Evidence map›Paper›PMID 42406878›Full record

SynthesisJournal of medical Internet research2026

Patients' Experiences of Nurse-Led eHealth Interventions for Chronic Heart Failure: Qualitative Systematic Review and Meta-Synthesis.

Yifan Zhang, Yanjie Ma, Wenrui Han, Yilong Song, Zhixian Wang, Xingda Jin, Wenlin Cheng, Shukun Yu, Rui Li

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yifan Zhang *School of Nursing, Beihua University, Jilin, China.ORCID http://orcid.org/0009-0005-4763-0506
Yanjie Ma *Wuxi School of Medicine, Jiangnan University, Wuxi, China.ORCID http://orcid.org/0009-0002-3591-4382
Wenrui HanSchool of Nursing, Beihua University, Jilin, China.ORCID http://orcid.org/0009-0006-9121-0434
Yilong SongGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID http://orcid.org/0009-0004-3475-7068
Zhixian WangSchool of Nursing, Beihua University, Jilin, China.ORCID http://orcid.org/0009-0008-0847-424X
Xingda JinSchool of Nursing, Beihua University, Jilin, China.ORCID http://orcid.org/0009-0005-0689-7669
Wenlin ChengDepartment of Nursing, Tongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0009-0008-0589-0029
Shukun YuDepartment of Nursing, The Affiliated Hospital of Beihua University, No 12 Jiefang Middle Road, Chuanying District, Jilin, 132013, China, 86 432 62166000.ORCID http://orcid.org/0009-0008-7001-9758
Rui LiDepartment of Nursing, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.ORCID http://orcid.org/0000-0002-9285-3005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic heart failure (CHF) is a major chronic condition in the context of global population aging and is associated with high prevalence, frequent rehospitalization, and high mortality. Self-management is widely recognized as an important factor influencing prognosis and quality of life among patients with CHF. Nurse-led eHealth interventions have been increasingly used in postdischarge CHF management and have shown potential for improving adherence and health-related behaviors. However, existing studies have predominantly focused on objective outcomes, and limited systematic synthesis has examined patients' subjective experiences, which may restrict the patient-centered optimization and sustainable implementation of these interventions. Objective: This study aimed to systematically synthesize patients' experiences of nurse-led eHealth interventions for CHF, identify facilitators and barriers to engagement and implementation, and inform the patient-centered optimization of intervention design through a qualitative systematic review and meta-synthesis. Methods: This qualitative systematic review and meta-synthesis was conducted in accordance with the Joanna Briggs Institute methodology for qualitative systematic reviews. A comprehensive search was performed in PubMed, Web of Science, Embase, the Cochrane Library, CINAHL, CNKI, WanFang, and VIP from database inception to April 30, 2026, supplemented by manual searches of the reference lists of the included studies. Following methodological quality appraisal, the findings of the included studies were extracted and synthesized using thematic synthesis. Results: A total of 23 studies involving 424 patients with CHF were included, comprising 17 qualitative studies and 6 mixed methods studies. Four synthesized themes and 12 subthemes were generated: (1) patient empowerment and enhanced self-management, (2) sense of security and continuity of care under professional support, (3) variations in acceptance and emotional responses, and (4) barriers and challenges in implementing eHealth interventions. Conclusions: Nurse-led eHealth interventions may provide important support for CHF management from the patient perspective by promoting empowerment and extending care support beyond hospital settings. The findings suggest that future intervention design should better address patient heterogeneity, technological usability, and long-term sustainability. Further efforts are needed to strengthen individualized adaptation and technological optimization to enhance the accessibility, acceptability, and patient-centered implementation of these interventions.

Indexed as

Heart FailureTelemedicineChronic DiseaseDigital HealthHumansQualitative Researchchronic heart failureeHealthmeta-synthesisnurse-ledpatient experiencequalitative researchsystematic review

Identifiers

PMID42406878
PMCPMC13335749

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.