This proposal is a collaboration of the University of Wisconsin, Dartmouth College, Forward Health Group, Arapahoe SUD treatment, Access, Salud and Partnership community health centers, and The National Council for Community Behavioral Health and led by multiple PIs David H. Gustafson PhD and Lisa Marsch PhD. Primary care providers are being asked to integrate substance use disorder (SUD) treatment and HIV care into their practices. That means adding a new, complex caseload to an already overburdened system. We propose to test a strategy to implement a wireless smart phone based delivery system, composed of proven treatment and recovery computer programs that will add SUD services and HIV care but relieve the burden. Two information and communication systems have demonstrated ability to improve the effectiveness of SUD treatment and HIV care (TES) and continuing care (ACHESS). While their potential is great, success relies not only on technology, but on a creating a welcoming environment and effective processes to implement and sustain. We propose to overcome key barriers to integrating substance abuse treatment and HIV care into primary care by using a blending of three proven strategies (informed by quality improvement) to implement a seamless combination of evidence-based computer assisted system called Seva (the Sanskrit word for selfless caring). Seva includes: TES addiction treatment, ACHESS relapse prevention, video counseling as well as registry PopulationManager. Seva integrates HIV risk behaviors, status, and services into both the patient interface and provider registry components. Each component of Seva has proven to be effective, but each has its own interface and operates independently making it difficult to easily take advantage of their synergistic potential. We hypothesize that our implementation strategy will create welcoming environment, and enhance implementation success and sustainability by removing barriers and building on facilitators, thus allowing Seva to flourish. We will use quantitative and qualitative methods to determine how much our implementation of SEVA will improve: Reach, Effectiveness, Adoption, Implementation and Maintenance. We will implement Seva in 3 FQHCs. One FQHC (ACCESS community health center in Madison) will be used to test and refine the implementation strategy and adapt SEVA to meet FQHC needs and ensure ease of use. Two other FQHCs will receive SEVA at six-month intervals in a stepped wedge (multiple baseline) design. A coach will be assigned to each FQHC (as is common in quality improvement) to help implement, operate and sustain SEVA. We will measure impact on the FQHC over a three year period.

Public Health Relevance

Smart phones and other wireless technologies have been proven to reduce the burden of treatment and continued care for people with substance use disorders and HIV. Using these technologies may make it practical to treat these illnesses in primary care, a change health policy makers advocate. We propose testing the use of such technology to treat addiction in three federally supported, primary care clinics in Colorado, Montana, and Wisconsin.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
1R01DA034279-01
Application #
8369182
Study Section
Special Emphasis Panel (ZDA1-GXM-A (04))
Program Officer
Ducharme, Lori
Project Start
2012-07-01
Project End
2017-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
1
Fiscal Year
2012
Total Cost
$737,253
Indirect Cost
$234,533
Name
University of Wisconsin Madison
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Quanbeck, Andrew; Gustafson, David H; Marsch, Lisa A et al. (2018) Implementing a Mobile Health System to Integrate the Treatment of Addiction Into Primary Care: A Hybrid Implementation-Effectiveness Study. J Med Internet Res 20:e37
Kornfield, Rachel; Sarma, Prathusha K; Shah, Dhavan V et al. (2018) Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum. J Med Internet Res 20:e10136
Kornfield, Rachel; Toma, Catalina L; Shah, Dhavan V et al. (2018) What Do You Say Before You Relapse? How Language Use in a Peer-to-peer Online Discussion Forum Predicts Risky Drinking among Those in Recovery. Health Commun 33:1184-1193
Mares, Marie-Louise; Gustafson, David H; Glass, Joseph E et al. (2016) Implementing an mHealth system for substance use disorders in primary care: a mixed methods study of clinicians' initial expectations and first year experiences. BMC Med Inform Decis Mak 16:126
Johnson, Kimberly; Richards, Stephanie; Chih, Ming-Yuan et al. (2016) A Pilot Test of a Mobile App for Drug Court Participants. Subst Abuse 10:1-7
Quanbeck, Andrew; Brown, Randall T; E Zgierska, Aleksandra et al. (2016) Systems consultation: protocol for a novel implementation strategy designed to promote evidence-based practice in primary care. Health Res Policy Syst 14:8
Molfenter, Todd; Sherbeck, Carol; Zehner, Mark et al. (2015) Implementing buprenorphine in addiction treatment: payer and provider perspectives in Ohio. Subst Abuse Treat Prev Policy 10:13
Johnson, Kimberly; Quanbeck, Andrew; Maus, Adam et al. (2015) Influence networks among substance abuse treatment clinics: implications for the dissemination of innovations. Transl Behav Med 5:260-8
Ford 2nd, James H; Alagoz, Esra; Dinauer, Susan et al. (2015) Successful Organizational Strategies to Sustain Use of A-CHESS: A Mobile Intervention for Individuals With Alcohol Use Disorders. J Med Internet Res 17:e201
Quanbeck, Andrew; Chih, Ming-Yuan; Isham, Andrew et al. (2014) Mobile Delivery of Treatment for Alcohol Use Disorders: A Review of the Literature. Alcohol Res 36:111-22

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