Inconsistencies in Chronic Disease Reports Over Time

慢性病报告随时间的不一致

• 批准号: 8798087
• 负责人: CHRISTINE T CIGOLLE
• 金额: $ 15.61万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8798087
• 关键词: Address; Adult; Age; Aging; Algorithms; Americas; Behavioral; Cardiac Surgery procedures; Characteristics; Chronic; Chronic Disease; Clinical; Code; Cognitive; Data; Data Reporting; Data Sources; Diabetes Mellitus; Diagnosis; Disease; Disputes; Education; Epidemiology; Ethnic Origin; Event; Funding; Gerontology; Glycosylated hemoglobin A; Goals; Gold; Health; Health Status; Healthcare; Heart Diseases; Impaired cognition; Individual; Interview; Journals; Laboratories; Link; Longitudinal Surveys; Lung diseases; Malignant Neoplasms; Measures; Medical; Medical Records; Medicare; Medicare claim; Methodology; Methods; National Health Interview Survey; National Institute on Aging; Paper; Participant; Patient Self-Report; Pattern; Performance; Pharmaceutical Preparations; Pharmacologic Substance; Physicians; Population; Prevalence; Procedures; Proxy; Public Health; Reporting; Research; Research Personnel; Resources; Respondent; Retirement; Science; Seminal; Societies; Stroke; Structure; Surveys; Time; United States; Validity of Self Report; Work; adjudicate; adjudication; base; cost effective; design; disease diagnosis; eligible participant; health economics; health record; improved; meetings; population based; prospective; public health relevance; response; social; trend

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.

自述慢性疾病已广泛应用于老龄化和流行病学研究中，用于估计人群水平上常见慢性疾病的患病率。健康与退休研究（HRS），像其他国家健康访谈调查一样，在每次访谈中询问受访者是否被医生诊断患有各种慢性疾病，在再次访谈中，受访者可以选择对先前对疾病诊断的肯定反应提出异议。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医疗保险合格参与者的限制访问的管理数据以及选定年份的一部分受访者的制药和生物物理数据联系起来。本项目拟检验自我报告慢性病与限制性数据衍生慢性病之间的一致性，检验自我报告慢性病的时间一致性，最后评估为处理自我报告慢性病不一致模式而制定的裁决程序的绩效。我们的项目团队一直参与开发程序，检查HRS中关于药物使用、接受特定治疗和确证事件的额外自我报告数据，以裁定个人纵向记录的不一致性。我们建议评估未经裁决的（原始的）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，我们还建议评估由我们的裁决方法产生的经裁决的自我报告数据与相关的HRS限制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。该项目有可能为长期报告的慢性病流行情况提供信息并使其清晰，并对纵向调查的协调一致产生影响。如果自我报告数据的裁决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，这些调查不具备与受限制的行政和生物物理数据联系的能力。研究人员检查没有补充健康记录数据的研究数据，可以使用这些裁决程序来调和不一致的纵向慢性疾病模式。