Comparison of surrogate with self-respondents regarding medical history and prior medication use

Int J Epidemiol. 2001 Apr;30(2):303-8. doi: 10.1093/ije/30.2.303.

Abstract

Background: The self-report of medical history and medication use is a common feature of epidemiological research.

Methods: In a unique re-interview study, we evaluated the concordance of medical conditions and past medication use reported in two similar interviews 5 years apart.

Results: In 196 re-interviews with the subjects themselves, and in 107 with next-of-kin of subjects who died after the first interview, agreement was good or excellent (kappa > or =0.40) for 90% (9/10) of the conditions asked about in the personal medical history for both next-of-kin and self-respondents. Agreement was excellent (kappa >0.75) for two conditions, high blood pressure and hysterectomy, among self-respondents. Self- and surrogate respondents also showed similar reproducibility for prescription medications, but next-of-kin respondents tended to have poor agreement (kappa <0.40) for over-the-counter (OTC) medications such as antacids, antihistamines, and analgesics. Next-of-kin also less reliably reported a family history of cancer. When analyses were stratified by type of surrogate respondent, concordance between the two interviews was generally higher for spouses than for other surrogate respondents.

Conclusions: This research demonstrates that personal medical history and prescription medication use may be as reliably reported by next-of-kin as self-respondents, but suggests that additional information may be needed to validate measures of OTC medication use and family history of cancer for next-of-kin respondents, possibly through the review of hospital records.

MeSH terms

  • Adult
  • Aged
  • Case-Control Studies
  • Drug Therapy / statistics & numerical data*
  • Family*
  • Female
  • Humans
  • Interviews as Topic / methods*
  • Kidney Neoplasms / epidemiology
  • Male
  • Medical History Taking*
  • Middle Aged
  • Minnesota / epidemiology
  • Observer Variation
  • Reproducibility of Results
  • Statistics, Nonparametric