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Cited by 12Telemedicine and Telehealth ImplementationCancer survivorship and careMobile Health and mHealth Applications

Efficacy and results of virtual nursing intervention for cancer patients: A systematic review and meta-analysis

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Fang, Hui, Sun, Yajun, Yu, Dongfeng, Xu, Yuhong·2024·Asia-Pacific Journal of Oncology Nursing
DOI 10.1016/j.apjon.2024.100515PMC PMC11267009
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Abstract

Objective: Virtual nursing interventions, which use virtual reality and artificial intelligence technology to provide remote care for patients, have become increasingly common in cancer treatment, especially during the COVID-19 pandemic. This study was to evaluate the efficacy of virtual nursing interventions for cancer patients in contrast to conventional, in-person care. Methods: Eight randomized controlled trials (RCTs) contrasted virtual nursing with conventional techniques that satisfied the inclusion criteria were found after a thorough search across databases including PubMed, Web of Science, CINAHL, EMBASE, the Cochrane Library, Scopus, and APA PsycINFO. RevMan 5.3 software was utilized for data analysis after the included literature's quality was assessed and the intended consequence indicators were extracted. Results: = 0.04). Virtual nurse interventions provide cancer patients with important support, particularly when access to in-person care is limited. In light of the many demands that cancer patients have, further research is required to overcome implementation issues and provide fair access to virtual treatment. Conclusions: All things considered, virtual nursing shows potential as an adjunctive element of all-inclusive cancer care delivery models, deserving of further investigation and thoughtful incorporation into healthcare systems.

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  • Emerging evidence suggests that AI-enabled applications can improve operational efficiency, clinical decision-making, patient triage, scheduling, and treatment planning when supported by appropriate governance, infrastructure, and workforce competencies.

    “Similarly, emerging evidence suggests that AI-enabled applications can improve operational efficiency, clinical decision-making, patient triage, scheduling, and treatment planning when supported by appropriate governance, infrastructure, and workforce competencies”

    From A Scoping Review of Implemented Innovations in Cancer Care: Implications for Pan-Canadian Scaling (2026) · cites this paper as [52]

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Authors
Fang, H., Sun, Y., Yu, D., & Xu, Y.
Affiliations
Hangzhou Cancer Hospital (CN)
Corresponding author
  • Fang, Hui
  • Sun, Yajun
  • Yu, Dongfeng
  • Xu, Yuhong
ORCID
Venue
Asia-Pacific Journal of Oncology Nursing
Publisher
Elsevier BV
Published
2024-07
Volume
11
Issue
7
Pages
100515
ISSN
2347-5625 (ISSN-L)
DOI
10.1016/j.apjon.2024.100515
PMC
PMC11267009
OpenAlex
W4396887697
Cited by
12
References
65
Citations by year
2026: 8 · 2025: 4
FWCI
1.06
Type
journal article
Language
en
Open access
Licence
Locations
  • Asia-Pacific Journal of Oncology Nursing (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
virtual nursing, virtual reality, artificial intelligence, cancer patients, remote care, telemedicine, COVID-19 pandemic

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