Validation of canadian health administrative data algorithms for estimating trends in the incidence and prevalence of osteoarthritis.

ABSTRACT:

Objective

To estimate the 1) accuracy of algorithms for identifying osteoarthritis (OA) using health administrative data; and 2) population-level OA prevalence and incidence over time in Ontario, Canada.

Method

We performed a retrospective chart abstraction study to identify OA patients in a random sample of 7500 primary care patients from electronic medical records. The validation sample was linked with several administrative data sources. Accuracy of administrative data algorithms for identifying OA was tested against two reference standard definitions by estimating the sensitivity, specificity and predictive values. The validated algorithms were then applied to the Ontario population to estimate and compare population-level prevalence and incidence from 2000 to 2017.

R

SUBMITTER: Widdifield J 

PROVIDER: S-EPMC9718092 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature