Evidence map›Paper›PMID 40391230›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Shared-care management standards of palliative care in Chinese adults: A Delphi study.

Junchen Guo, Linghao Zeng, Yunyun Dai, Xianghua Xu, Yonghong Hu, Yongyi Chen

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 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.

Junchen GuoDepartment of Palliative Care, Hunan Cancer Hospital, Changsha, China.
Linghao ZengSchool of Nursing, University of South China, Hengyang, China.
Yunyun DaiHealth Services Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Xianghua XuDepartment of Palliative Care, Hunan Cancer Hospital, Changsha, China.
Yonghong HuDepartment of Palliative Care, Hunan Cancer Hospital, Changsha, China.
Yongyi ChenDepartment of Palliative Care, Hunan Cancer Hospital, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Shared-care management (SCM) in palliative care is a collaborative model where shared care teams work in partnership with patients' original health care providers, employing multimodal strategies including consultations and coordinated referrals to enhance quality of care for patients. The evidence regarding its implementation remains fragmented and lacks detailed explanations, which impedes its application in clinical practice. This study aimed to develop a SCM standard of palliative care in adults in mainland regions of China. Methods: Initial standard framework identification was achieved via literature evidence summary. From April to August 2024, two rounds of Delphi method was conducted with the purposes of modifying the standard. To establish consensus, items with a mean importance score > 3.50 and the coefficient of variation of item scores < 0.25 were retained. Results: The first round involved 35 experts, with a follow-up participation of 33 in the second round. The Kendall concordance coefficients of the two rounds of experts consultation were 0.128 and 0.134, respectively (all Conclusions: The establishment of the standard in this study provides a critical framework that can be adopted by health care institutions to ensure that SCM services are delivered uniformly and effectively in mainland regions of China.

Indexed as

Delphi techniqueEnd of life carePalliative careShared-care management

Identifiers

PMID40391230
PMCPMC12088734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.