%0 Journal Article
%@ 2368-7959
%I JMIR Publications
%V 7
%N 1
%P e13392
%T A Culturally Adapted Cognitive Behavioral Internet-Delivered Intervention for Depressive Symptoms: Randomized Controlled Trial
%A Salamanca-Sanabria,Alicia
%A Richards,Derek
%A Timulak,Ladislav
%A Connell,Sarah
%A Mojica Perilla,Monica
%A Parra-Villa,Yamilena
%A Castro-Camacho,Leonidas
%+ SilverCloud Health, Clinical Research & Innovation, 1 Stephen St Upper, Dublin 8, DR9P, Ireland, 353 87 9343678, drichard@tcd.ie
%K culture
%K internet
%K cognitive behavioral therapy
%K depressive symptoms
%K students
%K South America
%D 2020
%7 31.1.2020
%9 Original Paper
%J JMIR Ment Health
%G English
%X Background: Internet-delivered treatments for depressive symptoms have proved to be successful in high-income Western countries. There may be potential for implementing such treatments in low- and middle-income countries such as Colombia, where access to mental health services is limited. Objective: The objective of this study was to assess the efficacy of a culturally adapted cognitive behavioral internet-delivered treatment for college students with depressive symptoms in Colombia. Methods: This was a randomized controlled trial with a 3-month follow-up. The program comprised seven modules. A total of 214 Colombian college students were recruited. They were assessed and randomly assigned to either the treatment group (n=107) or a waiting list (WL) control group (n=107). Participants received weekly support from a trained supporter. The primary outcome was symptoms of depression, as measured by the Patient Health Questionnaire - 9, and the secondary outcomes were anxiety symptoms assessed by the Generalized Anxiety Disorder questionnaire - 7. Other measures, including satisfaction with treatment, were evaluated after 7 weeks. Results: Research attrition and treatment dropouts were high in this study. On average, 7.6 sessions were completed per user. The mean time spent on the program was 3 hours and 18 min. The linear mixed model (LMM) showed significant effects after treatment (t197.54=−5.189; P<.001) for the treatment group, and these effects were maintained at the 3-month follow-up (t39.62=4.668; P<.001). Within-group results for the treatment group yielded a large effect size post treatment (d=1.44; P<.001), and this was maintained at the 3-month follow-up (d=1.81; P<.001). In addition, the LMM showed significant differences between the groups (t197.54=−5.189; P<.001). The results showed a large effect size between the groups (d=0.91; P<.001). In the treatment group, 76.0% (16/107) achieved a reliable change, compared with 32.0% (17/107) in the WL control group. The difference between groups was statistically significant (X22=10.5; P=.001). Conclusions: This study was the first contribution to investigating the potential impact of a culturally adapted internet-delivered treatment on depressive symptoms for college students as compared with a WL control group in South America. Future research should focus on identifying variables associated both with premature dropout and treatment withdrawal at follow-up. Trial Registration: ClinicalTrials.gov NCT03062215; https://clinicaltrials.gov/ct2/show/NCT03062215 
%M 32003749
%R 10.2196/13392
%U https://mental.jmir.org/2020/1/e13392
%U https://doi.org/10.2196/13392
%U http://www.ncbi.nlm.nih.gov/pubmed/32003749