title: Agreement between different survey instruments to assess incident and prevalent tumors and medical records - results of the Heinz Nixdorf Recall Study.
abstract: OBJECTIVE
  The validity of participants' self-reports via questionnaires or interviews in epidemiological studies remains questionable. We examined the agreement of tumors, reported via different survey instruments, with medical records.
  
  
  METHODS
  Within the Heinz Nixdorf Recall Study, comprising 4814 subjects aged 45-75 years, tumors were assessed via different survey tools at baseline and 8-year-follow up (FU): personal interviews (CAPI), self-administered questionnaires (SA-Q), physical examinations, short questionnaire/non-responder questionnaire (S-/N-Q) and telephone interviews. Information on each self-reported tumor was coded via ICD-10, WHO-Version 2010, and evaluated against medical records.
  
  
  RESULTS
  During FU, 95% of 1083 self-reported incident tumors in 623 individuals, at baseline, 65% of 473 prevalent tumors in 406 individuals could be evaluated. Agreement of the main assessment tools, CAPI and SA-Q, with medical records was 90.1% and 88.4% (FU) and 91.0% (baseline-CAPI). Best agreement was in tumors of prostate (baseline-CAPI: 97.8%; 5-year-FU-CAPI: 96.9%, SA-Q: 95.7%) and breast (baseline-CAPI: 93.2%; 5-year-FU-CAPI: 100.0%, SA-Q: 98.8%).
  
  
  CONCLUSIONS
  Agreement of CAPI and SA-Q with medical records was good. To assess incident tumors, SA-Q emerged as favorable, as it is least expensive and easy to be applied. Especially for tumors of prostate and breast, cost-intensive and time-consuming validation with medical records may not be necessary.
authors.affiliation: Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Germany. Electronic address: beatebokhof@web.de.
authors.forename: Beate
authors.initials: B
authors.lastname: Bokhof
authors.affiliation: Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Germany.
authors.forename: Lewin
authors.initials: L
authors.lastname: Eisele
authors.affiliation: Clinic of Cardiology, West German Heart Center, University Hospital Essen, University of Duisburg-Essen, Germany.
authors.forename: Raimund
authors.initials: R
authors.lastname: Erbel
authors.affiliation: Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Germany.
authors.forename: Susanne
authors.initials: S
authors.lastname: Moebus
mesh_terms: D000368:Aged; D003625:Data Collection / Q000379:methods*; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D008297:Male; D008499:Medical Records / Q000706:statistics & numerical data*; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology*; D057566:Self Report; D011795:Surveys and Questionnaires
keywords: Agreement; Assessment tools; Medical records; Tumor diagnoses; Validity