Justin Guang Jie Lee, Qin Xiang Ng, Nan Luo, Gerald Choon Huat Koh, Ling Jie Cheng
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引用次数: 0
Abstract
Background: Health activation is an individual's knowledge, skills, and confidence in managing personal health and healthcare. The Consumer Health Activation Index (CHAI) is a freely available, 10-item measure originally developed in the United States. This study aimed to validate CHAI among community-dwelling adults in Singapore, examining its content validity, construct validity and test-retest reliability.
Methods: The study was conducted in two phases. In Phase 1, cognitive interviews with nine population health experts and eleven lay participants assessed face and content validity. In Phase 2, a cross-sectional survey of 572 adults, recruited via quota sampling aligned with national census distributions, was conducted. Participants completed the CHAI, EQ-5D-5L, EQ-VAS, and the Internal subscale of the Multidimensional Health Locus of Control (MHLC). Exploratory factor analysis (EFA) with principal axis factoring and varimax rotation, along with Cronbach's alpha, assessed structural validity and internal consistency respectively. Test-retest reliability was evaluated in a subsample of 32 participants, of whom 21 reported stable health status at follow-up.
Results: Content validity was acceptable, with a Scale-Level Content Validity Index (S-CVI) of 0.86, although minor wording issues were noted for CHAI items 5, 6, and 10. EFA supported a unidimensional structure, and the CHAI demonstrated strong internal consistency (α = 0.85). CHAI scores showed moderate positive correlations with the MHLC internal subscale (Pearson's r = 0.449) and weak to moderate positive correlations with EQ-5D-5 L and EQ-VAS, (r = 0.171-0.344). Known-group validity was supported by significantly higher CHAI scores among individuals with chronic diseases (p = 0.017). Test-retest reliability was good (ICC = 0.802, 95% CI = 0.544-0.911).
Conclusion: In summary, the CHAI is a reliable and valid measure of health activation for community-dwelling adults in Singapore. While overall psychometric performance was robust, minor refinements in phrasing may improve language clarity and cultural applicability. Longitudinal research is recommended to further establish CHAI's utility in both clinical and community local settings.
期刊介绍:
Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.