Improving risk assessment of violence among military Veterans: An evidence-based approach for clinical decision-making

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Abstract

Increased media attention to post-deployment violence highlights the need to develop effective models to guide risk assessment among military Veterans. Ideally, a method would help identify which Veterans are most at risk for violence so that it can be determined what could be done to prevent violent behavior. This article suggests how empirical approaches to risk assessment used successfully in civilian populations can be applied to Veterans. A review was conducted of the scientific literature on Veteran populations regarding factors related to interpersonal violence generally and to domestic violence specifically. A checklist was then generated of empirically-supported risk factors for clinicians to consider in practice. To conceptualize how these known risk factors relate to a Veteran's violence potential, risk assessment scholarship was utilized to develop an evidence-based method to guide mental health professionals. The goals of this approach are to integrate science into practice, overcome logistical barriers, and permit more effective assessment, monitoring, and management of violence risk for clinicians working with Veterans, both in Department of Veteran Affairs settings and in the broader community. Research is needed to test the predictive validity of risk assessment models. Ultimately, the use of a systematic, empirical framework could lead to improved clinical decision-making in the area of risk assessment and potentially help prevent violence among Veterans.

Section snippets

Literature review method

Empirical research on violence risk factors among Veterans was reviewed. Medline and PsycINFO databases were used to search peer-reviewed journals for articles describing empirical relationships between risk factors and violence among Veteran populations. Search terms included combinations of the following: “violence,” “violent,” “aggression,” “aggress,” “Veteran,” “military,” “risk,” “domestic,” and “conflict.” Several review articles were also used to identify relevant literature (Beckham et

Dispositional factors

In terms of demographic risk factors for intimate partner violence, younger age has been found be a predictor of intimate partner violence in Veterans and military service members (Fonseca et al., 2006, Forgey and Badger, 2006, McCarroll et al., 1999, McCarroll et al., 2000, McCarroll et al., 2003, Petrik et al., 1983, Rumm et al., 2000). One study of N = 101 Veterans found that 67% of younger men (age  40 years) reported physically hurting the woman they lived with compared to 43% of older men

Dispositional factors

As with domestic violence, younger age has been found to be related to higher incidence of aggression in Veterans (Beckham et al., 1998, Ganzini et al., 1995, Jakupcak et al., 2007, Taft, Kaloupek, et al., 2007). According to one study of N = 1328 Veterans, the effect of age may be explained in large part by the presence of PTSD symptoms of hyperarousal, since those symptoms were more prominent in younger Veterans (Taft, Kaloupek et al., 2007). Additionally, lower levels of education have been

Conceptualizing risk of violence among veterans

The review finds a large overlap of factors between different types of violence in Veteran populations, although certainly some risk factors were found to be specific to domestic violence (e.g., marital discord and family structure) or to general violence/aggression (e.g., head injury, and homelessness). To depict the results of the review, and to judge the empirical merit of these risk factors, we counted the number of peer-reviewed scientific publications demonstrating a statistically

Applying evidence-based approach to clinical treatment of Veterans

To use this conceptual framework in practice there are several barriers that need to be considered (Baker et al., 2008). First, time and resources are required to gather empirically validated information on violence. While VA Medical Centers do have a computerized patient record system which may contain important risk information, it is estimated that over one half of Veterans do not in fact go to the VA for their health care. As a result, clinicians themselves may need to do the legwork to

Benefits and limits of risk assessment framework

A central thesis of this article is that clinicians can optimize risk assessment by following the conceptual framework in Fig. 1 to guide in the use of empirically supported risk factors in Table 2. The evidence-based method proposed in this article is designed to ensure that clinicians review all the relevant risk domains and investigate empirically supported risk factors within those domains in each and every case. Research on clinical decision-making of violence risk reveals that clinicians

Acknowledgement

We want to thank Stephen Hart, Matt Huss, John Monahan, and Richard Weiner for comments on an earlier draft of this paper. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs or the National Institutes of Health. Please note there are no conflicts of interest. Preparation of this manuscript was supported by the Mid-Atlantic Mental Illness Research, Education and Clinical Center, the Office of Research and

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