Responding to Repeated Disasters: Time to Recovery in Public Health Workers.

OBJECTIVE: In times of repeated disaster events, including natural disasters and pandemics, public health workers must recover rapidly to respond to subsequent events. Understanding predictors of time to recovery and developing predictive models of time to recovery can aid planning and management. METHODS: We examined 681 public health workers (21-72 y, M(standard deviation [SD]) = 48.25(10.15); 79% female) 1 mo before (T1) and 9 mo after (T2) the 2005 hurricane season. Demographics, trauma history, social support, time to recover from previous hurricane season, and predisaster work productivity were assessed at T1. T2 assessed previous disaster work, initial emotional response, and personal hurricane injury/damage. The primary outcome was time to recover from the most recent hurricane event. RESULTS: Multivariate analyses found that less support (T1; odds ratio [OR] = .74[95% confidence interval [CI] = .60-.92]), longer previous recovery time (T1; OR = 5.22[95%CI = 3.01-9.08]), lower predisaster work productivity (T1; OR = 1.98[95%CI = 1.08-3.61]), disaster-related personal injury/damage (T2; OR = 3.08[95%CI = 1.70-5.58]), and initial emotional response (T2; OR = 1.71[95%CI = 1.34-2.19]) were associated with longer recovery time (T2). CONCLUSIONS: Recovery time was adversely affected in disaster responders with a history of longer recovery time, personal injury/damage, lower work productivity following prior hurricanes, and initial emotional response, whereas responders with social support had shorter recovery time. Predictors of recovery time should be a focus for disaster preparedness planners.

Disaster Behavioral Health Research Involving Military Facilities and Populations after Mass Violence: Insights from the 2013 Washington Navy Yard Shooting.

Research on disaster behavioral health presents significant methodological challenges. Challenges are even more complex for research on mass violence events that involve military members, families, and communities, due to the cultural and logistical considerations of working with this population. The current article aims to inform and educate on this specialized area of research, by presenting a case study on the experience of designing and conducting disaster behavioral health research after a mass violence event in a military setting: the 2013 mass shooting at the Washington Navy Yard, in Washington, D.C. Using the case example, the authors explore methodological challenges and lessons learned from conducting research in this context, and provide guidance for future researchers.

Longitudinal Study of Hurricane Preparedness Behaviors: Influence of Collective Efficacy.

OBJECTIVE: Community characteristics, such as collective efficacy, a measure of community strength, can affect behavioral responses following disasters. We measured collective efficacy 1 month before multiple hurricanes in 2005, and assessed its association to preparedness 9 months following the hurricane season. METHODS: Participants were 631 Florida Department of Health workers who responded to multiple hurricanes in 2004 and 2005. They completed questionnaires that were distributed electronically approximately 1 month before (6.2005-T1) and 9 months after (6.2006-T2) several storms over the 2005 hurricane season. Collective efficacy, preparedness behaviors, and socio-demographics were assessed at T1, and preparedness behaviors and hurricane-related characteristics (injury, community-related damage) were assessed at T2. Participant ages ranged from 21-72 (M(SD) = 48.50 (10.15)), and the majority were female (78%). RESULTS: In linear regression models, univariate analyses indicated that being older (B = 0.01, SE = 0.003, P < 0.001), White (B = 0.22, SE = 0.08, P < 0.01), and married (B = 0.05, SE = 0.02, p < 0.001) was associated with preparedness following the 2005 hurricanes. Multivariate analyses, adjusting for socio-demographics, preparedness (T1), and hurricane-related characteristics (T2), found that higher collective efficacy (T1) was associated with preparedness after the hurricanes (B = 0.10, SE = 0.03, P < 0.01; and B = 0.47, SE = 0.04, P < 0.001 respectively). CONCLUSION: Programs enhancing collective efficacy may be a significant part of prevention practices and promote preparedness efforts before disasters.

Risk of suicide attempt in reserve versus active component soldiers during deployment to the wars in Iraq and Afghanistan.

INTRODUCTION: Little is known about the degree to which U.S. Army soldiers in the Reserve Components (Army National Guard and Army Reserve) and Active Component (Regular Army) differ with respect suicide attempt (SA) risk during high-stress times, such as deployment. METHOD: Using administrative person-month records of enlisted soldiers on active duty during 2004-2009, we identified 1170 soldiers with a medically documented SA during deployment and an equal-probability control sample of other deployed soldiers (n = 52,828 person-months). Logistic regression analyses examined the association of Army component (Guard/Reserve vs. Regular) with SA before and after adjusting for socio-demographic and service-related predictors. RESULTS: Guard/Reserve comprised 32.1% of enlisted soldiers and 19.7% of suicide attempters in-theater, with a SA rate of 81/100,000 person-years (vs. 157/100,000 person-years among Regular; rate ratio = 0.5 [95% CI = 0.5-0.6]). Risk peaked near mid-deployment for both groups but was consistently lower for Guard/Reserve throughout deployment. Guard/Reserve had lower odds of SA after adjusting for covariates (OR = 0.7 [95%CI = 0.6-0.8]). Predictors of SA were similar between components. CONCLUSIONS: Guard/Reserve and Regular soldiers had similar patterns and predictors of SA during deployment, but Guard/Reserve had lower risk even after controlling for important risk factors. Additional research is needed to understand the lower SA risk among Guard/Reserve in-theater.

Predictors of Suicide Attempt Within 30 Days After First Medically Documented Suicidal Ideation in U.S. Army Soldiers.

OBJECTIVE: The authors sought to identify predictors of imminent suicide attempt (within 30 days) among U.S. Army soldiers following their first documented suicidal ideation. METHODS: Using administrative data from the Army Study to Assess Risk and Resilience in Servicemembers, the authors identified 11,178 active-duty Regular Army enlisted soldiers (2006-2009) with medically documented suicidal ideation and no prior medically documented suicide attempts. The authors examined risk factors for suicide attempt within 30 days of first suicidal ideation using logistic regression analyses, including sociodemographic and service-related characteristics, psychiatric diagnoses, physical health care visits, injuries, and history of family violence or crime perpetration or victimization. RESULTS: Among soldiers with first documented suicidal ideation, 830 (7.4%) attempted suicide, 46.3% of whom (N=387) attempted suicide within 30 days (rate, 35.4 per 1,000 soldiers). Following a series of multivariate analyses, the final model identified females (odds ratio=1.3, 95% CI=1.0, 1.8), combat medics (odds ratio=1.6, 95% CI=1.1, 2.2), individuals with an anxiety disorder diagnosis prior to suicidal ideation (odds ratio=1.3, 95% CI=1.0, 1.6), and those who received a sleep disorder diagnosis on the same day as the recorded suicidal ideation (odds ratio=2.3, 95% CI=1.1, 4.6) as being more likely to attempt suicide within 30 days. Black soldiers (odds ratio=0.6, 95% CI=0.4, 0.9) and those who received an anxiety disorder diagnosis on the same day as suicidal ideation (odds ratio=0.7, 95% CI=0.5, 0.9) were less likely. CONCLUSIONS: Suicide attempt risk is highest in the first 30 days following ideation diagnosis and is more likely among women, combat medics, and soldiers with an anxiety disorder diagnosis before suicidal ideation and a same-day sleep disorder diagnosis. Black soldiers and those with a same-day anxiety disorder diagnosis were at decreased risk. These factors may help identify soldiers at imminent risk of suicide attempt.

Predicting clinically significant response to primary care treatment for depression from electronic health records of veterans.

OBJECTIVE: To reduce delays in referral to specialty mental health care, we evaluated clinical prediction models estimating the likelihood of response to primary care treatment of depression in the VA healthcare system. METHODS: We included patients with a primary care depression diagnosis between October 1, 2015 and December 31, 2017, an initial PHQ-9 score ≥ 10 within 30 days, a follow-up PHQ-9 score within 2-8 months, and no specialty mental health care within three months prior to depression diagnosis. We evaluated eight ordinary least squares regression models, each with a different procedure for selecting predictors of percentage change in PHQ-9 score from baseline to follow-up. Predictors included patient characteristics from electronic health records and neighborhood characteristics from US census data. We repeated each modeling procedure 1,000 times, using different training and validation sets of patients. We used R2, RMSE, and MAE to evaluate model performance. RESULTS: The final cohort included 3,464 patients. The two best performing models included multiple iterations of backwards stepwise variable selection with R2 of 0.07, RMSE of 41.45, MAE of 33.30; and R2 of 0.07, RMSE of 41.39, MAE of 33.28. LIMITATIONS: Wide follow-up interval, possibility of misclassification error due to use of EHR data. CONCLUSIONS: Model performance did not suggest its use as a guide in clinical decision-making. Future research should explore whether obtaining additional risk factor data from patients (e.g., duration of symptoms) or modeling PHQ-9 scores over a narrower time interval improves performance of clinical risk prediction tools for depression.

Exposure to Workplace Trauma and Posttraumatic Stress Disorder Among Intern Physicians.

Importance: Physicians are exposed to traumatic events during their work, but the impact and outcomes of these exposures are understudied. Objective: To determine the prevalence and associations of work-related trauma exposure and posttraumatic stress disorder (PTSD) among a cohort of resident physicians in their internship year of training. Design, Setting, and Participants: This cohort study involved physicians entering internship at US residency programs nationwide in 2018. Participants completed a baseline survey 1 to 2 months before commencing internship, as well as follow-up surveys at 4 time points during internship. Statistical analysis was performed from April 2020 to January 2021. Exposures: Twelve months of internship. Main Outcomes and Measures: Prevalence of work-related trauma and prevalence of PTSD among those who experienced work-related trauma. Trauma exposure and PTSD symptoms were assessed using the Primary Care PTSD Screen for Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (PC-PTSD-5). Risk factors assessed included depression, anxiety, early family environment, stressful life experiences, medical specialty, hours worked, and concern about medical errors. Results: Among 1134 interns who completed the PC-PTSD-5 at month 12 of internship, 665 (58.6%) were female and 695 (61.6%) were non-Hispanic White; the mean (SD) age was 27.52 (2.50) years. There were 640 interns (56.4%) who reported work-related trauma exposure; among these interns with trauma exposure, 123 (19.0%) screened positive for PTSD. Overall, 123 of 1134 training physicians (10.8%) screened positive for PTSD by the end of internship year, as compared with a 12-month PTSD prevalence rate of 3.6% in the general population. Multivariable logistic regression analyses, adjusting for demographic characteristics, indicated that risk factors associated with trauma exposure included non-Hispanic White race/ethnicity (odds ratio [OR], 1.51 [95% CI, 1.14-2.01]; P = .004), more hours worked (OR, 1.01 [95% CI, 1.00-1.03]; P = .03), early family environment (OR, 1.03 [95% CI, 1.01-1.05]; P < .001), and stressful life experiences at baseline (OR, 1.46 [95% CI, 1.06-2.01]; P = .02). Risk factors associated with PTSD were being unmarried (OR, 2.00 [95% CI, 1.07-3.73]; P = .03) and non-Hispanic White (OR, 1.77 [95% CI, 1.01-3.11]; P = .05), concern about medical errors (OR, 1.21 [95% CI, 1.00-1.46]; P = .05), stressful life experiences during internship (OR, 1.43 [95% CI, 1.14-1.81]; P = .002), depression at month 12 of internship (OR, 2.52 [95% CI = 1.36-4.65], P = .003), and anxiety at month 12 of internship (OR, 2.14, [95% CI, 1.13-4.04]; P = .02). Conclusions and Relevance: This study found that work-related PTSD was 3 times more prevalent among intern physicians than the general population. These findings suggest that effective interventions to reduce trauma exposure and mitigate the effects of trauma are needed.

Sex Differences in US Army Suicide Attempts During the Wars in Iraq and Afghanistan.

OBJECTIVE: To examine sex differences in risk for administratively documented suicide attempt (SA) among US Army soldiers during the Iraq/Afghanistan wars. METHOD: Using administrative person-month records of Regular Army enlisted soldiers from 2004 to 2009, we identified 9650 person-months with a first documented SA and an equal-probability control sample (n=153,528 person-months). Person-months were weighted to the population and pooled over time. After examining the association of sex with SA in a logistic regression analysis, predictors were examined separately among women and men. RESULTS: Women (an estimated 13.7% of the population) accounted for 25.2% of SAs and were more likely than men to attempt suicide after adjusting for sociodemographic, service-related, and mental health diagnosis (MHDx) variables (odds ratio=1.6; 95% confidence interval, 1.5-1.7). Women with increased odds of SA in a given person-month were younger, non-Hispanic White, less educated, in their first term of enlistment, never or previously deployed (vs. currently deployed), and previously received a MHDx. The same variables predicted SA among men. Interactions indicated significant but generally small differences between women and men on 6 of the 8 predictors, the most pronounced being time in service, deployment status, and MHDx. Discrete-time survival models examining risk by time in service demonstrated that patterns for women and men were similar, and that women's initially higher risk diminished as time in service increased. CONCLUSIONS: Predictors of documented SAs are similar for US Army women and men. Differences associated with time in service, deployment status, and MHDx require additional research. Future research should consider stressors that disproportionately affect women.

Developing an Advocacy Curriculum: Lessons Learned from a National Survey of Psychiatric Residency Programs.

OBJECTIVE: Advocacy by physicians, defined as a physician's public support for causes, policies, or actions that advance patient health, is increasingly recognized as a professional responsibility as well as a core competency in medical training. The authors describe a survey they conducted on advocacy curricula in psychiatric residency training programs across the USA, from their vantage point as members of an advocacy council within a medical professional organization. METHODS: Between Fall 2016 and Winter 2018, psychiatry residency programs with advocacy curricula were identified through personal communications with stakeholders as well as a blast email to the American Association of Directors of Psychiatric Residency Training. Semi-structured interviews were conducted with program leaders at residencies with an advocacy curriculum to collect detailed information on these curricula. RESULTS: Seven psychiatry residency programs with advocacy curricula were identified. All seven programs agreed to be interviewed and are included in the survey results. CONCLUSIONS: Lessons learned from this survey include how to approach the development of an advocacy curriculum; the components, attributes, and supports of an effective curriculum; and the challenges commonly encountered by medical educators trying to implement such a curriculum. The authors hope that these observations will contribute to the development of a best practice guideline for advocacy teaching within psychiatry and perhaps for other medical disciplines.

Increased Cardiovascular Disease Risk in Veterans With Mental Illness.

BACKGROUND: Although previous studies have demonstrated an association between various mental illnesses and cardio-cerebrovascular disease (CVD) risk, few have compared the strength of association between different mental illnesses and CVD risk. METHODS AND RESULTS: We assessed the association of psychiatric diagnoses (psychosis, bipolar disorder, depression, anxiety, and posttraumatic stress disorder) with major CVD outcomes (CVD events and CVD mortality) over 5 years, using a national primary prevention cohort of military veterans receiving care in the Department of Veterans Affairs. Data were linked from the Department of Veterans Affairs, Centers for Medicare and Medicaid Services, and Centers for Disease Control and Prevention National Death Index databases. We used multiple logistic regression to examine how the presence of a psychiatric diagnosis at baseline (2005-2009) was associated with CVD outcomes over the next 5 years (January 1, 2010, to December 31, 2014) stratified by sex, adjusting for other psychiatric diagnoses, as well as age, race, conventional CVD risk factors as calculated by the Veterans Affairs Risk Score-CVD, and antipsychotic and anticonvulsant/mood stabilizer medication prescriptions. Approximately 1.52 million men and over 94 000 women met our inclusion criteria. In the fully adjusted model, among men, we found that depression, psychosis, and bipolar disorder were predictive of both CVD events and CVD mortality, with psychosis having the largest effect size (eg, adjusted odds ratio, 1.48; CI, 1.41-1.56; P<0.001 for psychosis and CVD mortality). Among women, only psychosis and bipolar disorder were predictive of both CVD events and CVD mortality, again with psychosis having the largest effect size (eg, adjusted odds ratio, 1.97; CI, 1.52-2.57; P<0.001 for psychosis and CVD mortality). Anxiety was associated with only CVD mortality in men, and depression was associated with only CVD events in women. CONCLUSIONS: Consistent with the hypothesis that chronic stress leads to greater CVD risk, multiple mental illnesses were associated with an increased risk of CVD outcomes, with more severe mental illnesses (eg, primary psychotic disorders) having the largest effect sizes even after controlling for other psychiatric diagnoses, conventional CVD risk factors, and psychotropic medication use.

Recognizing Trauma In The Healer.

A patient's painful death leads a physician to ponder the traumatic nature of the healer's role and the need to promote resilience in medicine.

Peritraumatic distress: A review and synthesis of 15 years of research.

CONTEXT: Although the subjective trauma exposure criterion was removed from the DSM-5 criteria set for posttraumatic stress disorder (PTSD), emerging literature suggests that peritraumatic distress may be useful in predicting outcomes after exposure to a stressful event. METHOD: We conducted a comprehensive review of the literature examining the association between peritraumatic distress and PTSD and other psychiatric outcomes. The 57 studies herein varied in both experimental design and target populations. RESULTS: Forty-eight studies found associations between peritraumatic distress and PTSD outcome measures, 23 found associations between peritraumatic distress and other psychiatric outcomes, and three found associations between peritraumatic distress and PTSD-related symptoms or other psychiatric outcomes after non-Criterion A stressful events by DSM-5 criteria. CONCLUSION: Peritraumatic distress is associated with PTSD symptom severity, other psychiatric symptoms, and severity of PTSD-related symptoms after exposure to non-Criterion A events, suggesting that peritraumatic distress is a risk factor for various psychiatric outcomes and furthering our understanding of the impact of subjective experience on trauma psychopathology.

Prospective association between major depressive disorder and leukocyte telomere length over two years.

BACKGROUND: Reduced leukocyte telomere length (LTL) has been found to be associated with multiple common age-related diseases, including heart disease, diabetes, and cancer. A link has also been suggested between shortened LTL and major depressive disorder (MDD), suggesting that MDD may be a disease of accelerated aging. This prospective, longitudinal study examined the association between depression diagnosis at baseline and change in LTL over two years in a well-characterized sample of N = 117 adults with or without MDD at baseline, using rigorous entry criteria. METHODS: Participants aged 18-70 were assessed with validated instruments by trained, doctoral-level clinician raters at baseline and at two-year follow-up, and blood samples were obtained at both visits. LTL was assayed under identical methods using quantitative polymerase chain reaction (qPCR). The effect of an MDD diagnosis at baseline on change in LTL over two years was examined via hierarchical mixed models, which included potential confounders. RESULTS: Individuals with MDD at baseline had greater LTL shortening over two years than individuals without MDD (p = 0.03), even after controlling for differences in age, sex, and body mass index (BMI). In the sub-sample of individuals with MDD diagnoses at baseline, no significant associations between LTL change and symptom severity or duration were found. CONCLUSION: A baseline diagnosis of MDD prospectively predicted LTL shortening over two years. Our results provide further support for MDD as a disease associated with accelerated aging in a well-characterized sample using validated, clinician-rated measures.