Evidence map›Paper›PMID 41940085›Full record

ArticleFrontiers in cardiovascular medicine2026

Discharge preparedness in chronic heart failure: a dyadic qualitative study of patient and clinician perspectives.

Shan Li, Ruonan Yang, Zhaoying Zhu, Wenqian Wang, Siying Ji, Yunying Hou

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. 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

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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

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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

6 authors.

Shan LiDepartment of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ruonan YangSchool of Nursing, Suzhou Medical College of Soochow University, Suzhou, China.
Zhaoying ZhuDepartment of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China.
Wenqian WangDepartment of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China.
Siying JiDepartment of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yunying HouDepartment of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic heart failure (CHF) in China is characterized by high readmission rates, often linked to suboptimal discharge preparedness. Current discharge planning research predominantly relies on unilateral perspectives-focusing either solely on patient compliance or clinician workflows-thereby failing to capture the critical interactional misalignments that compromise care transitions. This study addresses this gap by employing a dyadic lens to expose the latent discrepancies between clinical priorities and patients' lived realities. Methods: A descriptive qualitative study was conducted at a tertiary hospital in urban China (November 2024-March 2025). Semi-structured interviews were conducted with 15 CHF patients and 6 cardiovascular clinicians. Data were analyzed using a directed content analysis approach underpinned by Spencer's biomedicalization framework. This theoretical orientation provided a structured methodology to decode the epistemic asymmetries and power dynamics characterizing the discharge process. Results: Four themes emerged: 1) The Disconnect in Medical Understanding (mechanistic misconceptions vs. educational barriers); 2) Fragile Self-Management in Daily Life (symptom-driven adherence vs. monitoring neglect); 3) Socio-Cultural Conflicts in Care (dietary non-compliance and contextual activity barriers); 4) Systemic Gaps in Support (familial support deficits and healthcare system shortfalls). Conclusion: Discharge preparation deficiencies reflect bidirectional misalignments between patients' psychosocially embedded needs and clinicians' biomedical risk focus. An integrated intervention framework is proposed: 1) Patient-tier: Literacy-adapted education co-construction; 2) Family-tier: Caregiver crisis-response training; 3) System-tier: Digitally-enhanced nurse-led care coordination. Keywords: Chronic heart failure, Discharge planning, Health literacy, Patient-centered care, Transitional care.

Indexed as

chronic heart failuredischarge preparednessdyadic analysispatient-centered caretransitional care

Identifiers

PMID41940085
PMCPMC13046503

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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.