Martin Heesacker1, Caroline Perez2, Molly S Quinn3, Sherry Benton3. 1. Department of Psychology, University of Florida, Gainesville, Florida. 2. Department of Counseling Psychology and Community Services, University of North Dakota, Grand Forks, North Dakota. 3. TAO Connect, Inc., St. Petersburg, Florida.
Abstract
OBJECTIVE: This article reviews research on computerized and computer-assisted psychological assessment and psychotherapy for college and university students. METHOD: Published reviews of outcome research on the topic are reviewed, along with individual clinical trials and other relevant studies not covered by reviews, as well as reviews of closely-related research. RESULTS: Computer-assisted assessment and psychotherapy have proven effective with collegians across samples, nations, and presenting concerns. CONCLUSIONS: Currently-available digital technologies can address these mental health service delivery challenges: cost, limited human resources, failure of students to seek help, stigmatization of collegians seeking help, premature termination, inadequate process and outcome data to assess and improve treatment effectiveness, and lack of real-time data-based treatment selection.
OBJECTIVE: This article reviews research on computerized and computer-assisted psychological assessment and psychotherapy for college and university students. METHOD: Published reviews of outcome research on the topic are reviewed, along with individual clinical trials and other relevant studies not covered by reviews, as well as reviews of closely-related research. RESULTS: Computer-assisted assessment and psychotherapy have proven effective with collegians across samples, nations, and presenting concerns. CONCLUSIONS: Currently-available digital technologies can address these mental health service delivery challenges: cost, limited human resources, failure of students to seek help, stigmatization of collegians seeking help, premature termination, inadequate process and outcome data to assess and improve treatment effectiveness, and lack of real-time data-based treatment selection.