RESUMO
OBJECTIVES: This review aims to examine the ceiling effects of EQ-5D-3L (3L) and EQ-5D-5L (5L) in general adult populations and identify the factors influencing these effects. METHODS: We searched 8 databases for observational studies published in English from inception to 24 July 2023. Ceiling effects were calculated by dividing the number of participants reporting full health at dimension or profile level by the total sample size. Subgroup analysis and meta-regression using the metafor package in R software were performed. RESULTS: We identified 94 studies from 70 articles, including 4 543 647 adults across 37 countries. The global pooled proportion of individuals reporting full health ("11111") was 56% (95% CI 51%-62%) for 3L and 49% (95% CI 44%-54%) for 5L. The self-care dimension showed the highest ceiling effects (3L: 97%; 5L: 94%), whereas pain/discomfort had the lowest (3L: 69%; 5L: 60%). The ceiling effects in East/South-East Asia were higher than in Europe by 25% (95% CI 18%-32%) in 3L and 9% (95% CI -2%-20%) in 5L. Adjusting for mean age and proportion of males, significant regional differences persisted in the overall profile level of 3L, in all 3L dimensions (except for self-care), and 5L dimensions (except for pain/discomfort and anxiety/depression). CONCLUSIONS: This review highlights significant ceiling effects in the EQ-5D, especially in Asian populations. The 5L version exhibited fewer ceiling effects than the 3L, indicating its superiority for general population surveys. Further research is crucial to understand the disparities in self-reported health outcomes between Asians and other populations.
RESUMO
OBJECTIVES: The accurate assessment of Health-Related Quality of Life (HRQoL) in residents of residential care facilities (RCF) necessitates the use of proxy-reported instruments that possess robust psychometric properties. Generally, these instruments are modified versions of self-reported tools, with adjustments made to pronouns and instructions to better suit the respondent. Among such tools, the EQ-5D has emerged as a prominent instrument for evaluating HRQoL within RCF settings. This review aimed to synthesize evidence on psychometric properties of the proxy version of EQ-5D. DESIGN: Systematic review and meta-analysis. SETTING AND PARTICIPANTS: Residents in RCF. METHODS: An extensive search was conducted across 8 databases, covering articles from inception to May 29, 2023. We included a total of 20 articles reporting data that can be used to evaluate psychometric properties of this instrument in RCF. The quality appraisal employed the COSMIN Risk of Bias checklist, and data synthesis followed COSMIN methodology. RESULTS: Most of the included studies were conducted in Europe, with 75% using nursing staff as proxies. Missing data rates were 5% for EQ-5D and 26% for EQ VAS. Evidence of moderate certainty on construct validity of the EQ-5D index was inconsistent, although the EQ VAS showed sufficient construct validity supported by high certainty. EQ-5D index responsiveness evidence was limited, characterized by low certainty and inconsistency. Proxy-resident agreement ranged from poor to moderate, and improved with repeated administration for the "mobility" and "usual activities" dimensions. The lowest agreement was observed when staff served as proxies or the proxy-proxy perspective was adopted. CONCLUSIONS AND IMPLICATIONS: This review offers an overview of the psychometric properties of EQ-5D as a proxy HRQoL measure in RCF. The suboptimal evidence on psychometric properties of EQ-5D indicated the need for more validation studies and cautious use of the instrument in RCF.
RESUMO
INTRODUCTION: Preference-weighted measures (PWMs)-also referred to as preference-based measures in the literature-of health status/health-related quality of life plays an essential role in estimating quality-adjusted life-years (QALY) for use in economic evaluations of healthcare products and interventions. However, as PWMs are first and foremost intended to accurately reflect respondent health status, they should ideally demonstrate good psychometric properties for the population in question. This study aimed to systematically review published evidence on the measurement properties of commonly used PWMs for children and adolescents. METHODS: Three electronic databases (PubMed, Medline, and PsycINFO) were searched for articles assessing the psychometric properties (content validity, construct validity-including convergent validity and known-group validity, test-retest reliability, and responsiveness) of the PWMs of interest (AQoL-6D, CHU9D, HUI2, HUI3, and EQ-5D-Y). The COsensus-based Standards for the selection of health Measurement INstruments methodology (COSMIN) guidelines were used to assess (a) the methodological quality of the studies included and (b) the psychometric performance of the instruments covered. Data were analysed overall as well as by population (country and disease group) and perspective (self-report or proxy-report). The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42021277296). RESULTS: In total, 53 articles were included in this systematic review. Health Utilities Index (HUI) was tested only in patient populations, CHU9D was most frequently tested in general population samples, while EQ-5D-Y was tested in both populations. Overall, there was high-quality evidence supporting sufficient construct validity for all instruments except AQoL-6D. Evidence supporting test-retest and responsiveness was scarce. There was high-quality evidence supporting sufficient responsiveness of HUI2 and HUI3, and inconsistent test-retest reliability of CHU9D and EQ-5D-Y. Evidence for content validity was minimal and therefore not extracted and synthesized for any PWMs. CONCLUSION: This review provides updated evidence on the measurement properties of existing generic PWMs for children and adolescents. High-quality evidence for all relevant psychometric properties and across a range of populations was not available for any of the instruments included, indicating that further work is needed in this direction. This study has identified some of the most noticeable evidence gaps for each of the individual measures. Users can use this information to guide their decision on the choice of PWM to administer.
