Development and Internal Validation of a Disability Algorithm for Multiple Sclerosis in Administrative Data.

ABSTRACT: Objective: We developed and internally validated an algorithm for disability status in multiple sclerosis (MS) using administrative data. Methods: We linked administrative data from Manitoba, Canada to a clinical dataset with Expanded Disability Status Scale (EDSS) scores for people with MS. Clinical EDSS scores constituted the reference standard. We created candidate indicators using the administrative data. These included indicators based on use of particular health care services (home care, long-term care, rehabilitation admission), use of specific diagnostic codes (such as spasticity, quadriplegia), and codes based on use of Employment and Income Insurance. We developed algorithms to predict severe disability (EDSS ≥6.0), and to predict disability as a continuous measure.

SUBMITTER: Marrie RA 

PROVIDER: S-EPMC8592934 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature