Improving Engagement in Residential Treatment for Substance Use Disorders: An Integrated Care Quality Improvement Project for Individuals With Mental Health and Substance Use Disorders

被引:0
|
作者
Ramey, Feyisetan Rebecca [1 ]
Stevenson, Eleanor [1 ]
Derouin, Anne [1 ]
Sharma, Samata [2 ]
Ruhiu, Margaret [2 ]
机构
[1] Duke Univ, Sch Nursing, Durham, NC 27710 USA
[2] Massachusetts VOAMASS, Residential Treatment Programs, Volunteers Amer, Jamaica Plain, MA USA
来源
关键词
co-occurring disorders; integrated care; mental health; overdose prevention; patient retention; polysubstance use; recovery services; residential; substance use disorder treatment; treatment; MEDICATION-ASSISTED TREATMENT; RECOVERY SUPPORT; UNITED-STATES; OUTCOMES; ALCOHOL; TRENDS; IMPACT;
D O I
10.1016/j.nurpra.2024.105174
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Substance use disorder continues to pose significant challenges in the United States, with increasing opioidrelated fatalities. Residential recovery treatment programs are effective; however, high attrition rates impact successful long-term outcomes. This quality improvement project aimed to enhance patient engagement in treatment for mental health and substance use disorder to improve retention rates. It also implemented an integrated care approach incorporating psychotherapy, psychopharmacologic interventions, and recovery support services. The project was conducted using a 2-group predesign and postdesign, analyzing 134 admissions. The approach resulted in a statistically significant increase in patient engagement in treatment from 24% to 92%. Substance use relapse rates significantly reduced from 25% to 12%, and a clinically meaningful increase in the 3-month retention rate was noted. Integrated care is a promising strategy to improve outcomes for individuals receiving care for co-occurring disorders via residential treatment settings. Future studies should explore integrative models of care, patient motivation, and retention in residential treatment centers. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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页数:6
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