Completeness of notification of tuberculosis in The Netherlands: How reliable is record-linkage and capture - Recapture analysis?

N. A.H. van hest, F. Smit, H. M. Baars, G. de vries, P. E.W. de haas, P. J. Westenend, N. D. Nagelkerke, J. H. Richardus

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)

Abstract

The aim of this study was to describe a systematic process of record-linkage, cross-validation, case-ascertainment and capture-recapture analysis to assess the quality of tuberculosis registers and to estimate the completeness of notification of incident tuberculosis cases in The Netherlands in 1998. After record-linkage and cross-validation 1499 tuberculosis patients were identified, of whom 1298 were notified, resulting in an observed under-notification of 13.4%. After adjustment for possible imperfect record-linkage and remaining false-positive hospital cases observed under-notification was 7.3%. Log-linear capture-recapture analysis initially estimated a total number of 2053 (95% CI 1871-2443) tuberculosis cases, resulting in an estimated under-notification of 36.8%. After adjustment for possible imperfect record-linkage and remaining false-positive hospital cases various capture-recapture models estimated under-notification at 13.6%. One of the reasons for the higher than expected estimated under-notification in a country with a well-organized system of tuberculosis control might be that some tuberculosis cases, e.g. extrapulmonary tuberculosis, are managed by clinicians less familiar with notification of infectious diseases. This study demonstrates the possible impact of violation of assumptions underlying capture-recapture analysis, especially the perfect record-linkage, perfect positive predictive value and absent three-way interaction assumptions.

Original languageEnglish
Pages (from-to)1021-1029
Number of pages9
JournalEpidemiology and Infection
Volume135
Issue number6
DOIs
Publication statusPublished - Aug 2007
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Infectious Diseases

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