Examining the health-related quality of life using EQ-5D-5L in patients with four kinds of chronic diseases from specialist outpatient clinics in Hong Kong SAR, China.
Examining the health-related quality of life using EQ-5D-5L in patients with four kinds of chronic diseases from specialist outpatient clinics in Hong Kong SAR, China.
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DOI：
10.2147/ppa.s143944
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发表时间：
2017
影响因子：
2.2
通讯作者：
Wong EL
中科院分区：
文献类型：
--
作者：
Xu RH;Cheung AWL;Wong EL
健康相关的生活质量（HRQoL）的措施已越来越多地用于健康效用的评价。本研究的目的是使用5级EQ-5D（EQ-5D-5L）值集评估4种不同类型的慢性疾病对香港专科门诊患者HRQoL的影响。在医院管理局辖下26间专科门诊诊所之一就诊并符合纳入标准的病人可能会被抽样调查。EQ-5D-5L（香港版）要求受访者描述和评价其健康状况，其值被用作因变量。四种长期的健康状况和其他人口，社会经济和卫生服务的使用特征作为自变量进行了分析。所得资料以卡方检定、稳健单因子变异数分析及两部分模式进行分析。共有7，496名（53.7%）患者报告至少有一种慢性疾病。高血压的平均得分（均值=0.882，标准误[SE] =0.207）高于其他疾病，其次是癌症、糖尿病和心脏病。男性、年轻、文化程度高、慢性病患者的EQ-5D得分较高。在两部分模型中，所有四个长期存在的健康状况在logistic模型中的统计学意义，但在普通最小二乘模型中的系数的大小发生了显着变化。慢性疾病对患者的HRQoL有显著的负面影响，但根据患者患有何种慢性疾病，可能会有不同的影响。还需要进一步的研究来计划适当的策略，以改善以病人为中心的护理。
Health-related quality of life (HRQoL) measures have been increasingly employed in the evaluation of health utility. The aim of this study was to evaluate the impact of four different kinds of chronic diseases on the HRQoL of patients from specialist outpatient clinics in Hong Kong (HK) using the 5-level EQ-5D (EQ-5D-5L) value set. Patients who attended one of the 26 Hospital Authority’s specialist outpatient clinics and met inclusion criteria were potentially sampled. The value of EQ-5D-5L (HK version) that asks the respondent to describe and rate his or her health status was used as the dependent variable. Four kinds of long-term health conditions and other demographic, socioeconomic, and health service use characteristics have been analyzed as independent variables. Chi-square test, robust one-way ANOVA, and the two-part model have been used to analyze the data. A total of 7,496 (53.7%) patients reported to have at least one kind of chronic diseases. The mean score for hypertension (mean =0.882, standard error [SE] =0.207) is higher than the others, which followed by cancer, diabetes, and heart disease. Patients who were male, young, higher education attainment, and with chronic conditions got a higher EQ-5D score. In the two-part model, all the four long-standing health conditions were statistically significant in logistic model, but the magnitude of coefficients changed significantly in ordinary least squares model. Chronic diseases have a significant negative impact on patients’ HRQoL, but there might be a varying effect depending on what kind of chronic diseases patients had. Further research is also needed to plan appropriate strategies to improve patient-centered care.