuracy and reliability of data collected and allowing for more comprehensive comparisons and analyses. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Oswestry Disability Index (ODI) " title=" Validation and Harmonisation of Oswestry Disability Index (ODI) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Oswestry Disability Index (ODI) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/overall-health-related-quality-of-life-sf-36.md b/content/en/landing_instruments/overall-health-related-quality-of-life-sf-36.md new file mode 100644 index 0000000..787c34c --- /dev/null +++ b/content/en/landing_instruments/overall-health-related-quality-of-life-sf-36.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Overall Health-related Quality of Life (SF-36)" + +url: /harmonisation-validation/overall-health-related-quality-of-life-sf-36 +--- + +## Validation and Harmonisation of Overall Health-related Quality of Life (SF-36) + +The Overall Health-related Quality of Life (SF-36) is a self-reported questionnaire commonly used to measure overall health status in research and healthcare settings. It consists of eight scaled scores, each measuring a different aspect of physical and mental health. Researchers often use this instrument to assess changes in health status over time or compare it with other similar instruments. + +However, the process of validating and harmonising the Overall Health-related Quality of Life (SF-36) with other instruments can be time-consuming and subjective. This is where Harmony can be a valuable tool for researchers. + +Harmony uses natural language processing and generative AI models to compare items in the SF-36 with items in other instruments, even in different languages. This allows researchers to quickly and objectively identify which variables in the SF-36 match variables in other instruments. They can then establish crosswalks and harmonise the data to be used in their research. + +Harmony can also assist in the validation process by providing a percentage match between each item in the SF-36 and other instruments, allowing researchers to assess the degree of similarity between the two. + +Overall, Harmony streamlines and automates the process of validating and harmonising the Overall Health-related Quality of Life (SF-36) with other instruments, saving researchers time and effort while also ensuring more accurate and consistent results in their studies. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Overall Health-related Quality of Life (SF-36) " title=" Validation and Harmonisation of Overall Health-related Quality of Life (SF-36) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Overall Health-related Quality of Life (SF-36) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/patient-global-impression-of-change-pgic.md b/content/en/landing_instruments/patient-global-impression-of-change-pgic.md new file mode 100644 index 0000000..9ef54cd --- /dev/null +++ b/content/en/landing_instruments/patient-global-impression-of-change-pgic.md @@ -0,0 +1,37 @@ +--- +title: "Validation and Harmonisation of Patient Global Impression of Change (PGIC)" + +url: /harmonisation-validation/patient-global-impression-of-change-pgic +--- + +## Validation and Harmonisation of Patient Global Impression of Change (PGIC) + +The Patient Global Impression of Change (PGIC) is a participant-rated instrument used to measure the overall change in a participant's status over the course of a study. It is often used in clinical trials and longitudinal studies to assess the effectiveness of treatments, interventions, or changes in social conditions. + +Harmony, the software developed for psychologists, can be a valuable tool for validating and harmonising the PGIC with other instruments. Harmony uses natural language processing and generative AI models to compare instruments and identify matching variables between different questionnaires, even if they are in different languages. This can greatly aid researchers in harmonising the PGIC with other instruments and establishing crosswalks between different measures. + +## Why is validation important for the PGIC? + +Validation is a crucial step in the research process, especially when it comes to measuring change in a specific construct. Without proper validation, the results of a study may be called into question and the data may not accurately represent the phenomenon being studied. + +In the case of the PGIC, validation is important to ensure that the instrument is indeed measuring the desired construct of overall change in the participant's status. This involves comparing the PGIC with other instruments that are known to measure the same or similar constructs, and establishing the validity of the PGIC by demonstrating its ability to accurately measure change in the construct. + +## How does Harmony aid in validating and harmonising the PGIC? + +Harmony uses large language models to compare instruments and can give a percentage match between each item in instruments such as the PGIC and other questionnaires. This allows researchers to easily identify which variables in the PGIC match variables in other instruments, helping to establish crosswalks and harmonise the PGIC with other measures. + +Additionally, Harmony's database of instruments and its ability to compare items in multiple languages makes it a valuable tool for researchers seeking to validate and harmonise the PGIC with other instruments, even if they are from different cultural or linguistic backgrounds. + +## Conclusion + +In conclusion, validation and harmonisation of the PGIC is essential for ensuring the accuracy and reliability of results in research studies. Harmony, with its advanced language processing and AI capabilities, can greatly aid researchers in this process by identifying matching variables and establishing crosswalks between the PGIC and other instruments. This can ultimately improve the quality of research and further our understanding of the construct being measured. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Patient Global Impression of Change (PGIC) " title=" Validation and Harmonisation of Patient Global Impression of Change (PGIC) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Patient Global Impression of Change (PGIC) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/patient-health-questionnaire-9-phq-9.md b/content/en/landing_instruments/patient-health-questionnaire-9-phq-9.md new file mode 100644 index 0000000..4122c46 --- /dev/null +++ b/content/en/landing_instruments/patient-health-questionnaire-9-phq-9.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9)" + +url: /harmonisation-validation/patient-health-questionnaire-9-phq-9 +--- + +## Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9) + +The Patient Health Questionnaire-9 (PHQ-9) is a self-report questionnaire used to measure the severity of depression symptoms. It consists of 9 items, each corresponding to one of the DSM-IV diagnostic criteria for major depressive disorder. The possible range of scores for the PHQ-9 is 0-27, with higher values indicating more severe depression symptoms. + +Harmony can be used to both validate and harmonise the PHQ-9 with other instruments. Validation is the process of assessing the reliability and validity of an instrument, while harmonisation is the process of comparing and matching items from different instruments. + +One way Harmony can help researchers is by providing a percentage match between each item in the PHQ-9 and items in other instruments. This allows researchers to identify which items in the PHQ-9 correspond to similar items in other measures. In addition, researchers can use Harmony to establish crosswalks between the PHQ-9 and other instruments, which can help with data integration and comparison across studies. + +Another benefit of using Harmony for validation is the use of natural language processing and generative AI models. These advanced technologies can help researchers identify patterns and relationships between items in the PHQ-9 and other instruments, providing a more comprehensive understanding of their constructs and how they relate to each other. + +Overall, the use of Harmony in validating and harmonising the PHQ-9 can help researchers better understand and compare depression symptoms across different instruments, languages, and studies. This can lead to more accurate and reliable data analysis and help advance research in the field of psychology. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9) " title=" Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/patient-reported-outcome-measure-information-system-promis-anxiety-subscale.md b/content/en/landing_instruments/patient-reported-outcome-measure-information-system-promis-anxiety-subscale.md new file mode 100644 index 0000000..ba5fe1e --- /dev/null +++ b/content/en/landing_instruments/patient-reported-outcome-measure-information-system-promis-anxiety-subscale.md @@ -0,0 +1,25 @@ +--- +title: "Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale" + +url: /harmonisation-validation/patient-reported-outcome-measure-information-system-promis-anxiety-subscale +--- + +## Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale + +The Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale is a commonly used measure of anxiety symptoms in research and clinical settings. It consists of four items that assess different aspects of anxiety, such as worry, fear, and trouble relaxing. + +Harmony can assist researchers in validating the PROMIS Anxiety subscale by comparing it with other well-established instruments for anxiety, such as the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9). By using Harmony's natural language processing and AI models, researchers can compare the items in the PROMIS Anxiety subscale with those in the GAD-7 and PHQ-9 to determine their level of similarity and validity. + +Harmony can also be used for harmonisation of the PROMIS Anxiety subscale with other instruments. This means that researchers can compare the items in the PROMIS Anxiety subscale with similar items in other instruments, and establish crosswalks or mappings between them. This can help researchers to better understand the relationship between different measures of anxiety and potentially use them interchangeably in their studies. + +By using Harmony, researchers can save time and resources in the process of validation and harmonisation of the PROMIS Anxiety subscale. Rather than manually comparing the items in different instruments, Harmony can provide a quick and objective comparison, highlighting any differences or similarities between them. This can help researchers to confidently use the PROMIS Anxiety subscale in their studies and make meaningful comparisons with other measures of anxiety. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale " title=" Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/pedsql-multidimensional-fatigue-scale.md b/content/en/landing_instruments/pedsql-multidimensional-fatigue-scale.md new file mode 100644 index 0000000..1a224d4 --- /dev/null +++ b/content/en/landing_instruments/pedsql-multidimensional-fatigue-scale.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale" + +url: /harmonisation-validation/pedsql-multidimensional-fatigue-scale +--- + +## Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale + +The PedsQL Multidimensional Fatigue Scale is a questionnaire used to measure fatigue in children. It consists of three subscales: general fatigue, cognitive fatigue, and sleep-rest fatigue. + +Harmony can assist researchers in validating and harmonising the PedsQL Multidimensional Fatigue Scale with other instruments. Validation is the process of determining the degree to which an instrument accurately measures the construct it is intended to measure. By using Harmony, researchers can compare the items in the PedsQL Multidimensional Fatigue Scale with items in other instruments and establish their crosswalks, allowing for better understanding and comparison of results across different studies. + +Harmony's natural language processing and AI models can facilitate this process by highlighting similarities and differences between the items in the PedsQL Multidimensional Fatigue Scale and other instruments. Researchers can then validate the PedsQL Multidimensional Fatigue Scale by comparing its scores to those of the other instruments and assessing its reliability and validity. + +Furthermore, Harmony allows for the harmonisation of the PedsQL Multidimensional Fatigue Scale with other instruments in different languages. This can be particularly beneficial for cross-cultural studies or studies involving diverse populations. Researchers can use Harmony to compare the items in different languages and ensure that the translated versions of the PedsQL Multidimensional Fatigue Scale are equivalent to the original version. + +Overall, the use of Harmony can aid in the validation and harmonisation of the PedsQL Multidimensional Fatigue Scale, providing researchers with a more comprehensive and accurate understanding of fatigue in children. This can lead to better and more consistent results across studies, ultimately advancing the field of psychology and improving the measurement of fatigue in pediatric populations. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale " title=" Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/penn-alcohol-craving-scale-pacs.md b/content/en/landing_instruments/penn-alcohol-craving-scale-pacs.md new file mode 100644 index 0000000..78024c3 --- /dev/null +++ b/content/en/landing_instruments/penn-alcohol-craving-scale-pacs.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Penn Alcohol Craving Scale (PACS)" + +url: /harmonisation-validation/penn-alcohol-craving-scale-pacs +--- + +## Validation and Harmonisation of Penn Alcohol Craving Scale (PACS) + +The Penn Alcohol Craving Scale (PACS) is a five-item self-administered instrument used to measure alcohol craving over the past week. It has a scoring range from 0 (lowest craving value) to 30 (highest craving value). The PACS is widely used by psychologists and researchers to assess alcohol craving in individuals and its effectiveness in treatment. + +With the help of Harmony, researchers can validate the PACS and compare it with other instruments to establish crosswalks. This allows for a more comprehensive understanding of alcohol craving and its measurement. By using Harmony, researchers can compare the items of the PACS with other instruments in different languages to ensure consistency and accuracy in measurement. + +Harmony's natural language processing and AI models can also identify any discrepancies or overlaps between the PACS and other instruments. This can help researchers to refine and improve the PACS, and potentially create a more effective measurement tool for assessing alcohol craving. + +Furthermore, researchers can use Harmony to harmonise the PACS with other instruments, such as the GAD-7 or PHQ-9, in order to compare results and test for consistency across studies. This allows for a deeper analysis of alcohol craving and its potential relationship with other psychological constructs. + +In conclusion, Harmony can provide valuable assistance to researchers in validating, refining, and harmonising the Penn Alcohol Craving Scale with other instruments, leading to a better understanding of alcohol craving and its measurement in research and treatment. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Penn Alcohol Craving Scale (PACS) " title=" Validation and Harmonisation of Penn Alcohol Craving Scale (PACS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Penn Alcohol Craving Scale (PACS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/perceived-stress-scale-pss.md b/content/en/landing_instruments/perceived-stress-scale-pss.md new file mode 100644 index 0000000..4034e24 --- /dev/null +++ b/content/en/landing_instruments/perceived-stress-scale-pss.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Perceived Stress Scale (PSS)" + +url: /harmonisation-validation/perceived-stress-scale-pss +--- + +## Validation and Harmonisation of Perceived Stress Scale (PSS) + +The Perceived Stress Scale (PSS) is a commonly used instrument in psychology to measure the degree of stress in a person's life. It consists of 10 items designed to evaluate the levels of stress in three areas: overload, unpredictability, and lack of control. + +Researchers often want to validate the PSS or harmonise it with other instruments to establish its reliability and make comparisons across studies. This is where Harmony can be a useful tool. + +Harmony's natural language processing and AI models can be used to compare the items in the PSS with those in other instruments, such as the Depression Anxiety Stress Scale (DASS) or the Hamilton Anxiety Rating Scale (HAM-A). By inputting the items into Harmony's web interface, researchers can receive a percentage match between each item, allowing them to make comparisons and establish crosswalks with other instruments. + +Harmony's ability to compare instruments in multiple languages is also beneficial for researchers who work with diverse populations or conduct studies in different countries. + +Moreover, by using Harmony, researchers can save time and effort that would otherwise be spent manually comparing and matching items from different questionnaires, as well as avoid subjective biases that can arise from such a process. + +In short, Harmony can help researchers to validate and harmonise the Perceived Stress Scale (PSS) with other instruments, making it easier to compare results and establish reliability across studies. This can ultimately lead to a better understanding of stress and its impact on individuals' lives. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Perceived Stress Scale (PSS) " title=" Validation and Harmonisation of Perceived Stress Scale (PSS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Perceived Stress Scale (PSS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/physical-activity-scale-for-the-elderly-pase.md b/content/en/landing_instruments/physical-activity-scale-for-the-elderly-pase.md new file mode 100644 index 0000000..497759e --- /dev/null +++ b/content/en/landing_instruments/physical-activity-scale-for-the-elderly-pase.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Physical Activity Scale for the Elderly (PASE)" + +url: /harmonisation-validation/physical-activity-scale-for-the-elderly-pase +--- + +## Validation and Harmonisation of Physical Activity Scale for the Elderly (PASE) + +The Physical Activity Scale for the Elderly (PASE) is a widely used self-reported instrument for measuring physical activity in older adults. It is designed to assess a range of activities that older adults may engage in, such as leisure, household, or work-related activities. The PASE has been shown to have good reliability and validity in measuring physical activity in older adults, making it a valuable tool in research studies. + +However, researchers may still want to validate and harmonise the PASE with other instruments in order to compare data between studies or to assess its effectiveness for specific populations. This is where Harmony can be a useful software for psychologists. + +Using Harmony, researchers can input the PASE into the software and compare it with other instruments in Harmony's database. The software uses natural language processing and generative AI models to identify matching items and provide a percentage match between the PASE and other instruments. This can help researchers validate the PASE and establish crosswalks with other instruments, allowing for comparison and harmonisation of data from different studies. + +Furthermore, Harmony can also compare items in multiple languages, making it a versatile tool for international research studies. This can be particularly useful for validating and harmonising the PASE with instruments used in different languages or cultural contexts. + +In conclusion, Harmony is a valuable software for psychologists that can aid in the validation and harmonisation of the Physical Activity Scale for the Elderly (PASE) with other instruments, allowing for more comprehensive and accurate analysis of physical activity data in older adults. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Physical Activity Scale for the Elderly (PASE) " title=" Validation and Harmonisation of Physical Activity Scale for the Elderly (PASE) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Physical Activity Scale for the Elderly (PASE) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/pittsburgh-sleep-quality-index-psqi.md b/content/en/landing_instruments/pittsburgh-sleep-quality-index-psqi.md new file mode 100644 index 0000000..c75481f --- /dev/null +++ b/content/en/landing_instruments/pittsburgh-sleep-quality-index-psqi.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of Pittsburgh Sleep Quality Index (PSQI)" + +url: /harmonisation-validation/pittsburgh-sleep-quality-index-psqi +--- + +## Validation and Harmonisation of Pittsburgh Sleep Quality Index (PSQI) + +The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire that is widely used by researchers to measure overall sleep quality. It consists of 19 questions that assess different aspects of sleep, such as bedtime, sleep duration, sleep disturbances, and daytime dysfunction. The scores from these questions are then combined to yield a global score, which ranges from 0-21, with higher scores indicating poorer sleep quality. + +There are many other instruments that are used to measure sleep quality and researchers may want to compare their results with the PSQI. However, manually comparing and harmonising these instruments can be a time-consuming and subjective process. This is where Harmony can help. + +Harmony uses natural language processing and generative AI models to compare instruments, including the PSQI, and provide a percentage match between each item. Researchers can either select instruments from Harmony's database or upload their own instruments in PDF form to compare. + +By harmonising the PSQI with other instruments, researchers can establish crosswalks and find which variables in the PSQI match variables in other instruments. This can help researchers validate the PSQI and determine its effectiveness in measuring sleep quality compared to other instruments. As a result, researchers can make more informed decisions on which instrument to use in their studies and ensure consistency in their results. + +Furthermore, using Harmony to validate and harmonise the PSQI can also help with longitudinal studies. By comparing results from the PSQI over time and across different studies, researchers can track changes in sleep quality and determine if these changes are consistent or vary depending on different social conditions. + +In conclusion, Harmony is a valuable tool for psychologists and social scientists who work with the PSQI. It can save time, provide objective comparisons, and help establish validity and consistency in sleep quality measurements. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Pittsburgh Sleep Quality Index (PSQI) " title=" Validation and Harmonisation of Pittsburgh Sleep Quality Index (PSQI) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Pittsburgh Sleep Quality Index (PSQI) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/pittsburgh-sleep-quality-index.md b/content/en/landing_instruments/pittsburgh-sleep-quality-index.md new file mode 100644 index 0000000..e05e26f --- /dev/null +++ b/content/en/landing_instruments/pittsburgh-sleep-quality-index.md @@ -0,0 +1,25 @@ +--- +title: "Validation and Harmonisation of Pittsburgh Sleep Quality Index" + +url: /harmonisation-validation/pittsburgh-sleep-quality-index +--- + +## Validation and Harmonisation of Pittsburgh Sleep Quality Index + +The Pittsburgh Sleep Quality Index (PSQI) is a widely used questionnaire measure that assesses sleep quality in adults. It consists of 19 individual items, which are used to generate seven component scores: subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleep medications, and daytime dysfunction. A global score can also be calculated by summing the individual component scores, with a higher score indicating poorer sleep quality. + +Harmony can be a useful tool for researchers who are looking to validate the PSQI or compare it with other sleep quality instruments. Through its advanced natural language processing algorithms, Harmony can identify and compare similar items between the PSQI and other instruments, allowing researchers to establish crosswalks and determine the degree of similarity or differences between them. + +In addition, Harmony can help researchers harmonise the PSQI with other instruments by identifying and aligning similar variables or constructs, allowing for more efficient and accurate comparisons across studies. This can be particularly valuable for longitudinal studies looking to assess changes in sleep quality over time, as researchers can use Harmony to ensure consistency in their assessments and identify any discrepancies or differences in results. + +Overall, Harmony can be a useful tool for validating and harmonising the PSQI with other instruments, aiding researchers in their studies on sleep quality and potentially leading to more standardized and comparable data in the field. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Pittsburgh Sleep Quality Index " title=" Validation and Harmonisation of Pittsburgh Sleep Quality Index " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Pittsburgh Sleep Quality Index " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/positive-and-negative-syndrome-scale-panss.md b/content/en/landing_instruments/positive-and-negative-syndrome-scale-panss.md new file mode 100644 index 0000000..20eeb84 --- /dev/null +++ b/content/en/landing_instruments/positive-and-negative-syndrome-scale-panss.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Positive and Negative Syndrome Scale (PANSS)" + +url: /harmonisation-validation/positive-and-negative-syndrome-scale-panss +--- + +## Validation and Harmonisation of Positive and Negative Syndrome Scale (PANSS) + +The Positive and Negative Syndrome Scale (PANSS) is a widely used instrument in the field of psychiatry, specifically in the evaluation of schizophrenia. It consists of 30 items that assess the positive and negative symptoms of schizophrenia, such as hallucinations and social withdrawal. The PANSS has been found to be a valid and reliable measure of the severity of schizophrenia symptoms. However, in order to make comparisons with other instruments or across studies, it is important to validate the PANSS and harmonise it with other measures. + +Harmony can be a valuable tool for researchers in the validation and harmonisation of the PANSS. By using its natural language processing and AI capabilities, Harmony can compare the items in the PANSS with items in other instruments, both within and across studies. This can help researchers identify which variables in the PANSS match with variables in other measures, and establish crosswalks between the PANSS and other instruments. + +Furthermore, Harmony's ability to compare items in multiple languages can be particularly helpful for researchers working with international cohorts or in cross-cultural studies. The PANSS has been translated into many languages, and with Harmony, researchers can easily validate and harmonise the translated versions of the scale with its original English version. + +In addition, Harmony's database includes a wide range of instruments commonly used in psychology and social science research, including other measures of schizophrenia symptoms. Researchers can select these instruments from Harmony's database to compare and harmonise with the PANSS, saving them time and effort in manually searching and comparing instruments. + +Overall, Harmony can be a useful tool for psychologists and social scientists in the validation and harmonisation of the PANSS, allowing for more robust and accurate comparisons between studies and instruments. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Positive and Negative Syndrome Scale (PANSS) " title=" Validation and Harmonisation of Positive and Negative Syndrome Scale (PANSS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Positive and Negative Syndrome Scale (PANSS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/promis-29-v2-0-questionnaire.md b/content/en/landing_instruments/promis-29-v2-0-questionnaire.md new file mode 100644 index 0000000..1c18462 --- /dev/null +++ b/content/en/landing_instruments/promis-29-v2-0-questionnaire.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of PROMIS-29 v2.0 questionnaire" + +url: /harmonisation-validation/promis-29-v2-0-questionnaire +--- + +## Validation and Harmonisation of PROMIS-29 v2.0 questionnaire + +The Patient-Reported Outcomes Measurement Information System (PROMIS) is a set of measures that assess various health domains such as physical, mental, and social health. The PROMIS-29 v2.0 questionnaire is a widely used instrument that measures patient-reported outcomes for adults in multiple domains. + +Harmony can help researchers harmonise the PROMIS-29 v2.0 questionnaire with other instruments by using its natural language processing and generative AI models. Researchers can input the questionnaire into Harmony's web interface and compare it with other instruments in Harmony's database or drag and drop their own instruments in PDF form. + +This process can help researchers validate the PROMIS-29 v2.0 questionnaire by comparing it with other instruments and establishing crosswalks. Validating an instrument is important as it ensures that the instrument is accurately measuring the intended outcome and can effectively capture changes over time. + +Moreover, by harmonising the PROMIS-29 v2.0 questionnaire with other instruments, researchers can make comparisons both within and across studies. This allows for a more comprehensive analysis and understanding of the data collected. + +In conclusion, Harmony can aid researchers in validating and harmonising the PROMIS-29 v2.0 questionnaire with other instruments, promoting efficiency and accuracy in research. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of PROMIS-29 v2.0 questionnaire " title=" Validation and Harmonisation of PROMIS-29 v2.0 questionnaire " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of PROMIS-29 v2.0 questionnaire " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/promis-depression-subscale.md b/content/en/landing_instruments/promis-depression-subscale.md new file mode 100644 index 0000000..8f48b7e --- /dev/null +++ b/content/en/landing_instruments/promis-depression-subscale.md @@ -0,0 +1,29 @@ +--- +title: "Validation and Harmonisation of PROMIS depression subscale" + +url: /harmonisation-validation/promis-depression-subscale +--- + +## Validation and Harmonisation of PROMIS depression subscale + +The Patient-Reported Outcomes Measurement Information System (PROMIS) is a set of questionnaires designed to assess various aspects of a person's physical, mental, and social health. The PROMIS depression subscale specifically measures the severity of depressive symptoms in individuals. + +The subscale consists of eight items, rated on a scale of 0-4 with higher scores indicating more severe depression. It has been validated and extensively used in research and clinical settings. + +However, researchers may want to validate or harmonise the PROMIS depression subscale with other instruments in their studies. This can help them better understand the relationship between depression and other variables, as well as make comparisons between different studies. + +This is where Harmony can be used. By comparing the items in the PROMIS depression subscale with other instruments, Harmony can provide a percentage match between them. This allows researchers to see which variables in the PROMIS depression subscale are similar to those in other instruments. + +Additionally, Harmony's large language models can also help in validating the PROMIS depression subscale by assessing its ability to measure changes in the construct of depression. By using multiple instruments and comparing the results, researchers can determine the validity of the PROMIS depression subscale and its effectiveness in measuring changes in depression over time. + +In summary, Harmony can assist researchers in harmonising the PROMIS depression subscale with other instruments, as well as validating its use in studies. This can ultimately lead to a better understanding of depression and its impact on individuals' overall health and well-being. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of PROMIS depression subscale " title=" Validation and Harmonisation of PROMIS depression subscale " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of PROMIS depression subscale " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/quality-of-life-qol-eortc-qlq-c30.md b/content/en/landing_instruments/quality-of-life-qol-eortc-qlq-c30.md new file mode 100644 index 0000000..f6ca061 --- /dev/null +++ b/content/en/landing_instruments/quality-of-life-qol-eortc-qlq-c30.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30" + +url: /harmonisation-validation/quality-of-life-qol-eortc-qlq-c30 +--- + +## Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30 + +The Quality of Life (QoL) EORTC QLQ-C30 is a commonly used questionnaire designed to assess the quality of life of cancer patients. It contains 30 items that cover aspects such as physical, emotional, and social functioning, as well as symptoms and overall quality of life. + +To ensure the validity of the QoL EORTC QLQ-C30, researchers may want to validate it against other instruments or harmonise it with other similar questionnaires. This helps to establish the reliability of the QoL EORTC QLQ-C30 and allows for comparisons to be made across studies. + +Harmony software can be a valuable tool for this process by using natural language processing and generative AI models to compare the items in QoL EORTC QLQ-C30 with items in other instruments. Researchers can select instruments from Harmony's database or upload their own instruments in PDF form to compare them. + +Harmony can also compare items in multiple languages, making it easier for researchers to harmonise instruments across different languages and cultures. + +By using Harmony, researchers can save time and reduce subjectivity in the harmonisation process. They can also establish crosswalks between different instruments, allowing for more comprehensive comparisons and analyses in their research. Overall, Harmony can greatly aid in the validation and harmonisation of the Quality of Life (QoL) EORTC QLQ-C30 and other similar questionnaires. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30 " title=" Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30 " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30 " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/quickley-hein-plaque-index-pi.md b/content/en/landing_instruments/quickley-hein-plaque-index-pi.md new file mode 100644 index 0000000..734ff0e --- /dev/null +++ b/content/en/landing_instruments/quickley-hein-plaque-index-pi.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Quickley-Hein plaque index (PI)" + +url: /harmonisation-validation/quickley-hein-plaque-index-pi +--- + +## Validation and Harmonisation of Quickley-Hein plaque index (PI) + +The Quickley-Hein plaque index (PI) is a tool used by dentists to measure the amount of plaque on a patient's teeth. It is determined by visually inspecting the buccal and lingual surfaces of each tooth and scoring them on a scale from 0 to 5, with higher scores indicating a greater amount of plaque. + +Harmony can assist researchers in validating and harmonising the Quickley-Hein plaque index (PI) with other instruments. Validity is an important aspect of any instrument, as it measures the degree to which the instrument is able to accurately measure the construct it is intended to measure. By using Harmony's language models, researchers can compare the variables in the Quickley-Hein plaque index (PI) with those in other instruments and establish crosswalks between them. + +This means that researchers can use Harmony to determine if the Quickley-Hein plaque index (PI) is measuring the same construct as other plaque index instruments, and if there are any discrepancies or overlaps between them. This validation process can help researchers decide if the Quickley-Hein plaque index (PI) is a reliable and accurate tool to use in their studies. + +Additionally, researchers can also use Harmony to harmonise the Quickley-Hein plaque index (PI) with other instruments. Harmonisation is the process of comparing and aligning items from different instruments, allowing for easier comparison and analysis of data. By using Harmony, researchers can harmonise the Quickley-Hein plaque index (PI) with other plaque index instruments, potentially creating a standardized measure that can be used across studies. + +Overall, by using Harmony, researchers can validate and harmonise the Quickley-Hein plaque index (PI) with other instruments, helping to improve the reliability and comparability of data collected using this index. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Quickley-Hein plaque index (PI) " title=" Validation and Harmonisation of Quickley-Hein plaque index (PI) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Quickley-Hein plaque index (PI) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/quigley-hein-turesky-modification-index-for-dental-plaque.md b/content/en/landing_instruments/quigley-hein-turesky-modification-index-for-dental-plaque.md new file mode 100644 index 0000000..24cc7b6 --- /dev/null +++ b/content/en/landing_instruments/quigley-hein-turesky-modification-index-for-dental-plaque.md @@ -0,0 +1,23 @@ +--- +title: "Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque " + +url: /harmonisation-validation/quigley-hein-turesky-modification-index-for-dental-plaque +--- + +## Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque + +The Quigley-Hein, Turesky Modification Index for Dental Plaque is a standardized measurement tool used to assess the amount of dental plaque, a bacterial biofilm that can cause tooth decay and gum disease, on a person's teeth. The scale ranges from 0 to 5, with 0 representing no plaque and 5 representing extensive plaque coverage on the tooth surface. + +Harmony, a software developed for psychologists, can assist in the harmonisation of this index with other instruments. Using natural language processing and generative AI models, Harmony can compare the items in the Quigley-Hein, Turesky Modification Index to items in other instruments and give a percentage match for each item. This can help researchers identify which variables in the index correspond to variables in other instruments, allowing for the validation and crosswalking of the index. + +Overall, Harmony can aid in the process of validating and harmonising the Quigley-Hein, Turesky Modification Index for Dental Plaque, making it easier for researchers to compare and combine data from different studies. This can lead to a better understanding of the construct being measured and potential improvements in the measurement tool itself. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque " title=" Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/sf-36-health-survey.md b/content/en/landing_instruments/sf-36-health-survey.md new file mode 100644 index 0000000..5e8dda4 --- /dev/null +++ b/content/en/landing_instruments/sf-36-health-survey.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of SF-36 health survey" + +url: /harmonisation-validation/sf-36-health-survey +--- + +## Validation and Harmonisation of SF-36 health survey + +The SF-36 health survey is a widely used questionnaire to measure an individual's overall health and well-being. It consists of eight subscales, including physical functioning, role limitations due to physical health problems, bodily pain, general health perceptions, vitality (energy/fatigue), social functioning, role limitations due to emotional problems, and mental health. + +In order to validate the SF-36 health survey, researchers need to compare it with other established instruments that measure similar constructs. This process, known as cross-validation, helps to establish the reliability and validity of the SF-36 health survey. + +Harmony can assist researchers in this process by using its large language models to compare items from the SF-36 health survey with items from other instruments. This can help researchers identify which variables in the SF-36 match variables in other instruments, and establish crosswalks between them. + +By harmonising the SF-36 with other instruments, researchers can also make comparisons between studies and ensure consistency in their results. Additionally, Harmony's natural language processing capabilities can help researchers identify any discrepancies or issues within the questionnaire, improving the overall quality of the instrument. + +Overall, Harmony can greatly benefit researchers in the validation and harmonisation of the SF-36 health survey, providing a more efficient and accurate process for establishing its reliability and validity. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of SF-36 health survey " title=" Validation and Harmonisation of SF-36 health survey " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of SF-36 health survey " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/sheehan-disability-scale-sds.md b/content/en/landing_instruments/sheehan-disability-scale-sds.md new file mode 100644 index 0000000..70c22be --- /dev/null +++ b/content/en/landing_instruments/sheehan-disability-scale-sds.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Sheehan Disability Scale (SDS)" + +url: /harmonisation-validation/sheehan-disability-scale-sds +--- + +## Validation and Harmonisation of Sheehan Disability Scale (SDS) + +The Sheehan Disability Scale (SDS) is a commonly used instrument in clinical trials and research studies to measure functional impairment and disability in individuals. It consists of 5 items that assess disability in work, social life/leisure, and family life/home responsibilities, with higher scores indicating greater impairment. + +Harmony can help researchers with the validation and harmonisation of the SDS by comparing it with other relevant instruments in its database. This can assist researchers in understanding the degree to which the SDS is able to accurately measure change in the construct it is intended to measure. Harmony can also help establish crosswalks between the SDS and other instruments, allowing for comparisons and potential integration of data from different studies. + +Through the use of natural language processing and AI models, Harmony can compare the items in the SDS with items in other instruments, even if they are in different languages. This can save researchers a significant amount of time and effort in manually comparing and matching items from different questionnaires. + +In addition, researchers can also use Harmony to harmonise their own instruments by simply uploading them in PDF form into the web interface. Harmony's use of large language models can provide a percentage match between each item in the SDS and the other instrument, giving researchers a better understanding of the level of harmonisation between the two. + +Harmony's ability to validate and harmonise the Sheehan Disability Scale (SDS) with other instruments can greatly benefit researchers and contribute to the advancement of knowledge in the field of psychology. By ensuring the validity of the SDS and facilitating its integration with other instruments, Harmony can assist researchers in conducting more comprehensive and reliable studies. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Sheehan Disability Scale (SDS) " title=" Validation and Harmonisation of Sheehan Disability Scale (SDS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Sheehan Disability Scale (SDS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/sirs-scale-systemic-inflammatory-response-syndrome.md b/content/en/landing_instruments/sirs-scale-systemic-inflammatory-response-syndrome.md new file mode 100644 index 0000000..20645dc --- /dev/null +++ b/content/en/landing_instruments/sirs-scale-systemic-inflammatory-response-syndrome.md @@ -0,0 +1,21 @@ +--- +title: "Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome)" + +url: /harmonisation-validation/sirs-scale-systemic-inflammatory-response-syndrome +--- + +## Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome) + +The SIRS scale is a clinical tool used to assess the severity of systemic inflammatory response syndrome, which can occur in response to infections, injuries, and other conditions. It includes seven signs and symptoms, which are rated on a scale from 0 to 6 based on severity. + +Harmony can help researchers harmonise the SIRS scale with other instruments by using natural language processing algorithms and large language models to compare variables in the SIRS scale with variables in other instruments. This allows for the creation of crosswalks or mappings between the two instruments, allowing for their validation and harmonisation. By using Harmony, researchers can quickly and objectively compare the variables in the SIRS scale with those in other instruments, facilitating the process of validation and harmonisation. This can save time and effort for researchers, as well as improve the reliability and accuracy of their results. Overall, Harmony provides a valuable tool for psychologists and researchers to validate and harmonise the SIRS scale with other instruments, leading to better understanding and assessment of systemic inflammatory response syndrome in clinical settings. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome) " title=" Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/visual-analog-scale-vas.md b/content/en/landing_instruments/visual-analog-scale-vas.md new file mode 100644 index 0000000..68e429b --- /dev/null +++ b/content/en/landing_instruments/visual-analog-scale-vas.md @@ -0,0 +1,23 @@ +--- +title: "Validation and Harmonisation of Visual Analog Scale (VAS)" + +url: /harmonisation-validation/visual-analog-scale-vas +--- + +## Validation and Harmonisation of Visual Analog Scale (VAS) + +The Visual Analog Scale (VAS) is a subjective measurement instrument commonly used in research and clinical settings to assess a person's perception of a specific construct, such as pain, anxiety, or mood. It is a horizontal line with endpoints labeled as 0 (representing no experience of the construct) and 10 (representing the worst possible experience of the construct). The participant is asked to place a mark on the line to indicate their experience on a continuum between the two endpoints. + +Harmony can help researchers validate and harmonise the VAS with other instruments by using its natural language processing and generative AI models. Researchers can input the VAS into Harmony's web interface and compare it with other instruments in Harmony's database, such as the GAD-7 and PHQ-9. Harmony will provide a percentage match between each item in the VAS and the items in the other instruments, allowing researchers to identify the level of alignment between the two. + +This can help researchers determine the validity of the VAS as a measurement tool and also establish crosswalks with other instruments. By comparing the items in the VAS with those in other instruments, researchers can assess the degree to which the VAS is able to measure change in the same construct as the other instruments. This can also aid in identifying areas of overlap and differences between the instruments, providing valuable insights for future research and measurement considerations. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Visual Analog Scale (VAS) " title=" Validation and Harmonisation of Visual Analog Scale (VAS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Visual Analog Scale (VAS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/walking-impairment-questionaire-wiq.md b/content/en/landing_instruments/walking-impairment-questionaire-wiq.md new file mode 100644 index 0000000..38f7d7d --- /dev/null +++ b/content/en/landing_instruments/walking-impairment-questionaire-wiq.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Walking Impairment Questionaire (WIQ)" + +url: /harmonisation-validation/walking-impairment-questionaire-wiq +--- + +## Validation and Harmonisation of Walking Impairment Questionaire (WIQ) + +The Walking Impairment Questionnaire (WIQ) is a disease-specific instrument used to assess walking ability through a questionnaire. It is often used as an alternative to treadmill testing and is commonly used in studies involving patients with Peripheral Artery Disease (PAD) and/or intermittent claudication. + +Harmony can play a crucial role in the validation and harmonisation of the WIQ with other instruments. As mentioned before, validation is the process of determining the degree to which an instrument accurately measures what it is intended to measure. In the case of the WIQ, this means assessing whether it accurately measures walking ability in patients with PAD and/or intermittent claudication. + +Harmony can help with this by comparing the items in the WIQ with items in other instruments commonly used to measure walking ability, such as the 6-minute walk test or the Timed Up and Go test. By using its large language models, Harmony can identify the level of match between the WIQ items and the items in these other instruments. This can provide valuable information on the validity of the WIQ and its ability to accurately measure walking ability. + +Additionally, researchers may want to harmonise the WIQ with other instruments, meaning they want to establish crosswalks between items in the WIQ and items in other instruments. This can be important for comparing results across studies that use different instruments. Harmony's ability to compare items in multiple languages makes it a valuable tool for harmonisation, especially in studies involving participants from different countries. + +In summary, Harmony can aid researchers in the validation and harmonisation of the Walking Impairment Questionaire by comparing its items with those in other instruments and establishing crosswalks. This can improve the overall quality and reliability of research involving the WIQ and contribute to a better understanding of walking ability in patients with PAD and/or intermittent claudication. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Walking Impairment Questionaire (WIQ) " title=" Validation and Harmonisation of Walking Impairment Questionaire (WIQ) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Walking Impairment Questionaire (WIQ) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_instruments/young-mania-rating-scale-ymrs.md b/content/en/landing_instruments/young-mania-rating-scale-ymrs.md new file mode 100644 index 0000000..3bfb246 --- /dev/null +++ b/content/en/landing_instruments/young-mania-rating-scale-ymrs.md @@ -0,0 +1,27 @@ +--- +title: "Validation and Harmonisation of Young Mania Rating Scale (YMRS)" + +url: /harmonisation-validation/young-mania-rating-scale-ymrs +--- + +## Validation and Harmonisation of Young Mania Rating Scale (YMRS) + +The Young Mania Rating Scale (YMRS) is a tool used to assess manic symptoms in patients. It has 11 items and scores range from 0 to 60, with higher scores indicating more severe mania. The scale is based on the patient's subjective report of their clinical condition over the previous 48 hours. + +Harmony can assist researchers in both validating and harmonising the YMRS with other instruments. Validation is the measure of an instrument's ability to accurately measure the intended construct, while harmonisation is the process of comparing and matching items in different instruments. + +Using Harmony, researchers can compare the YMRS with other instruments, such as the GAD-7 and PHQ-9, to establish crosswalks between them. This allows researchers to determine which variables in the YMRS align with variables in other instruments, enhancing the validity of both. Furthermore, Harmony can also harmonise the YMRS with other instruments, even if they are in different languages, through its use of natural language processing and AI models. + +Harmony's web interface, at https://harmonydata.ac.uk/app, allows researchers to easily select the YMRS and other instruments from its database, or upload their own instruments in PDF form. This saves researchers time and effort from manually going through long PDFs and inputting data into Excel. Additionally, by using Harmony, researchers can compare and harmonise instruments in longitudinal studies, providing more robust and consistent results. + +In summary, Harmony is a valuable tool for psychologists and social scientists, as it can assist in both validating and harmonising the Young Mania Rating Scale with other instruments, aiding in the analysis and comparison of data in psychological research. + + +{{< image src="/images/gad7-becks.jpg" alt=" Validation and Harmonisation of Young Mania Rating Scale (YMRS) " title=" Validation and Harmonisation of Young Mania Rating Scale (YMRS) " >}} + +{{< card heading="Try Harmony" copy=" Validation and Harmonisation of Young Mania Rating Scale (YMRS) " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-cross-cohort-research.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-cross-cohort-research.md new file mode 100644 index 0000000..65a2cc0 --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-cross-cohort-research.md @@ -0,0 +1,29 @@ +--- +title: "Harmony: A Free AI Tool for Cross-Cohort Research" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research +--- + +## Harmony: A Free AI Tool for Cross-Cohort Research + +Harmony is a revolutionary software developed specifically for psychologists and social scientists. Its main purpose is to make the harmonization process easier and more efficient for researchers. + +What is harmonization, you might ask? It refers to the process of matching items from different questionnaires, such as determining if "I often feel anxious" in one questionnaire is equivalent to "Feeling nervous, anxious or afraid" in another questionnaire. This task is often time-consuming and subject to human error, making it a tedious and daunting task for researchers. + +Harmony utilizes cutting-edge natural language processing and generative AI models to help researchers harmonize questionnaire items, even if they are in different languages. This means that with Harmony, researchers can easily compare instruments from different studies and languages, allowing for greater cross-cohort research. + +The benefits of using Harmony are numerous. It saves time and reduces subjectivity, making the harmonization process more efficient and accurate. This is especially important for longitudinal studies, where researchers need to compare results over time. Harmony can also provide a percentage match between items, giving researchers a better understanding of the similarities and differences between instruments. + +Using Harmony is easy and convenient. Researchers can choose from instruments already in Harmony's database, or they can simply drag and drop their own instruments in PDF form into the web interface at https://harmonydata.ac.uk/app. This makes it accessible to all researchers, regardless of their level of technical expertise. + +In conclusion, Harmony is a valuable tool for psychologists and social scientists who want to make meaningful comparisons within and across studies. Its AI technology streamlines the harmonization process, making it a must-have tool for any researcher looking to conduct cross-cohort research. Best of all, it's completely free to use. To learn more about Harmony and to start using it for your research, visit https://harmonydata.ac.uk/app. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Cross-Cohort Research " title=" Harmony: A Free AI Tool for Cross-Cohort Research " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Cross-Cohort Research " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-data-pooling.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-data-pooling.md new file mode 100644 index 0000000..f86864e --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-data-pooling.md @@ -0,0 +1,31 @@ +--- +title: "Harmony: A Free AI Tool for Data Pooling" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-data-pooling +--- + +## Harmony: A Free AI Tool for Data Pooling + +Harmony is a software tool specifically designed for psychologists and social scientists. Its main purpose is to automate the process of questionnaire harmonization, which is the task of matching similar items from different questionnaires. + +Traditionally, harmonization has been a time-consuming and subjective task. It involves going through long PDFs of questionnaires and manually inputting the questions into Excel or other software. This process can be tedious and prone to human error. + +Harmony uses advanced natural language processing and generative AI models to help researchers harmonize questionnaire items, even if they are in different languages. This allows researchers to make full use of cohort and longitudinal studies by making comparisons both within and across studies. + +By repeating the same longitudinal analysis across a number of studies, researchers can test the consistency of results or identify potential variations in response to changing social conditions. + +With Harmony, researchers can easily compare instruments from its database, which includes commonly used questionnaires such as GAD-7 and PHQ-9. Additionally, users can also upload their own instruments in PDF form using Harmony's web interface located at https://harmonydata.ac.uk/app. + +One of Harmony's key features is its ability to compare items in multiple languages. This is especially useful for researchers working on international projects with participants from different linguistic backgrounds. + +Overall, Harmony is a valuable tool for data pooling and promoting data sharing among researchers. Its user-friendly interface and advanced AI capabilities make it a valuable asset for psychologists and social scientists seeking to simplify the harmonization process and make the most out of their data. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Data Pooling " title=" Harmony: A Free AI Tool for Data Pooling " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Data Pooling " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-harmonisation-of-instruments-in-psychology.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-harmonisation-of-instruments-in-psychology.md new file mode 100644 index 0000000..ab18ba9 --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-harmonisation-of-instruments-in-psychology.md @@ -0,0 +1,29 @@ +--- +title: "Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-harmonisation-of-instruments-in-psychology +--- + +## Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology + +Harmony is a powerful software developed specifically for psychologists and social scientists. Its main purpose is to help with the process of harmonisation, which involves matching items from different questionnaires. + +The tool utilizes natural language processing (NLP) and generative AI models to assist researchers in harmonising questionnaire items, even if they are in different languages. This saves time and reduces subjectivity in the harmonisation process. + +One of the major benefits of using Harmony is that it allows for easy comparison of instruments in longitudinal studies. By repeating the same analysis across multiple studies, researchers can determine if the results are consistent or if they vary due to changing social conditions. This is important in order to make full use of cohort and longitudinal studies. + +Harmony has a large database of instruments that users can select from, or they can upload their own instruments in PDF form. The AI models used by Harmony can compare items and provide a percentage match between instruments such as GAD-7 and PHQ-9. + +What sets Harmony apart from other harmonisation tools is its ability to compare items in multiple languages. This allows for harmonisation of instruments used in international studies, making it a valuable tool for researchers across the globe. + +To use Harmony, simply visit their website at https://harmonydata.ac.uk/app and either select instruments from their database or upload your own. With its advanced AI technology, Harmony makes harmonisation a more efficient and accurate process, helping researchers make better use of their data. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology " title=" Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md new file mode 100644 index 0000000..92f7756 --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-item-harmonisation.md @@ -0,0 +1,29 @@ +--- +title: "Harmony: A Free AI Tool for Item Harmonisation" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-item-harmonisation +--- + +## Harmony: A Free AI Tool for Item Harmonisation + +Harmony is an innovative software specifically designed for psychologists and social scientists to help with the time-consuming task of harmonizing questionnaire items. It utilizes natural language processing and generative AI models to compare items from different questionnaires, even in different languages. + +One of the key features of Harmony is its ability to match items from various questionnaires, such as "I often feel anxious" and "Feeling nervous, anxious or afraid." This process, known as harmonization, is crucial for making comparisons within and across studies. By using Harmony, researchers can save valuable time and effort in manually harmonizing items. + +In addition to the built-in database of instruments, Harmony also allows researchers to upload their own instruments in PDF form through its user-friendly web interface at https://harmonydata.ac.uk/app. This gives users the flexibility to use their preferred instruments and seamlessly integrate them into their study. + +Harmony's advanced language models can provide a percentage match between items from different instruments, such as GAD-7 and PHQ-9. This makes it easier for researchers to analyze and compare longitudinal data from multiple studies. This not only saves time but also improves the accuracy and consistency of results. + +Another advantage of using Harmony is its ability to compare items in multiple languages. This is particularly beneficial for cross-cultural research, where language differences can pose a challenge in harmonizing items from different instruments. + +In conclusion, Harmony is a valuable tool for psychologists and social scientists, helping them with the essential process of harmonizing questionnaire items. With its AI-powered technology and user-friendly interface, Harmony makes it easier and faster for researchers to compare instruments and analyze data from longitudinal studies. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Item Harmonisation " title=" Harmony: A Free AI Tool for Item Harmonisation " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Item Harmonisation " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-item-wise-harmonisation.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-item-wise-harmonisation.md new file mode 100644 index 0000000..5d316cb --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-item-wise-harmonisation.md @@ -0,0 +1,25 @@ +--- +title: "Harmony: A Free AI Tool for Item-Wise Harmonisation" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-item-wise-harmonisation +--- + +## Harmony: A Free AI Tool for Item-Wise Harmonisation + +Harmony is a software designed specifically for psychologists and social scientists to aid in the harmonisation of questionnaire items. This tool uses natural language processing and AI models to help researchers match items from different questionnaires, even if they are in different languages. This saves researchers a significant amount of time and effort, as the process of harmonisation can be time-consuming and subjective. + +By using Harmony, researchers can easily compare instruments in longitudinal studies. This allows for the testing of consistency in results within and across studies, and the ability to track changes in responses to changing social conditions. + +The tool's web interface, available at https://harmonydata.ac.uk/app, allows users to select instruments from a database or simply drag and drop their own instruments in PDF format. Harmony then uses large language models to compare items and provides a percentage match between each item. + +One of the unique features of Harmony is its ability to compare items in multiple languages, which is especially useful in international studies. Overall, Harmony is a valuable resource for psychologists and social scientists looking to efficiently and accurately harmonise questionnaire items for their research. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Item-Wise Harmonisation " title=" Harmony: A Free AI Tool for Item-Wise Harmonisation " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Item-Wise Harmonisation " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md new file mode 100644 index 0000000..989994d --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology.md @@ -0,0 +1,29 @@ +--- +title: "Harmony: A Free AI Tool for Longitudinal Study In Psychology" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology +--- + +## Harmony: A Free AI Tool for Longitudinal Study In Psychology + +Harmony is a software designed specifically for psychologists and social scientists, in order to help them efficiently and accurately harmonize questionnaire items in their studies. This tool utilizes natural language processing and generative AI models to compare instruments in different languages, making it helpful for cross-cultural and longitudinal studies. + +The process of harmonization is extremely time consuming and can be quite subjective. With Harmony, researchers can save a significant amount of time and reduce subjectivity, as the tool automates the process and provides a percentage match between items in different questionnaires. + +The interface of Harmony is user-friendly and intuitive. Researchers can either select instruments from the tool's database or upload their own PDFs into the web interface. This allows for flexibility and customization in the harmonization process. + +One of the key advantages of using Harmony is its ability to compare items in multiple languages. This is especially useful for international studies, where questionnaires may be translated into different languages. By using Harmony, researchers can ensure consistency and accuracy in their comparisons across different languages. + +By using Harmony, psychologists can easily compare instruments in longitudinal studies and analyze the consistency of results across different studies. This helps in understanding the impact of changing social conditions on psychological factors over time. + +Overall, Harmony is a valuable tool for psychologists and social scientists, providing an efficient and accurate solution for harmonizing questionnaire items in cross-cultural and longitudinal studies. And the best part? It's completely free to use. So why spend hours manually harmonizing questionnaires when Harmony can do it for you? Give it a try and see the difference it can make in your research. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Longitudinal Study In Psychology " title=" Harmony: A Free AI Tool for Longitudinal Study In Psychology " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Longitudinal Study In Psychology " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study.md b/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study.md new file mode 100644 index 0000000..ccaec78 --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-for-longitudinal-study.md @@ -0,0 +1,27 @@ +--- +title: "Harmony: A Free AI Tool for Longitudinal Study" + +url: /item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study +--- + +## Harmony: A Free AI Tool for Longitudinal Study + +Harmony is a powerful software designed specifically for psychologists and social scientists. Its main purpose is to assist researchers in harmonising questionnaire items in longitudinal studies, saving time and improving accuracy. + +One of the key features of Harmony is its natural language processing and generative AI models, which are used to compare items in different questionnaires. This can be especially helpful when working with studies in different languages, as Harmony can automatically match similar items and give a percentage match for each one. This ensures consistency and accuracy in comparison across studies. + +Using Harmony is also very user-friendly. Researchers can easily select instruments from Harmony's comprehensive database or upload their own instruments in PDF form. This eliminates the need for manually inputting data and makes the process more efficient. + +The benefits of using Harmony extend beyond just saving time and improving accuracy. By being able to compare instruments in longitudinal studies, researchers can test the consistency of results across different studies, or see how changes in social conditions may impact the results. + +Harmony is a free tool and can be accessed through its web interface at https://harmonydata.ac.uk/app. Its use of AI technology makes it a valuable resource for psychologists and social scientists looking to make meaningful comparisons in their longitudinal research. Give Harmony a try and see how it can enhance your study! + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool for Longitudinal Study " title=" Harmony: A Free AI Tool for Longitudinal Study " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool for Longitudinal Study " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md b/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md new file mode 100644 index 0000000..e0c8346 --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-to-combine-cohort-studies.md @@ -0,0 +1,30 @@ +--- +title: "Harmony: A Free AI Tool to Combine Cohort Studies" + +url: /item-harmonisation/harmony-a-free-ai-tool-to-combine-cohort-studies +--- + +## Harmony: A Free AI Tool to Combine Cohort Studies + + +Harmony is an innovative software that has been specifically designed for psychologists and social scientists to streamline the harmonization process. The tool uses natural language processing and generative AI models to compare questionnaire items, even in different languages. + +One of the main features of Harmony is its ability to match items in different questionnaires, ultimately making the process of harmonization faster and more accurate. This is crucial for psychologists as they often have to compare and analyze data from multiple studies, including longitudinal studies. With Harmony, researchers can easily make comparisons within and across studies, allowing for a deeper understanding of the data and potential changes in social conditions. + +Additionally, Harmony has a user-friendly web interface where researchers can select instruments from the database or upload their own instruments in PDF form. The tool's large language models can compare items from different instruments, such as GAD-7 and PHQ-9, and provide a percentage match for each item. + +One of the major benefits of using Harmony is that it saves significant time and effort for researchers. Going through lengthy PDFs and manually inputting data into Excel can be a tedious and subjective process. With Harmony, this process is automated, allowing for more efficient and reliable results. + +Moreover, Harmony is a free tool, making it accessible to all researchers. It can greatly improve the quality and accuracy of data analysis in cohort studies, ultimately advancing the field of psychology and social science research. + +In conclusion, Harmony is a valuable tool for psychologists and social scientists, providing them with an efficient and accurate way to harmonize data from multiple studies. By utilizing AI technology, Harmony offers a streamlined and user-friendly approach to data analysis, improving the overall quality of research in this field. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool to Combine Cohort Studies " title=" Harmony: A Free AI Tool to Combine Cohort Studies " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool to Combine Cohort Studies " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md b/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md new file mode 100644 index 0000000..126acfa --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-cohort-studies.md @@ -0,0 +1,27 @@ +--- +title: "Harmony: A Free AI Tool to Merge Cohort Studies" + +url: /item-harmonisation/harmony-a-free-ai-tool-to-merge-cohort-studies +--- + +## Harmony: A Free AI Tool to Merge Cohort Studies + +Harmony is a software that uses natural language processing and generative AI models to assist psychologists in harmonizing questionnaire items. Whether researchers are merging items from different questionnaires or comparing instruments in longitudinal studies, Harmony can efficiently analyze and match items in multiple languages. + +One of the main challenges for psychologists and social scientists is the time-consuming and subjective process of harmonization. Going through long PDFs of questionnaires and manually transferring items into Excel can be tedious and prone to errors. Harmony offers a solution by automating this process and providing accurate and consistent results. + +By using large language models, Harmony can give a percentage match between each item in instruments such as GAD-7 and PHQ-9. This feature is particularly useful for researchers who want to make comparisons both within and across studies. By repeating the same longitudinal analysis across a number of studies, researchers can test whether their results are consistent or if they differ in response to changing social conditions. + +What sets Harmony apart is its flexibility in instrument selection. Users can choose from Harmony's database of instruments or easily upload their own instruments in PDF form into the web interface at https://harmonydata.ac.uk/app. This allows researchers to work with the specific instruments they need and seamlessly integrate Harmony into their workflow. + +Overall, Harmony is a powerful tool for psychologists looking to streamline their research process and make reliable comparisons across studies. By leveraging AI technology, Harmony offers a user-friendly and efficient solution for harmonizing questionnaire items and promoting data harmonization in the field of psychology. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool to Merge Cohort Studies " title=" Harmony: A Free AI Tool to Merge Cohort Studies " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool to Merge Cohort Studies " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + + diff --git a/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-longitudinal-studies.md b/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-longitudinal-studies.md new file mode 100644 index 0000000..8ed4b32 --- /dev/null +++ b/content/en/landing_topics/harmony-a-free-ai-tool-to-merge-longitudinal-studies.md @@ -0,0 +1,27 @@ +--- +title: "Harmony: A Free AI Tool to Merge Longitudinal Studies" + +url: /item-harmonisation/harmony-a-free-ai-tool-to-merge-longitudinal-studies +--- + +## Harmony: A Free AI Tool to Merge Longitudinal Studies + +Harmony is a powerful software tool designed for psychologists and social scientists to help them harmonize questionnaire items in different languages. This AI-driven platform uses natural language processing and generative AI models to make the process of harmonization easier, faster and more accurate. + +Often, longitudinal studies require the comparison of instrument items, such as in the case of GAD-7 and PHQ-9. However, this process can be time-consuming and tedious, especially when working with large PDF files. With Harmony, researchers can quickly compare and match items from different questionnaires, even in different languages. + +One of the main benefits of using Harmony is its ability to make comparisons both within and across studies, which can provide valuable insights for researchers. By utilizing large language models, Harmony can give a percentage match between each item in a questionnaire, helping researchers identify any discrepancies or consistencies between studies. + +Users can access Harmony through its web interface at https://harmonydata.ac.uk/app. They can either select instruments from the database provided by Harmony, or upload their own instrument in PDF form. Harmony's AI capabilities allow for a seamless comparison process, making it easier for researchers to conduct longitudinal analyses. + +In addition to saving time and effort, Harmony also eliminates subjectivity in the harmonization process. Its use of AI models ensures that the comparisons are objective and accurate, providing researchers with reliable data for their studies. As a free tool, Harmony aims to help researchers make the most out of cohort and longitudinal studies by providing a comprehensive and efficient harmonization solution. + + +{{< image src="/images/gad7-becks.jpg" alt=" Harmony: A Free AI Tool to Merge Longitudinal Studies " title=" Harmony: A Free AI Tool to Merge Longitudinal Studies " >}} + +{{< card heading="Try Harmony" copy=" Harmony: A Free AI Tool to Merge Longitudinal Studies " url="https://harmonydata.ac.uk/app" >}} + +{{< youtube cEZppTBj1NI >}} + + +