Implementation Potential of Structured Risk Assessments for Criminal Recidivism in the Veterans Health Administration: Qualitative Perspectives From Providers

Published date01 July 2019
AuthorChristine Timko,Ava C. Wong,Luisa Manfredi,Andrea Nevedal,Joel Rosenthal,Allison L. Rodriguez,Daniel M. Blonigen
DOI10.1177/0887403417725567
Date01 July 2019
Subject MatterArticles
https://doi.org/10.1177/0887403417725567
Criminal Justice Policy Review
2019, Vol. 30(6) 819 –839
© The Author(s) 2017
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DOI: 10.1177/0887403417725567
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Article
Implementation Potential of
Structured Risk Assessments
for Criminal Recidivism
in the Veterans Health
Administration: Qualitative
Perspectives From Providers
Allison L. Rodriguez1, Luisa Manfredi1,
Ava C. Wong1, Andrea Nevedal1, Christine Timko1,2,
Joel Rosenthal3, and Daniel M. Blonigen1,2,4
Abstract
Utilization of tools to evaluate recidivism risk among justice-involved individuals
is central to the risk-need-responsivity model of offender rehabilitation. Veterans
Health Administration’s (VHA) Veterans Justice Programs (VJP) Specialists link
justice-involved veterans to appropriate services, aiming to reduce recidivism risk.
To explore the implementation potential of structured risk assessments (SRAs)
within VJP, semistructured telephone interviews were conducted with 63 VJP
Specialists and qualitatively analyzed. While SRAs were not reported to be utilized
as part of Specialists’ formal duties, many Specialists indicated such a tool would
be valuable for efficient triage, separation of clients by risk level, client feedback,
and data collection for quality improvement purposes. Perceived barriers to SRA
implementation included lack of time and resources, misinterpretation of scores,
and concerns regarding documentation of risk level. Potential facilitators included
leadership support, education, and training. Findings highlight potential pitfalls and
promises of implementing SRAs within large, integrated health care systems such as
VHA.
1Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, USA
2Stanford University School of Medicine, Palo Alto, CA, USA
3Veterans Justice Programs, Veterans Health Administration, Washington, DC, USA
4Palo Alto University, Palo Alto, CA, USA
Corresponding Author:
Daniel M. Blonigen, Research Scientist, HSR&D Center for Innovation to Implementation, Veterans
Affairs Palo Alto Health Care System, 795 Willow Road (152), Menlo Park, CA 94025, USA.
Email: Daniel.Blonigen@va.gov
725567CJPXXX10.1177/0887403417725567Criminal Justice Policy ReviewRodriguez et al.
research-article2017
820 Criminal Justice Policy Review 30(6)
Keywords
recidivism, veterans, risk assessment, implementation potential
Mass incarceration and cyclical engagement with the U.S. criminal justice system are
major public health problems gaining significant attention in recent years (American
Public Health Association, 2014; Aufderheide, 2014; Dumont, Brockmann, Dickman,
Alexander, & Rich, 2012). Not only are the costs of maintaining and staffing correc-
tional facilities high (Pew Center on the States, 2011b), but the growing incarcerated
population has not been matched by sufficient treatment services that aim to assist
with reentry and reduce risk for recidivism (Gannon & Ward, 2014; James, 2009). A
sizable subgroup of offenders are U.S. military veterans, who comprise as much as 8%
of the correctional population in the United States (Bronson, Carson, Noonan, &
Berzofsky, 2015). Like other justice-involved individuals, recidivism is common
among veteran offenders. For example, between 2011 and 2012, nearly 70% of male
veteran inmates in jails had been incarcerated at least once before, and more than 40%
of incarcerated male veterans had at least four prior arrests (Bronson et al., 2015).
One primary way to address the issue of recidivism and the low availability of treat-
ment services is to moderate intensity of treatment depending on level of client risk.
Research demonstrates that low-risk offenders need fewer and less intensive services
than high-risk individuals, and this directed method of treating offenders lessens the
burden on the system to provide the same high-level services to all justice-involved
individuals. This concept is grounded in the risk-need-responsivity (RNR) model
(Andrews & Bonta, 2010), which states that services and treatment should be concen-
trated around those at highest risk for reoffending, should target risk factors that are
the strongest predictors of criminal recidivism (i.e., antisocial attitudes, behaviors, and
associates; substance abuse; family/marital dysfunction; lack of positive school or
work involvement; lack of prosocial activities) and that treatment should be respon-
sive, or tailored, to each individual’s needs. In other words, recommendations are that
clinicians working with justice-involved individuals titrate the level of treatment
offered in such a way that high-risk offenders receive more frequent and intensive
supervision and care, while low-risk offenders receive less intensive supervision and
care. Adherence to RNR principles has consistently resulted in lower rates of recidi-
vism among justice-involved individuals and demonstrates effectiveness among
women and men, juveniles and adults, and sex offenders and general offenders
(Andrews & Dowden, 2006; Andrews et al., 1990; Blodgett, Fuh, Maisel, & Midboe,
2013; Bonta & Andrews, 2007; Hanson, Bourgon, Helmus, & Hodgson, 2009;
Lowenkamp, 2006).
To adhere to the RNR model, risk assessment is a first step. Standardized tools,
called structured risk assessments (SRAs), or actuarial risk assessments, have been
developed to fill this need. These tools work by assessing the presence or absence of
static (e.g., history of substance use) and/or dynamic (i.e., modifiable) factors (e.g.,
current employment status and substance use; current antisocial attitudes and associ-
ates) that have been shown to significantly predict risk for future recidivism, assigning

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