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Dataset Information

Trends in digital mental health interventions: A 20-year bibliometric analysis.


ABSTRACT:

Background

The rising prevalence of mental health disorders such as depression and anxiety challenges traditional treatments limited by resource shortages, poor accessibility, and low adherence. Digital health technologies-particularly digital mental health interventions-offer innovative, scalable, and personalized solutions. Mobile health applications, online cognitive behavioral therapy (CBT), and AI-driven tools are becoming essential in mental health care.

Methods

This study employs bibliometric methods to examine research trends and thematic evolution in digital mental health self-management interventions, using data retrieved from the Web of Science Core Collection (WoSCC). CiteSpace, VOSviewer, and Bibliometrix were applied to quantify research output, collaboration n

SUBMITTER: Zhang B 

PROVIDER: S-EPMC12663068 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature