Evidence for validity of the epidemic-pandemic impacts inventory (brief healthcare module): Internal structure and association with other variables.

The COVID-19 pandemic has subjected healthcare workers to enormous stress. Measuring the impact of this public health emergency is essential to developing strategies that can effectively promote resilience and wellness. The Epidemic-Pandemic Impacts Inventory Supplemental Healthcare Module-Brief Version (EPII-SHMb) was developed to measure impacts among occupational cohorts serving on the front lines of healthcare. While this instrument has been utilized in COVID-19 related studies, little is known about its psychometric properties. This study collects evidence for validity of the EPII-SHMb by evaluating its internal structure and how its scores associate with other variables. Physicians and nursing staff across a large New York health system were cross-sectionally surveyed using an online questionnaire between June and November 2020. Exploratory factor analysis resulted in a 3-factor solution, identifying factors Lack of Workplace Safety (7 items), Death/Dying of Patients (3 items), and Lack of Outside Support (2 items). Internal consistency was high overall and within physician/nursing and gender subgroups (Cronbach's alpha: 0.70 - 0.81). Median scores on Death/Dying of Patients were higher among those who directly cared for COVID-19 patients or worked in COVID-19 hospital units. These results are promising. Additional studies evaluating other dimensions of validity are necessary.

Physician challenges and supports during the first wave of the COVID-19 pandemic: A mixed methods study.

Introduction: During the COVID-19 pandemic, physicians encountered significant COVID-19-related negative experiences and psychological distress in both their personal and professional lives. To understand the factors that negatively impact physician well-being, a number of studies have pointed to multiple work system factors such as excessive workload and workflow interruptions. In addition, studies have shown that positive interpersonal relationships that provide social support may also serve as a buffering role against psychological distress. The aim of our study explores the challenges and sources of support for physicians relative to mental health symptoms. Methods: In this study, We used a cross-sectional study design with a convergent parallel mixed method approach combining both qualitative and quantitative data collected in parallel from a self-report questionnaire immediately following the first wave of COVID-19. The aim of our study explores the challenges and sources of support for physicians relative to mental health symptoms. Results: Of the 457 physicians in the study, the most frequently potential negative occupational experiences were, "Being at risk of contracting COVID-19 from patients/co-workers" (90.5%) and "Contact with distressed family members who cannot be with a loved one" (69.5%). We identified five common themes for main sources of social support (e.g. emotional support from family/friends) and six themes for challenges (e.g., work-related demands exacerbated by the pandemic). Discussion: Our study highlights COVID-19 and other pandemic-related challenges that negatively impacted the mental health of physicians. Interventions that provide targeted organizational supports (e.g. sufficient PPE and child support), as well as specific sources of support (e.g. family and emotional), can attenuate those challenges and stressors experienced during a pandemic.

Assessing the Feasibility and Effectiveness of a Linkage Into Mental Health Care Program for Adults Affected by Hurricane Sandy.

OBJECTIVE: Research indicates that greater exposure to Hurricane Sandy is associated with increased mental health difficulties. This study examined whether Project Restoration, a program that linked adults into mental health care (L2C), was effective in reducing post-Sandy mental health difficulties as compared to a cohort of adults matched on mental health difficulties that were not linked into post-Sandy mental health care. METHODS: Project Restoration participants (n = 52) with elevated self-reported mental health difficulties had the option to enroll into L2C. Project LIGHT (n = 63) used similar methodologies but did not have a L2C component and served as the matched control group. RESULTS: Multivariable modeling showed significant decreases in all mental health difficulties except for depression in the Project Restoration group, whereas there were no significant decreases in LIGHT. The decrease in anxiety from baseline to follow-up was significantly greater for Project Restoration as compared to LIGHT. CONCLUSION: Findings confirm the powerful impact community outreach and treatment have on reducing mental health difficulties after a disaster.

The Impact of Physicians' COVID-19 Pandemic Occupational Experiences on Mental Health.

OBJECTIVE: To examine the association between a number of negative COVID-19 occupational experiences and probable anxiety, depression, and PTSD among physicians. METHODS: Cross-sectional examination of longitudinal registry data consisting of physician personal and occupational well-being. Multivariable logistic regressions were performed to determine the association between negative COVID-19 experiences and outcomes. RESULTS: Of the 620 eligible physicians, approximately half were female (49%), and 71% white with a mean age of 46.51 (SD = 13.28). A one-point increase in negative experience score was associated with a 23% increase in probable anxiety (OR = 1.23, 95% CI: 1.14-1.34), a 23% increase in probable depression (OR = 1.23, 95% CI: 1.13-1.33), and a 41% increase in probable PTSD (OR = 1.41, 95% CI: 1.30-1.52). CONCLUSIONS: Negative pandemic experiences were strongly associated with adverse mental health outcomes while greater resilience was protective.

Evaluating burnout during the COVID-19 pandemic among physicians in a large health system in New York.

PURPOSE: The COVID-19 pandemic has generated significant psychological distress among health care workers worldwide. New York State, particularly New York City and surrounding counties, were especially affected, and experienced over 430,000 COVID-19 cases and 25,000 deaths by mid-August 2020. We hypothesized that physicians and trainees (residents/fellows) who were redeployed outside of their specialty to treat COVID-19 inpatients would have higher burnout. METHODS: We conducted a cross-sectional survey to assess burnout among attending and trainee physicians who provided patient care during the COVID-19 pandemic between March-May 2020 across a diverse health care system in New York. Separate multivariable logistic regressions were performed to determine the association between redeployment and measures of burnout: Emotional Exhaustion (EE) and Depersonalization. Burnout measures were also compared by physician vs trainee status. The differential association between redeployment and outcomes with respect to trainee status was also evaluated. RESULTS: Redeployment was significantly associated with increased odds of EE {OR =1.53, 95% CI: 1.01-2.31} after adjusting for gender and Epidemic-Pandemic Impacts Inventory (EPII) score. Similarly, being a trainee, especially a junior level trainee, was associated with increased odds of EE {OR = 1.59, 95% CI: 1.01-2.51} after adjusting for gender and EPII scores. However, neither redeployment nor trainee status were significantly associated with Depersonalization. Interactions between redeployment and trainee status were not significant for any of the outcomes (p>.05). CONCLUSION: Physicians who were redeployed to treat COVID-19 patients had higher reported measures of EE. Trainees, irrespective of redeployment status, had higher EE as compared with attendings. Additional research is needed to understand the long-term impact of redeployment on burnout among redeployed physicians. Programs to identify and address potential burnout among physicians, particularly trainees, during pandemics may be beneficial.

The impact of climate change on the prevalence of mental illness symptoms.

BACKGROUND: The repercussions of climate change threaten the population with an increased prevalence of extreme climate events. We explored the impact of climate change induced sea level rise (SLR) and tropical cyclone (TC) exposure on mental illness symptom prevalence. METHODS: Using three datasets, TC exposure scores were calculated for each subject to determine how exposure affects posttraumatic stress disorder (PTSD), anxiety, and major depressive disorder (MDD) symptom prevalence. Inundation mapping of various SLR and storm surge (SS) scenarios were performed for the susceptible region of Miami-Dade and Broward counties to determine the population impact of flooding. RESULTS: We found an elevated risk of mental illness symptoms from exposure to more high- intensity TCs and identified demographic variables that may contribute to this risk. Furthermore, inundation mapping demonstrated severe and widespread impact of SLR and SS on the mental health of communities. LIMITATIONS: This study did not include data directly measuring comorbidity, resilience, preparedness, or ability to adapt to climate change. Also, multiple imputation using chained equations may have been imperfect. Furthermore, there is uncertainty in predicting and mapping SLR and TC intensity, which limits complete confidence in our SS predictions. CONCLUSION: The impacts of climate change have been frequently studied in terms of physical health, natural disaster prevalence, and economic impacts, but rarely on mental health burden. However, it is vital that national, state, and local governments develop and deploy plans to address mental health needs along with expenditures for protecting infrastructure, the economy, and physical health from the combined effects of SLR and climate change-induced natural disasters.

Mental Health Effects of Hurricane Sandy on Older Adults.

OBJECTIVES: To examine whether hurricane exposure, lack of access to medical care (LAMC), and displacement during Hurricane Sandy were associated with PTSD and other mental health (MH) symptoms among older adult New York residents. METHODS: Participants (N = 411) were ≥60 years old at the time of survey data collection (1-4 years post-Sandy). Outcomes included PTSD, depression, and anxiety symptoms and stress. Hurricane exposure, displacement, and LAMC were primary predictors. RESULTS: Older adults with greater hurricane exposure had increased PTSD, anxiety, and stress symptoms. LAMC had a strong association (ORadj = 4.11) with PTSD symptoms but was not associated with other MH symptoms. Displacement was not associated with MH outcomes. DISCUSSION: This is the first study to examine exposure, displacement, and LAMC together and to examine their varying impacts on different MH outcomes among older adults post-hurricane. Findings support the importance of disaster preparedness interventions tailored to the MH needs of community-dwelling older adults.

Using Rapid Research Implementation and Collaborations to Assess the Mental Health Impact of the COVID-19 Pandemic Among Community and Clinical Cohorts.

A research initiative was launched during the initial coronavirus disease (COVID-19) outbreak by 3 New York metropolitan area institutions. Collaborators recruited community members and patients from previous research studies to examine COVID-19 experiences and mental health symptoms through self-report surveys. The current report descriptively presents findings from the initial survey characterized by both community and clinical cohorts, and discusses challenges encountered with rapid implementation. The clinical cohort exhibited higher rates of symptoms of mental health difficulties (depression, anxiety, and posttraumatic stress disorder [PTSD]) as compared to the community cohort. COVID-19 positivity rates were similar among both groups and lower than the national average. While both groups reported low rates of job loss, community members reported higher rates of financial difficulty resulting from the pandemic. Findings indicate the need for further collaborative research on the mental health impact of COVID-19.

Predictors of emergency department opioid administration and prescribing: A machine learning approach.

INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acute and chronic pain, particularly within the Emergency Department (ED) setting, where providers are now confronted with balancing pain management and potential abuse. This study aims to examine patient sociodemographic and ED clinical characteristics to comprehensively determine predictors of opioid administration during an ED visit (ED-RX) and prescribing upon discharge (DC-RX). METHODS: ED visit data of patients ≥18 years old from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 2014 to 2017 were used. Opioid prescriptions were determined utilizing Lexicon narcotic drug classifications. Visit characteristics studied included sociodemographic variables, and ED clinical variables, such as chief complaint, and discharge diagnosis. Machine learning methods were used to determine predictors of ED-RX and DC-RX and weighted logistic regressions were performed using selected predictors. RESULTS: Of the 44,227 ED visits identified, patients tended to be female (57.4%), and White (74.2%) with an average age of 46.4 years (SE = 0.3). Weighted proportions of ED-RX and DC-RX were 23.2% and 18.9%, respectively. The strongest predictors of ED-RX were CT scan ordered (OR = 2.18, 95% CI = 1.84-2.58), abdominal pain (OR = 1.93, 95% CI:1.59-2.34) and back pain (OR = 1.81, 95% CI:1.45-2.27). Tooth pain (OR = 6.94, 95% CI = 4.40-10.94) and fracture injury diagnoses (OR = 3.76, 95% CI = 2.72-5.19) were the strongest predictors of DC-RX. CONCLUSIONS: These findings demonstrate the utility of machine learning for understanding clinical predictors of opioid administration and prescribing in the ED, and its potential in informing standardized prescribing recommendations and guidelines.