Mapping the SF-12 to preference-based instruments - Convergent validity in a low-income, minority population
Mapping the SF-12 to preference-based instruments - Convergent validity in a low-income, minority population
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DOI：
10.1097/01.mlr.0000093480.58308.d8
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发表时间：
2003-11-01
期刊：
影响因子：
3
通讯作者：
Tancredi, DJ
中科院分区：
文献类型：
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作者：
Franks, P;Lubetkin, EI;Tancredi, DJ
背景基于特征的SF-12具有较低的应答负担，广泛用于临床环境中监测健康和评估项目。得出SF-12健康状况的偏好评分将允许其用于成本效益分析。以前的映射研究SF家庭工具，以偏好为基础的工具没有检查收敛效度或性能在低收入，少数民族人口。在低收入人群中，主要是少数民族样本中，将SF-12与EuroQol（EQ-5D指数）和健康效用指数Mark 3（HU 13）进行映射。研究设计。我们使用了一个横断面调查数据。我们研究了240名低收入，主要是拉丁裔和黑人患者参加纽约社区健康中心的便利样本。我们使用EQ-5D指数和HU 13对SF-12评分的身体（PCS-12）和精神（MCS-12）分量的单独回归作为测量指标。对于EQ-513指数回归，解释的调整方差为58%（bootstrap验证95%置信区间[CI]，46-66）。对于HU 13回归，解释的调整方差为51%（bootstrap 95%CI，39-59）。2个预测指标之间的相关系数为0.96。预测的HU 13与EQ-5D指数的相关性（0.73）和预测的EQ-513指数与HU 13的相关性（0.70）超过了两个原始的基于偏好的测量本身之间的相关性（0.69）。这些试点结果表明，SF-12可以成功地映射到EQ-5D指数和HU 13，产生基于偏好的分数，证明在低收入，少数民族样本的收敛效度。
BACKGROUND. The profile-based SF-12 has a low respondent burden and is used widely in clinical settings to monitor health and evaluate programs. Deriving preference scores for the SF-12 health profile would permit its use in cost-effectiveness analyses. Previous mapping studies of SF family instruments to preference-based instruments have not examined convergent validity or performance in low-income, minority populations.OBJECTIVES. To map the SF-12 to the EuroQol (EQ-5D Index) and the Health Utilities Index Mark 3 (HU13) in a low-income, predominantly minority sample.RESEARCH DESIGN. We used a cross-sectional survey data.SUBJECTS. We studied a convenience sample of 240 low-income, predominantly Latino and black patients attending a community health center in New York.MEASURES. We used separate regressions of the EQ-5D Index and HU13 onto the physical (PCS-12) and mental (MCS-12) components of the SF-12 scores as measures.RESULTS. For the EQ-513 Index regression, the adjusted variance explained was 58% (bootstrap validation 95% confidence interval [CI], 46-66). For the HU13 regression, the adjusted variance explained was 51% (bootstrap 95% CI, 39-59). The correlation coefficient between the 2 predicted measures was 0.96. The correlation of the predicted HU13 with the EQ-5D Index (0.73) and the predicted EQ-513 Index with the HU13 (0.70) exceeded that between the 2 original preference-based measures themselves (0.69).CONCLUSIONS. These pilot results suggest that the SF-12 could be successfully mapped to both the EQ-5D Index and HU13, yielding preference-based scores that demonstrate convergent validity in a low-income, minority sample.