Published in

Springer Nature [academic journals on nature.com], Spinal Cord, 1(52), p. 34-38, 2013

DOI: 10.1038/sc.2013.134

Links

Tools

Export citation

Search in Google Scholar

An administrative data algorithm to identify traumatic spinal cord injured patients: A validation study

Journal article published in 2013 by B. Welk, E. Loh, S. Z. Shariff ORCID, K. Liu, F. Siddiqi
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Objective:To assess the validity of different administrative data sources available for the identification of traumatic spinal cord injured (TSCI) patients.Study design:Retrospective validation study.Setting:Ontario, Canada.Participants:Adult patients seen in tertiary outpatient spinal cord rehabilitation clinics after 1 April 2002.Outcome measures:Sensitivity, specificity, positive and negative predicative values of diagnostic ICD10 codes from Canadian Institutes of Health Discharge Abstracts (CIHI-DAD), Rehabilitation Coding Groups (RCG) from that National Rehabilitation System (NRS), and spinal cord injury fee codes from the Ontario Healthcare Insurance Plan (OHIP). Secondary outcome was the agreement between actual lesion level and RCG/ICD10 coded lesion level.Results:The RCG codes in the NRS have high sensitivity (92%, 95% confidence interval (CI): 87-95%) and specificity (97%, 95% CI: 94-99%) for the identification of true TSCI patients, whereas CIHI-DAD ICD10 codes are highly specific (99%, 95% CI: 95-100) and moderately sensitive (76%, 95% CI: 79-87%). OHIP fee codes had poor sensitivity (64%, 95% CI: 57-71%). Agreement between true lesion level and the NRS and CIHI-DAD coding is good (Kappa of 0.65-0.88 and 0.56-0.70, respectively).Conclusion:This study demonstrated that the NRS is able to accurately discriminate between patients with and without a TSCI. A large population of incident and prevalent TSCI patients are identifiable using administrative data.Sponsorship:This study was funded by a grant from the Division of Urology, Western University.Spinal Cord advance online publication, 12 November 2013; doi:10.1038/sc.2013.134.