Estimating the population health burden of musculoskeletal conditions using primary care electronic health records.

ABSTRACT:

Objectives

Better indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care electronic health records (EHR) can estimate population levels in musculoskeletal consulters.

Methods

We collected validated patient-reported measures of pain experience, function and health status through a local survey of adults (≥35 years) presenting to English general practices over 12 months for low back pain, shoulder pain, osteoarthritis and other regional musculoskeletal disorders. Using EHR data we derived and validated models for estimating population levels of five self-reported indicators: prevalence of high impact chronic

SUBMITTER: Yu D 

PROVIDER: S-EPMC8487274 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature