Improving on analyses of self-reported data in a large-scale health survey by using information from an examination-based survey
Improving on analyses of self-reported data in a large-scale health survey by using information from an examination-based survey
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DOI：
10.1002/sim.3809
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发表时间：
2010-02-28
影响因子：
2
通讯作者：
Bondarenko, Irina
中科院分区：
文献类型：
--
作者：
Schenker, Nathaniel;Raghunathan, Trivellore E.;Bondarenko, Irina
评估感兴趣人群健康状况的常见数据来源包括基于访谈的大规模调查，这些调查通常会提出一些需要自我报告的问题，例如，医生或其他健康专业人员是否曾告诉你，你有感兴趣的健康状况？或者“你的(身高/体重)是多少？”对这类问题的回答可能并不总是反映健康状况的真实普遍情况(例如，如果被调查者错误地报告了身高/体重或无法得到医生或其他保健专业人员的帮助)。健康数据中的这种“测量误差”可能会影响对健康和健康差距的测量的推断。根据国家卫生统计中心进行的两项调查，本文描述了一种基于归因的策略，该策略使用基于检查的健康调查的临床信息来改进更大的基于访谈的健康调查中自我报告数据的分析。根据自我报告值和协变量预测临床价值的模型与国家健康和营养检查调查(NHANES)的数据相匹配，NHANES在访谈部分提出自我报告问题，并在体检部分获得临床测量数据。拟合的模型被用来乘以国家健康访谈调查(NHIS)的临床价值，NHIS是一项仅通过访谈获得数据的更大调查。涉及高血压、糖尿病和肥胖症的插图表明，基于多次推定的临床值对健康指标的估计与仅基于NHIS自我报告的数据的估计不同，并且比仅基于NHANES临床数据的估计标准误差更小。本文讨论了研究中使用的方法与两阶段/两阶段/验证抽样和估计的关系，以及局限性、实际考虑和未来研究的领域。2009年由John Wiley&Sons，Ltd.出版。
Common data sources for assessing the health of a population of interest include large-scale surveys based on interviews that often pose questions requiring a self-report, such as, 'Has a doctor or other health professional ever told you that you have < health condition of interest >?' or 'What is your (height/weight)?' Answers to such questions might not always reflect the true prevalences of health conditions (for example, if a respondent misreports height/weight or does not have access to a doctor or other health professional). Such 'measurement error' in health data could affect inferences about measures of health and health disparities. Drawing on two surveys conducted by the National Center for Health Statistics, this paper describes an imputation-based strategy for using clinical information from an examination-based health survey to improve on analyses of self-reported data in a larger interview-based health survey. Models predicting clinical values from self-reported values and covariates are fitted to data from the National Health and Nutrition Examination Survey (NHANES), which asks self-report questions during an interview component and also obtains clinical measurements during a physical examination component. The fitted models are used to multiply impute clinical values for the National Health Interview Survey (NHIS), a larger survey that obtains data solely via interviews. Illustrations involving hypertension, diabetes, and obesity suggest that estimates of health measures based on the multiply imputed clinical values are different from those based on the NHIS self-reported data alone and have smaller estimated standard errors than those based solely on the NHANES clinical data. The paper discusses the relationship of the methods used in the study to two-phase/two-stage/valiclation sampling and estimation, along with limitations, practical considerations, and areas for future research. Published in 2009 by John Wiley & Sons, Ltd.