Predictors of Engagement in a Virtual Support Intervention for Caregivers of Adults With Heart Failure: An Explanatory Sequential Mixed Methods Study

Major variables influencing the engagement of heart failure caregivers in this supportive self-care intervention were identified. Accounting for these issues in intervention design and refinement may promote engagement in support programs by the very populations who need such interventions the most.

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Publication Details

Journal
The Journal of Cardiovascular Nursing
Published
2026-02-19
DOI
https://doi.org/10.1097/jcn.0000000000001308
Primary Topic
Heart Failure Treatment and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictors of Engagement in a Virtual Support Intervention for Caregivers of Adults With Heart Failure: An Explanatory Sequential Mixed Methods Study

Ryan Quinn, Elaine Sang, Jenna Ferguson, Tracie Walser et al.
The Journal of Cardiovascular Nursing
Heart Failure Treatment and Management
article

Predictors of Engagement in a Virtual Support Intervention for Caregivers of Adults With Heart Failure: An Explanatory Sequential Mixed Methods Study

Ryan Quinn, Elaine Sang, Jenna Ferguson, Tracie Walser, Gladys Thomas, Katherine S Pitcher, Austin M. Matus, Karen B. Hirschman, Sue Hyon Kim, Barbara Riegel
article en

Abstract

Major variables influencing the engagement of heart failure caregivers in this supportive self-care intervention were identified. Accounting for these issues in intervention design and refinement may promote engagement in support programs by the very populations who need such interventions the most.

The Journal of Cardiovascular Nursing
Thomas Jefferson University (US), Chester County Hospital (US), Feminist Archive North (GB), Community Initiatives (US), University of Pennsylvania (US), Philadelphia University (US)
No poverty
Openalex Percentile: Top 53%
Heart Failure Treatment and Management
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