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Development of an ICD Coding Definition for Inflammatory Bowel Disease

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CONTRIBUTORS:
  Author Ali REZAIE
  Supervisor Robert HILSDEN
  Reviewer Remo PANACCIONE
  Reviewer Hude QUAN
  Reviewer John MARSHALL
UNIVERSITY / COLLEGE:
  University of Calgary, Alberta, CA
YEAR: 2007
PUB TYPE: Thesis/Dissertation
PAGES: 2,  144 p.
SUBJECT(S): public health
DISCIPLINE: Medicine
HTTP: http://lori.academicdirect.org/cites/200706.pdf
LANGUAGE: English
PUB ID: 103-438-284 (Last edited on 2009/11/09 07:30:00 US/Mountain)
SPONSOR(S):
 
ABSTRACT:
INTRODUCTION: To facilitate the conduction of population-based epidemiologic studies, this study was performed to develop a criterion for capturing IBD patients through comprehensive administrative databases in the province of Alberta, Canada. METHODS: Reports of endoscopy procedures performed within the Calgary Health Region are housed in a computerized database (EndoPro). Computerized and manual search strategies were conducted on EndoPro to categorize the patients undergone a colonoscopy into definite IBD, possible IBD, and definite non-IBD patients. Between 1995-2004, the medical service history (lCD diagnostic codes) was tracked by a unique personal health identification number in physician claims, hospital abstracts and Ambulatory Care Classification System (ACCS) databases. ICD-9 and lCD-10 codes for Crohn‘s disease and ulcerative colitis were extracted. Over 150 administrative definitions were developed for IBD patients depending on the number and periodicity of IBD codes in each database. Complementary chart reviews were done in case of disagreement between administrative criteria and EndoPro. RESULTS: 1,399 IBD patients and 15,439 definite non-IBD individuals were identified through EndoPro database search and chart reviews. The favorable definition classifies individuals as having IBD only if they have four physician claims OR two ACCS claims OR a hospitalization with an ICD diagnostic code of IBD. The definition must be met within a maximum time period of three years (Specificity, 99.75%, 95%CI, 99.66%-99.82%; Sensitivity, 85.70%, 95%CI, 83.76%-87.50%). CONCLUSION: Through a novel methodology we have developed a reliable lCD coding definition for IBD, which could be used in future population-based studies.
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