Eric I Benchimol1, Astrid Guttmann2, David R Mack3, Geoffrey C Nguyen4, John K Marshall5, James C Gregor6, Jenna Wong7, Alan J Forster8, Douglas G Manuel9. 1. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5; CHEO Inflammatory Bowel Disease Centre, Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Eastern Ontario, 401 Smyth Road, Ottawa, Ontario, Canada K1H 8L1; Department of Pediatrics, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, Canada, K1H 8M5; Department of Epidemiology and Community Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, Canada, K1H 8M5. Electronic address: ebenchimol@cheo.on.ca. 2. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5; Department of Paediatrics, University of Toronto, 1 King's College Circle, Toronto, Ontario, Canada, M5S 1A8; Institute of Health Policy, Management and Evaluation, 155 College Street, University of Toronto, Toronto, Ontario, Canada, M5T 3M7. 3. CHEO Inflammatory Bowel Disease Centre, Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Eastern Ontario, 401 Smyth Road, Ottawa, Ontario, Canada K1H 8L1; Department of Pediatrics, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, Canada, K1H 8M5. 4. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5; Department of Medicine, University of Toronto, 1 King's College Circle, Toronto, Ontario, Canada, M5S 1A8; Centre for Inflammatory Bowel Disease, Mount Sinai Hospital, 600 University Avenue, Toronto, Ontario, Canada, M5G 1X5. 5. Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4K1. 6. Department of Medicine, London Health Sciences Centre, University of Western Ontario, 339 Windermere Road, London, Ontario, Canada, N6G 2V4. 7. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5. 8. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5; Department of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, Canada, K1H 8M5; Ottawa Hospital Research Institute, 725 Parkdale Ave., Ottawa, Ontario, Canada, K1Y 4E9. 9. Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5; Department of Epidemiology and Community Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, Canada, K1H 8M5; Ottawa Hospital Research Institute, 725 Parkdale Ave., Ottawa, Ontario, Canada, K1Y 4E9; Department of Family Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario, Canada, K1H 8M5.
Abstract
OBJECTIVE: Health administrative databases can be used to track disease incidence, outcomes, and care quality. Case validation is necessary to ensure accurate disease ascertainment using these databases. In this study, we aimed to validate adult-onset inflammatory bowel disease (IBD) identification algorithms. STUDY DESIGN AND SETTING: We used two large cohorts of incident patients from Ontario, Canada to validate algorithms. We linked information extracted from charts to health administrative data and compared the accuracy of various algorithms. In addition, we validated an algorithm to distinguish patients with Crohn's from those with ulcerative colitis and assessed the adequate look-back period to distinguish incident from prevalent cases. RESULTS: Over 5,000 algorithms were tested. The most accurate algorithm to identify patients 18 to 64 years at diagnosis was five physician contacts or hospitalizations within 4 years (sensitivity, 76.8%; specificity, 96.2%; positive predictive value (PPV), 81.4%; negative predictive value (NPV), 95.0%). In patients ≥65 years at diagnosis, adding a pharmacy claim for an IBD-related medication improved accuracy. CONCLUSION: Patients with adult-onset incident IBD can be accurately identified from within health administrative data. The validated algorithms will be applied to administrative data to expand the Ontario Crohn's and Colitis Cohort to all patients with IBD in the province of Ontario.
OBJECTIVE: Health administrative databases can be used to track disease incidence, outcomes, and care quality. Case validation is necessary to ensure accurate disease ascertainment using these databases. In this study, we aimed to validate adult-onset inflammatory bowel disease (IBD) identification algorithms. STUDY DESIGN AND SETTING: We used two large cohorts of incident patients from Ontario, Canada to validate algorithms. We linked information extracted from charts to health administrative data and compared the accuracy of various algorithms. In addition, we validated an algorithm to distinguish patients with Crohn's from those with ulcerative colitis and assessed the adequate look-back period to distinguish incident from prevalent cases. RESULTS: Over 5,000 algorithms were tested. The most accurate algorithm to identify patients 18 to 64 years at diagnosis was five physician contacts or hospitalizations within 4 years (sensitivity, 76.8%; specificity, 96.2%; positive predictive value (PPV), 81.4%; negative predictive value (NPV), 95.0%). In patients ≥65 years at diagnosis, adding a pharmacy claim for an IBD-related medication improved accuracy. CONCLUSION:Patients with adult-onset incident IBD can be accurately identified from within health administrative data. The validated algorithms will be applied to administrative data to expand the Ontario Crohn's and Colitis Cohort to all patients with IBD in the province of Ontario.
Authors: Alpha Oumar Diallo; Asha Krishnaswamy; Stuart K Shapira; Matthew E Oster; Mary G George; Jenna C Adams; Elizabeth R Walker; Paul Weiss; Mohammed K Ali; Wendy Book Journal: J Am Med Inform Assoc Date: 2018-12-01 Impact factor: 4.497
Authors: Anthony McKnight; Simone N Vigod; Cindy-Lee Dennis; Susitha Wanigaratne; Hilary K Brown Journal: Can J Psychiatry Date: 2020-12 Impact factor: 4.356
Authors: Eric I Benchimol; David R Mack; Astrid Guttmann; Geoffrey C Nguyen; Teresa To; Nassim Mojaverian; Pauline Quach; Douglas G Manuel Journal: Am J Gastroenterol Date: 2015-03-10 Impact factor: 10.864