# Mobile apps, AI, and teletherapy: a comprehensive review of digital mental health tools for nurses

**Authors:** Weiwei Huang, Yan Xing, Feng Zhao, Yingying Wang

PMC · DOI: 10.3389/fpubh.2025.1686766 · Frontiers in Public Health · 2026-01-05

## TL;DR

Digital mental health tools like apps and teletherapy can help nurses manage stress and burnout, but challenges like access and privacy remain.

## Contribution

This paper reviews recent DMHIs tailored for nurses and highlights strategies for improving their adoption and effectiveness.

## Key findings

- DMHIs can reduce anxiety, depression, and burnout among nurses.
- Barriers like unequal access and privacy concerns hinder widespread adoption.
- Involving nurses in tool design improves accessibility and integration.

## Abstract

Chronic understaffing, workplace violence, moral distress, rotating shifts, and administrative burdens have created a global mental health crisis for nurses. Around half to two-thirds of nurses report symptoms of burnout, and large surveys have found high levels of depression and anxiety among nursing staff. The COVID-19 pandemic exacerbated these issues, increasing absenteeism, turnover, and error rates. Barriers to care—such as stigma, cost, and limited access in rural areas—mean that many nurses remain untreated. Digital mental health interventions (DMHIs) offer scalable, flexible, and often anonymous support tailored to nurses’ schedules and risks. These include teletherapy platforms, AI-driven chatbots and support systems, mobile mental health apps, and hybrid digital-human models. Recent studies (2020–2025) suggest DMHIs can reduce anxiety, depression, and burnout while improving resilience, job satisfaction, and retention. However, obstacles such as unequal access, variable digital literacy, privacy concerns, and limited long-term evidence slow adoption. This review synthesizes current research on DMHI types and efficacy, and examines factors affecting their accessibility and integration into nursing practice. We also discuss cultural and ethical considerations and strategies for involving nurses in designing these tools. Our analysis identifies gaps and opportunities for developing nurse-centered digital mental health solutions that strengthen the workforce and improve patient care.

## Linked entities

- **Diseases:** depression (MONDO:0002050), anxiety (MONDO:0005618)

## Full-text entities

- **Diseases:** burnout (MESH:D002055), mental (MESH:D008607), anxiety (MESH:D001007), depression (MESH:D003866), COVID-19 (MESH:D000086382), moral distress (MESH:D013313)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12812898/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12812898/full.md

## References

228 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812898/full.md

---
Source: https://tomesphere.com/paper/PMC12812898