Evidence map›Paper›PMID 39707313›Full record

ArticleBMC palliative care2024

A scoping review of digital technology applications in palliative care.

YinHu Tan, Xue Liang, Wei Ming, HuiMin Xing, Yang Wang, Yan Gao

Abstract readScoping Review
In one paragraph

Article in BMC palliative care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

6 authors.

YinHu TanChangchun University of Chinese medicine, Changchun, Jilin Province, China.
Xue LiangThe Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China.
Wei MingThe Third Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
HuiMin XingZouping Traditional Chinese Medicine Hospital, Binzhou, Shandong Province, China.
Yang WangChangchun University of Chinese medicine, Changchun, Jilin Province, China. wangyanglml@163.com.
Yan GaoAlexander Hospital of National University Hospital System, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the current era of rapid technological development, digital technology is progressively transforming the medical field. In palliative care, its integration is an inevitable trend, offering new possibilities for improving care delivery and patient outcomes.

objectiveThis study aimed to review the application of digital technologies in palliative care, focusing on their advantages, challenges, and measurable impacts across diverse care settings.

methodsA scoping review was conducted, evaluating studies published between January 1, 2000, and August 1, 2024. Searches were performed across PubMed, CINAHL, Web of Science, Scopus, and the Cochrane Library. Original studies assessing digital interventions within palliative care settings were included. Data extraction included study design, sample size, setting, intervention type, and outcomes. Methodological quality was appraised using appropriate tools for randomized controlled trials (RCTs), non-randomized studies, mixed-methods studies, and qualitative studies. Two independent reviewers conducted the data extraction and quality appraisal, resolving disagreements through discussion.

resultsTwenty-four studies were included, examining digital technologies such as computer systems, virtual reality (VR), and wearable devices. Key interventions supported information provision, symptom monitoring, psychological support, and communication feedback. Digital tools demonstrated positive impacts on pain management, symptom distress, quality of life, and patient acceptability. Despite methodological strengths in most studies, limitations such as small sample sizes and inconsistent outcome measures were noted.

conclusionDigital technologies in palliative care demonstrate significant potential to improve patients' quality of life and alleviate symptom burden through remote monitoring, real-time feedback, and personalized interventions. These innovations address limitations of the traditional biomedical model, enhancing the accessibility and overall quality of palliative care.

Indexed as

Digital TechnologyPalliative CareHumansComputersDigital technologyPalliative careVRWearable device

Identifiers

PMID39707313
PMCPMC11662828

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.