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The development and validation of an Army team resilience measure.

ABSTRACT: Given the demanding nature of its mission, the collective units of the Army, not just individual Soldiers, need to be able to withstand and adapt to a wide range of challenges. Therefore, it is important to be able to effectively assess resilience at the team-level and to understand the factors that can enable or diminish it. This article describes the development of a construct valid and psychometrically-sound measure of team resilience - the Team Resilience Scale (TRS). A theoretical framework of team resilience and related constructs is introduced. We then summarize the procedures for developing the TRS and related constructs, providing evidence of the content validity of the TRS. Finally, we assess the psychometric soundness and construct validity of the TRS in two Army field studies. Our analyses support the convergent validity of items and indicate that the measure can be used to examine three first-order dimensions of resilience (i.e., physical, affective, and cognitive) or as a single overall resilience composite. Results show the TRS was positively related to team performance in both samples and it co-varied with stressors and team actions. Practical recommendations for use of the measure and suggestions for future research are offered.

SUBMITTER: Tannenbaum S

PROVIDER: S-EPMC10790805 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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The development and validation of an Army team resilience measure.

Tannenbaum Scott S Mathieu John J Levy Jamie J Watson Dale D Maynard Travis T Beard Rebecca R Salas Eduardo E Boyle Bridget B Cato Colanda C Berry Cassie C Blue Shala S

Military psychology : the official journal of the Division of Military Psychology, American Psychological Association 20220503 1

Given the demanding nature of its mission, the collective units of the Army, not just individual Soldiers, need to be able to withstand and adapt to a wide range of challenges. Therefore, it is important to be able to effectively assess resilience at the team-level and to understand the factors that can enable or diminish it. This article describes the development of a construct valid and psychometrically-sound measure of team resilience - the Team Resilience Scale (TRS). A theoretical framework ...[more]

PMID: 38193875

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Project description:ImportanceThe Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multicomponent study designed to generate actionable recommendations to reduce Army suicides and increase knowledge of risk and resilience factors for suicidality.ObjectivesTo present data on prevalence, trends, and basic sociodemographic and Army experience correlates of suicides and accident deaths among active duty Regular Army soldiers between January 1, 2004, and December 31, 2009, and thereby establish a foundation for future Army STARRS investigations.Design, setting, and participantsAnalysis of trends and predictors of suicide and accident deaths using Army and Department of Defense administrative data systems. Participants were all members of the US Regular Army serving at any time between 2004 and 2009.Main outcomes and measuresDeath by suicide or accident during active Army service.ResultsThe suicide rate rose between 2004 and 2009 among never deployed and currently and previously deployed Regular Army soldiers. The accident death rate fell sharply among currently deployed soldiers, remained constant among the previously deployed, and trended upward among the never deployed. Increased suicide risk was associated with being a man (or a woman during deployment), white race/ethnicity, junior enlisted rank, recent demotion, and current or previous deployment. Sociodemographic and Army experience predictors were generally similar for suicides and accident deaths. Time trends in these predictors and in the Army's increased use of accession waivers (which relaxed some qualifications for new soldiers) do not explain the rise in Army suicides.Conclusions and relevancePredictors of Army suicides were largely similar to those reported elsewhere for civilians, although some predictors distinct to Army service emerged that deserve more in-depth analysis. The existence of a time trend in suicide risk among never-deployed soldiers argues indirectly against the view that exposure to combat-related trauma is the exclusive cause of the increase in Army suicides.

Project description:ImportanceThe US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder.ObjectiveTo develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded posthospitalization care.Design, setting, and participantsThere were 53,769 hospitalizations of active duty soldiers from January 1, 2004, through December 31, 2009, with International Classification of Diseases, Ninth Revision, Clinical Modification psychiatric admission diagnoses. Administrative data available before hospital discharge abstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and medical or pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees and penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations.Main outcomes and measuresSuicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge.ResultsSixty-eight soldiers died by suicide within 12 months of hospital discharge (12.0% of all US Army suicides), equivalent to 263.9 suicides per 100,000 person-years compared with 18.5 suicides per 100,000 person-years in the total US Army. The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and late age of enlistment [OR, 1.9; 95% CI, 1.0-3.5]), criminal offenses (verbal violence [OR, 2.2; 95% CI, 1.2-4.0] and weapons possession [OR, 5.6; 95% CI, 1.7-18.3]), prior suicidality [OR, 2.9; 95% CI, 1.7-4.9], aspects of prior psychiatric inpatient and outpatient treatment (eg, number of antidepressant prescriptions filled in the past 12 months [OR, 1.3; 95% CI, 1.1-1.7]), and disorders diagnosed during the focal hospitalizations (eg, nonaffective psychosis [OR, 2.9; 95% CI, 1.2-7.0]). A total of 52.9% of posthospitalization suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3824.1 suicides per 100,000 person-years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse posthospitalization outcomes (unintentional injury deaths, suicide attempts, and subsequent hospitalizations).Conclusions and relevanceThe high concentration of risk of suicide and other adverse outcomes might justify targeting expanded posthospitalization interventions to soldiers classified as having highest posthospitalization suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects.

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The development and validation of an Army team resilience measure.

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The development and validation of an Army team resilience measure.

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