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Using Clinical Vignettes and a Modified Expert Delphi Panel to Determine Parameters for Identifying Non-Traumatic
Arrani Senthinathan1, Shawna M Cronin1, Chester Ho2
1From the Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Canada; KITE (Knowledge Innovation Talent Everywhere), Toronto Rehabilitation Institute - University Health Network, Toronto, Canada.
Archives of Physical Medicine and Rehabilitation
|August 24, 2022
Summary
Experts established guidelines for identifying non-traumatic spinal cord injury (NTSCI) in health records. These parameters help classify NTSCI cases in administrative and electronic medical record databases.
Area of Science:
- Neurology
- Medical Informatics
- Epidemiology
Background:
- Accurate identification of non-traumatic spinal cord injury (NTSCI) in health administrative and electronic medical record (EMR) databases is challenging.
- Standardized parameters are needed for consistent case classification.
Purpose of the Study:
- To achieve expert consensus on parameters and etiologic conditions for retrospectively identifying NTSCI cases.
- To develop criteria for classifying NTSCI within health administrative and EMR databases.
Main Methods:
- A modified Delphi process involving two survey rounds and a consensus panel.
- Experts rated clinical vignettes to establish agreement on NTSCI identification.
- International collaboration utilizing an online meeting platform.
Main Results:
- Cauda equina syndromes are considered spinal cord injury (SCI) and classified as NTSCI or traumatic SCI (TSCI) based on injury mechanism.
- NTSCI classification requires neurologic impairments (motor, sensory, bowel, bladder) and an identified etiology.
- Cases can be classified as NTSCI, TSCI, both, recovered NTSCI, or 'unclassifiable' if data is missing.
Conclusions:
- The Delphi panel successfully provided guidelines for classifying NTSCI cases in health administrative and EMR databases.
- These guidelines will improve the accuracy and consistency of NTSCI identification in research and clinical practice.
Keywords:
DatabaseDegenerative diseasesElectronic medical recordRehabilitationSpinal cordSpinal cord diseasesSpinal cord injuriesSpinal stenosisSpondylosis
