Rheumatology International

, Volume 31, Issue 4, pp 549–554

Surveillance of systemic autoimmune rheumatic diseases using administrative data

Authors

    • Division of Clinical EpidemiologyResearch Institute of the McGill University Health Centre (MUHC)
    • Division of RheumatologyMUHC
  • L. Lix
    • School of Public HealthUniversity of Saskatchewan
  • J. G. Hanly
    • Division of Rheumatology, Department of Medicine and Department of PathologyDalhousie University and Queen Elizabeth II Health Sciences Centre
  • M. Hudson
    • Division of RheumatologyJewish General Hospital
  • E. Badley
    • Dalla Lana School of Public HealthUniversity of Toronto
  • C. Peschken
    • Department of MedicineUniversity of Manitoba
  • C. A. Pineau
    • Division of RheumatologyMUHC
  • A. E. Clarke
    • Division of Clinical EpidemiologyResearch Institute of the McGill University Health Centre (MUHC)
    • Division of Clinical Immunology and AllergyMUHC
  • P. R. Fortin
    • Toronto Western HospitalUniversity Health Network, and University of Toronto
  • M. Smith
    • Manitoba Centre for Health PolicyUniversity of Manitoba
  • P. Bélisle
    • Division of Clinical EpidemiologyResearch Institute of the McGill University Health Centre (MUHC)
  • C. Lagace
    • Public Health Agency of Canada
  • L. Bergeron
    • Canadian Arthritis Patient Alliance
  • L. Joseph
    • Division of Clinical EpidemiologyResearch Institute of the McGill University Health Centre (MUHC)
    • Department of Epidemiology, Biostatistics & Occupational HealthMcGill University
Short Communication

DOI: 10.1007/s00296-010-1591-2

Cite this article as:
Bernatsky, S., Lix, L., Hanly, J.G. et al. Rheumatol Int (2011) 31: 549. doi:10.1007/s00296-010-1591-2

Abstract

There is growing interest in developing tools and methods for the surveillance of chronic rheumatic diseases, using existing resources such as administrative health databases. To illustrate how this might work, we used population-based administrative data to estimate and compare the prevalence of systemic autoimmune rheumatic diseases (SARDs) across three Canadian provinces, assessing for regional differences and the effects of demographic factors. Cases of SARDs (systemic lupus erythematosus, scleroderma, primary Sjogren’s, polymyositis/dermatomyositis) were ascertained from provincial physician billing and hospitalization data. We combined information from three case definitions, using hierarchical Bayesian latent class regression models that account for the imperfect nature of each case definition. Using methods that account for the imperfect nature of both billing and hospitalization databases, we estimated the over-all prevalence of SARDs to be approximately 2–3 cases per 1,000 residents. Stratified prevalence estimates suggested similar demographic trends across provinces (i.e. greater prevalence in females-versus-males, and in persons of older age). The prevalence in older females approached or exceeded 1 in 100, which may reflect the high burden of primary Sjogren’s syndrome in this group. Adjusting for demographics, there was a greater prevalence in urban-versus-rural settings. In our work, prevalence estimates had good face validity and provided useful information about potential regional and demographic variations. Our results suggest that surveillance of some rheumatic diseases using administrative data may indeed be feasible. Our work highlights the usefulness of using multiple data sources, adjusting for the error in each.

Keywords

Systemic autoimmune rheumatic diseasesSurveillanceAdministrative databasesPrevalence

Copyright information

© Springer-Verlag 2010