Division of Social and Administrative Pharmacy, Faculty of Pharmaceutical Sciences, Burapha University, 169 Long-Hard Bangsaen Rd.,, Chonburi, Mueang, 20131, Thailand.
Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand.
BMC Public Health. 2024 Apr 22;24(1):1108. doi: 10.1186/s12889-024-18391-3.
The previous Thai norm-based scores for the EQ-5D-5L were established with Thai general population samples aged 20-70 years in 2019. Nevertheless, these values need to be updated after the COVID-19 pandemic because of its effects on both physical and mental health. This study therefore aimed to establish population norms of the Thai EQ-5D-3L, EQ-5D-5L and EQ-VAS scores as well as to estimate disutility values associated with self-reported main diseases.
Individual face-to-face interviews were conducted with 2000 adult (age ≥ 18 years) members of the general Thai population to estimate norm-based scores. Each participant completed the EQ-5D-3L and EQ-5D-5L as well as questions related to their sociodemographic factors and self-reported main diseases. Responses to the two instruments were converted to health utility (HU) scores on the basis of available value sets. Descriptive statistics were used to report the norm-based scores stratified by age and sex categories. Response redistribution determining the response consistency between EQ-5D versions was investigated. The HU score agreement from those two instruments was investigated using intraclass correlation coefficient (ICC). Tobit regression models were employed to investigate the relationships between sociodemographic factors and HU and EQ-VAS scores. Moreover, it was used to estimate the disutility values associated with self-reported main diseases.
The means (percentage of ceiling effects) of EQ-5D-3L, EQ-5D-5L, and EQ-VAS scores were 0.845 (57.80%), 0.923 (49.05%), and 79.83 (3.20%), respectively. The average percentage of inconsistent response was 1.09%. A good agreement level was found between both EQ-5D versions with the ICCs of 0.789 (95% CI: 0.558-0.878). Female, older, and unemployed participants and those with BMI ≥ 30 reported lower EQ-5D-3L and EQ-5D-5L than their counterparts. Bone/Joint disorder and stroke contributed to the largest disutility value for those two instruments.
The Thai norm-based scores from those two instruments were diminished when advancing age and among female, unemployed, and obese (BMI ≥ 30) participants. It is expected to provide information to policy makers to better allocate health care resources to those with diminished norm-based scores.
之前基于泰国普通人群样本(年龄在 20-70 岁之间)建立的 EQ-5D-5L 泰国标准分数,在 COVID-19 大流行之后需要进行更新,因为它对身心健康都有影响。因此,本研究旨在建立泰国 EQ-5D-3L、EQ-5D-5L 和 EQ-VAS 评分的人群正常值,并估计与自我报告的主要疾病相关的失能值。
采用个体面对面访谈的方式,对 2000 名成年(年龄≥18 岁)泰国普通人群进行调查,以估计基于标准的评分。每位参与者都完成了 EQ-5D-3L 和 EQ-5D-5L,以及与他们的社会人口因素和自我报告的主要疾病相关的问题。根据现有的价值体系,将两种工具的回答转换为健康效用(HU)评分。按年龄和性别分类,对基于标准的评分进行描述性统计,以报告正常值。调查了 EQ-5D 两种版本之间的响应重新分配,以确定响应一致性。使用组内相关系数(ICC)调查两种仪器的 HU 评分一致性。Tobit 回归模型用于研究社会人口因素与 HU 和 EQ-VAS 评分之间的关系。此外,还利用它来估计与自我报告的主要疾病相关的失能值。
EQ-5D-3L、EQ-5D-5L 和 EQ-VAS 评分的平均值(天花板效应的百分比)分别为 0.845(57.80%)、0.923(49.05%)和 79.83(3.20%)。不一致反应的平均百分比为 1.09%。两种 EQ-5D 版本之间具有良好的一致性水平,ICC 为 0.789(95%CI:0.558-0.878)。女性、年龄较大、失业以及 BMI≥30 的参与者以及 BMI≥30 的参与者报告的 EQ-5D-3L 和 EQ-5D-5L 评分均低于同龄人。骨骼/关节疾病和中风对这两种仪器的失能值贡献最大。
随着年龄的增长,女性、失业和肥胖(BMI≥30)参与者的 EQ-5D-3L 和 EQ-5D-5L 评分均降低。预计这些信息将为决策者提供参考,以便更好地为那些评分降低的人群分配医疗保健资源。