Ontology highlight
ABSTRACT: Background
Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption.Objective
This study aimed to assess the added value of a prediction model for long-term outcomes of rehabilitation after CVA and evaluate how it can best be displayed, implemented, and integrated into the care process.Methods
We designed a mock-up version, including visualizations, based on our recently developed prediction model. We conducted focus groups with CVA patients and informal c
SUBMITTER: Allaart CG
PROVIDER: S-EPMC11799809 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature