"Teamwork Makes the Dream Work": Initial Evidence for Enhancing Problem-Solving in Rural Heart Failure Dyads.

J Cardiovasc NursFeb 17, 2026 (epub)
Clinical ResearchCardiologyPsychiatry

Lucinda J Graven, Thomas Ledermann, Erin Stearns et al.

✦ AI-curated · Sources linked

In 30 seconds

This dyadic single-group repeated-measures study assessed the feasibility and preliminary effects of a tailored, telephone-based problem-solving intervention in 41 rural heart failure patient–care partner dyads. Participants completed eight sessions addressing heart failure-related problems, with outcomes measured at baseline and 5, 9, and 13 weeks. Patients showed significant improvements in problem-solving (b = 0.45, P < .001), self-care maintenance (b = 2.29, P < .001), and depressive symptoms (b = -1.81, P = .002). Self-care confidence increased significantly in both patients and care partners. The authors call for evaluation in a larger clinical trial.

Key findings

  • Patient problem-solving improved significantly (b = 0.45, P < .001).
  • Patient self-care maintenance improved (b = 2.29, P < .001), and depressive symptoms decreased (b = -1.81, P = .002).
  • Self-care confidence increased in patients (b = 2.51, P < .001) and care partners (b = 2.26, P = .01).

Why it matters

Heart failure self-care can place emotional and practical demands on both patients and care partners, particularly in rural settings. These preliminary findings suggest that structured telephone sessions focused on shared problem-solving may support patient self-care and mood while also strengthening confidence in both members of the dyad. The study highlights a potentially useful approach for further evaluation, rather than establishing effectiveness.

What to keep in mind

The single-group design without a comparator limits conclusions about whether the intervention caused the observed changes. The authors state that a larger clinical trial is needed.

Source

Published in J Cardiovasc Nurs. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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