TY - JOUR T1 - Estimating the prevalence of diabetes mellitus and thyroid disorders using medication data in Flanders, Belgium. JF - Eur J Public Health Y1 - 2017 A1 - Vaes, Bert A1 - Ruelens, Catherine A1 - Saikali, Samuel A1 - Smets, Alexander A1 - Henrard, Séverine A1 - Françoise Renard A1 - van den Akker, Marjan A1 - Van Pottelbergh, Gijs A1 - Goderis, Geert A1 - Johan Van der Heyden AB -

Background: Various methods exist to estimate disease prevalences. The aim of this study was to determine whether dispensed, self-reported and prescribed medication data could be used to estimate the prevalence of diabetes mellitus and thyroid disorders. Second, these pharmaco-epidemiological estimates were compared with prevalences based on self-reported diagnoses and doctor-registered diagnoses.

Methods: Data on medication for diabetes and thyroid disorders were obtained from three different sources in Flanders (Belgium) for 2008: a purely administrative database containing data on dispensed medication, the Belgian National Health Interview Survey for self-reported medication and diagnoses, and a patient record database for prescribed medication and doctor-registered diagnoses. Prevalences were estimated based on medication data and compared with each other. Cross-tabulations of dispensed medication and self-reported diagnoses, and prescribed medication and doctor-registered diagnoses, were investigated.

Results: Prevalences based on dispensed medication were the highest (4.39 and 2.98% for diabetes and thyroid disorders, respectively). The lowest prevalences were found using prescribed medication (2.39 and 1.72%, respectively). Cross-tabulating dispensed medication and self-reported diagnoses yielded a moderate to high sensitivity for diabetes (90.4%) and thyroid disorders (77.5%), while prescribed medication showed a low sensitivity for doctor-registered diagnoses (56.5 and 43.6%, respectively). The specificity remained above 99% in all cases.

Conclusions: This study was the first to perform cross-tabulations for disease prevalence estimates between different databases and within (sub)populations. Purely administrative database was shown to be a reliable source to estimate disease prevalence based on dispensed medication. Prevalence estimates based on prescribed or self-reported medication were shown to have important limitations.

U1 - http://www.ncbi.nlm.nih.gov/pubmed/29016831?dopt=Abstract M3 - 10.1093/eurpub/ckx106 ER -