Suppr超能文献

EQ-5D、SF-6D 和 SF-12 在人群健康调查中作为健康状况衡量指标的区分能力。

Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey.

机构信息

CIBER en Epidemiología y Salud Pública, Barcelona, Spain.

出版信息

Qual Life Res. 2010 Aug;19(6):853-64. doi: 10.1007/s11136-010-9639-z. Epub 2010 Mar 31.

Abstract

PURPOSE

To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey.

METHODS

Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments' capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions.

RESULTS

All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47-0.55), activity limitations (ES = 0.92-0.98), perceived health (ES = 0.97-1.33), and psychological well-being (ES = 1.17-1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76-1.04) for 4, moderate (0.55-0.74) for 8, and small (0.17-0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D.

CONCLUSIONS

The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions.

摘要

目的

比较 EQ-5D、SF-6D 和 SF-12 在区分具有相关社会人口学和健康特征的群体方面的能力,这些群体来自一般人群调查。

方法

数据来自 2006 年加泰罗尼亚健康访谈调查,这是加泰罗尼亚(西班牙)一般人群的代表性样本(n=4319)。计算效应大小(ES)和受试者工作特征(ROC)曲线,以评估这些工具根据社会人口学变量、近期健康问题、感知健康、心理困扰和选定的慢性疾病区分群体的能力。

结果

所有工具在基于社会人口学变量、近期就医(ES=0.47-0.55)、活动受限(ES=0.92-0.98)、感知健康(ES=0.97-1.33)和心理幸福感(ES=1.17-1.57)方面,都显示出对群体的区分能力相似。对于十四种选定慢性疾病的任何一种,受访者之间的效应大小较大(0.76-1.04),中等(0.55-0.74)有 8 种,较小(0.17-0.39)有 2 种,EQ-5D 指数。SF-12 也观察到类似的模式,但 SF-6D 的 ES 主要为中等(7 种情况)或较小(6 种情况)。

结论

EQ-5D 和 SF-12 在估计慢性疾病、近期健康问题和社会不平等对健康的负担方面大致相当。SF-6D 比 EQ-5D 指数和 SF-12 不敏感,特别是对于身体慢性疾病。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验