Telehealth and Depression: A meta-analysis
Presenter Hometown
Richmond
Major
Psychology
Department
Psychology
Degree
Undergraduate
Mentor
Richard Osbaldiston
Mentor Department
Psychology
Recommended Citation
Moore, Emma, "Telehealth and Depression: A meta-analysis" (2019). University Presentation Showcase Event. 14.
https://encompass.eku.edu/swps/2019/undergraduate/14
Abstract
Telehealth provides mental health care services through technological modalities. This research aims to assess if telehealth has equivalent effects on depression as treatment-as-usual. A meta-analysis was done by locating 20 studies from PsycInfo. Each study examined the effects of telehealth therapy on depression. Three different study designs were found; 1) pre-post, 2) treatment-control groups, and 3) mixed designs. The results showed an overall effect size of d = 0.69, which is a moderate effect size. For each study design, varying effects were present. For pre-post treatment, a strong effect size was found (d = 0.88). For treatment-control designs, a moderate effect size was found (d = 0.55). And for a mixed design, a strong effect size was found (d = 0.71). It was concluded that telehealth compared to treatment-as-usual was a more effective treatment option, and with the world becoming more technologically inclined, it is an increasingly useful tool.
Presentation format
Poster
Telehealth and Depression: A meta-analysis
Telehealth provides mental health care services through technological modalities. This research aims to assess if telehealth has equivalent effects on depression as treatment-as-usual. A meta-analysis was done by locating 20 studies from PsycInfo. Each study examined the effects of telehealth therapy on depression. Three different study designs were found; 1) pre-post, 2) treatment-control groups, and 3) mixed designs. The results showed an overall effect size of d = 0.69, which is a moderate effect size. For each study design, varying effects were present. For pre-post treatment, a strong effect size was found (d = 0.88). For treatment-control designs, a moderate effect size was found (d = 0.55). And for a mixed design, a strong effect size was found (d = 0.71). It was concluded that telehealth compared to treatment-as-usual was a more effective treatment option, and with the world becoming more technologically inclined, it is an increasingly useful tool.
