Characterizing Physician Suicide in the U.S. (2003-2017)

OBJECTIVES/GOALS: Suicide is a growing public health problem with the rate of suicide increasing 33% since 1999. Physicians are not immune to this growing problem. Physicians represent a unique population that has been understudied with respect to suicide. The aim of the study is to investigate risk factors unique to physicians compared to the general population. METHODS/STUDY POPULATION: Using data from the National Violent Death Reporting System, a nationwide CDC database which aggregates information on violent deaths, we extracted demographic and circumstantial data on 172,135 suicide decedents ≥ 25 years old in participating states from 2003-2017. Of these, we found complete information regarding demographics, occupation, and circumstance for 160,159 suicide decedents. We separated suicide decedents by physician-status and compared 795 physicians to 159,364 non-physician decedents using chi-squared test. We then used multivariate logistic regression to examine differences in suicide method and circumstance by physician-status status, controlling for age, sex, and race. RESULTS/ANTICIPATED RESULTS: Compared to non-physicians, physicians were more likely to be male (84.5% vs 77.3%, p<0.001) and older (45.1% ≥65 vs. 17.8%, p<0.001). Controlling for demographics, physicians were less likely to complete suicide by firearm (aOR=0.60, 95%CI=0.51-0.71) but were more likely to suicide by overdose (aOR=1.41, 95%CI=1.13-1.77) or cutting (aOR=2.81, 95%CI=2.03-3.88). Physicians were more likely to have job related stressors (aOR=2.24, 95%Cl=1.83-2.74) and legal problems (aOR=2.34, 95%Cl=1.70-3.21). Physicians were also more likely to leave a suicide note (aOR=1.48, 95%Cl=1.26-1.73) but were less likely to be intoxicated on alcohol at time of death (aOR=0.76, 95%Cl=0.62-0.93). Physicians were no different than non-physicians in terms of financial or relational stressors. DISCUSSION/SIGNIFICANCE: Physicians are more likely to be male and older. Given their medical training, overdose and cutting may be more accessible and lethal methods for physicians. Physicians are more likely to leave a suicide note and less likely to be intoxicated, which may imply less impulsivity. Job stressors and legal problems may also contribute to physician suicide.

An investigation of COVID-19 related worry in a United States population sample.

BACKGROUND: Although general anxiety has increased markedly since the onset of the COVID-19 pandemic, little has been reported about the demographic distribution of COVID-19 related worry, its relationship with psychological features, and its association with depression symptoms in the United States (US). METHODS: 2117 participants, selected to represent the age, gender, and race/ethnic distributions of the US population, completed an online survey. Analysis of variance and correlation analyses were used to assess relationships between the COVID-19 related worry score and demographic characteristics, past psychiatric diagnoses, personality dimensions, and current psychological symptoms. Logistic regression was used to evaluate the association between the COVID-19 worry score and depression symptoms. RESULTS: The COVID-19 worry score was markedly higher in younger (18-49 year-olds) than older participants, and moderately higher in men, those who were married or cohabiting, with post-college education, and/or living in large urban areas. The COVID-19 worry score also was markedly higher in those who reported having been diagnosed with a psychiatric disorder. The COVID-19 worry score correlated with neuroticism, current psychological symptoms, and COVID-19 risk and COVID-19 behavior scores. The COVID-19 worry score was associated with current depression symptoms (OR = 1.10, 95% CI = 1.09-1.11; p < 0.001) in univariable models and remained significant after adjustment for other correlates of depression, including COVID-19 risk. CONCLUSIONS: In this US sample, the COVID-19 worry score was inversely related to age, strongly related to psychological symptoms, and independently associated with depression symptoms. These findings have implications for the community mental health response to the COVID-19 pandemic in the US.

Distress in the time of COVID-19: Understanding the distinction between COVID-19 specific mental distress and depression among United States adults.

BACKGROUND: During the COVID-19 pandemic, many Americans have experienced mental distress, which may be partially characterized by a rise in mental illnesses. However, COVID-19 specific psychological distress may also be separate from diagnosable conditions, a distinction that has not been well established in the context of the pandemic. METHODS: Data came from an online survey of US adults collected in March 2020. We used factor analysis to assess the relationship between COVID-19 related mental distress and depressive symptoms. Using four questions on psychological distress modified for COVID-19 and eight depressive symptoms, we conducted an exploratory factor analysis (EFA) to identify the factor structure and then estimated a confirmatory factor analysis (CFA). RESULTS: The EFA model indicated a two-factor solution, where the COVID-19 distress items loaded onto the first factor and depression items loaded onto the second. Only two items cross-loaded between factors: feeling fearful and being bothered by things that do not usually bother the participant. The CFA indicated that this factor structure fit the data adequately (RMSEA=0.106, SRMR=0.046, CFI=0.915, TLI=0.890). LIMITATIONS: It is possible that there are additional important symptoms of COVID-19 distress that were not included. Depression symptoms were measured via the CES-D-10, which while validated is not equivalent to a clinician diagnosis. CONCLUSIONS: As COVID-19 related mental distress appears to be distinct from, though related to, depression, public health responses must consider what aspects of depression treatment may apply to this phenomenon. For COVID-related distress, it may be more appropriate to treat symptomatically and with supportive psychotherapy.

Contamination-related behaviors, obsessions, and compulsions during the COVID-19 pandemic in a United States population sample.

BACKGROUND: Contamination-prevention behaviors such as mask wearing and physical distancing are crucial to reduce coronavirus transmission during the COVID-19 pandemic. We hypothesized that engagement in these behaviors could provoke obsessions and phobias in vulnerable individuals in the community. METHODS: A total of 2117 participants, systematically selected to represent the age, gender, and race distributions of the US population, completed an online survey that assessed demographic characteristics, clinical features, COVID-19 risks, and COVID-19 contamination-prevention behaviors. Logistic regression was used to estimate the magnitude of the relationships between the COVID-19 behavior score and clinically significant contamination obsessions, contamination compulsions, and pre-COVID-19 to current change in obsessive-compulsive symptom scores. RESULTS: The COVID-19 behavior score was significantly associated with contamination obsessions (odds ratio (OR) = 1.15, 95% CI = 1.12-1.16; p < 0.001) and contamination phobias (OR = 1.14, 95% CI = 1.12-1.16; p < 0.001). The COVID-19 behavior score also was associated with pre-pandemic to current increase in the overall obsessive-compulsive symptom score (OR = 1.16, 95% CI = 1.09-1.23; p < 0.001), as well as increase in obsessive-compulsive symptom score excluding washing items (OR = 1.13, 95% CI = 1.07-1.19; p < 0.001). The magnitude of these relationships did not appreciably change, after adjustment for other variables associated with the outcomes. Moreover, the relationship was significant in those with or without OCD, and in individuals with different levels of doubt and COVID-19 risk. CONCLUSIONS: Contamination safety measures are critical for reducing the spread of COVID-19 in the community. However, they may be related to the development of contamination-related symptoms and OCD in vulnerable individuals, complicating the diagnosis and treatment of mental disorders during this period.

Fatal self-injury in the United States, 1999-2018: Unmasking a national mental health crisis.

BACKGROUND: Suicides by any method, plus 'nonsuicide' fatalities from drug self-intoxication (estimated from selected forensically undetermined and 'accidental' deaths), together represent self-injury mortality (SIM)-fatalities due to mental disorders or distress. SIM is especially important to examine given frequent undercounting of suicides amongst drug overdose deaths. We report suicide and SIM trends in the United States of America (US) during 1999-2018, portray interstate rate trends, and examine spatiotemporal (spacetime) diffusion or spread of the drug self-intoxication component of SIM, with attention to potential for differential suicide misclassification. METHODS: For this state-based, cross-sectional, panel time series, we used de-identified manner and underlying cause-of-death data for the 50 states and District of Columbia (DC) from CDC's Wide-ranging Online Data for Epidemiologic Research. Procedures comprised joinpoint regression to describe national trends; Spearman's rank-order correlation coefficient to assess interstate SIM and suicide rate congruence; and spacetime hierarchical modelling of the 'nonsuicide' SIM component. FINDINGS: The national annual average percentage change over the observation period in the SIM rate was 4.3% (95% CI: 3.3%, 5.4%; p<0.001) versus 1.8% (95% CI: 1.6%, 2.0%; p<0.001) for the suicide rate. By 2017/2018, all states except Nebraska (19.9) posted a SIM rate of at least 21.0 deaths per 100,000 population-the floor of the rate range for the top 5 ranking states in 1999/2000. The rank-order correlation coefficient for SIM and suicide rates was 0.82 (p<0.001) in 1999/2000 versus 0.34 (p = 0.02) by 2017/2018. Seven states in the West posted a ≥ 5.0% reduction in their standardised mortality ratios of 'nonsuicide' drug fatalities, relative to the national ratio, and 6 states from the other 3 major regions a >6.0% increase (p<0.05). INTERPRETATION: Depiction of rising SIM trends across states and major regions unmasks a burgeoning national mental health crisis. Geographic variation is plausibly a partial product of local heterogeneity in toxic drug availability and the quality of medicolegal death investigations. Like COVID-19, the nation will only be able to prevent SIM by responding with collective, comprehensive, systemic approaches. Injury surveillance and prevention, mental health, and societal well-being are poorly served by the continuing segregation of substance use disorders from other mental disorders in clinical medicine and public health practice. FUNDING: This study was partially funded by the National Centre for Injury Prevention and Control, US Centers for Disease Control and Prevention (R49CE002093) and the US National Institute on Drug Abuse (1UM1DA049412-01; 1R21DA046521-01A1).