Transforming self-rated health and the SF-36 scales to include death and improve interpretability
Transforming self-rated health and the SF-36 scales to include death and improve interpretability
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DOI：
10.1097/00005650-200107000-00004
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发表时间：
2001-07-01
期刊：
影响因子：
3
通讯作者：
Fihn, SD
中科院分区：
文献类型：
--
作者：
Diehr, P;Patrick, DL;Fihn, SD
背景。大多数与健康有关的生活质量衡量标准对死者来说都是不明确的。[目的]纵向分析通常局限于无法前瞻性识别的健康人群（幸存者），这些人群的健康状况可能几乎没有变化。开发和评估将单个自评健康项目（从优秀到差；EVGGFP）和SF-36 （PCS）的物理成分得分转化为包括可辩护的死亡值的新变量的方法。利用来自两项老年人大型研究的纵向数据，健康变量被转换为未来健康的概率，条件是当前的观察值；死亡的值为0。对于EVGGFP，基于不同的数据，将新的转换与之前发表的一些转换进行了比较。对于PCS，基于不同健康定义的三种不同转变在患者组之间的区别程度以及检测到的时间变化进行了评估。EVGGFP的新转换与之前发表的类似。建议将5个类别分别编码为95、90、80、30、15，并将死亡编码为0，三种转换的PCS检测到群体差异，且至少与标准PCS变化相同。这些易于解释的转换变量允许在分析中保留死亡的人。建议使用转换后的变量对死亡发生时的健康状况进行纵向分析，无论是二级分析还是初级分析。这一方法可适用于其他健康指标。
BACKGROUND. Most measures of health-related quality of life are undefined for people who die.]Longitudinal analyses are often limited to a healthier cohort (survivors) that cannot be identified prospectively, and that may have had little change in health.OBJECTIVE. To develop and evaluate methods to transform a single self-rated health item (excellent to poor; EVGGFP) and the physical component score of the SF-36 (PCS) to new variables that include a defensible value for death.METHODS. Using longitudinal data from two large studies of older adults, health variables were transformed to the probability of being healthy in the future, conditional on the current observed value; death then has the value of 0. For EVGGFP, the new transformations were compared with some that were published earlier, based on different data. For the PCS, how well three different transformations, based on different definitions of being healthy, discriminated among groups of patients, and detected change in time were assessed.RESULTS. The new transformation for EVGGFP was similar to that published previously. Coding the 5 categories as 95, 90, 80, 30, and 15, and coding dead as 0 is recommended, The three transformations of the PCS detected group differences and change at least as well as the standard PCS.CONCLUSION. These easily interpretable transformed variables permit keeping persons who die in the analyses. Using the transformed variables for longitudinal analyses of health when deaths occur, either for secondary or primary analysis, is recommended. This approach can be applied to other measures of health.