Andrea Acevedo1, Deborah W Garnick1, Robert Dunigan1, Constance M Horgan1, Grant A Ritter1, Margaret T Lee1, Lee Panas1, Kevin Campbell2, Karin Haberlin3, Dawn Lambert-Wacey4, Tracy Leeper5, Mark Reynolds5, David Wright5. 1. Institute for Behavioral Health, The Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts. 2. Washington State Department of Social and Health Services, The Division of Behavioral Health and Recovery, Olympia, Washington. 3. Connecticut Department of Mental Health and Addiction Services, Hartford, Connecticut. 4. New York State Office of Alcoholism and Substance Abuse Services, Division of Outcome Management and System Information, Albany, New York. 5. Oklahoma Department of Mental Health and Substance Abuse Services, Oklahoma City, Oklahoma.
Abstract
OBJECTIVE: A limited literature on racial/ethnic disparities in the treatment of substance use disorders suggests that quality of treatment may differ based on client's race/ethnicity. This study examined whether (a) disparities exist in the probability of treatment engagement, a performance measure for substance use disorders, and (b) treatment engagement is associated with similar reductions in likelihood of arrest for Whites, Blacks, Latinos, and American Indians. METHOD: Adult clients who began an outpatient treatment episode in 2008 in public sector specialty treatment facilities in Connecticut, New York, Oklahoma, and Washington made up the sample (N = 108,654). Administrative treatment data were linked to criminal justice data. The criminal justice outcome was defined as an arrest within a year after beginning treatment. Engagement is defined as receiving a treatment service within 14 days of beginning a new outpatient treatment episode and at least two additional services within the next 30 days. Two-step Heckman probit models and hierarchical time-to-event models were used in the analyses. RESULTS: Black clients in New York and American Indian clients in Washington had significantly lower likelihood of engagement than White clients. As moderators of engagement, race/ethnicity had inconsistent effects across states on the hazard of arrest. CONCLUSIONS: Racial/ethnic minority groups may benefit from additional treatment support to reduce criminal justice involvement. States should examine whether disparities exist within their treatment system and incorporate disparities reduction in their quality improvement initiatives.
OBJECTIVE: A limited literature on racial/ethnic disparities in the treatment of substance use disorders suggests that quality of treatment may differ based on client's race/ethnicity. This study examined whether (a) disparities exist in the probability of treatment engagement, a performance measure for substance use disorders, and (b) treatment engagement is associated with similar reductions in likelihood of arrest for Whites, Blacks, Latinos, and American Indians. METHOD: Adult clients who began an outpatient treatment episode in 2008 in public sector specialty treatment facilities in Connecticut, New York, Oklahoma, and Washington made up the sample (N = 108,654). Administrative treatment data were linked to criminal justice data. The criminal justice outcome was defined as an arrest within a year after beginning treatment. Engagement is defined as receiving a treatment service within 14 days of beginning a new outpatient treatment episode and at least two additional services within the next 30 days. Two-step Heckman probit models and hierarchical time-to-event models were used in the analyses. RESULTS: Black clients in New York and American Indian clients in Washington had significantly lower likelihood of engagement than White clients. As moderators of engagement, race/ethnicity had inconsistent effects across states on the hazard of arrest. CONCLUSIONS: Racial/ethnic minority groups may benefit from additional treatment support to reduce criminal justice involvement. States should examine whether disparities exist within their treatment system and incorporate disparities reduction in their quality improvement initiatives.
Authors: Deborah W Garnick; Margaret T Lee; Peggy L O'Brien; Lee Panas; Grant A Ritter; Andrea Acevedo; Bryan R Garner; Rodney R Funk; Mark D Godley Journal: Drug Alcohol Depend Date: 2012-02-23 Impact factor: 4.492
Authors: Margaret T Lee; Deborah W Garnick; Peggy L O'Brien; Lee Panas; Grant A Ritter; Andrea Acevedo; Bryan R Garner; Rodney R Funk; Mark D Godley Journal: J Subst Abuse Treat Date: 2011-11-01
Authors: Deborah W Garnick; Constance M Horgan; Andrea Acevedo; Margaret T Lee; Lee Panas; Grant A Ritter; Robert Dunigan; Alfred Bidorini; Kevin Campbell; Karin Haberlin; Alice Huber; Dawn Lambert-Wacey; Tracy Leeper; Mark Reynolds; David Wright Journal: J Subst Abuse Treat Date: 2013-10-14
Authors: Robert Dunigan; Andrea Acevedo; Kevin Campbell; Deborah W Garnick; Constance M Horgan; Alice Huber; Margaret T Lee; Lee Panas; Grant A Ritter Journal: J Behav Health Serv Res Date: 2014-01 Impact factor: 1.505
Authors: Andrea Acevedo; Lee Panas; Deborah Garnick; Dolores Acevedo-Garcia; Jennifer Miles; Grant Ritter; Kevin Campbell Journal: J Behav Health Serv Res Date: 2018-10 Impact factor: 1.505
Authors: Gwen T Lapham; Cynthia I Campbell; Bobbi Jo H Yarborough; Rulin C Hechter; Brian K Ahmedani; Irina V Haller; Andrea H Kline-Simon; Derek D Satre; Amy M Loree; Constance Weisner; Ingrid A Binswanger Journal: Subst Abus Date: 2019-01-18 Impact factor: 3.716
Authors: Jennifer Miles; Andrea Acevedo; Lee Panas; Grant Ritter; Kevin Campbell; Michelle Delk Journal: J Behav Health Serv Res Date: 2020-04 Impact factor: 1.505
Authors: Jessica F Magidson; Hetta Gouse; Warren Burnhams; Christie Y Y Wu; Bronwyn Myers; John A Joska; Adam W Carrico Journal: Addict Behav Date: 2016-11-17 Impact factor: 3.913