Do differences in methods for constructing SF-36 physical and mental health summary measures change their associations with chronic medical conditions and utilization?

Do differences in methods for constructing SF-36 physical and mental health summary measures change their associations with chronic medical conditions and utilization?
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DOI:
10.1023/a:1026191016380
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发表时间:
2003-12-01
影响因子:
3.5
通讯作者:
Hays, RD
Hays, RD
中科院分区:
医学2区
文献类型:
--
作者:
Cunningham, WE;Nakazono, TT;Hays, RD

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背景和目标:已采用各种方法来得出 SF-36 和 RAND-36 的身体健康和心理健康摘要分数,但替代评分算法的直接比较很少。我们确定了身体和心理健康总分与慢性病和利用率的关联是否会根据所使用的评分算法而有所不同。方法:我们检查了 5701 名接受来自主要位于美国西部的 48 个医师团体的独立协会的医疗护理的患者,并比较了 SF-36 和 RAND-36 的身体健康评分和心理健康总结评分。使用双变量和多变量分析比较了与糖尿病、心脏病和肾脏疾病的存在以及与医疗保健和心理保健的利用之间的关联。为了检查 SF-36 和 RAND-36 分数之间的关系,我们将 SF-36 身体和心理健康综合分数回归到 RAND-36 身体和心理健康摘要测量上,反之亦然。结果:我们发现 SF-36 和 RAND-36 总分在心脏病、糖尿病和肾脏疾病以及利用率测量方面产生的结果通常彼此相似。然而,对于每一种慢性疾病,RAND-36 的心理健康下降程度都比 SF-36 稍大一些。结论:两组总结分数之间的差异与其各自的概念和分析方法一致。如果在未来的研究中需要比较 SF-36 和 RAND-36 总分之间的结果,则可以使用本研究中得出的回归方程来估计它们。
Background and objective: Various approaches have been employed to derive physical health and mental health summary scores for the SF-36 and the RAND-36, but head-to-head comparisons of alternative scoring algorithms are rare. We determined whether the associations of the physical and mental health summary scores with chronic medical conditions and utilization would differ depending on the scoring algorithm used. Methods: We examined 5701 patients receiving medical care from an independent association of 48 physician groups located primarily in the western United States and compared SF-36 and RAND-36 scoring of physical health and mental health summary scores. Associations with the presence of diabetes, heart disease, and kidney disease, as well as with utilization of medical care and mental health care were compared using bivariate and multivariate analysis. To examine the relationship between SF-36 and RAND-36 scores, we regressed the SF-36 physical and mental health composite scores on the RAND-36 physical and mental health summary measures and vice versa. Results: We found that the SF-36 and RAND-36 summary scores generally yielded results similar to one another across measures of heart disease, diabetes, and kidney disease, as well as measures of utilization. However, for each chronic medical condition, the RAND-36 showed a slightly larger decrement in mental health than did the SF-36. Conclusions: Differences between the two sets of summary scores were consistent with their respective conceptual and analytic approaches. Where comparisons of results between the SF-36 and RAND-36 summary scores are desirable in future studies, they can be estimated using the regression equations derived in this study.