Postdeployment Suicide Risk Increases Over a 6‐month Period: Predictors of Increased Risk among Midwestern Army National Guard Soldiers

National Guard (NG) soldiers returning from deployments in Iraq and Afghanistan were surveyed at 6 and 12 months following their return (N = 970). The overall prevalence of suicide risk at 6 and 12 months following their return was assessed, as were changes in suicide risk among soldiers initially at high or low risk. Factors associated with changes in risk were assessed. The percentage of NG soldiers with high suicide risk increased from 6.8% at 6 months to 9.2% at 12 months (odds ratio = 1.7, p = .02). In the 882 soldiers initially at low risk, 5.9% (52/882) became high risk at 12 months; in the 64 soldiers initially at high risk, 46.9% (30/64) became low risk at 12 months. Initial levels of depressive symptoms were predictive of changing to high risk; this association appeared to be partially explained by soldier reports of increased search in the meaning in life and higher levels of perceived stress. Because suicide risk increases over the first 12 months, continued risk assessments during this time period should be considered. Supporting soldiers to find meaning in their life after deployment and enhancing their capacity to cope with perceived stress may help prevent increases in suicide risk over time.     

Enhancing mental health and well-being outcomes for psychotherapy and counselling through idiographic analysis: A four-quadrant approach

Mental health and well-being outcomes in psychotherapy and counselling have largely been studied through the use of standardised nomothetic measurement. A key limitation is that nomothetic measurement and current statistical analyses do not necessarily capture the outcomes of the complicated and individual psychotherapy processes. There is an increased interest in the use of idiographic patient-reported outcome measures (I-PROMs), which are uniquely useful because they may explore areas of importance that are unexplored by nomothetic outcome measures. We argue that to optimise the value of I-PROMs, it is necessary to consider their contribution alongside standardised nomothetic measures. However, there are important considerations with respect to whether or not I-PROMs from different clients, or indeed from the same client, can be meaningfully explored at a team/service level, and alongside standardised nomothetic outcomes. We provide worked examples on real client data to show that delineating four quadrants of analysis is important to explore the breadth of information: (a) individual progress on single items, (b) individual progress by aggregated scores, (c) team/service-level progress by goal item/theme and (d) team/service-level progress by aggregated scores.