2013
DOI: 10.1097/mlr.0b013e3182329778
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Administrative Hospitalization Database Validation of Cardiac Procedure Codes

Abstract: Using a clinical registry as the gold standard, the coding accuracy of common cardiac procedures in the CIHI administrative database was high.

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Cited by 101 publications
(52 citation statements)
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“…Despite this shortcoming, our capture of covariate information was based on validated algorithms within high‐quality administrative databases, which were complemented by detailed patient‐level data from the robust CorHealth Ontario provincial registry. Our CABG cohort was well defined using valid procedural codes that were cross validated with the CorHealth Ontario registry records,48 and our ascertainment of mortality was based on province‐wide vital statistics data, ensuring complete follow‐up for all patients. Third, the binary Johns Hopkins ACG frailty‐defining diagnoses indicator did not allow for outcome assessment at different levels of frailty.…”
Section: Discussionmentioning
confidence: 99%
“…Despite this shortcoming, our capture of covariate information was based on validated algorithms within high‐quality administrative databases, which were complemented by detailed patient‐level data from the robust CorHealth Ontario provincial registry. Our CABG cohort was well defined using valid procedural codes that were cross validated with the CorHealth Ontario registry records,48 and our ascertainment of mortality was based on province‐wide vital statistics data, ensuring complete follow‐up for all patients. Third, the binary Johns Hopkins ACG frailty‐defining diagnoses indicator did not allow for outcome assessment at different levels of frailty.…”
Section: Discussionmentioning
confidence: 99%
“…We used a look‐back window of 20 years (back to January 1, 1992) to exclude patients with prior cardiovascular disease. Previous cardiovascular disease was defined by prior hospitalization for acute myocardial infarction, stroke, congestive heart failure, percutaneous coronary intervention, and coronary artery bypass grafting, using previously validated algorithms 13, 14, 15, 16, 17, 18, 19. We also used a 1‐year washout period such that patients who had 1 of the 4 noninvasive diagnostic tests during the 2011 calendar year were excluded.…”
Section: Methodsmentioning
confidence: 99%
“…CIHI diagnostic code sensitivity ranges from 46%-76%, specificity is 99%, positive predictive value 94%-98% and negative predictive value 55%. 20,28 …”
Section: Data Sourcesmentioning
confidence: 99%
“…19 The Ontario Health Insurance Plan (OHIP) database contains information as of 1991 on claims billed for physician and laboratory services, including endoscopic procedures. OHIP database diagnostic codes have been shown to have a high positive predictive rate (> 90%) [20][21][22][23] and high specificity (> 85%) [24][25][26][27] but somewhat limited sensitivity (35%-85%). [24][25][26][27] The Registered Persons Database is a roster of OHIP beneficiaries and maintains information on age, sex, postal code and vital statistics for all Ontarians with a valid OHIP number.…”
Section: Data Sourcesmentioning
confidence: 99%
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