ArticleNPJ digital medicine2025
Systematic review and meta-analysis of digital interventions for mental health in cancer patients and survivors.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 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
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The effectiveness of digital therapeutics in improving sleep quality: a systematic review and network meta-analysis.BMC medicine · 2026Pooled it
- Evaluating Effectiveness of mHealth Interventions for Rehabilitation in Patients With Head and Neck Cancer: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2026Pooled it
- Symptom management in cancer care: An evolutionary concept analysis for a digitally enabled collaborative framework.Asia-Pacific journal of oncology nursing · 2026Review
- Connected care in a digital world: Engagement and telehealth use in older cancer survivors.Journal of geriatric oncology · 2026Article
- Uncovering the realities of suicidal ideation in older patients following lung cancer diagnosis: an interpretive phenomenological qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Digital health interventions (DHIs) are increasingly used to support mental health for cancer patients and survivors, yet previous reviews have not fully captured all relevant studies. We conducted a systematic review and meta-analysis to evaluate the effectiveness of DHIs in improving mental health outcomes in this population. Six electronic databases were searched, identifying 139 randomised controlled trials across 25 countries involving 19,233 participants. Social media-based (SMD = -0.78, moderate-certainty), mHealth (SMD = -0.68, moderate-certainty), telehealth (SMD = -0.54, low-certainty), virtual reality (SMD = -0.59, moderate-certainty) and combined web-based and telehealth interventions (SMD = -0.26, moderate-certainty) significantly reduced anxiety. For depression, social media-based (SMD = -0.80, moderate-certainty), telehealth (SMD = -0.67, moderate-certainty) and mHealth (SMD = -0.49, low-certainty) showed significant reductions. Psychological distress improved with mHealth (SMD = -0.75, moderate-certainty) and web-based interventions (SMD = -0.28, moderate-certainty). Web-based interventions also improved insomnia (SMD = -0.67, moderate-certainty) and sleep quality (SMD = -0.57, moderate-certainty). These results suggest that DHIs provide mental health benefits for cancer populations. Telehealth, mHealth, and social media programs reduce anxiety and depression, while web-based interventions are beneficial for psychological distress, insomnia, and sleep quality, with added benefits when combined with telehealth. Virtual reality also relieves anxiety symptoms.
Identifiers
What OpenQuestion holds
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.