Electronic Health Records (EHRs) Can Identify Patients at High Risk of Fracture but Require Substantial Race Adjustments to Currently Available Fracture Risk Calculators.

ABSTRACT:

Background

Osteoporotic fracture prediction calculators are poorly utilized in primary care, leading to underdiagnosis and undertreatment of those at risk for fracture. The use of these calculators could be improved if predictions were automated using the electronic health record (EHR). However, this approach is not well validated in multi-ethnic populations, and it is not clear if the adjustments for race or ethnicity made by calculators are appropriate.

Objective

To investigate EHR-generated fracture predictions in a multi-ethnic population.

Design

Retrospective cohort study using data from the EHR.

Setting

An urban, academic medical center in Philadelphia, PA.

Participants

12,758 White, 7,844 Black, and 3,587 Hispanic patients seeking routine care fro

SUBMITTER: Jain RK 

PROVIDER: S-EPMC10713897 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature