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