One in ten adults in the U.S. report depression, and thirty-eight percent of those receiving treatment are receiving minimally adequate treatment. Studies show that evidence-based Internet interventions are highly effective in treating depression at a low cost. The aim of this study was to reduce symptoms of depression in subjects through the use of a new, electronic Problem Solving Treatment (ePST). Adult participants with moderate to severe depression symptoms were randomly assigned to either treatment or a wait-list condition. The Beck Depression Inventory-II was used as the primary outcome measure. A Repeated Measure Design with one factor in the between (treatment vs control) and one factor in the within (pre, mid-point, and post-treatment) was used in the analysis. Study results showed that participants in the ePST group improved their depression symptoms (from Moderate to Mild levels of depression) after receiving 3 session of ePST, as well as after receiving six session of ePST (from moderate to minimal levels of depression). On the other hand, participants assigned to the control group remained with Moderate levels of depression. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/28381 |
| Date | 09 February 2015 |
| Creators | Sandoval, Luis Roberto |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
Page generated in 0.0048 seconds