Longitudinal Mental Health Outcomes of Third-year Medical Students Rotating Through the Wards During COVID-19.

This study investigated third year medical students' psychological well-being during clinical rotations at Mount Sinai hospitals in New York City during the COVID-19 pandemic. All students (n = 147) starting rotations (psychiatry, surgery, obstetrics-gynecology, neurology, pediatrics, and medicine) could participate in quarterly, online, anonymous surveys comprised of validated screeners for: psychological symptoms, risk, coping, and protective factors, demographics, COVID-19 worries, and stressful clerkship-related events. Associations between variables were examined with Chi-squared, Fisher's exact, t-, Wilcoxon Rank Sum, one-way ANOVA, and McNemar tests. Significant univariate predictors of psychological distress were included in stepwise multivariable linear regression models. The baseline survey was completed by 110 (74.8%) students; ninety-two (62.6%) completed at least one other survey. During the year, 68 (73.9%) students screened positive for depression, anxiety, or PTSD. The prevalence of psychiatric symptoms peaked in June 2020 without significant changes in average scores over time. COVID-19 worries decreased over time but did not influence psychological symptoms at year-end. Eighty-three students (90.2%) experienced stressful clerkship-related events, which were traumatic and/or COVID-19-related for 26 (28.3%) and 22 students (24.0%), respectively. Baseline psychological distress, childhood emotional abuse, and resilience predicted depression, anxiety, and/or PTSD by year-end. This study highlights the importance of recognizing psychological distress and implementing interventions to support students' well-being.

Design of and outcomes in a student-run free mental health clinic serving the uninsured in East Harlem.

BACKGROUND: Safety-net clinics are an important source of low-cost or free mental healthcare to those with limited financial resources. Such clinics are often staffed by trainees in early stages of their career. Only limited data exist on best practices in treatment-implementation and on clinical outcomes attained in such clinics. The primary purpose of this article is to describe the design of an outpatient psychiatry student-run free clinic (SRFC) serving uninsured individuals in New York City's East Harlem neighborhood and to analyze the quality of services provided and the clinical outcomes attained. METHODS: The authors conducted a retrospective chart review of n = 69 patients treated in the EHHOP Mental Health Clinic (E-MHC) to describe the demographic and clinical characteristics of the study population. Utilizing Health Effectiveness Data and Information Set metrics, they estimated the likelihoods of patients meeting metric quality criteria compared to those in other New York State (NYS) insurance groups. The authors derived linear mixed effect and logistic regression models to ascertain factors associated with clinical outcomes. Finally, the authors collected patient feedback on the clinical services received using a customized survey. RESULTS: Almost all patients were of Hispanic ethnicity, and about half of patients had more than one psychiatric disorder. The clinical service performance of the E-MHC was non-inferior on most measures examined. Factors associated with symptom improvement were the number of treatment sessions and certain demographic and clinical variables. Patients provided highly positive feedback on the mental healthcare services they received. CONCLUSIONS: SRFCs can provide quality care to vulnerable patients that leads to clinically meaningful reductions in psychiatric symptoms and is well-received by patients.

The Psychiatric Burden on Medical Students in New York City Entering Clinical Clerkships During the COVID-19 Pandemic.

For medical students first entering the clinical space in July 2020, the unique challenges related to the coronavirus pandemic threatened to amplify the psychological distress associated with clerkship rotations. This study aimed to characterize the mental health of third-year medical students starting clinical clerkships in the midst of a pandemic by assessing symptoms of major depressive disorder (MDD), generalized anxiety disorder (GAD), and posttraumatic stress disorder (PTSD) as well as risk, coping, and protective factors associated with psychological outcomes. Of 147 third-year medical students at the Icahn School of Medicine at Mount Sinai in New York City, 110 (75%) participated in this prospective survey-based study with 108 included in the final analysis. 43 (39.8%) respondents screened positive for symptoms of either MDD, GAD, or PTSD. Multiple regression analyses revealed that greater overall symptom severity was associated with more avoidant coping, more traumatic events witnessed, poorer student and leisure functioning, lower trait emotional stability, and lower social support. Worries related to COVID-19 did not significantly influence outcome variables. To better understand the role of the pandemic on psychological outcomes in third-year medical students, additional research should focus on the trajectory of these outcomes over the year during the coronavirus pandemic.

Predicting early recovery of consciousness after cardiac arrest supported by quantitative electroencephalography.

OBJECTIVE: To determine the ability of quantitative electroencephalography (QEEG) to improve the accuracy of predicting recovery of consciousness by post-cardiac arrest day 10. METHODS: Unconscious survivors of cardiac arrest undergoing daily clinical and EEG assessments through post-cardiac arrest day 10 were studied in a prospective observational cohort study. Power spectral density, local coherence, and permutation entropy were calculated from daily EEG clips following a painful stimulus. Recovery of consciousness was defined as following at least simple commands by day 10. We determined the impact of EEG metrics to predict recovery when analyzed with established predictors of recovery using partial least squares regression models. Explained variance analysis identified which features contributed most to the predictive model. RESULTS: 367 EEG epochs from 98 subjects were analyzed in conjunction with clinical measures. Highest prediction accuracy was achieved when adding QEEG features from post-arrest days 4-6 to established predictors (area under the receiver operating curve improved from 0.81 ± 0.04 to 0.86 ± 0.05). Prediction accuracy decreased from 0.84 ± 0.04 to 0.79 ± 0.04 when adding QEEG features from post-arrest days 1-3. Patients with recovery of command-following by day 10 showed higher coherence across the frequency spectrum and higher centro-occipital delta-frequency spectral power by days 4-6, and globally-higher theta range permutation entropy by days 7-10. CONCLUSIONS: Adding quantitative EEG metrics to established predictors of recovery allows modest improvement of prediction accuracy for recovery of consciousness, when obtained within a week of cardiac arrest. Further research is needed to determine the best strategy for integration of QEEG data into prognostic models in this patient population.

Psychological distress in the face of a pandemic: An observational study characterizing the impact of COVID-19 on immigrant outpatient mental health.

Undocumented immigrants have disproportionately suffered during the novel coronavirus disease 2019 (COVID-19) pandemic due to factors including limited medical access and financial insecurity, which can exacerbate pandemic-associated distress. Psychological outcomes for immigrant outpatients were assessed after transition to telepsychiatry in March 2020. Mental health was assessed with Patient Health Questionnaire (PHQ-2) and Generalized Anxiety Disorder (GAD-2) inventories, a novel coronavirus-specific survey, and the Kessler Psychological Distress Scale (K10+). Feedback on telepsychiatry sessions and access to non-clinical resources were also gathered, after which multivariable linear regression modeling identified psychosocial factors underlying changes in distress levels. 48.57% and 45.71% of participants reported worsened anxiety and depression levels due to the pandemic, respectively. From March to April, PHQ-2 and GAD-2 scores significantly increased by 0.81 and 0.63 points, respectively. The average total psychological distress score was 23.8, with 60% of scores reflecting serious mental illness. Factors that most influenced K10+ scores included a pre-existing depressive disorder, food insecurity, and comfort during telepsychiatry visits. 93.75% of participants believed access to remote psychiatry helped their mental health during COVID-19. The negative impact of COVID-19 on mental health in vulnerable populations stems from medical and psychosocial factors such as pre-existing psychiatric conditions and unmet essential needs.

Family Caregiving at the End of Life and Hospice Use: A National Study of Medicare Beneficiaries.

BACKGROUND/OBJECTIVES: Hospice care confers well-documented benefits to patients and their families, but it is underutilized. One potential reason is inadequate family support to make end-of-life decisions and care for older adults on hospice at home. We assessed the association between amount of family support and hospice use among a population of decedents and among specific illness types. DESIGN: Prospective cohort study using the National Health and Aging Trends Study waves 2011 to 2017, linked to Medicare claims data. SETTING: Contiguous United States. PARTICIPANTS: A total of 1,868 NHATS decedents. MEASUREMENTS: Outcome variable was 1 day or longer of hospice. Family caregiving intensity was measured by self-reported hours of care per week and number of caregivers. Covariates included probable dementia status and other demographic, clinical, and functional characteristics. RESULTS: At the end of life, hours of family caregiving and numbers of helpers vary widely with individuals with dementia receiving the most hours of unpaid care (mean = 64.5 hours per week) and having 2.4 unpaid caregivers on average. In an adjusted analysis, older adults with cancer receiving 40 hours and more of unpaid care/week as compared with fewer than 6 hours per week were twice as likely to receive hospice care at the end of life (odds ratio = 2.0; 95% confidence interval = 1.0-4.1). This association was not seen among those with dementia or among decedents in general. No significant association was found between number of caregivers and hospice use at the end of life. CONCLUSION: Older adults at the end of life receive a high number of hours of help at the end of life, many from more than one caregiver, which may shape hospice access. Better understanding of disparities in hospice use can facilitate timely access to care for older adults with a serious illness. J Am Geriatr Soc 68:2288-2296, 2020.