Getting Inside the Black Box: Understanding How Jail Diversion Works - Re-released June 2020 | Originally published August 2010 - Policy Research ...
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Getting Inside the Black Box: Understanding How Jail Diversion Works Re-released June 2020 | Originally published August 2010
This document was originally developed in August 2010 by Policy Research Associates. It has been rebranded for distribution to the field, but the content has not been changed. This document should be viewed as a reference resource. For more information, please contact pra@prainc.com. Overview expect a reduction in arrests, fewer jail days, and lower charge levels for subsequent arrests. Over the past 20 years, jail diversion for persons with mental illness and co-occurring substance Over 18 years, there has been dramatic use disorders has become a widely accepted program growth, from 52 programs identified part of the criminal justice system. The frequent in the initial 1992 national survey (Steadman, contact with police by people with unmet mental Barbera & Dennis, 1994) to now some 560 health needs and the high rates of mental and programs operating across 47 states, based on substance use disorders among correctional current estimates. populations have created broad support for diversion across criminal justice, health, and By connecting justice-involved people advocacy lines. Jail diversion programs provide with a serious mental illness to a way to redirect high-risk individuals from comprehensive and effective mental justice settings into community-based services health treatment in the community, and supports, often with judicial supervision. individuals would be stabilized and The Targeted Capacity Expansion communities could expect a reduction in Jail Diversion Program arrests, fewer jail days, and lower charge levels for subsequent arrests. The federal government has supported the development and expansion of jail diversion programming nationwide since 1992. After Convening the Experts the initial 1997 Jail Diversion Knowledge In January 2010, a small, diverse group of Development Application (KDA) demonstration researchers, policymakers, and jail diversion project, expansion efforts included practitioners convened in Bethesda, MD, to authorizations for the 2001 Targeted Capacity assess what conclusions could be derived from Expansion (TCE) initiative and 2002-2007 TCE the TCE Jail Diversion cross-site evaluation for jail diversion programs, followed by the 2008 project data. Present were representatives from 13-state Jail Diversion and Trauma-Recovery: Policy Research Associates, Inc., the Council Priority to Veterans initiative. of State Governments (CSG), and Westat; The New Freedom Commission on Mental Health Federal representatives; program evaluators; (2004) recommended jail diversion as a public psychiatrists; peer specialists; and criminal health and public safety strategy. By connecting justice professionals from the bench, prosecution justice-involved people with a serious mental and defence. The group was charged with the illness to comprehensive and effective mental task of critiquing findings, using data from 14 health treatment in the community, individuals post-booking TCE I programs. would be stabilized and communities could Getting Inside the Black Box | 2
Major Findings functioning with baseline reductions of -0.7 and -0.78 at 6 and 12 months from a mean The TCE data showed the clearest impact 2.02 baseline (scale of 1-4). The Colorado of jail diversion in the areas of drug and Symptom Index (CSI) demonstrated an alcohol use, functionality in daily living, re- average 30 percent improvement in symptom arrest history and jail days, and timely service reduction and well-being ratings. linkage. Across each of these categories, data showed improved outcomes for clients Public safety improvements were observed involved in a diversion program. in 12-month data, with a 53-percent decrease in arrests post-enrollment and a Drug and alcohol use dropped dramatically corresponding reduction in jail days from 52 during the first 6 months. Self-report of any days pre-enrollment to 35 days at 1 year post- alcohol use dropped by more than 50 percent, enrollment. Across charge history, 46 percent while use of alcohol to intoxication and illegal of clients diverted on misdemeanor charges drug use both decreased 70 percent from and 49 percent of those diverted on felony baseline, with the decrease mostly sustained charges experienced no further arrests during at 12 months. the following year, so that charge severity itself made no difference to the likelihood of future Assessment of individual improvement and arrest or charge severity. Overall, diverted capacity for independent living showed equal clients had 44 percent fewer arrests and 33 improvement: the daily living/role functioning percent fewer jail days (Case et al., 2009). scale demonstrated improvements in Jail Diversion Logic Model1 Stage 1 Stage 2 Stage 3 Improved Mental Diversion Identify and Linkage Comprehensive/ Health/Individual Enroll People in Appropriate Outcomes Target Group Community- Based Services Improved Public Safety Outcomes Input Black Box Output 1. From Case, B., Steadman, H.J., Dupuis, S., & Morris, L. (2009). Who succeeds in jail diversion programs for persons with mental illness? A multi-site study. Behavioral Sciences and the Law, 27(5). Getting Inside the Black Box | 3
Data analysis identified 3 outcome predictors evaluate diversion programs and those diverted for future criminal activity: lengthier prior arrest to them as homogenous groups, there remains history; gender (with women less likely to an extraordinary level of heterogeneity among reoffend); and more illegal drug use. programs, dispositional practices, treatment services provided, and individual performance. Overall, the data demonstrated improvement in mental health outcomes, with reduced symptoms and improved well-being, and improvement in Ultimately, in analyzing the findings, public safety outcomes, with reduced rearrest the 2010 expert group concluded the rates, lower charges, and fewer jail days. These data provide enough evidence to define data also suggest the predominant factor related the key ingredients within Stage 1 and to public safety outcomes is past criminal 2 of the Jail Diversion Logic Model behavior. However, prior arrest history is, by itself, an insufficient determinant of future risk. Other necessary to create a competent system compounding risk factors must be considered capable of meeting the Stage 3 public and the treatment and supports occurring within health and public safety goals. the black box of the jail diversion process must be examined. In concept, the Jail Diversion Logic Model hypothesizes a causal relationship that symptom Beyond Data: The Black control would result in reduced recidivism Box of Jail Diversion for justice-involved individuals with a mental illness. However, research has shown mental In science, the “black box” is an entity or system illness is not the dominant cause of arrest. In that can be viewed solely in terms of its input, one metaanalysis, only 4 percent of arrests in a output, and transfer characteristics, without any sample of jail divertees with mental illness were knowledge of its internal workings. the direct effect of mental illness although 14.3 In the context of jail diversion, much is known percent were indirectly related. Substance abuse about the demographics, charge level, and was the direct cause of arrest in 22.5 percent treatment needs of people going in, and study of cases, with only 8.6 percent indirectly related data reveal a fair amount about service retention (Bonta, Law, & Hanson, 1998). Additional research and re-arrest history among people coming out. suggests mental illness may be only a modest The black box represents variables or “change factor for recidivism and reveals justice-involved components”—from evidence-based services people with mental illnesses meet many of the to the perceived role of coercion in criminal “central eight” leading risk factors for future justice supervision—that may provide clues criminal behavior (Andrews et al., 2006). as to what works and why. Despite efforts to Getting Inside the Black Box | 4
…engage in offending and other forms of deviant behavior not because they have “Central Eight” Risk Factors a mental disorder, but because they are It is important to note high “central eight” risk poor. Their poverty situates them socially scores are shared by both individuals with a mental illness and those without, suggesting an and geographically, and places them at alternative view of the root of the problem for risk of engaging in many of the same frequent criminal justice contact. Some people behaviors displayed by persons without with serious mental illnesses may: mental illness who are similarly situated (Fisher et al., 2006, pg. 553). “Central Eight” Risk Factors2 Risk Factor Need History of criminal behavior Build alternative behavior Antisocial personality disorder Problem-solving skills, anger management Antisocial cognition Develop less risky thinking Antisocial peers Reduce association with criminal others Family and/or marital discord Reduce conflict, build positive relationships Poor school and/or work performance Enhance performance, rewards Few leisure or recreation activities Enhance outside involvement Substance abuse Reduce use 2. From Andrews, D. A., Bonta, J., & Wormith, J. (2006). The recent past and near future of risk and/or need assessment. Crime and Delinquency, 52(1). Getting Inside the Black Box | 5
Understanding the Black Box and and (2) outreach that could significantly reduce noncompliance and technical revocations. Fine-Tuning a Model TCE data tell us little about effective service Viewing the logic model stages as opportunity for ingredients: range of services, evidence-based cause and effect, jail diversion data have a fairly practices, and the level of intensity at which they robust effect in meeting public health and public need to be provided. Researchers believe service safety goals via engagement, treatment, and answers would help define the process and supervisory strategies in Stage 1 and 2, including: changes that occur in the black box and provide assessment, admission decisions, individualized a standardized model for replication. However, planning, intervention choices, community- it may be a moot question since the evidence based supervision, and peer support. Despite suggests individualized plans and the dynamics this, people still cycle back into contact with the of the supervisor-client relationship are, in fact, justice system, which suggests the issue is not the keys to success (Skeem et al., 2007; Skeem only a lack of access to services but a need for et al., 2011). (1) access to evidence-based “competent care” What Is in the Black Box of Jail Diversion? Input What may occur in Output the black box Inclusionary criteria Judicial supervision and Mental health symptom control mandated treatment or reduction Voluntary admission Comprehensive needs Lower costs assessment, including “central eight” risk factors Men/Women Service linkage and Fewer arrests ancillary supports Misdemeanor/felony charges Person-centered, individualized Reduction in charge severity planning, choice Prior arrest histories Tailored treatment and Fewer jail days service intensity Mental health diagnosis Trauma-informed care Improved quality of life PTSD/trauma history “Change agent” providing “firm N/A but fair” community supervision Getting Inside the Black Box | 6
Next Steps and Opportunities Drawing on this and what we know from risk assessment and violence studies, the TCE Collectively, the data provide a framework for data strongly suggest we are moving toward future directions in policy and practice. The a more valid model of “what works” to reduce data support the establishment of jail diversion criminal behavior. By introducing criminogenic programs on the grounds of public health, public factors to the discussion, we see the similarities safety, and individual success. It shows we can in risk factors for recidivism across offenders be reasonably accurate in distinguishing people with and without mental illnesses. This finding more or less likely to reoffend and the range and indicates a successful jail diversion model, intensity of their service needs. However, prior in symmetry with reentry planning, hinges on arrest history alone should not be interpreted as integrated, clientoriented community services and a preclusion to diversion but instead as a helpful supports the argument for the use of evidence- indicator of greater risk factors. based practices throughout mental health and correctional settings. Toward a More Valid Model of “What Works” to Reduce Criminal Behavior3 RNR: Risk-Need-Responsivity Model Diversion/Sentence to ACT: Assertive Community Treatment Mandated Treatment Mental Health Treatment IDDT: Integrated Dual Disorder Treatment e.g., ACT, IDDT, others shown to affect Small subgroup EBP in Corrections psychiatric outcomes. e.g., RNR, firm but fair relationships, others shown to affect Fewer new crimes Everyone else recidivism. and new victims 3. Skeem, J., Peterson, J., & Silver, E. (2011). Toward research-informed policy for high risk offenders with serious mental illness. In B. McSherry & P. Keiser (Eds.), Managing High Risk Offenders: Policy & Practice. New York: Routledge. Getting Inside the Black Box | 7
Policy Research Associates, Inc. Case, B., Steadman, H. J., Dupuis, S., & Morris, L. (2009). Who succeeds in jail diversion 345 Delaware Avenue, Delmar, New York 12054 programs for persons with mental illness? A www.prainc.com | pra@prainc.com multi-site study. Behavioral Sciences and the Law, 27: 661-674. About Policy Research Fisher, W. H., Roy-Bujnowski, K. M., Grudzinskas, Associates, Inc. A. J. Jr., Clayfield, J. C., Banks, S. M., & Wolff. Policy Research Associates, Inc. (PRA) is a N. (2006). Patterns and prevalence of arrest Women-Owned Small Business (WOSB) that in a statewide cohort of mental health care is a national leader in behavioral health and consumers. Psychiatric Services, 57(11):1623- research. PRA offers four core services that help 1628. individuals with behavioral health needs achieve New Freedom Commission on Mental Health. recovery. In partnership with its sister non-profit, 2004. Subcommittee on criminal justice: Policy Research, Inc., PRA offers policy, research, Background paper. Rockville, MD: Department technical assistance, and training services, of Heatlh and Human Services. Pub. No. SMA- primarily in the content areas of behavioral health; 04-3880. homelessness; income supports; criminal justice; juvenile justice; education; service members, Skeem, J., Eno Louden, J., Polasheck, & Cap, Veterans, and their families; recovery support; J. (2007). Relationship quality in mandated consumers and family members; trauma; treatment: Blending care with control. wellness; and systems mapping. Psychological Assessment, 19, 397-410. Skeem, J., Manchak, S., & Peterson, J. (2011). Suggested Citation Correctional policy for offenders with mental Policy Research Associates, Inc. (2020). Getting disorder: Creating a new paradigm for Inside the Black Box: Understanding How Jail recidivism reduction. Law and Human Behavior. Diversion Works (2nd ed). Delmar, NY: Author. 35:110-126. References Skeem, J., Peterson, J., & Silver, E. (2011). Toward research-informed policy for high risk Andrews, D. A., Bonta, J., & Wormith, J. (2006). offenders with serious mental illness. In B. The recent past and near future of risk and/ McSherry & P. Keiser (Eds.), Managing High or need assessment. Crime and Delinquency, Risk Offenders: Policy & Practice (111-121). 52:7–27. New York: Routledge. Bonta, J., Law, M., & Hanson, K. (1998). The Steadman, H. J., Barbera, S., & Dennis, D. (1994). prediction of criminal and violent recidivism A national survey of jail diversion programs for among mentally disordered offenders: A mentally ill detainees. Hospital and Community metaanalysis. Psychological Bulletin, 123, Psychiatry, 45(11):1109–1113. 123-142. Getting Inside the Black Box | 8
Acknowledgments Forum Participants January 14, 2010 | Bethesda, MD Stephen Bush Stephanie LeMelle Kevin Casey Ann-Marie Louison Victoria Cochran Joseph Morrissey Debra Ferguson Mary Anne Myers Doyle Forrestal Fred Osher David Fuller Travis Parker Micah Haskell-Hoehl Susie Davidson Powell Kirk Heilbrun Merrill Rotter H. Richard Hopper Jennifer Skeem Chandria Jones Bonita Veysey Kathleen Lacey Douglas Wilson J. Steven Lamberti David Wright Steven Leifman Getting Inside the Black Box | 9
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