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. 2023 Oct;35(9):632-642.
doi: 10.1177/08982643231152520. Epub 2023 Jan 31.

The Pre-Adaptation of a Stroke-Specific Self-Management Program Among Older Adults

Timothy Reistetter  1 , Kimberly Hreha  2 , Julianna M Dean  3 , Monique R Pappadis  4   5 , Rachel R Deer  6 , Chih-Ying Li  7 , Ickpyo Hong  8 , Annalisa Na  9 , Sara Nowakowski  10 , Hashem M Shaltoni  4 , Suresh K Bhavnani  5
Affiliations

The Pre-Adaptation of a Stroke-Specific Self-Management Program Among Older Adults

Timothy Reistetter et al. J Aging Health. 2023 Oct.

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, 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.

Keywords: adaptation; self-management; stroke; visual analytics.

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Conflict of interest statement

Declaration of Conflicting Interests: The authors declare that there is no conflict of interest.

Figures

Figure 1.
Figure 1.
The five subgroups from the visual analytics output.
See this image and copyright information in PMC

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