Evidence map›Paper›PMID 42558524›Full record

ArticleFrontiers in public health2026

Impact of WeChat public platform-based education and training on community nurses' attitudes toward death and death coping skills: a prospective multicenter single-group pre-post study.

Chi Zhang, Qiyan Peng, Xinting Yang, Xiaoling Li

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Chi ZhangDepartment of Cardiology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu, China.
Qiyan PengSchool of Nursing and Health Care, Leshan Vocational & Technical College, Leshan, China.
Xinting YangWound Therapy Center, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu, China.
Xiaoling LiWest China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Death education is relevant to end-of-life nursing care, yet community nurses in primary care often receive little structured preparation in this area. This study developed a WeChat public platform-based death education program through expert consultation and evaluated changes in community nurses' attitudes toward death and death coping skills before and after the program. Methods: We conducted a prospective before-and-after study in 10 community health centers in Chengdu, China, using a single-group design. The program was developed through two rounds of Delphi consultation and delivered through the WeChat public platform over 2 months. Participants completed the Death Attitude Profile-Revised (DAP-R) and Coping with Death Scale (CDS) before and after training. For paired pre-post comparisons, variables with normally distributed difference scores were examined with paired-samples Results: Seven experts completed both Delphi rounds, with response rates of 100% and authority coefficients of 0.922 and 0.929, respectively. The final program comprised five modules and 32 items. A total of 129 community nurses completed the two-month WeChat-based death education program and both the pretest and posttest assessments. After training, fear of death and death avoidance scores were lower (both Conclusion: The WeChat-based program was associated with reduced fear and avoidance of death and improvements in several dimensions of perceived death-coping ability. The absolute increase in the overall CDS mean item score was modest, and the single-group design prevents causal attribution. Controlled studies with longer follow-up and performance-based outcomes are needed.

Indexed as

Adaptation, PsychologicalAttitude of Health PersonnelAttitude to DeathNurses, Community HealthAdultChinaCoping SkillsDelphi TechniqueFemaleHumansMaleMiddle AgedProspective Studiesattitude to deathbefore-and-after studycommunity health nursingcoping skillshealth educationmobile applications (WeChat)

Identifiers

PMID42558524
PMCPMC13437695

What OpenQuestion holds

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LicenceCC BY
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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.