Evidence map›Paper›PMID 40281517›Full record

ArticleBMC palliative care2025

End-of-life care in rural China: the crucial role and challenges of village doctors.

Changhui Song, Min Feng, Hui Xie

Abstract read
In one paragraph

Article in BMC palliative care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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.

Changhui SongResearch Center on Social Work and Social Governance, Henan Normal University, Xinxiang, Henan, China.ORCID http://orcid.org/0000-0003-1043-6812
Min FengCollege of Social Affairs, Henan Normal University, Xinxiang, Henan, China.
Hui XieJoseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, 1240 N 10th St, 54201, Milwaukee, WI, USA. sphinx.hui@gmail.com.ORCID http://orcid.org/0000-0003-2788-4064

Funding

2024 Henan Province Soft Science General Project 242400410521
6 · The paper itself

Abstract

objectiveQuality hospice and palliative care are particularly challenging in rural China. This qualitative study aimed to explore the critical role of village doctors in the end-of-life care of rural China amidst challenges posed by an aging population.

methodsForty-six semistructured interviews were conducted in 38 villages across Henan and Shandong Provinces in China. Data were analyzed via thematic analysis.

resultsVillage doctors with at least five years of medical practice were recruited from the student interviewers' hometowns. Among the 46 village doctors aged 35-78 years, 32 respondents were male (69.6%), with an average duration of professional practice of 29.2 years. Five thematic findings, guided by the multidimensional supportive care needs model, were identified, including symptom management as central to end-of-life care, verbal consolation as ancillary services, the absence of spiritual care, social support and economic assistance, and a lack of informational resources and support. Village doctors have focused primarily on symptom management and basic medical care and have contended with limited resources, strict regulations on narcotic drugs, and cultural taboos against death. Serving as frontline healthcare providers, they navigated complex familial decision-making, offered indirect psychological support, and often avoided direct discussions about terminal prognoses.

conclusionDespite these challenges, village doctors' deep community roots and trusted relationships ensure continuity and cost-effective end-of-life care. Enhancing their role through improved training and policy support could markedly optimize care quality and accessibility in rural China, addressing disparities and promoting dignified care for patients and their families.

Indexed as

PhysiciansTerminal CareAdultAgedChinaFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchRural Health ServicesRural PopulationDeath anxietyEnd-of-life carePalliative careQualitative studyRural ChinaVillage Doctors

Identifiers

PMID40281517
PMCPMC12023612

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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.