The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Department of Sociology, School of Social Sciences, Tsinghua University, Beijing, China.
Support Care Cancer. 2021 May;29(5):2549-2560. doi: 10.1007/s00520-020-05774-6. Epub 2020 Sep 19.
PURPOSE: This study aimed to estimate the health preference-based index scores of the population of patients with lymphoma using the EQ-5D in China. METHODS: A cross-sectional online survey was conducted to examine the health and well-being of patients with lymphoma in China. Their health-related quality of life (HRQoL; using the EQ-5D), demographic and socioeconomic characteristics, and health conditions were assessed. The data were analyzed using Pearson's χ test, analysis of variance, and binary logistic and Tobit regression models. RESULTS: A total of 3261 patients (sex: men = 58.5%, age: < 30 years = 9.5% and > 60 years = 24.6%) participated in the study. The mean EQ-5D-5L index and EQ-VAS scores were 0.83 and 68.8, respectively. Binary logistic regression analysis revealed that women reported more pain-related problems than men did. Unemployed participants were substantially more likely to report health problems on all the five dimensions of the EQ-5D than their employed counterparts. The Tobit regression model revealed that respondents who were older, unemployed, with low income, received chemotherapy, and with short durations reported a low index score. CONCLUSION: Using the EQ-5D, the preference-based scores of different subpopulations of patients with lymphoma may support economic evaluation by promoting the simultaneous consideration of both the reasonable use of resources and satisfactory achievement of health outcomes.
目的:本研究旨在使用 EQ-5D 在中国评估淋巴瘤患者的健康偏好指数得分。
方法:进行了一项横断面在线调查,以评估中国淋巴瘤患者的健康和幸福感。评估了他们的健康相关生活质量(使用 EQ-5D)、人口统计学和社会经济特征以及健康状况。使用 Pearson's χ 检验、方差分析以及二元逻辑和 Tobit 回归模型对数据进行分析。
结果:共有 3261 名患者(性别:男性=58.5%,年龄:<30 岁=9.5%和>60 岁=24.6%)参与了研究。EQ-5D-5L 指数和 EQ-VAS 评分的平均值分别为 0.83 和 68.8。二元逻辑回归分析显示,女性比男性报告更多的疼痛相关问题。与就业者相比,失业者在 EQ-5D 的所有五个维度上更有可能报告健康问题。Tobit 回归模型显示,年龄较大、失业、收入较低、接受化疗和病程较短的受访者报告的指数得分较低。
结论:使用 EQ-5D,不同亚组淋巴瘤患者的偏好得分可能通过促进同时考虑资源的合理使用和健康结果的满意实现来支持经济评估。
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