Evidence map›Paper›PMID 41345868›Full record

ArticleBMC palliative care2025

Application of digital technology intervention in palliative care: a scoping review.

Yan Zhang, Wanqiong Zhou, Chengrui Zhang, Ying Xing, Yawen Liu, Jiayi Sun, Wei Luan

Abstract readScoping Review
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 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

7 authors.

Yan ZhangShanghai University of Traditional Chinese Medicine, Shanghai, 201302, China.
Wanqiong ZhouDepartment of Nursing, Shuguang Hospital affiliated with Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Shanghai, 201302, China.
Chengrui ZhangDepartment of Nursing, Shuguang Hospital affiliated with Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Shanghai, 201302, China.
Ying XingCollege of Nursing, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yawen LiuDepartment of Nursing, Shuguang Hospital affiliated with Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Shanghai, 201302, China.
Jiayi SunDepartment of Nursing, Shuguang Hospital affiliated with Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Shanghai, 201302, China.
Wei LuanDepartment of Nursing, Shuguang Hospital affiliated with Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Shanghai, 201302, China. luanwei_shuguang@126.com.

Funding

Cohort study on the core symptoms of elderly people in-term care institutions based on dynamic symptom networks,2023 Ministry of Education Key Laboratory of Geriatric-term Care Open Fund LNYB-2023-12Shanghai Shenkang Hospital Development Center Project, the fifth batch of standardized management and promotion projects-Acute and Critical Illnesses Integrated Chinese and Medicine Professional Nursing Technique Training Base SHDC22024209
6 · The paper itself

Abstract

backgroundWith advances in technology, digital technology has played an important role in various fields. In palliative care, the application of digital technology interventions has provided new methods for managing symptoms for patients and their families, as well as for the provision of services for healthcare workers.

objectivesTo conduct a scoping review of the literature on the application of digital technology interventions in palliative care and to provide a reference for digital technology interventions and related research.

methodsA systematic search of studies on the application of digital technology interventions in palliative care in China National Knowledge Infrastructure (CNKI), Wanfang, VIP, PubMed, Web of Science, and the Cochrane Library was conducted, with the search period from the establishment of the databases until June 18, 2025. INCLUSION CRITERIA: Chinese or English, patients, caregivers, and healthcare workers as target populations, and the combination of digital technology intervention in palliative care, digital tools are primarily designed for web-based platforms, applications, wearable devices, virtual reality (VR), and Artificial intelligence (AI) decision tools.

resultsTwenty-one articles were included in the analysis. In palliative care, digital technology interventions mainly include short videos, web-based platforms, and VR. The content of the intervention included health education, symptom management, and relaxation experience, and the main outcome indicators were mood, quality of life, pain, symptom-related system, and family social support. The application effect is concentrated on psychological and emotional support, quality of life, symptom improvement, and social, medical, and nursing aspects.

conclusionsTechnology has significant positive effects on the application of palliative care, such as alleviating negative emotions, improving quality of life, and enhancing social support. However, in the application of digital technology in palliative care, the aspects of technology that assist in the guidance of personnel and the support of social funds should be strengthened, so that the application of technology in palliative care can have broader application potential.

Indexed as

Digital TechnologyPalliative CareChinaHumansDigital technologyDigital technology interventionPalliative careScoping reviewVirtual technology

Identifiers

PMID41345868
PMCPMC12797338

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.