Anju Devianee Keetharuth, Clara Mukuria, Tessa Peasgood, Allan Wailoo
{"title":"情商健康与幸福（EQ- hwb）：一项针对英国六种情况和普通人群的心理测量评估。","authors":"Anju Devianee Keetharuth, Clara Mukuria, Tessa Peasgood, Allan Wailoo","doi":"10.1016/j.jval.2025.07.028","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The EQ Health and Wellbeing (EQ-HWB) tools have been developed to measure and value outcomes of both health and social care interventions, including those of carers, in a manner suitable for use in economic evaluation. The aim of this article is to add to the body of psychometric evidence for the performance of EQ-HWB, and its shorter version EQ-HWB-9, by assessing construct validity and reliability.</p><p><strong>Methods: </strong>A sample of patients (n = 767) across 6 broadly defined health conditions and a sample of the general population (n = 302) completed the EQ-HWB measures alongside other measures. Convergent validity was assessed using Spearman and Pearson correlations. Known-group validity was investigated by using several self-reported variables and disease specific questions for the patient sample. Test-retest reliability was assessed by intraclass correlation coefficients and the kappa statistic.</p><p><strong>Results: </strong>Convergent validity between EQ-HWB items and related items from EQ-5D-5L, SWEMWBS, and ICECAP-A was highest in the patient sample. At the scale level, the highest correlations of EQ-HWB summative score and other measures were observed with both PHQ-8 and GAD-7 followed by EQ-5D-5L and ICECAP-A. The EQ-HWB measures showed ability to detect differences in the defined known groups. Comparing across measures, the EQ-HWB measures had the highest standardized effect sizes for groups defined by emotional problems. The EQ-HWB measures were found to be reliable with test-retest reliability being >0.8 for both groups.</p><p><strong>Conclusions: </strong>The results show that the EQ-HWB measures have promising psychometric properties across both the patient and general populations.</p>","PeriodicalId":23508,"journal":{"name":"Value in Health","volume":" ","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EQ Health and Wellbeing (EQ-HWB): A Psychometric Assessment Across 6 Conditions and the General Population in the United Kingdom.\",\"authors\":\"Anju Devianee Keetharuth, Clara Mukuria, Tessa Peasgood, Allan Wailoo\",\"doi\":\"10.1016/j.jval.2025.07.028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The EQ Health and Wellbeing (EQ-HWB) tools have been developed to measure and value outcomes of both health and social care interventions, including those of carers, in a manner suitable for use in economic evaluation. The aim of this article is to add to the body of psychometric evidence for the performance of EQ-HWB, and its shorter version EQ-HWB-9, by assessing construct validity and reliability.</p><p><strong>Methods: </strong>A sample of patients (n = 767) across 6 broadly defined health conditions and a sample of the general population (n = 302) completed the EQ-HWB measures alongside other measures. Convergent validity was assessed using Spearman and Pearson correlations. Known-group validity was investigated by using several self-reported variables and disease specific questions for the patient sample. Test-retest reliability was assessed by intraclass correlation coefficients and the kappa statistic.</p><p><strong>Results: </strong>Convergent validity between EQ-HWB items and related items from EQ-5D-5L, SWEMWBS, and ICECAP-A was highest in the patient sample. 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EQ Health and Wellbeing (EQ-HWB): A Psychometric Assessment Across 6 Conditions and the General Population in the United Kingdom.
Objectives: The EQ Health and Wellbeing (EQ-HWB) tools have been developed to measure and value outcomes of both health and social care interventions, including those of carers, in a manner suitable for use in economic evaluation. The aim of this article is to add to the body of psychometric evidence for the performance of EQ-HWB, and its shorter version EQ-HWB-9, by assessing construct validity and reliability.
Methods: A sample of patients (n = 767) across 6 broadly defined health conditions and a sample of the general population (n = 302) completed the EQ-HWB measures alongside other measures. Convergent validity was assessed using Spearman and Pearson correlations. Known-group validity was investigated by using several self-reported variables and disease specific questions for the patient sample. Test-retest reliability was assessed by intraclass correlation coefficients and the kappa statistic.
Results: Convergent validity between EQ-HWB items and related items from EQ-5D-5L, SWEMWBS, and ICECAP-A was highest in the patient sample. At the scale level, the highest correlations of EQ-HWB summative score and other measures were observed with both PHQ-8 and GAD-7 followed by EQ-5D-5L and ICECAP-A. The EQ-HWB measures showed ability to detect differences in the defined known groups. Comparing across measures, the EQ-HWB measures had the highest standardized effect sizes for groups defined by emotional problems. The EQ-HWB measures were found to be reliable with test-retest reliability being >0.8 for both groups.
Conclusions: The results show that the EQ-HWB measures have promising psychometric properties across both the patient and general populations.
期刊介绍：
Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.
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