Digital health interventions (DHIs) show promise for the treatment of mental health disorders. However, existing meta-analytical research is methodologically heterogeneous, with studies including a mix of clinical, non-clinical, and transdiagnostic populations, hindering a comprehensive understanding of DHI effectiveness. Thus, we conducted an umbrella review of meta-analyses of randomised controlled trials investigating the effectiveness of DHIs for specific mental health disorders and evaluating the quality of evidence. We searched three public electronic databases from inception to February, 2024 and included 16 studies. DHIs were effective compared with active interventions for schizophrenia spectrum disorders, major depressive disorder, social anxiety disorder, and panic disorder. Notable treatment effects compared with a waiting list were also observed for specific phobias, generalised anxiety disorder, obsessive-compulsive disorder, post-traumatic stress disorder, and bulimia nervosa. Certainty of evidence was rated as very low or low in most cases, except for generalised anxiety disorder-related outcomes, which showed a moderate rating. To integrate DHIs into clinical practice, further high-quality studies with clearly defined target populations and robust comparators are needed.

Crocamo, C., Palpella, D., Cavaleri, D., Nasti, C., Piacenti, S., Morello, P., et al. (2025). Digital health interventions for mental health disorders: an umbrella review of meta-analyses of randomised controlled trials. THE LANCET. DIGITAL HEALTH, 7(8) [10.1016/j.landig.2025.100878].

Digital health interventions for mental health disorders: an umbrella review of meta-analyses of randomised controlled trials

Crocamo, Cristina;Palpella, Dario;Cavaleri, Daniele;Nasti, Christian;Piacenti, Susanna;Morello, Pietro;Villa, Oliviero;Riboldi, Ilaria;Bartoli, Francesco;Carrà, Giuseppe
2025

Abstract

Digital health interventions (DHIs) show promise for the treatment of mental health disorders. However, existing meta-analytical research is methodologically heterogeneous, with studies including a mix of clinical, non-clinical, and transdiagnostic populations, hindering a comprehensive understanding of DHI effectiveness. Thus, we conducted an umbrella review of meta-analyses of randomised controlled trials investigating the effectiveness of DHIs for specific mental health disorders and evaluating the quality of evidence. We searched three public electronic databases from inception to February, 2024 and included 16 studies. DHIs were effective compared with active interventions for schizophrenia spectrum disorders, major depressive disorder, social anxiety disorder, and panic disorder. Notable treatment effects compared with a waiting list were also observed for specific phobias, generalised anxiety disorder, obsessive-compulsive disorder, post-traumatic stress disorder, and bulimia nervosa. Certainty of evidence was rated as very low or low in most cases, except for generalised anxiety disorder-related outcomes, which showed a moderate rating. To integrate DHIs into clinical practice, further high-quality studies with clearly defined target populations and robust comparators are needed.
Articolo in rivista - Review Essay
Digital mental health; Digital health interventions; Mental disorder; Umbrella meta-analysis
English
2-lug-2025
2025
7
8
100878
open
Crocamo, C., Palpella, D., Cavaleri, D., Nasti, C., Piacenti, S., Morello, P., et al. (2025). Digital health interventions for mental health disorders: an umbrella review of meta-analyses of randomised controlled trials. THE LANCET. DIGITAL HEALTH, 7(8) [10.1016/j.landig.2025.100878].
File in questo prodotto:
File Dimensione Formato  
Crocamo et al-2025-The Lancet Digital Health-VoR.pdf

accesso aperto

Descrizione: User License: Creative Commons Attribution – NonCommercial – NoDerivs (CC BY-NC-ND 4.0)
Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 395.96 kB
Formato Adobe PDF
395.96 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/561902
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
Social impact