ReviewJMIR cancer2024
Digital Health Psychosocial Intervention in Adult Patients With Cancer and Their Families: Systematic Review and Meta-Analysis.
Review in JMIR cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
22 citing papers in PubMed, 5 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Digital health interventions for psychological and cognitive care in cancer patients and caregivers: A RE-AIM-based systematic review.Applied psychology. Health and well-being · 2026Pooled it
- Digital Health Interventions and Psychosocial Outcomes in Women With Breast Cancer: Systematic Review.JMIR cancer · 2026Pooled it
- Digital Interventions and Mental Health Outcomes in Patients With Cancer: Systematic Review and Meta-Analysis.JMIR cancer · 2025Pooled it
- Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review.Journal of medical Internet research · 2025Pooled it
- Evaluating the effects of e-health interventions on mental health outcomes in individuals with breast cancer: A systematic review.PloS one · 2025Pooled it
- EHealth intervention for quality of life in long-term breast cancer survivors: randomized controlled trial.Journal of the National Cancer Institute · 2026Trial
- Experiences of Informal Caregivers Facing Cancer While Caring for Someone With Dementia: Qualitative Interview Study.JMIR cancer · 2026Article
- A Virtual, Group-Based Expressive Writing Intervention for Survivors of Adolescent and Young Adult Cancer: Protocol for a Single-Arm Feasibility Study.JMIR research protocols · 2026Article
- Technology-based psychosocial education for cancer patients: a systematic review and meta-analysis.Journal of research in nursing : JRN · 2026Article
- Comprehensive evaluation of Medtronic's Butterfly platform, a new audiovisual information material for patient education and shared decision-making in surgical thyroid disease.BMC medical informatics and decision making · 2026Article
- Digital Monitoring of Pre-Exposure Prophylaxis Users Through Electronic Patient-Reported Outcome Measures and Electronic Patient-Reported Experience Measures: Multicenter Prospective Study on Feasibility, Safety, and Predictive Modeling of Digital Engagement.Journal of medical Internet research · 2026Observational
- Feasibility, acceptability and effectiveness of digitally delivered multimodal prehabilitation for cancer patients: A mixed-methods systematic review.PLOS digital health · 2026Article
- The Effects of Digital Health Interventions for Family Members in Intensive Care Units: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Review
- Digital health interventions for perioperative patient-reported outcomes: a network meta-analysis.NPJ digital medicine · 2026Article
- Artificial intelligence to meet the psychosocial needs of cancer patients: a systematic review of randomized controlled trials.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Article
- Scoping review of psychosocial support interventions in oncology nursing: Applications across diverse and underserved cancer populations.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2026Article
- Systematic review and meta-analysis of digital interventions for mental health in cancer patients and survivors.NPJ digital medicine · 2025Article
- Limited Moderating Effect of Podcast Listening on Work Stress and Emotional Exhaustion Among Nurses During the COVID-19 Pandemic: Cross-Sectional Study.JMIR nursing · 2025Article
- Posttreatment health interventions for adult cancer survivors and their families: an integrated review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPatients with cancer and their families often experience significant distress and deterioration in their quality of life. Psychosocial interventions were used to address patients' and families' psychosocial needs. Digital technology is increasingly being used to deliver psychosocial interventions to patients with cancer and their families.
objectiveA systematic review and meta-analysis were conducted to review the characteristics and effectiveness of digital health interventions on psychosocial outcomes in adult patients with cancer and their family members.
methodsDatabases (PubMed, Cochrane Library, Web of Science, Embase, CINAHL, PsycINFO, ProQuest Dissertations and Theses Global, and ClinicalTrials.gov) were searched for randomized controlled trials (RCTs) or quasi-experimental studies that tested the effects of a digital intervention on psychosocial outcomes. The Joanna Briggs Institute's critical appraisal checklists for RCTs and quasi-experimental studies were used to assess quality. Standardized mean differences (ie, Hedges g) were calculated to compare intervention effectiveness. Subgroup analysis was planned to examine the effect of delivery mode, duration of the intervention, type of control, and dosage on outcomes using a random-effects modeling approach.
resultsA total of 65 studies involving 10,361 patients (mean 159, SD 166; range 9-803 patients per study) and 1045 caregivers or partners (mean 16, SD 54; range 9-244 caregivers or partners per study) were included in the systematic review. Of these, 32 studies were included in a meta-analysis of the effects of digital health interventions on quality of life, anxiety, depression, distress, and self-efficacy. Overall, the RCT studies' general quality was mixed (applicable scores: mean 0.61, SD 0.12; range 0.38-0.91). Quasi-experimental studies were generally of moderate to high quality (applicable scores: mean 0.75, SD 0.08; range 0.63-0.89). Psychoeducation and cognitive-behavioral strategies were commonly used. More than half (n=38, 59%) did not identify a conceptual or theoretical framework. Most interventions were delivered through the internet (n=40, 62%). The median number of intervention sessions was 6 (range 1-56). The frequency of the intervention was highly variable, with self-paced (n=26, 40%) being the most common. The median duration was 8 weeks. The meta-analysis results showed that digital psychosocial interventions were effective in improving patients' quality of life with a small effect size (Hedges g=0.05, 95% CI -0.01 to 0.10; I
conclusionsThis study demonstrated the effectiveness of digital health interventions on quality of life, anxiety, and depression in patients. Future research with a clear description of the methodology to enhance the ability to perform meta-analysis is needed. Moreover, this study provides preliminary evidence to support the integration of existing digital health psychosocial interventions in clinical practice.
trial registrationPROSPERO CRD42020189698; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=189698.
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Registered trials
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.