Inconsistencies in Chronic Disease Reports Over Time

描述(由申请人提供)：自报慢性病已被广泛用于老龄化和流行病学研究，以估计常见慢性病在人群中的患病率。健康与退休研究(HRS)和其他国家健康访谈调查一样，在每一波访谈中询问受访者是否被医生诊断为患有各种慢性病，在重新采访中，受访者可以选择对之前对疾病诊断的肯定回答提出异议。此外，HRS不仅提供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联邦医疗保险资格的参与者的受限访问管理数据以及选定年份的部分受访者的药品和生物物理数据联系起来。该项目建议检查自我报告的慢性病和源自慢性病的受限数据之间的一致性，检查自我报告的慢性病的时间一致性，最后评估为处理自我报告的慢性病的不一致模式而开发的裁决程序的表现。我们的项目团队一直参与开发程序，以检查HRS中关于药物使用、特定治疗的接受情况和确证事件的额外自我报告数据，以判断个人纵向记录中的不一致之处。我们建议评估未经裁决的(原始)自我报告数据与链接的HRS受限文件中可用的健康记录数据的对应程度。同样，我们还建议评估由我们的裁决方法产生的经裁决的自我报告数据与关联的HRS受限健康记录数据的对应程度。我们建议分析1998-2010年间自我报告和受限的HRS数据。该项目有可能随着时间的推移通报和澄清报告的慢性病患病率，并对纵向调查的协调产生影响。如果自我报告数据的判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，则在其他纵向健康访谈调查中使用这些自我报告数据程序可能会产生影响，这些纵向健康访谈调查没有能力与受限的行政和生物物理数据相关联。研究人员在没有补充健康记录数据的情况下检查研究数据，也许能够使用这些判定程序来协调不一致的纵向慢性病模式。

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.