{"title":"Digital Interventions and Mental Health Outcomes in Cancer Patients: A Systematic Review and Meta-Analysis.","authors":"Zixuan Wu, Feifei Luo, Siyuan Wang, Xinyu Hu, Meifang Chen","doi":"10.2196/64754","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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 cancer patients, with particular focus on intervention duration and stakeholder involvement as moderating factors.</p><p><strong>Objective: </strong>This study aims to (1) characterize digital interventions targeting mental health outcomes in cancer patients; (2) quantify their effectiveness in reducing anxiety and depression; and (3) examine whether intervention duration and stakeholder involvement moderate treatment outcomes.</p><p><strong>Methods: </strong>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 25th (no. CRD420251058005). Eight 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 (RCTs) evaluated digital interventions for mental health in cancer patients. 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% confidence interval (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 robustness of findings.</p><p><strong>Results: </strong>Twenty-two RCTs were included in the review. The geolocation involves four continents worldwide: Asia (n=9), Europe (n=5), North America (n=6), and Oceania (n=2). Interventions comprised meditation/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 non-significant effects on depression (SMD -0.48, 95% CI [-1.00, 0.03], p=0.07; 9 studies) or anxiety (SMD -0.61, 95% CI [-1.29, 0.06], p=0.08; 8 studies) with substantial heterogeneity (I2>90%). Subgroup analyses revealed interventions (<1 month) significantly reduced anxiety (SMD -0.73, 95% CI [-1.42, -0.04], p=0.04), while interventions (1-2 months) reduced depression (SMD -0.18, 95% CI [-0.35, -0.01], p=0.04). Interventions showed no statistically significant differences when stratified by stakeholder involvement. Sensitivity analyses excluding one outlier yielded significantly lower heterogeneity but preserved unchanged overall and subgroup patterns.</p><p><strong>Conclusions: </strong>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 employ standardized outcomes and investigate mechanisms underlying potential duration-dependent efficacy.</p><p><strong>Clinicaltrial: </strong>PROSPERO 2025 CRD420251058005; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251058005.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/64754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
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 cancer patients, 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 cancer patients; (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 25th (no. CRD420251058005). Eight 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 (RCTs) evaluated digital interventions for mental health in cancer patients. 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% confidence interval (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 robustness of findings.
Results: Twenty-two RCTs were included in the review. The geolocation involves four continents worldwide: Asia (n=9), Europe (n=5), North America (n=6), and Oceania (n=2). Interventions comprised meditation/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 non-significant effects on depression (SMD -0.48, 95% CI [-1.00, 0.03], p=0.07; 9 studies) or anxiety (SMD -0.61, 95% CI [-1.29, 0.06], p=0.08; 8 studies) with substantial heterogeneity (I2>90%). Subgroup analyses revealed interventions (<1 month) significantly reduced anxiety (SMD -0.73, 95% CI [-1.42, -0.04], p=0.04), while interventions (1-2 months) reduced depression (SMD -0.18, 95% CI [-0.35, -0.01], p=0.04). Interventions showed no statistically significant differences when stratified by stakeholder involvement. Sensitivity analyses excluding one 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 employ standardized outcomes and investigate mechanisms underlying potential duration-dependent efficacy.
背景:癌症发病率的上升加剧了精神和社会心理负担,35-40%的患者表现出可诊断的精神障碍。虽然数字心理健康干预(DMHIs)为改善这一人群的情绪健康提供了潜在的解决方案,但关于最佳实施策略的证据仍然零散且缺乏清晰度。本研究评估了数字干预对癌症患者心理健康结果的影响,特别关注干预持续时间和利益相关者参与作为调节因素。目的:本研究旨在(1)表征针对癌症患者心理健康结果的数字干预;(2)量化其减轻焦虑和抑郁的有效性;(3)研究干预持续时间和利益相关者参与对治疗结果的影响。方法:本系统评价和荟萃分析遵循PRISMA (Preferred Reporting Items for systematic Reviews and meta-analysis)声明指南,并于5月25日在PROSPERO杂志上回顾性登记。CRD420251058005)。8个数据库(Cochrane Central Trials Registry, Web of Science, Scopus, PubMed, PsycINFO, Global Health, Embase和Medline)从成立到2024年进行了检索。符合条件的随机对照试验(rct)评估了数字干预对癌症患者心理健康的影响。两位审稿人独立筛选研究,提取数据,并使用Cochrane风险偏倚工具2.0评估偏倚风险。随机效应荟萃分析计算标准化平均差异(SMDs)。合并结果以比值比和95%置信区间(CI)报告。采用I²检验(%)评估异质性。亚组分析探讨了干预持续时间和利益相关者参与的潜在影响。进行敏感性分析和发表偏倚评估以确保研究结果的稳健性。结果:共纳入22项随机对照试验。地理位置涉及全球四大洲:亚洲(n=9),欧洲(n=5),北美(n=6)和大洋洲(n=2)。干预措施包括冥想/正念(n=3)、教育(n=8)、自我管理(n=11)、体育锻炼(n=4)和患者社区沟通(n=8)。meta分析纳入了12项研究。总体而言,数字干预对抑郁症无显著影响(SMD = -0.48, 95% CI [-1.00, 0.03], p=0.07;9项研究)或焦虑(SMD -0.61, 95% CI [-1.29, 0.06], p=0.08;8项研究)具有显著的异质性(I2 bb0 90%)。亚组分析揭示了干预措施(结论:虽然DMHIs总体上对焦虑或抑郁干预没有影响,但探索性分析表明,针对持续时间的方法有潜在的益处。高异质性和方法学上的局限性表明,DMHIs在与个性化护理模式相结合时可能比单独治疗更有效。未来的研究应该采用标准化的结果,并调查潜在的依赖于持续时间的疗效机制。临床试验:PROSPERO 2025 CRD420251058005;https://www.crd.york.ac.uk/PROSPERO/view/CRD420251058005。