Identifying pediatric diabetes cases from health administrative data: a population-based validation study in Quebec, Canada

References

• Dahlquist G, Kallen B. Mortality in childhood-onset type 1 diabetes: a population-based study. Diabetes Care. 2005;28(10):2384–2387. doi:10.2337/diacare.28.10.238416186267
   PubMed Web of Science ®Google Scholar
• Edge JA, Ford-Adams ME, Dunger DB. Causes of death in children with insulin dependent diabetes 1990-96. Arch Dis Child. 1999;81(4):318–323. doi:10.1136/adc.81.4.31810490436
   PubMed Web of Science ®Google Scholar
• Guttmann A, Nakhla M, Henderson M, et al. Validation of a health administrative data algorithm for assessing the epidemiology of diabetes in Canadian children. Pediatr Diabetes. 2010;11(2):122–128. doi:10.1111/j.1399-5448.2009.00539.x19500278
   PubMed Web of Science ®Google Scholar
• Nakhla M, Rochette L, Rahme E, Larocque I Trends in diabetes prevalence and incidence in children and youth in Quebec, Canada 2000-2008: a population-based study. International Society of Pediatric and Adolescent Diabetes 10 19–22, 2011; Miami.
   Google Scholar
• Patterson CC, Dahlquist GG, Gyurus E, Green A, Soltesz G. Incidence trends for childhood type 1 diabetes in Europe during 1989-2003 and predicted new cases 2005-20: a multicentre prospective registration study. Lancet (London, England). 2009;373(9680):2027–2033. doi:10.1016/S0140-6736(09)60568-7
   PubMed Web of Science ®Google Scholar
• Amed S, Dean HJ, Panagiotopoulos C, et al. Type 2 diabetes, medication-induced diabetes, and monogenic diabetes in Canadian children: a prospective national surveillance study. Diabetes Care. 2010;33(4):786–791. doi:10.2337/dc09-101320067956
   PubMed Web of Science ®Google Scholar
• Benchimol EI, Manuel DG, To T, Griffiths AM, Rabeneck L, Guttmann A. Development and use of reporting guidelines for assessing the quality of validation studies of health administrative data. J Clin Epidemiol. 2011;64(8):821–829. doi:10.1016/j.jclinepi.2010.10.00621194889
   PubMed Web of Science ®Google Scholar
• Benchimol EI, Smeeth L, Guttmann A, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015;12(10):e1001885. doi:10.1371/journal.pmed.100180926440803
   PubMed Web of Science ®Google Scholar
• Responding to the Challenge of Diabetes in Canada: First Report of the National Diabetes Surveillance System (NDSS) 2003. Public Health Agency of Canada. Ottawa,ON: Her Majesty the Queen in Right of Canada, represented by the Minister of Health; 2003.
   Google Scholar
• Benchimol EI, Guttmann A, Griffiths AM, et al. Increasing incidence of paediatric inflammatory bowel disease in Ontario, Canada: evidence from health administrative data. Gut. 2009;58(11):1490–1497. doi:10.1136/gut.2009.18838319651626
   PubMed Web of Science ®Google Scholar
• Cummings E, Dodds L, Cooke C, et al. Using administrative data to define diabetes cases in children and youth. Can J Diabetes. 2014;33(3):228. doi:10.1016/S1499-2671(09)33116-0
   Google Scholar
• Benchimol EI, Guttmann A, Mack DR, et al. Validation of international algorithms to identify adults with inflammatory bowel disease in health administrative data from Ontario, Canada. J Clin Epidemiol. 2014;67(8):887–896. doi:10.1016/j.jclinepi.2014.02.01924774473
   PubMed Web of Science ®Google Scholar
• Amed S, Vanderloo SE, Metzger D, et al. Validation of diabetes case definitions using administrative claims data. Diabet Med. 2011;28(4):424–427. doi:10.1111/j.1464-5491.2011.03238.x21392063
   PubMed Web of Science ®Google Scholar
• Dart AB, Martens PJ, Sellers EA, Brownell MD, Rigatto C, Dean HJ. Validation of a pediatric diabetes case definition using administrative health data in manitoba, Canada. Diabetes Care. 2011;34(4):898–903. doi:10.2337/dc10-157221378211
   PubMed Web of Science ®Google Scholar
• Booth G, Cheng AY; Canadian Diabetes Association Clinical Practice Guidelines Expert C. Canadian Diabetes Association 2013 clinical practice guidelines for the prevention and management of diabetes in Canada. Methods. Can J Diabetes. 2013;37(Suppl 1):S4–S7. doi:10.1016/j.jcjd.2013.01.01024070961
   PubMed Web of Science ®Google Scholar
• Dendukuri N, Rahme E, Belisle P, Joseph L. Bayesian sample size determination for prevalence and diagnostic test studies in the absence of a gold standard test. Biometrics. 2004;60(2):388–397. doi:10.1111/j.0006-341X.2004.00183.x15180664
   PubMed Web of Science ®Google Scholar
• Ladouceur M, Rahme E, Pineau CA, Joseph L. Robustness of prevalence estimates derived from misclassified data from administrative databases. Biometrics. 2007;63(1):272–279. doi:10.1111/j.1541-0420.2006.00665.x17447953
   PubMed Web of Science ®Google Scholar
• Leong A, Dasgupta K, Chiasson JL, Rahme E. Estimating the population prevalence of diagnosed and undiagnosed diabetes. Diabetes Care. 2013;36(10):3002–3008. doi:10.2337/dc12-254323656982
   PubMed Web of Science ®Google Scholar
• Ng R, Bernatsky S, Rahme E. Observation period effects on estimation of systemic lupus erythematosus incidence and prevalence in Quebec. J Rheumatol. 2013;40(8):1334–1336. doi:10.3899/jrheum.12121523772078
   PubMed Web of Science ®Google Scholar
• Slim Z, Rahme E, Bernatsky S. Capture of Rheumatoid Arthritis Cases within Quebec Health Administrative Database. J Rheumatol. Epub 2019 Mar 15. doi: 10.3899/jrheum.181121.
   Google Scholar
• Walter SD, Irwig LM. Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review. J Clin Epidemiol. 1988;41(9):923–937.3054000
   PubMed Web of Science ®Google Scholar
• Manuel DG, Rosella LC, Stukel TA. Importance of accurately identifying disease in studies using electronic health records. BMJ. 2010;341:c4226. doi:10.1136/bmj.c422620724404
   PubMed Web of Science ®Google Scholar