A Randomized Controlled Trial Of An Internet Delivered Dialectical Behavior Therapy Skills Training For Suicidal And Heavy Episodic Drinkers

Keywords

Alcohol; Computerized psychotherapy; Dialectical behavior therapy; Internet; Randomized controlled trial; Suicide

Abstract

Background: Given that alcohol misuse elevates risk of suicide death among ideators, the paucity of treatment outcome research for individuals presenting with both suicide ideation and problem drinking is particularly troubling. Dialectical behavior therapy (DBT) skills training, which effectively targets behaviors associated with emotion dysregulation including addictive and suicidal behaviors, provides a fitting model amenable to computerization. As stigma and scarcity stand as potential barriers to treatment, online dissemination platforms provide means for efficient treatment delivery that can augment the utility of suitable interventions. This pilot RCT sought to evaluate the feasibility, acceptability, and preliminary efficacy of an Internet-delivered DBT skills training intervention (iDBT-ST) for suicidal individuals who engage in heavy episodic drinking Methods: Participants (N = 59) were randomized to receive iDBT-ST immediately or after an 8-week waiting period. Clinical outcomes were suicide ideation, alcohol use, and emotion dysregulation. Results: Participants on average saw a significant reduction in all outcomes over the four-month study period. Compared to waitlist controls, individuals who received iDBT-ST immediately showed faster reductions in alcohol consumption. Conclusions: Preliminary results suggest that iDBT-ST may be a viable resource for the high-risk and underserved group represented in this study, and pathways for future development are suggested. Limitations: There was difficulty retaining and engaging participants due to technological barriers.

Publication Date

5-1-2018

Publication Title

Journal of Affective Disorders

Volume

232

Number of Pages

219-228

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.jad.2018.02.053

Socpus ID

85042709055 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85042709055

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