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Prevalence, Digital Tools, and Management Strategies for Depression in Medical Students: A Narrative Review
Yuan Ren1, Shikai Liang1, Renzhi Wang2
1Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China.
Advances in Medical Education and Practice
|June 19, 2026
Summary
Medical students face high depression rates due to academic stress. Digital tools and mental health education are key to early detection and effective management, improving student well-being.
Area of Science:
- Medical Education
- Mental Health
- Digital Health
Background:
- Medical students report high depression rates linked to academic rigor and identity challenges.
- Existing detection and management strategies for student depression are often insufficient.
Purpose of the Study:
- To review current evidence on depression prevalence, recognition, and management in medical students.
- To explore the role of digital identification tools and competence-based mental health education.
Main Methods:
- A narrative review of studies on medical student depression.
- Inclusion of research on prevalence, digital interventions, and educational reforms.
Main Results:
- Stigma, poor training, and inconsistent protocols impede timely depression identification.
- Digital tools offer scalable solutions but face privacy and access challenges.
- Integrating mental health competence into curricula is crucial for student well-being.
Conclusions:
- Coordinated strategies involving digital solutions, competence training, and supportive environments are needed.
- Systemic improvements can enhance depression recognition and management for medical students.
- Addressing student mental health supports academic success and professional development.
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