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

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  • Christine T Cigolle
  • Corey L Nagel
  • Caroline S Blaum
  • Jersey Liang
  • Ana R Quiñones

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).

Suggested Citation

  • Christine T Cigolle & Corey L Nagel & Caroline S Blaum & Jersey Liang & Ana R Quiñones, 2018. "Inconsistency in the Self-report of Chronic Diseases in Panel Surveys: Developing an Adjudication Method for the Health and Retirement Study," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 901-912.
    • Handle: RePEc:oup:geronb:v:73:y:2018:i:5:p:901-912.
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    File URL: http://hdl.handle.net/10.1093/geronb/gbw063
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    1. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
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    1. Heidi Amalie Rosendahl Jensen & Michael Davidsen & Anne Illemann Christensen & Ola Ekholm, 2019. "Inconsistencies in self-reported health conditions: results of a nationwide panel study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(8), pages 1243-1246, November.

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