Inconsistency in the Self-report of Chronic Diseases in Panel Surveys: Developing an Adjudication Method for the Health and Retirement Study.

TitleInconsistency in the Self-report of Chronic Diseases in Panel Surveys: Developing an Adjudication Method for the Health and Retirement Study.
Publication TypeJournal Article
Year of Publication2018
AuthorsCigolle, CT, Nagel, CL, Blaum, CS, Liang, J, Quiñones, AR
JournalThe Journals of Gerontology Series B: Psychological Sciences and Social Sciences
Volume73
Issue5
Pagination901-912
Date Published07/2018
ISSN Number1758-5368
KeywordsChronic conditions, Meta-analyses, Older Adults, Self-reported health, Studies
Abstract

OBJECTIVES: Chronic disease data from longitudinal health interview surveys are frequently used in epidemiologic studies. These data may be limited by inconsistencies in self-report by respondents across waves. We examined disease inconsistencies in the Health and Retirement Study and investigated a multistep method of adjudication. We hypothesized a greater likelihood of inconsistences among respondents with cognitive impairment, of underrepresented race/ethnic groups, having lower education, or having less income/wealth.

METHOD: We analyzed Waves 1995-2010, including adults 51 years and older (N = 24,156). Diseases included hypertension, heart disease, lung disease, diabetes, cancer, stroke, and arthritis. We used questions about the diseases to formulate a multistep adjudication method to resolve inconsistencies across waves.

RESULTS: Thirty percent had inconsistency in their self-report of diseases across waves, with cognitive impairment, proxy status, age, Hispanic ethnicity, and wealth as key predictors. Arthritis and hypertension had the most frequent inconsistencies; stroke and cancer, the fewest. Using a stepwise method, we adjudicated 60%-75% of inconsistent responses.

DISCUSSION: Discrepancies in the self-report of diseases across multiple waves of health interview surveys are common. Differences in prevalence between original and adjudicated data may be substantial for some diseases and for some groups, (e.g., the cognitively impaired).

URLhttps://www.ncbi.nlm.nih.gov/pubmed/27260670
DOI10.1093/geronb/gbw063
Alternate JournalJ Gerontol B Psychol Sci Soc Sci
Citation Key8552
PubMed ID27260670