Dataset Information

Utilization of and barriers to treatment among suicide decedents: Results from the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS).

ABSTRACT: OBJECTIVE:To examine suicide decedents' use of mental health treatment and perceived barriers to initiating and maintaining treatment. METHOD:We used a psychological autopsy study conducted as part of the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS) that compared suicide decedents (n = 135) to soldiers in two control conditions: those propensity-score-matched on known sociodemographic and Army history variables (n = 137) and those with a history of suicidal thoughts in the past 12 months (n = 118). Informants were next of kin and Army supervisors. RESULTS:Results revealed that suicide decedents were significantly more likely to be referred to services and to use more intensive treatments (e.g., medication, overnight stay in hospital) than propensity-matched controls. However, decedents also were more likely to perceive significant barriers to treatment-seeking. All differences observed in the current study were between propensity-matched controls and decedents, with no observed differences between suicide ideators and decedents. CONCLUSIONS:Many suicide decedents used some form of mental health care at some point in their lives; however, they also were more likely than propensity-matched controls to perceive barriers that may have prevented service use. The lack of differences between suicide ideators and decedents suggests that more information is needed, beyond knowledge of treatment utilization or perceived barriers, to identify and intervene on those at highest risk for suicide. These findings underscore the importance of reducing attitudinal barriers that may deter suicidal soldiers from seeking treatment, and also improving risk detection among those who are attending treatment. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

SUBMITTER: Zuromski KL

PROVIDER: S-EPMC6625932 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Utilization of and barriers to treatment among suicide decedents: Results from the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS).

Zuromski Kelly L KL Dempsey Catherine L CL Ng Tsz Hin Hinz THH Riggs-Donovan Charlotte A CA Brent David A DA Heeringa Steven G SG Kessler Ronald C RC Stein Murray B MB Ursano Robert J RJ Benedek David D Nock Matthew K MK

Journal of consulting and clinical psychology 20190422 8

<h4>Objective</h4>To examine suicide decedents' use of mental health treatment and perceived barriers to initiating and maintaining treatment.<h4>Method</h4>We used a psychological autopsy study conducted as part of the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS) that compared suicide decedents (n = 135) to soldiers in two control conditions: those propensity-score-matched on known sociodemographic and Army history variables (n = 137) and those with a history of s ...[more]

PMID: 31008631

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Project description:Importance:There has been limited systematic examination of whether risk of suicide attempt (SA) among US Army soldiers is associated with time-related deployment variables, such as time in service before first deployment, duration of first deployment, and dwell time (DT) (ie, length of time between deployments). Objective:To examine the associations of time-related deployment variables with subsequent SA among soldiers who had deployed twice. Design, Setting, and Participants:Using administrative data from January 1, 2004, through December 31, 2009, this longitudinal, retrospective cohort study identified person-month records of active-duty Regular Army enlisted soldiers who had served continuously in the US Army for at least 2 years and deployed exactly twice. The dates of analysis were March 1 to December 1, 2017. There were 593 soldiers with a medically documented SA during or after their second deployment. An equal-probability sample of control person-months was selected from other soldiers with exactly 2 deployments (n?=?19?034). Logistic regression analyses examined the associations of time in service before first deployment, duration of first deployment, and DT with subsequent SA. Main Outcomes and Measures:Suicide attempts during or after second deployment were identified using US Department of Defense Suicide Event Report records and International Classification of Diseases, Ninth Revision, Clinical Modification E950 to E958 diagnostic codes. Independent variables were constructed from US Army personnel records. Results:Among 593 SA cases, most were male (513 [86.5%]), white non-Hispanic (392 [66.1%]), at least high school educated (477 [80.4%]), currently married (398 [67.1%]), and younger than 21 years when they entered the US Army (384 [64.8%]). In multivariable models adjusting for sociodemographics, service-related characteristics, and previous mental health diagnosis, odds of SA during or after second deployment were higher among soldiers whose first deployment occurred within the first 12 months of service vs after 12 months (odds ratio, 2.0; 95% CI, 1.6-2.4) and among those with a DT of 6 months or less vs longer than 6 months (odds ratio, 1.6; 95% CI, 1.2-2.0). Duration of first deployment was not associated with subsequent SA. Analysis of 2-way interactions indicated that the associations of early deployment and DT with SA risk were not modified by other characteristics. Multivariable population-attributable risk proportions were 14.2% for deployment within the first 12 months of service and 4.0% for DT of 6 months or less. Conclusions and Relevance:Time in service before first deployment and DT are modifiable risk factors for SA risk among soldiers.

Project description:ImportanceThe Department of Veterans Affairs recently began requiring annual suicide ideation (SI) screening of all patients and additional structured questions for patients reporting SI. Related changes are under consideration at the Department of Defense. These changes will presumably lead to higher SI detection, which will require hiring additional clinical staff and/or developing a clinical decision support system to focus in-depth suicide risk assessments on patients considered high risk.ObjectiveTo carry out a proof-of-concept study for whether a brief structured question battery from a survey of US Army soldiers can help target in-depth suicide risk assessments by identifying soldiers with self-reported lifetime SI who are at highest risk of subsequent administratively recorded nonfatal suicide attempts (SAs).Design, setting, and participantsCohort study with prospective observational design. Data were collected from May 2011 to February 2013. Participants were followed up through December 2014. Analyses were conducted from March to November 2018. A logistic regression model was used to assess risk for subsequent administratively recorded nonfatal SAs. A total of 3649 Regular Army soldiers in 3 Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) surveys who reported lifetime SI were followed up for 18 to 45 months from baseline to assess administratively reported nonfatal SAs.Main outcomes and measuresOutcome was administratively recorded nonfatal SAs between survey response and December 2014. Predictors were survey variables.ResultsThe 3649 survey respondents were 80.5% male and had a median (interquartile range) age of 29 (25-36) years (range, 18-55 years); 69.4% were white non-Hispanic, 14.6% were black, 9.0% were Hispanic, 7.0% were another racial/ethnic group. Sixty-five respondents had administratively recorded nonfatal SAs between survey response and December 2014. One additional respondent died by suicide without making a nonfatal SA but was excluded from analysis based on previous evidence that predictors are different for suicide death and nonfatal SAs. Significant risk factors were SI recency (odds ratio [OR], 7.2; 95% CI, 2.9-18.0) and persistence (OR, 2.6; 95% CI, 1.0-6.8), positive screens for mental disorders (OR, 26.2; 95% CI, 6.1-112.0), and Army career characteristics (OR for junior enlisted rank, 30.0; 95% CI, 3.3-272.5 and OR for senior enlisted rank, 6.7; 95% CI, 0.8-54.9). Cross-validated area under the curve was 0.78. The 10% of respondents with highest estimated risk accounted for 39.2% of subsequent SAs.Conclusions and relevanceResults suggest the feasibility of developing a clinically useful risk index for SA among soldiers with SI using a small number of self-report questions. If implemented, a continuous quality improvement approach should be taken to refine the structured question series.

Project description:The 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.To 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.There 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.Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge.Sixty-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).The 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.

Dataset Information

Utilization of and barriers to treatment among suicide decedents: Results from the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS).

Publications

Utilization of and barriers to treatment among suicide decedents: Results from the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS).

Similar Datasets

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