Evidence map›Paper›PMID 40800567›Full record

ArticleJournal of multidisciplinary healthcare2025

The Intervention of Medical Social Workers: Humanistic Care of Cardiovascular Disease Patients.

Hongjuan Deng, Zhiyu Chen, Demei Yang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. 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

3 authors.

Hongjuan DengDepartment of Cardiology, The Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai, People's Republic of China.ORCID 0009-0007-9665-5202
Zhiyu ChenSchool of Humanities, Social Sciences and Law, University of Dundee, Dundee, UK.
Demei YangDepartment of Cardiology, The Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To explore the implementation pathway and effectiveness of medical social workers and nurses in humanistic care nursing and to evaluate the impact of this collaborative model on patient satisfaction and healthcare resource utilization efficiency in cardiovascular wards. Methods: This study adopted a quasi-experimental pre- and post-test design to implement humanistic care intervention in the cardiovascular ward of a tertiary care hospital in Zhuhai, China, from September to November 2023. A collaborative team consisting of two medical social workers and four charge nurses, based on the three-stage service process of "pre-hospital assessment-hospital care-discharge follow-up", systematically provided four core humanistic care services of "case management, group support, humanistic environment creation, and social resource connection". Researchers used the Chinese version of the Patient Satisfaction with Nursing Care Questionnaire (PSNCQQ) to assess 36 inpatients in pairs, and they collected operational indicators such as average hospitalization days, the ward bed occupancy rate, and number of admissions for comprehensive assessment. Results: Patient satisfaction scores improved from 89.72 (94.44% satisfaction rate) before the intervention to 94.17 (99.12% satisfaction rate) after the intervention, and the paired-samples Conclusion: Humanistic care nursing carried out by medical and social collaboration can effectively improve patient satisfaction, optimize resource allocation, and fill the gap in social support and psychological care in traditional nursing, which has good clinical promotion value.

Indexed as

cardiovascular diseasehumanistic care nursingmedical social workmedical social worker

Identifiers

PMID40800567
PMCPMC12339666

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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.