Evidence map›Paper›PMID 41603357›Full record

ArticleInternational journal of mental health nursing2026

Co-Designing End-of-Life Care for People With Pre-Existing Severe Mental Illness: Insights From Multiple Stakeholder Consultations.

Jialiang Cui, Cong Zheng, Cheryl Chi-Yan Yeung, Helen Yue-Lai Chan

Abstract read
In one paragraph

Article in International journal of mental health nursing, 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

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

4 authors.

Jialiang CuiDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-8708-1947
Cong ZhengDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0009-0006-6645-7486
Cheryl Chi-Yan YeungThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-7392-9441
Helen Yue-Lai ChanThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0003-4038-4654

Funding

The Hong Kong Jockey Club Charities Trust 2024-0088-011
6 · The paper itself

Abstract

People with severe mental illness (SMI) experience significant health disparities, and their end-of-life care remains underdeveloped. Employing a co-design approach, this study engaged a range of stakeholders in Hong Kong, including people with SMI, their family members and professionals in mental health and palliative care, to identify service gaps, challenges and opportunities for improving end-of-life care for this population. Findings highlighted the suboptimal state of end-of-life care for people with SMI and the underlying challenges at individual, organisational and community levels, including limited knowledge of end-of-life care, low help-seeking motivation, communication difficulties, limited support networks, insufficient on-site medical support for end-of-life care, unclear guidelines for dying-in-place, inadequate collaboration between medical and social sectors, mental health stigma, insufficient legal support and cultural taboo surrounding death. Recommendations were co-developed with participants to inform the design of person-centred, contextually responsive models that promote equitable and dignified end-of-life care for people with SMI.

Indexed as

Mental DisordersTerminal CareHong KongHumansPalliative Care

Identifiers

PMID41603357
PMCPMC12848958

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.