Evidence map›Paper›PMID 40099801›Full record

ArticleJournal of medical Internet research2025

Promoting Public Engagement in Palliative and End-of-Life Care Discussions on Chinese Social Media: Model Development and Analysis.

Yijun Wang, Han Zheng, Yuxin Zhou, Emeka Chukwusa, Jonathan Koffman, Vasa Curcin

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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

6 authors.

Yijun WangDepartment of Population Health Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-1947-7496
Han ZhengSchool of Information Management, Wuhan University, Wuhan, China.ORCID 0000-0003-4032-4299
Yuxin ZhouCicely Saunders Institute of Palliative Care, King's College London, London, United Kingdom.ORCID 0000-0002-6421-5647
Emeka ChukwusaCicely Saunders Institute of Palliative Care, King's College London, London, United Kingdom.ORCID 0000-0003-2576-8633
Jonathan KoffmanWolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, United Kingdom.ORCID 0000-0001-8513-5681
Vasa CurcinDepartment of Population Health Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-8308-2886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Chinese traditional culture, discussions surrounding death are often considered taboo, leading to a poor quality of death, and limited public awareness and knowledge about palliative and end-of-life care (PEoLC). However, the increasing prevalence of social media in health communication in China presents an opportunity to promote and educate the public about PEoLC through online discussions.

objectiveThis study aimed to examine the factors influencing public engagement in PEoLC discussions on a Chinese social media platform and develop practice recommendations to promote such engagement.

methodsWe gathered 30,811 PEoLC-related posts on Weibo, the largest social media platform in China. Guided by the elaboration likelihood model, our study examined factors across 4 dimensions: content theme, mood, information richness, and source credibility. Content theme was examined using thematic analysis, while sentiment analysis was used to determine the mood of the posts. The impact of potential factors on post engagement was quantified using negative binomial regression.

resultsOrganizational accounts exhibited lower engagement compared to individual accounts (incidence rate ratio [IRR]<1; P<.001), suggesting an underuse of organizational accounts in advocating for PEoLC on Weibo. Posts centered on PEoLC-related entertainment (films, television shows, and books; IRR=1.37; P<.001) or controversial social news (IRR=1.64; P<.001) garnered more engagement, primarily published by individual accounts. An interaction effect was observed between content theme and post mood, with posts featuring more negative sentiment generally attracting higher public engagement, except for educational-related posts (IRR=2.68; P<.001).

conclusionsOverall, organizations faced challenges in capturing public attention and involving the public when promoting PEoLC on Chinese social media platforms. It is imperative to move beyond a traditional mode to incorporate cultural elements of social media, such as engaging influencers, leveraging entertainment content and social news, or using visual elements, which can serve as effective catalysts in attracting public attention. The strategies developed in this study are particularly pertinent to nonprofit organizations and academics aiming to use social media for PEoLC campaigns, fundraising efforts, or research dissemination.

Indexed as

Palliative CareSocial MediaTerminal CareChinaHumansChinaelaboration likelihood modelELMend-of-life carehealth promotionpalliative carepublic engagementsocial mediaWeibo

Identifiers

PMID40099801
PMCPMC11962336

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.