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find Keyword "EQ-5D" 3 results
  • Health-Related Quality of Life for Disease Population in China based on EQ-5D: A Systematic Review

    ObjectiveTo systematically review the health-related quality of life (QOL) based on EQ-5D instrument for disease population in China. MethodsWe searched databases including PubMed, The Cochrane Library (Issue 5, 2015), EMbase, CNKI, VIP and WanFang Data from inception to August 2015, to identify studies involving healthrelated QOL about different diseases in China. A descriptive analysis was used to analyze health utility by disease and the proportion of patients who having problem in five dimensions, as well as comparing health-related QOL in different diseases. ResultsA total of 26 studies were included, involving 15 kinds of diseases. The health utility in different studies about the same disease was different. Diabetes ranged from 0.79 to 0.94, liver disease infected by HBV was from 0 to 0.80, hypertension was from 0.78 to 0.93, coronary heart disease was from 0.75 to 0.90, and chronic obstructive pulmonary disease was from 0.64 to 0.73. After ranking the health utility of fifteen kinds of diseases, the utility of kashin-beck disease and rheumatoid arthritis were 0.45 and 0.56, respectively, and the utility of children cerebral palsy was 0.44, which was the lowest. "Pain/discomfort" was the dimension with highest proportion of patients who having problem for most diseases while atrial fibrillation and children cerebral palsy were the "Self-care" and "Usual Activities". ConclusionEQ-5D is widely used in health-related QOL studies among different diseases in China. Many factors including sample source, severity of disease, complication and value set have influence on the measurement results of health utility.

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  • Approaches to derive disability weights based on EQ-5D measurement: a systematic review

    ObjectivesTo systematically review approaches to derive disability weights (DWs) based on EQ-5D instrument.MethodsPubMed, EMbase, Web of Science, CNKI and WanFang Data databases were electronically searched to collect studies on the approaches to derive disability weights based on EQ-5D from inception to June 1st, 2019. Two reviewers independently screened literature, extracted the basic information and evaluated risk of bias of included studies. Then, systematic review on approaches to derive DWs based on EQ-5D instrument was performed.ResultsA total of 18 studies were included, which were published between 2003 and 2018. The included studies involved a variety of diseases, mostly focusing on quality of life and the burden of disease. The approaches to derive DWs based on EQ-5D health instrument were as follows: DWs=health utility scoreNormal or Control−health utility scoreDisease (7 studies), DWs=1−VAS score/100 (6 studies), DWs=1−health utility scoreDisease (3 studies), linear regression model (1 study), and mapping (1 study).ConclusionsAmong all the included studies using EQ-5D-based disability weight measurement methods involves a variety of diseases, with relatively low comparability. More methodological studies are from abroad. Among all the applied approaches, DWs equally to health utility scoreNormal or Control minus health utility scoreDisease is the most commonly used.

    Release date:2020-08-19 01:33 Export PDF Favorites Scan
  • Analysis of one-year quality of life and influencing factors in patients with acute mild to moderate ischemic stroke

    Objective To understand the quality of life of patients with acute mild to moderate ischemic stroke one year after stroke, analyze the factors affecting their quality of life, and provide a scientific basis for improving their health-related quality of life. Methods This study included patients who were diagnosed with acute mild to moderate ischemic stroke between March 2019 and March 2021 in four hospitals in Nanchang. Sociodemographic information and relevant clinical data were collected during hospitalization. The EQ-5D-5L questionnaire was administered to assess health-related quality of life one year after discharge. The Mann-Whitney U test (for two groups) and Kruskal-Wallis one-way ANOVA (for multiple groups) were used to analyze differences in utility scores among various factors. A Tobit regression model was built to investigate the factors influencing quality of life one-year post-stroke. Results A total of 1 181 patients participated in the study, including 791 males (66.98%) and 390 females (33.02%), with an average age of 63.7±10.9 years. Health-related quality of life data collected one year after the stroke revealed that 22.69% of patients experienced pain/discomfort, 17.27% suffered anxiety/depression, 15.66% had mobility issues, 10.33% had difficulties with daily activities, and 8.64% had trouble with self-care. Tobit regression results showed that age (β=−0.263, 95%CI −0.327 to −0.198), gender (β=−0.134, 95%CI −0.189 to −0.080), previous hypertension (β=−0.068, 95%CI −0.120 to −0.016), previous dyslipidemia (β=−0.068, 95%CI −0.126 to −0.011), admission NIHSS score (β=−0.158, 95%CI −0.198 to −0.118), and discharge mRS score (β=−0.193, 95%CI −0.250 to −0.136) were negatively associated with health utility values. Current employment status (β=0.141, 95%CI 0.102 to 0.181) and admission GCS score (β=0.209, 95%CI 0.142 to 0.276) were positively correlated with health utility values. Conclusion One year after an acute mild to moderate ischemic stroke, patients commonly face pain/discomfort and anxiety/depression. Factors affecting overall quality of life include age, sex, current employment status, previous hypertension, previous dyslipidemia, admission NIHSS score, admission GCS score, and discharge mRS score. Clinically, developing scientifically sound and reasonable rehabilitation plans post-discharge is crucial for improving long-term quality of life.

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