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Development and Validation of an ICD-10 Case Definition for Pediatric Traumatic Brain Injury using Canadian Administrative Data

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ucalgary_2012_mcchesney_jane.pdf (1.656Mb)
Advisor
Jette, Nathalie
Author
McChesney, Jane
Accessioned
2012-12-12T23:00:38Z
Available
2013-06-15T07:01:38Z
Issued
2012-12-12
Submitted
2012
Other
Health Services Research
Surveillance
Coding Algorithms
Traumatic Brain Injury
Administrative Data
Subject
Health Sciences
Type
Thesis
Metadata
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Abstract
Background: Administrative data are used for disease surveillance and research. A validated case definition to study pediatric traumatic brain injury(TBI)using administrative data is not available. Methods: Using systematic review methodology, we identified studies validating TBI ICD coding. Second, a cohort of children with and without TBI from a pediatric emergency department (ER) was linked to administrative hospital and emergency databases. Nine ICD-10 based algorithms were tested. Sensitivity, specificity, and positive/negative predictive value (PPV, NPV) were calculated. Results: We identified three studies from the systematic review with varying diagnostic accuracy, and none were pediatric specific. The best algorithm to identify TBI cases was, “1 Hospital or 1 ER visit in 1 year”: sensitivity 69.8%, (67.3-72.2), specificity 96.7% (96.2-97.2), PPV 84.2% (82.0-86.3), NPV 92.7% (92.0-93.3). Conclusion: This study algorithm is best to capture ER or hospitalized TBI cases. Future research should develop algorithms which include children seen in the community.
Corporate
University of Calgary
Faculty
Graduate Studies
Doi
http://dx.doi.org/10.11575/PRISM/25648
Uri
http://hdl.handle.net/11023/345
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