Healthcare Worker Mental Health and Wellbeing During COVID-19: Mid-Pandemic Survey Results.

Introduction/Background: HealthCare worker (HCW) mental health and wellbeing are uniquely affected by the complexities of COVID-19 due to exposure to the virus, isolation from family and friends, risk and uncertainty. Little if any inquiry has examined the effects on an entire healthcare system, particularly immediately post-surge. We sought to examine the prevalence of psychiatric symptoms and behavioral health difficulties as a healthcare system transitioned out of the first wave. We assessed the effects of work role, setting and individual diversity factors on employee distress and coping strategies. Materials and Methods: This was an Institutional Review Board approved, unfunded, voluntary survey sent via REDCap link, to all employees of Hartford HealthCare, a mid-sized healthcare system (N ≈ 29,900) between May 15th and June 26th, 2020. Two system-wide emails and two emails targeting managers were sent during this time frame. Eight thousand four hundred and ninety four employees (28.4% of all e-mails distributed) participated in the survey, representing clinical, support, administrative, and medical staff across hospital, outpatient, residential, and business settings. The survey contained items assessing personal background, work environment/culture, and formal measures, including: patient health questionnaire-9 (PHQ-9), general anxiety disorder-7 (GAD-7), primary care post-traumatic stress disorder screen for DSM-5 (PC-PTSD), alcohol use disorders identification test (AUDIT-C), and the insomnia severity index (ISI). Results: Almost 1/3 of respondents (31%) reported symptoms of clinically significant anxiety; 83% moderate to severe depression; and 51% moderate to severe insomnia. Thirteen percent screened positive for post-traumatic stress disorder. Frontline staff (p ≤ 0.001 vs. others) and females (p < 0.001 vs. males) endorsed the highest levels of distress, while race (p ≤ 0.005) and ethnicity (p < 0.03 for anxiety, PTSD and insomnia) had a complex and nuanced interaction with symptoms. Conclusion: Pandemic stress effects all healthcare employees, though not equally. The effects of work role and environment are intuitive though critical. These data suggest individual diversity factors also play an important role in mental health and wellbeing. All must be considered to optimize employee functioning.

COVID-19 mortality risk assessment: An international multi-center study.

Timely identification of COVID-19 patients at high risk of mortality can significantly improve patient management and resource allocation within hospitals. This study seeks to develop and validate a data-driven personalized mortality risk calculator for hospitalized COVID-19 patients. De-identified data was obtained for 3,927 COVID-19 positive patients from six independent centers, comprising 33 different hospitals. Demographic, clinical, and laboratory variables were collected at hospital admission. The COVID-19 Mortality Risk (CMR) tool was developed using the XGBoost algorithm to predict mortality. Its discrimination performance was subsequently evaluated on three validation cohorts. The derivation cohort of 3,062 patients has an observed mortality rate of 26.84%. Increased age, decreased oxygen saturation (≤ 93%), elevated levels of C-reactive protein (≥ 130 mg/L), blood urea nitrogen (≥ 18 mg/dL), and blood creatinine (≥ 1.2 mg/dL) were identified as primary risk factors, validating clinical findings. The model obtains out-of-sample AUCs of 0.90 (95% CI, 0.87-0.94) on the derivation cohort. In the validation cohorts, the model obtains AUCs of 0.92 (95% CI, 0.88-0.95) on Seville patients, 0.87 (95% CI, 0.84-0.91) on Hellenic COVID-19 Study Group patients, and 0.81 (95% CI, 0.76-0.85) on Hartford Hospital patients. The CMR tool is available as an online application at covidanalytics.io/mortality_calculator and is currently in clinical use. The CMR model leverages machine learning to generate accurate mortality predictions using commonly available clinical features. This is the first risk score trained and validated on a cohort of COVID-19 patients from Europe and the United States.

Health Care Workers' Mental Health and Quality of Life During COVID-19: Results From a Mid-Pandemic, National Survey.

OBJECTIVE: The authors sought to quantify the rates of psychological distress among health care workers (HCWs) during the COVID-19 pandemic and to identify job-related and personal risk and protective factors. METHODS: From April 1 to April 28, 2020, the authors conducted a national survey advertised via e-mail lists, social media, and direct e-mail. Participants were self-selecting, U.S.-based volunteers. Scores on the Patient Health Questionnaire-9, General Anxiety Disorder-7, Primary Care Posttraumatic Stress Disorder Screen, and Alcohol Use Disorders Identification Test-C were used. The relationships between personal resilience and risk factors, work culture and stressors and supports, and COVID-19-related events were examined. RESULTS: Of 1,685 participants (76% female, 88% White), 31% (404 of 1,311) endorsed mild anxiety, and 33% (427 of 1,311) clinically meaningful anxiety; 29% (393 of 1,341) reported mild depressive symptoms, and 17% (233 of 1,341) moderate to severe depressive symptoms; 5% (64 of 1,326) endorsed suicidal ideation; and 14% (184 of 1,300) screened positive for posttraumatic stress disorder. Pediatric HCWs reported greater anxiety than did others. HCWs' mental health history increased risk for anxiety (odds ratio [OR]=2.78, 95% confidence interval [CI]=2.09-3.70) and depression (OR=3.49, 95% CI=2.47-4.94), as did barriers to working, which were associated with moderate to severe anxiety (OR=2.50, 95% CI=1.80-3.48) and moderate depressive symptoms (OR=2.15, 95% CI=1.45-3.21) (p<0.001 for all comparisons). CONCLUSIONS: Nearly half of the HCWs reported serious psychiatric symptoms, including suicidal ideation, during the COVID-19 pandemic. Perceived workplace culture and supports contributed to symptom severity, as did personal factors.