Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 4, 2024
Open Peer Review Period: Dec 5, 2024 - Jan 30, 2025
Date Accepted: Jan 20, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review

Wu Y, Zhong C, Luo X, Tan M, Chi J, Guo B, Tang J, Guo Z, Deng S, Zhang Y

Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review

J Med Internet Res 2025;27:e69621

DOI: 10.2196/69621

PMID: 39984165

PMCID: 11890151

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Digital Health Interventions to Improve Mental Health in Cancer Patients: An Umbrella Review

  • Yanni Wu; 
  • Chuhan Zhong; 
  • Xian Luo; 
  • Miaoqin Tan; 
  • Jing Chi; 
  • Bingqian Guo; 
  • Jianyao Tang; 
  • Zihan Guo; 
  • Shisi Deng; 
  • Yujie Zhang

ABSTRACT

Background:

Mental health plays a key role across the cancer care continuum, from prognosis and active treatment to survivorship and palliative care. Digital health technologies offer an appealing, cost-effective tool to address psychological needs.

Objective:

This umbrella review aimed to summarize and evaluate the available evidence on the efficacy of digital health interventions for improving mental health and psychosocial outcomes for populations with cancer.

Methods:

Literature searches were conducted in Embase, PsycINFO, PubMed, CINAHL, the Cochrane Library, and Web of Science from their inception to February 4, 2024. Systematic reviews (with or without meta-analysis) investigating the efficacy of digital health interventions for psychosocial variables in cancer patients were included. Quality was assessed using the AMSTAR-2 tool.

Results:

In total, 78 systematic reviews, 45 (57ยท7%) of which were meta-analyses, were included in this review. Diverse delivery modalities and types of digital interventions were identified in the reviews, with website and mobile application being the most commonly used. Among the various symptoms, depression was most frequently addressed, followed by QoL, anxiety, fatigue, and distress. The strength and credibility of evidence in the included reviews were significantly heterogeneous. The qualities of the reviews ranged from low to moderate. Globally, digital health interventions were shown to be effective for mental health in patients with cancer.

Conclusions:

Taken together, Digital health interventions appear to be effective at improving mental health in cancer patients. Various gaps were identified, such as little research specifically focusing on elderly cancer patients, a scarcity of reporting high-precision emotion management, and insufficient attention to other certain mood indicators. Further exploration using standardized and rigorous approaches was required to fully capitalize on the benefits of digital health interventions in psycho-oncology care. Clinical Trial: PROSPERO registration number: CRD42024565084


 Citation

Please cite as:

Wu Y, Zhong C, Luo X, Tan M, Chi J, Guo B, Tang J, Guo Z, Deng S, Zhang Y

Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review

J Med Internet Res 2025;27:e69621

DOI: 10.2196/69621

PMID: 39984165

PMCID: 11890151

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.