Publication Date
10-1-2023
Journal
Journal of Aging and Health
DOI
10.1177/08982643231152520
PMID
36719035
PMCID
PMC10387498
PubMedCentral® Posted Date
10-1-2023
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes
Keywords
Humans, Aged, United States, Stroke Rehabilitation, Self-Management, Medicare, Stroke, Comorbidity, stroke, self-management, visual analytics, adaptation
Abstract
Objectives:
Managing multimorbidity as aging stroke patients is complex; standard self-management programs necessitate adaptations. We used visual analytics to examine complex relationships among aging stroke survivors’ comorbidities. These findings informed pre-adaptation of a component of the Chronic Disease Self-Management Program.
Methods:
Secondary analysis of 2013–2014 Medicare claims with stroke as an index condition, hospital readmission within 90 days (n=42,938), and 72 comorbidities. Visual analytics identified patient subgroups and co-occurring comorbidities. Guided by the framework for reporting adaptations and modifications to evidence-based interventions (FRAME), an interdisciplinary team developed vignettes that highlighted multimorbidity to customize the self-management program.
Results:
There were five significant subgroups (z=6.19, p<.001) of comorbidities such as obesity and cancer. We constructed 6 vignettes based on the 5 subgroups.
Discussion:
Aging stroke patients often face substantial disease-management hurdles. We used visual analytics to inform pre-adaptation of a self-management program to fit the needs of older adult stroke survivors.
Included in
Critical Care Commons, Internal Medicine Commons, Medical Sciences Commons, Pulmonology Commons, Sleep Medicine Commons
