Development and Testing of the UK SF-12
Development and Testing of the UK SF-12
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英国SF-12的开发和测试
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
R. Layte
中科院分区：
文献类型：
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作者：
C. Jenkinson;R. Layte
目标：事实证明，36 项简短健康调查 (SF-36) 可用于需要对患者评估结果进行简短通用健康衡量的各种环境。该测量可以提供健康状况的八个维度概况，以及评估身体功能和心理健康的两个汇总分数。美国 SF-36 的开发者开发了算法，可在一份仅包含原始 36 个项目（SF-12）三分之一的调查问卷中生成两个汇总成分分数。本文记录了根据英国大型数据集构建的英国 SF-12 总结措施，其中 SF-36 以及有关健康和生活方式的其他问题被发送给随机选择的人口成员。我们尝试使用这些数据在英国复制 SF-36 开发人员的研究结果，然后评估 SF-12 总结评分在各种临床条件下的使用情况。方法：使用因子分析方法从 SF-36 中推导出用于构建身体和心理成分量表的权重。采用回归方法对开发人员推荐的 12 个项目进行加权，构建 SF-12 身体和心理成分分数。该分析是在大型社区样本 (n = 9332) 上进行的，然后对不同患者组（帕金森病、充血性心力衰竭、睡眠呼吸暂停、良性前列腺肥大）的 SF-36 和 SF-12 结果进行比较。结果：SF-36 的因子分析产生了两个因子的解决方案。因子负荷用于对身体成分总结分数（PCS-36）和心理成分总结分数（MCS-36）进行加权。将使用这些措施获得的结果与 PCS-12 和 MCS-12 获得的结果进行比较，发现它们高度相关（PCS：ρ = 0.94，p < 0.001；MCS：ρ = 0.96，p < 0.001），并且在社区样本和各种患者组中产生非常相似的结果。结论：SF-12 能够生成最初从 SF-36 开发的两种汇总量表，具有相当高的准确性，但受访者的负担却少得多。因此，当需要提供有关身体和心理健康状况的摘要信息的简短通用测量方法时，SF-12 可能是一种首选工具。克里斯平·詹金森 博士，副主任
Objectives: The 36 item short form health survey (SF-36) has proved to be of use in a variety of settings where a short generic health measure of patient-assessed outcome is required. This measure can provide an eight dimension profile of health status, and two summary scores assessing physical function and mental well-being. The developers of the SF-36 in America have developed algorithms to yield the two summary component scores in a questionnaire containing only one-third of the original 36 items, the SF-12. This paper documents the construction of the UK SF-12 summary measures from a large-scale dataset from the UK in which the SF-36, together with other questions on health and lifestyles, was sent to randomly selected members of the population. Using these data we attempt here to replicate the findings of the SF-36 developers in the UK setting, and then to assess the use of SF-12 summary scores in a variety of clinical conditions. Methods: Factor analytical methods were used to derive the weights used to construct the physical and mental component scales from the SF-36. Regression methods were used to weight the 12 items recommended by the developers to construct the SF-12 physical and mental component scores. This analysis was undertaken on a large community sample (n = 9332), and then the results of the SF-36 and SF-12 were compared across diverse patient groups (Parkinson's disease, congestive heart failure, sleep apnoea, benign prostatic hypertrophy). Results: Factor analysis of the SF-36 produced a two factor solution. The factor loadings were used to weight the physical component summary score (PCS-36) and mental component summary score (MCS-36). Results gained from the use of these measures were compared with results gained from the PCS-12 and MCS-12, and were found to be highly correlated (PCS: ρ = 0.94, p < 0.001; MCS: ρ = 0.96, p < 0.001), and produce remarkably similar results, both in the community sample and across a variety of patient groups. Conclusions: The SF-12 is able to produce the two summary scales originally developed from the SF-36 with considerable accuracy and yet with far less respondent burden. Consequently, the SF-12 may be an instrument of choice where a short generic measure providing summary information on physical and mental health status is required. Crispin Jenkinson DPhil, Deputy Director