Abstract：
OBJECTIVE: There is a lack of monitoring changes in the population scores of the most recent version, EQ-5D-5L, in mainland China. This study aimed to address this knowledge gap by assessing the EQ-5D-5L scores in mainland China using a nationally representative sample.
METHODS: Data were extracted from the 2021 Survey of Health Index of Chinese Families, which covered 31 provinces/autonomous regions/municipalities in mainland China. The survey used a multistage quota sampling strategy encompassing 120 prefecture-level cities. Quotas were allocated to each prefecture-level city in accordance with the 2020 China Population Census. This approach resulted in a final sample of 11 030 eligible questionnaires. The utility index (UI) and EuroQol Visual Analog Scale (EQ VAS) scores were reported for the entire sample (age-gender-urban/rural weighted) and by the characteristics of the study participants.
RESULTS: The study participants had a weighted mean UI of 0.939 (SD 0.135) and EQ VAS score of 80.19 (SD 18.39). The most commonly reported problem was anxiety/depression (26.37%), whereas self-care was the least reported problem (6.18%). Those who were male, were younger, lived without chronic conditions and disabilities, had higher levels of education, earned higher monthly household income, and were covered by basic medical insurance for urban employees had higher scores in both the UI and EQ VAS.
CONCLUSIONS: This study revealed slightly lower UI scores despite a much higher drop in EQ VAS scores whereas China maintained minimum cases of COVID-19 in 2021 compared with the population norms recorded in 2019. Further studies are warranted to unveil the full impacts of COVID-19 outbreaks.
METHODS: Data were extracted from the 2021 Survey of Health Index of Chinese Families, which covered 31 provinces/autonomous regions/municipalities in mainland China. The survey used a multistage quota sampling strategy encompassing 120 prefecture-level cities. Quotas were allocated to each prefecture-level city in accordance with the 2020 China Population Census. This approach resulted in a final sample of 11 030 eligible questionnaires. The utility index (UI) and EuroQol Visual Analog Scale (EQ VAS) scores were reported for the entire sample (age-gender-urban/rural weighted) and by the characteristics of the study participants.
RESULTS: The study participants had a weighted mean UI of 0.939 (SD 0.135) and EQ VAS score of 80.19 (SD 18.39). The most commonly reported problem was anxiety/depression (26.37%), whereas self-care was the least reported problem (6.18%). Those who were male, were younger, lived without chronic conditions and disabilities, had higher levels of education, earned higher monthly household income, and were covered by basic medical insurance for urban employees had higher scores in both the UI and EQ VAS.
CONCLUSIONS: This study revealed slightly lower UI scores despite a much higher drop in EQ VAS scores whereas China maintained minimum cases of COVID-19 in 2021 compared with the population norms recorded in 2019. Further studies are warranted to unveil the full impacts of COVID-19 outbreaks.
摘要：
目标：最新版本的人口分数缺乏监测变化，EQ-5D-5L,在中国大陆。本研究旨在通过使用具有全国代表性的样本评估中国大陆的EQ-5D-5L分数来解决这一知识差距。
方法：数据来自2021年中国家庭健康指数调查，覆盖中国大陆31个省/自治区/直辖市。调查采用了涵盖120个地级市的多阶段配额抽样策略。根据2020年中国人口普查，配额分配给每个地级市。这种方法最终产生了11,030份合格问卷。报告了整个样本（年龄-性别-城市/农村加权）以及研究参与者的特征的效用指数和EQ视觉模拟量表（VAS）得分。
结果：研究参与者的加权平均效用指数为0.939（SD=0.135），EQVAS评分为80.19（SD=18.39）。最常报告的问题是焦虑/抑郁（26.37％），而自我护理是报告最少的问题(6.18%)。那些男性，年轻,没有慢性疾病和残疾，有更高的教育水平，每月家庭收入较高，在公用事业指数和EQVAS中，城镇职工基本医疗保险的得分均较高。
结论：这项研究显示，尽管EQVAS评分下降得多，但效用指数评分略低，而与2019年记录的人口标准相比，中国在2021年保持COVID-19病例最少。有必要进行进一步的研究，以揭示COVID-19疫情的全部影响。
方法：数据来自2021年中国家庭健康指数调查，覆盖中国大陆31个省/自治区/直辖市。调查采用了涵盖120个地级市的多阶段配额抽样策略。根据2020年中国人口普查，配额分配给每个地级市。这种方法最终产生了11,030份合格问卷。报告了整个样本（年龄-性别-城市/农村加权）以及研究参与者的特征的效用指数和EQ视觉模拟量表（VAS）得分。
结果：研究参与者的加权平均效用指数为0.939（SD=0.135），EQVAS评分为80.19（SD=18.39）。最常报告的问题是焦虑/抑郁（26.37％），而自我护理是报告最少的问题(6.18%)。那些男性，年轻,没有慢性疾病和残疾，有更高的教育水平，每月家庭收入较高，在公用事业指数和EQVAS中，城镇职工基本医疗保险的得分均较高。
结论：这项研究显示，尽管EQVAS评分下降得多，但效用指数评分略低，而与2019年记录的人口标准相比，中国在2021年保持COVID-19病例最少。有必要进行进一步的研究，以揭示COVID-19疫情的全部影响。
