LEVERAGING MENTAL HEALTH CARE THROUGH ARTIFICIAL INTELLIGENCE

Authors

  • MARISSA C. ESPERAL

Abstract

This study assessed the impact of AI-assisted mental health care on adults experiencing symptoms of anxiety and depression. It tested the hypothesis that there is no significant effect of AI-assisted mental health care on the symptoms experienced by the selected clients. A mixed-method combined surveys, pre-test-post-test analysis, and brief interviews to collect data. A total of 97 adults experiencing symptoms of anxiety and depression voluntarily signed up and availed of the AI-assisted mental health care. Google Forms questionnaires were used to assess the impact of the services, while pre-test and post-test results from GADT and BD-II served as primary data, analyzed using percentage, weighted mean, and t-test for dependent means. Findings showed that AI-assisted mental health care has significant positive effect on the psychological well-being of adults experiencing anxiety and depression. Collaboration with government and non-government agencies is recommended for the broader implementation of AI-assisted mental health care for other individuals in need.

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How to Cite

MARISSA C. ESPERAL. (2025). LEVERAGING MENTAL HEALTH CARE THROUGH ARTIFICIAL INTELLIGENCE. TPM – Testing, Psychometrics, Methodology in Applied Psychology, 32(S7 (2025): Posted 10 October), 2696–2699. Retrieved from https://tpmap.org/submission/index.php/tpm/article/view/3826