ArticleNPJ digital medicine2024
A systematic review and meta analysis on digital mental health interventions in inpatient settings.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The trial behind it
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Who cites it
16 citing papers in PubMed.
- A qualitative analysis of healthcare professionals' experiences with an internet-based emotion regulation intervention added to acute psychiatric inpatient care.BMC psychiatry · 2024Trial
- Design and implementation of PharMe: a mobile application to return pharmacogenomic test results to patients.JAMIA open · 2026Article
- Patients' attitudes and expectations toward a digital inpatient-like psychotherapy concept: a qualitative interview study.BMC psychiatry · 2026Article
- Students' Perspectives on Digital Psychotherapy-Possible Solutions for Digital Inpatient-Like Care Concepts: Qualitative Interview Study.JMIR medical education · 2026Article
- Barriers and Facilitators for the Implementation of an Online Portal in Hospital Mental Health Care: Implementation Study.JMIR formative research · 2026Article
- The long road to routine care: piloting the digital mental health intervention for PTSD "Radius Grow" in a psychiatric residential setting.BMC psychology · 2026Article
- Just-in-Time Adaptive Interventions: Where Are We Now and What Is Next?Annual review of psychology · 2026Review
- Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors.NPJ digital medicine · 2025Article
- The role of prompt, voice, and personality factors in the acceptance and evaluation of AI-generated mindfulness exercises.Scientific reports · 2025Article
- Effectiveness of digital interventions for eight mental disorders: A meta-analytic synthesis.Internet interventions · 2025Review
- E-Mental Health Interventions in Inpatient Care: Scoping Review.Journal of medical Internet research · 2025Article
- Returning to work in the digital age: why smartphone interventions must go further.NPJ digital medicine · 2025Article
- Engaging Stakeholders in the Development of a National Digital Mental Health Strategy: Reflexive Thematic Analysis.Journal of medical Internet research · 2025Article
- E-mental Health in the Age of AI: Data Safety, Privacy Regulations and Recommendations.Alpha psychiatry · 2025Article
- Digital mental health in Italy: findings from the multicentric DIGIT-PSY study.Frontiers in psychiatry · 2025Article
- Resources, support, and integration as potential barriers and facilitators to the implementation of blended therapy in the routine care of inpatients: a qualitative study.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
E-mental health (EMH) interventions gain increasing importance in the treatment of mental health disorders. Their outpatient efficacy is well-established. However, research on EMH in inpatient settings remains sparse and lacks a meta-analytic synthesis. This paper presents a meta-analysis on the efficacy of EMH in inpatient settings. Searching multiple databases (PubMed, ScienceGov, PsycInfo, CENTRAL, references), 26 randomized controlled trial (RCT) EMH inpatient studies (n = 6112) with low or medium assessed risk of bias were included. A small significant total effect of EMH treatment was found (g = 0.3). The effect was significant both for blended interventions (g = 0.42) and post-treatment EMH-based aftercare (g = 0.29). EMH treatment yielded significant effects across different patient groups and types of therapy, and the effects remained stable post-treatment. The results show the efficacy of EMH treatment in inpatient settings. The meta-analysis is limited by the small number of included studies.
Identifiers
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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.