ArticleBMJ open2024
Mapping an evidence-based end-of-life care framework for older adults in Chinese nursing homes: protocol for a scoping review.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Development of a Quality Assessment Index System for Palliative Care Services in Chinese Nursing Homes: A Modified Delphi and Analytic Hierarchy Process Study.Journal of nursing management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEnd-of-life care is essential for older adults aged ≥60, particularly those residing in long-term care facilities, such as nursing homes, which are known for their home-like environments compared with hospitals. Due to potential limitations in medical resources, collaboration with external healthcare providers is crucial to ensure comprehensive services within these settings. Previous studies have primarily focused on team-based models for end-of-life care in hospitals and home-based settings. However, there is a lack of sufficient evidence on practices in such facilities, particularly for Chinese older adults. The aim of this scoping review is to map the existing literature and inform the development of an appropriate care framework for end-of-life care in nursing homes. The focus of this article will be on the scope of services, guidelines for decision making, roles within interdisciplinary teams, and the practical feasibility of care provision. METHODS AND ANALYSIS: A systematic search will be conducted across nine electronic databases: PubMed, Scopus, EMBASE, Cochrane, PsycINFO, ERIC, CINAHL, China National Knowledge Infrastructure (CNKI), and Wanfang Data. The search will identify literature published in English and Chinese from January 2012 onwards. Articles will be selected based on their relevance to older adults aged ≥60 with disabilities or life-threatening chronic conditions receiving end-of-life care in nursing homes or similar settings. The data extraction process will be guided by the Canadian Hospice Palliative Care Association model (CHPCA) and the Respectful Death model. Qualitative data analysis will be performed using a framework method and thematic analysis, employing both inductive and deductive approaches, with three reviewers participating in the review process. ETHICS AND DISSEMINATION: Ethical approval is not required because the data for this review is obtained from selected publicly available articles. The results will be disseminated through publications in peer-reviewed journals and presented at relevant conferences. Furthermore, the findings will be shared with policymakers and healthcare professionals engaged in end-of-life care to inform practice and decision making. STUDY REGISTRATION: The review protocol has been registered on osf.io (https://osf.io/3u4mp).
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Registered trials
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.