A big data approach to evaluate receipt of optimal care in childhood cerebral palsy.

ABSTRACT:

Purpose

Through automated electronic health record (EHR) data extraction and analysis, this project systematically quantified actual care delivery for children with cerebral palsy (CP) and evaluated alignment with current evidence-based recommendations.

Methods

Utilizing EHR data for over 8000 children with CP, we developed an approach to define and quantify receipt of optimal care, and pursued proof-of-concept with two children with unilateral CP, Gross Motor Function Classification System (GMFCS) Level II. Optimal care was codified as a cluster of four components including physical medicine and rehabilitation (PMR) care, spasticity management, physical therapy (PT), and occupational therapy (OT). A Receipt of Care Score (ROCS) quantified the degree of adherence to recommen

SUBMITTER: Mitelpunkt A 

PROVIDER: S-EPMC10406971 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature