Development and Validation of an Administrative Data Algorithm to Identify Adults who have Endoscopic Sinus Surgery for Chronic Rhinosinusitis

Description
Title: Development and Validation of an Administrative Data Algorithm to Identify Adults who have Endoscopic Sinus Surgery for Chronic Rhinosinusitis
Authors: Macdonald, Kristian I
Date: 2016
Abstract: Objective: 1) Systematic review on the accuracy of Chronic Rhinosinusitis (CRS) identification in administrative databases; 2) Develop an administrative data algorithm to identify CRS patients who have endoscopic sinus surgery (ESS). Methods: A chart review was performed for all ESS surgical encounters at The Ottawa Hospital from 2011-12. Cases were defined as encounters in which ESS for performed for Otolaryngologist-diagnosed CRS. An algorithm to identify patients who underwent ESS for CRS was developed using diagnostic and procedural codes within health administrative data. This algorithm was internally validated. Results: Only three studies meeting inclusion criteria were identified in the systematic review and showed inaccurate CRS identification. The final algorithm using administrative and chart review data found that encounters having at least one CRS diagnostic code and one ESS procedural code had excellent accuracy for identifying ESS: sensitivity 96.0% sensitivity, specificity 100%, and positive predictive value 95.4%. Internal validation showed similar accuracy. Conclusion: Most published AD studies examining CRS do not consider the accuracy of case identification. We identified a simple algorithm based on administrative database codes accurately identified ESS-CRS encounters.
URL: http://hdl.handle.net/10393/35148
http://dx.doi.org/10.20381/ruor-5211
CollectionThèses, 2011 - // Theses, 2011 -
Files