The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality
As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological ad…
The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality: As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention.
Historical evidence reading: the cited study may be limited by its design, population, period, or setting, and later research may report different effects.
Evidence
- Peer-reviewedWorld Psychiatry2021-09-09
- Peer-reviewedJournal of Medical Internet Research2025-04-21
- Peer-reviewedInternational Journal of Eating Disorders2022-08-18
- Peer-reviewedJournal of Medical Internet Research2024-12-12
- Peer-reviewedJournal of Medical Internet Research2022-05-11
Truvace Impact Record TRV-2026-0064, v6: “The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality.” Truvace, 2026-07-12. /record/TRV-2026-0064 (accessed at citation time). sha256 06644ae7c30807db…
Calibration history
Every change to this record since certification, in the open.
Reading revised
Source set updated
Source set updated
Source set updated
Source set updated
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0064 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.