Abstract
Objectives
The Veterans Affairs (VA) healthcare system is one of the main providers of substance use treatment within the United States, and many veterans with a substance use disorder (SUD) present with co-occurring diagnoses or other concerns. Though there has been increasing recognition of the need for integration of treatments for SUD and comorbid mental illness, there have been limited studies of such programs, particularly within the VA healthcare system. To address that gap in the literature, this paper examines treatment outcomes in an integrated model of dual diagnosis residential treatment for veterans: the Individualized Addictions Consultation Team (I-ACT) program. Methods: The current paper draws from clinical outcome evaluation data within a residential treatment program at a large Midwestern VA Medical Center (VAMC). The I-ACT program provides residential substance abuse treatment to individuals with a primary SUD and other factors that interfere with the successful completion of a traditional residential rehabilitation program. Between 2017 and 2018, 130 individuals (97.7% men, average age = 60.62 years) entered the I-ACT program. As part of standard measurement-based care, veterans were administered the Brief Addiction Monitor and the Patient Health Questionnaire–9 at admission and discharge. Results: Most individuals (74.6%) who entered I-ACT completed the residential program (average length of stay 34.2 days). Scores on both measures significantly decreased from intake to discharge (p < .001), with the change in depression scores indicating clinically significant improvement. Those with an additional mental health diagnosis achieved similar decreases in substance use symptoms and had lower depression scores at discharge than those with a SUD alone. Conclusions: Our results indicate that even for veterans who may not benefit from traditional SUD treatment programs, a more integrated and personalized residential program can be effective.
Acknowledgments
The authors would like to acknowledge the veterans who participated in this program. This manuscript is partially the result of work supported with resources and the use of facilities at the Milwaukee VA. The contents do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Notes
1 The repeated measures effect size dRM = Sample mean change divided by standard deviation of mean change. This formula is derived from Gibbons et al. (Citation1993) as cited in Morris and DeShon (Citation2002).