Evidence map›Paper›PMID 41709308›Full record

ArticleThe Journal of cardiovascular nursing

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

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

Abstract read
In one paragraph

Article in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Barbara RiegelBarbara Riegel, PhD, RN, FAHA, FAAN, Senior Research Scientist, Center for Home Care Policy & Research at VNS Health, New York, New York, and Professor, School of Nursing, University of Pennsylvania, Philadelphia.
Sue Hyon KimSue Hyon Kim, MSN, RN, Doctoral Student, School of Nursing, Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia.
Ryan QuinnRyan Quinn, MPH, Biostatistician, School of Nursing, University of Pennsylvania, Philadelphia.
Tracie J WalserTracie J. Walser, DNP, MSN-Ed, APHN-BC, HWNC-BC, Health Coach, School of Nursing, University of Pennsylvania, Philadelphia.
Katherine S PitcherKatherine S. Pitcher, BSN, RN, Predoctoral Research Fellow, School of Nursing, University of Pennsylvania, Philadelphia.
Jenna FergusonJenna Ferguson, BSN, RN, Doctoral Student, School of Nursing, University of Pennsylvania, Philadelphia.
Elaine SangElaine Sang, MSN, RN, Doctoral Candidate, School of Nursing, University of Pennsylvania, Philadelphia.
Austin MatusAustin Matus, PhD, RN, Nurse Scientist, Research Department, Penn Medicine Chester County Hospital, West Chester, Pennsylvania.
Gladys L ThomasGladys L. Thomas, MSW, MBA, Project Manager, School of Nursing, University of Pennsylvania, Philadelphia.
Karen B HirschmanKaren B. Hirschman, PhD, MSW, FGSA, Research Professor, School of Nursing, University of Pennsylvania, Philadelphia.

Funding

Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
Improving Self-Care of Informal Caregivers of Adults with Heart FailureR01NR018196 · NINR · UNIVERSITY OF PENNSYLVANIA · PI RIEGEL, BARBARA J · 2019 to 2023
$3.4M
Sepsis Patient Education: Perspectives from Home Health Nurses and Knowledge among Sepsis SurvivorsF31NR021242 · NINR · UNIVERSITY OF PENNSYLVANIA · PI SANG, ELAINE · 2024 to 2025
$96k
NINR NIH HHS F31 NR021242NINR NIH HHS R01 NR018196NINR NIH HHS T32 NR009356
6 · The paper itself

Abstract

backgroundEnsuring that consumers are active partners in their personal healthcare is an important goal. We developed and tested a 10-session virtual self-care intervention delivered by health coaches (Virtual Caregiver Coach for You) to informal caregivers of patients with heart failure. Trial results were promising, yet caregivers were not uniformly engaged in the intervention. The aim of this study was to explore factors associated with intervention engagement.

methodsThis explanatory sequential mixed methods study was conducted in 3 steps. First, quantitative data on sociodemographic characteristics, caregiving, stress, burden, coping, and treatment credibility and expectancy were analyzed with respect to the number of completed sessions. We used multivariable logistic regression to identify salient predictors of intervention engagement operationalized as completing ≥ 8 of the 10 sessions. Then, 24 caregivers were interviewed to explore personal, intrapersonal, interpersonal, and situational factors associated with intervention engagement. Transcribed interviews were analyzed using content analysis and integrated with the quantitative data in step 3.

resultsRace (Black or other people of color), insufficient income, being a parent or grandparent caregiver, and a high number of daily caregiving hours reduced the odds of completing 8 or more sessions, while perceived intervention credibility increased the odds of completing the sessions. Interviews revealed 3 themes explaining the completion of relatively fewer sessions: (1) challenges with life balance, (2) practical day-to-day issues, and 3) not understanding the intervention.

conclusionsMajor 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.

Indexed as

CaregiversHeart FailureSelf CareAdaptation, PsychologicalAdultAgedFemaleHumansMaleMiddle AgedSocial Supportcaregiversheart failurepatient activationpatient empowermentpatient enablementpatient engagementpatient participationpsychosocial supportself-careshared decision-making

Identifiers

PMID41709308
PMCPMC13134465

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.