Inconsistencies in Chronic Disease Reports Over Time

描述（由申请人提供）：自报慢性病已广泛用于老龄化和流行病学研究，以估计常见慢性病的人群水平患病率。健康和退休研究（HRS），像其他国家的健康访谈调查，询问受访者在每一个采访波，他们是否已被诊断为各种慢性疾病的医生，并在重新采访，受访者被给予的选择，以质疑以前的肯定反应的疾病诊断。此外，HRS不仅提供了对自我报告的调查数据的访问，而且还将公开报告的数据与符合Medicare资格的参与者的受限访问管理数据以及选定年份的一部分受访者的药物和生物物理数据联系起来。本研究拟探讨自报慢性病与限制性慢性病资料的一致性，并探讨自报慢性病的时间一致性，最后评估为处理自报慢性病不一致模式而开发的裁定程序的绩效。我们的项目团队一直在参与开发程序，检查HRS中关于药物使用、接受特定治疗的其他自我报告数据，以及确证事件，以裁定个人纵向记录中的不一致性。我们建议评估未经裁定的（原始）自我报告数据与链接的HRS限制文件中可用的健康记录数据的对应程度。同样，我们还建议评估根据我们的裁定方法得出的裁定自我报告数据与关联的HRS限制性健康记录数据的对应程度。我们建议分析1998-2010年的自我报告和限制性HRS数据。该项目有可能提供信息，并使报告的慢性病患病率随着时间的推移变得清晰，并对纵向调查的协调产生影响。如果自我报告数据的裁定程序优于原始自我报告数据和健康记录数据之间的确证，则可能会影响在其他纵向健康访谈调查中使用这些自我报告数据程序，这些调查无法与有限的行政和生物物理数据联系起来。研究者检查来自没有补充健康记录数据的研究的数据，可能能够使用这些裁定程序来协调不一致的纵向慢性疾病模式。

DESCRIPTION (provided by applicant): Self-reported chronic disease has been widely used in aging and epidemiological research to estimate population-level prevalence of common chronic illnesses. The Health and Retirement Study (HRS), like other national health interview surveys, asks respondents at each interview wave whether they have been diagnosed with a variety of chronic conditions by a physician, and in re-interviews, respondents are given the option to dispute previous affirmative responses of disease diagnosis. In addition, the HRS not only provides access to self-reported survey data, but also linkage of publicly reported data to restricted-access administrative data for Medicare- eligible participants as well as pharmaceutical and biophysical data for a subset of respondents in selected years. This project proposes to examine the concordance between self-reported and restricted data derived chronic disease, examine the time consistency of self-reported chronic disease, and finally, assess the performance of adjudication procedures developed to handle inconsistent patterns of self-reported chronic disease. Our project team has been involved in developing procedures that examine additional self-reported data in the HRS on medication usage, receipt of specific treatments, and corroborating events to adjudicate inconsistencies across an individual's longitudinal record. We propose to assess how well unadjudicated (raw) self-reported data corresponds to health record data available in the linked HRS restricted files. Likewise, we also propose to assess how well adjudicated self-reported data resulting from our adjudication methodology corresponds to the linked HRS restricted health record data. We propose to analyze self-reported and restricted HRS data from 1998-2010. This project has the potential to inform and bring clarity to reported chronic disease prevalence over time and has implications for harmonization across longitudinal surveys. Should the adjudication procedure for self-reported data outperform the corroboration between raw self- reported data and health record data, there may be implications for using these self-reported data procedures in other longitudinal health interview surveys that do not have the capacity for linkage to restricted administrative and biophysical data. Investigators examining data from studies without supplemental health record data may be able to use these adjudication procedures to reconcile inconsistent longitudinal chronic disease patterns.