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Empirical Papers

Predictors of attendance in outpatient group treatment for women with posttraumatic stress disorder and substance use disorder

ORCID Icon, ORCID Icon, , , , , , , , , , & show all
Pages 632-643 | Received 11 Apr 2020, Accepted 23 Aug 2020, Published online: 15 Sep 2020
 

Abstract

Objective: The present study investigated predictors of treatment attendance among 226 women with posttraumatic stress disorder (PTSD) and substance use disorder (SUD). Participants received either an integrated intervention for PTSD and SUD (“Seeking Safety”) or a relapse prevention training (RPT) as part of a multicenter randomized controlled trial. Method: Beta-binomial regression was conducted to investigate baseline sociodemographic, motivational, mental health and substance use predictors of session attendance. Treatment by predictor interactions were included to identify treatment-specific predictors. Results: Session attendance was predicted by employment status, drug use severity and abstinence status. Higher drug use severity and unemployment were associated with less session attendance. The effect of abstinence status was treatment-specific, with abstinent participants in RPT attending most sessions. Conclusions: Considering individual characteristics could enhance session attendance in outpatient treatment for women with PTSD and SUD. This might include matching treatment concepts to abstinence status, the identification of attendance barriers in unemployed women and more intensive treatment settings for those with severe drug use.

Acknowledgements

The authors thank all participants and the staff of all study centers, in particular M. Bamberg, H. Dirks, L. Dreetz, P. Gidzgier, M. Huppertz, J. Reeder and B. Röllenbleck, for their contributions. The authors also wish to thank S. Barnow, M. Bullinger, M. Härter, M. Klein, C. Muhtz, M. Mülhan, U. Ravens-Sieberer, M. Schaefer, R. Thomasius, K. Wegscheider and S. Pawils as further members of the CANSAS-Study group.

Additional information

Funding

This work was supported by the German Federal Ministry of Education and Research (BMBF) [grant number 01KR1203A].

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