Evidence map›Paper›PMID 40811669›Full record

SynthesisJMIR cancer2025

Digital Interventions and Mental Health Outcomes in Patients With Cancer: Systematic Review and Meta-Analysis.

Zixuan Wu, Feifei Luo, Siyuan Wang, Xinyu Hu, Meifang Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
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

5 authors.

Zixuan WuBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID 0009-0007-1819-6573
Feifei Luo *Division of Social Sciences, Duke Kunshan University, 8 Duke Avenue, Jiangsu, Suzhou, 215316, China, 86 051236657105.ORCID 0009-0006-5083-3387
Siyuan Wang *Division of Social Sciences, Duke Kunshan University, 8 Duke Avenue, Jiangsu, Suzhou, 215316, China, 86 051236657105.ORCID 0009-0001-4115-2049
Xinyu HuDivision of Natural and Applied Sciences, Duke Kunshan University, Suzhou, China.ORCID 0009-0005-6840-4364
Meifang ChenDivision of Social Sciences, Duke Kunshan University, 8 Duke Avenue, Jiangsu, Suzhou, 215316, China, 86 051236657105.ORCID 0000-0001-7853-4174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rising cancer rates have amplified psychiatric and psychosocial burdens, with 35%-40% of patients exhibiting diagnosable psychiatric disorders. While digital mental health interventions (DMHIs) present potential solutions for improving emotional well-being in this population, evidence remains fragmented and lacks clarity regarding optimal implementation strategies. This study evaluates the efficacy of digital interventions on mental health outcomes in patients with cancer, with particular focus on intervention duration and stakeholder involvement as moderating factors. Objective: This study aims to (1) characterize digital interventions targeting mental health outcomes in patients with cancer; (2) quantify their effectiveness in reducing anxiety and depression; and (3) examine whether intervention duration and stakeholder involvement moderate treatment outcomes. Methods: This systematic review and meta-analysis followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement guidelines and was retrospectively registered in PROSPERO on May 25, 2025 (CRD420251058005). A total of 8 databases (Cochrane Central Trials Registry, Web of Science, Scopus, PubMed, PsycINFO, Global Health, Embase, and Medline) were searched from inception to 2024. Eligible randomized controlled trials evaluated digital interventions for mental health in patients with cancer. Two reviewers independently screened studies, extracted data, and assessed risk of bias using the Cochrane Risk of Bias Tool 2.0. Random-effects meta-analyses calculated standardized mean differences (SMDs). Pooled results were reported as the odds ratio and 95% CI. The heterogeneity was assessed with the I² test (%). Subgroup analyses explored the potential effects of intervention duration and stakeholder involvement. Sensitivity analyses and publication bias assessments were performed to ensure the robustness of findings. Results: Twenty-two randomized controlled trials were included in the review. The geolocation involves 4 continents worldwide: Asia (n=9), Europe (n=5), North America (n=6), and Oceania (n=2). Interventions comprised meditation or mindfulness (n=3), education (n=8), self-management (n=11), physical exercise (n=4), and patient community communication (n=8). Twelve studies were included in the meta-analysis. Overall, digital interventions showed nonsignificant effects on depression (SMD -0.48, 95% CI -1.00 to 0.03; P=.07; 9 studies) or anxiety (SMD -0.61, 95% CI -1.29 to 0.06; P=.08; 8 studies) with substantial heterogeneity (I2>90%). Subgroup analyses revealed interventions (<1 month) significantly reduced anxiety (SMD -0.73, 95% CI -1.42 to -0.04; P=.04), while interventions (1-2 months) reduced depression (SMD -0.18, 95% CI -0.35 to -0.01; P=.04). Interventions showed no statistically significant differences when stratified by stakeholder involvement. Sensitivity analyses excluding 1 outlier yielded significantly lower heterogeneity but preserved unchanged overall and subgroup patterns. Conclusions: While DMHIs overall showed no effect on anxiety or depression interventions, exploratory analyses suggest potential benefits of duration-tailored approaches. High heterogeneity and methodological limitations indicate that DMHIs may be most effective when integrated into personalized care models rather than standalone treatments. Future research should use standardized outcomes and investigate mechanisms underlying potential duration-dependent efficacy.

Indexed as

AnxietyDepressionMental HealthNeoplasmsHumansRandomized Controlled Trials as TopicTelemedicineanxietycancer caredepressiondigital healthdigital interventiondigital literacyefficacyhealth informaticsmental healthmeta-analysisPRISMApsychiatricpsychosocial burdenqualitativesubgroup analysissystematic reviewtechnologies

Identifiers

PMID40811669
PMCPMC12352589

What OpenQuestion holds

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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.