Factors Related to Self-Reported Distress Experienced by Physicians During Their First COVID-19 Triage Decisions.

OBJECTIVE: The aim of this study was to identify factors associated with distress experienced by physicians during their first coronavirus disease 2019 (COVID-19) triage decisions. METHODS: An online survey was administered to physicians licensed in New York State. RESULTS: Of the 164 physicians studied, 20.7% experienced severe distress during their first COVID-19 triage decisions. The mean distress score was not significantly different between physicians who received just-in-time training and those who did not (6.0 ± 2.7 vs 6.2 ± 2.8; P = 0.550) and between physicians who received clinical guidelines and those who did not (6.0 ± 2.9 vs 6.2 ± 2.7; P = 0.820). Substantially increased odds of severe distress were found in physicians who reported that their first COVID-19 triage decisions were inconsistent with their core values (adjusted odds ratio, 6.33; 95% confidence interval, 2.03-19.76) and who reported having insufficient skills and expertise (adjusted odds ratio 2.99, 95% confidence interval 0.91-9.87). CONCLUSION: Approximately 1 in 5 physicians in New York experienced severe distress during their first COVID-19 triage decisions. Physicians with insufficient skills and expertise, and core values misaligned to triage decisions are at heightened risk of experiencing severe distress. Just-in-time training and clinical guidelines do not appear to alleviate distress experienced by physicians during their first COVID-19 triage decisions.

The New York State COVID-19 Healthcare Personnel Study: One-Year Follow-up of Physicians, Nurse Practitioners, and Physician Assistants, 2020-2021.

OBJECTIVES: The COVID-19 Healthcare Personnel Study is a longitudinal survey to assess the changing impact of the COVID-19 pandemic on the New York State health care workforce. We analyzed results from a follow-up survey of physicians, nurse practitioners, and physician assistants on the availability of equipment and personnel, work conditions, physical and mental health of participants, and impact of the pandemic on commitment to their profession. METHODS: We conducted an online survey of all licensed New York State physicians, nurse practitioners, and physician assistants in April 2020 (N = 2105) and a follow-up survey in February 2021 (N = 978). We analyzed changes in item responses from baseline to follow-up. We calculated survey-adjusted paired t tests and odds ratios (ORs) using survey-adjusted generalized linear models controlling for age, sex, region of practice, and hospital versus non-hospital-based practice. RESULTS: Twenty percent of respondents expressed continuing concern about personnel shortages at both baseline and follow-up. Respondents reported working approximately 5 more hours on average during a 2-week period at follow-up compared with baseline (78.1 vs 72.6 hours; P = .008). For 20.4% (95% CI, 17.2%-23.5%) of respondents, mental health issues had become persistent. More than one-third (35.6%; 95% CI, 31.9%-39.4%) of respondents reported that they thought about leaving their profession more often than once per month. The association between persistent mental and behavioral health issues and contemplating leaving one's profession was significant (OR = 2.7; 95% CI, 1.8-4.1; P < .001). CONCLUSIONS: Interventions such as decreasing the number of hours worked, ensuring health care professionals do not work directly with patients while ill, and addressing shortages of personal protective equipment can help address concerns of the health care workforce.

Effects of COVID-19 on Surgical Delays in Patients with Breast Cancer in NYC Public Hospitals: A Multicenter Study.

BACKGROUND: Increased time to surgery (TTS) is associated with decreased survival in patients with breast cancer. In early 2020, elective surgeries were canceled to preserve resources for patients with coronavirus disease 2019 (COVID-19). This study attempts to measure the effect of mandated operating room shutdowns on TTS in patients with breast cancer. PATIENTS AND METHODS: This multicenter retrospective study compares 51 patients diagnosed with breast cancer at four public hospitals from January to June 2020 with 353 patients diagnosed from January 2017 to June 2018. Demographics, tumor characteristics, treatment regimens, and TTS for patients were statistically compared using parametric, nonparametric, and Cox proportional hazards regression modeling. RESULTS: Across all centers, there was a non-statistically significant increase in median TTS from 59 days in the pre-COVID period to 65 days during COVID (p = 0.9). There was, however, meaningful variation across centers. At center A, the median TTS decreased from 57 to 51 days, center C's TTS decreased from 83 to 64 days, and in center D, TTS increased from 42 to 129 days. In a multivariable Cox proportional hazards model for the pre-COVID versus COVID period effect on TTS, center was an important confounding variable, with notable differences for centers C and D compared with the referent category of center A (p = 0.04, p = 0.006). CONCLUSION: Data suggest that, while mandated operating room shutdowns did not result in an overall statistically significant delay in TTS, there were important differences between centers, indicating that, even in a unified multicenter public hospital system, COVID-19 may have resulted in delayed and potentially disparate care.

A Novel COVID-19 Severity Score is Associated With Survival in Patients Undergoing Percutaneous Dilational Tracheostomy.

INTRODUCTION: Tracheostomy in patients with COVID-19 is a controversial and difficult clinical decision. We hypothesized that a recently validated COVID-19 Severity Score (CSS) would be associated with survival in patients considered for tracheostomy. METHODS: We reviewed 77 mechanically ventilated COVID-19 patients evaluated for decision for percutaneous dilational tracheostomy (PDT) from March to June 2020 at a public tertiary care center. Decision for PDT was based on clinical judgment of the screening surgeons. The CSS was retrospectively calculated using mean biomarker values from admission to time of PDT consult. Our primary outcome was survival to discharge, and all patient charts were reviewed through August 31, 2021. ROC curve and Youden index were used to estimate an optimal cut-point for survival. RESULTS: The mean CSS for 42 survivors significantly differed from that of 35 nonsurvivors (CSS 52 versus 66, P = 0.003). The Youden index returned an optimal CSS of 55 (95% confidence interval 43-72), which was associated with a sensitivity of 0.8 and a specificity of 0.6. The median CSS was 40 (interquartile range 27, 49) in the lower CSS (<55) group and 72 (interquartile range 66, 93) in the high CSS (≥55 group). Eighty-seven percent of lower CSS patients underwent PDT, with 74% survival, whereas 61% of high CSS patients underwent PDT, with only 41% surviving. Patients with high CSS had 77% lower odds of survival (odds ratio = 0.2, 95% confidence interval 0.1-0.7). CONCLUSIONS: Higher CSS was associated with decreased survival in patients evaluated for PDT, with a score ≥55 predictive of mortality. The novel CSS may be a useful adjunct in determining which COVID-19 patients will benefit from tracheostomy. Further prospective validation of this tool is warranted.

Occupational Conditions Associated With Negative Mental Health Outcomes in New York State Health Professionals During the COVID-19 Pandemic.

OBJECTIVE: The aim of this study was to assess occupational circumstances associated with adverse mental health among health care workers during the COVID-19 pandemic. METHODS: A cross-sectional study examined responses to an on-line survey conducted among 2076 licensed health care workers during the first pandemic peak. Mental health (depression, anxiety, stress, and anger) was examined as a multivariate outcome for association with COVID-related occupational experiences. RESULTS: Odds of negative mental health were increased among those who worked directly with patients while sick themselves (adjusted odds ratio, 2.29; 95% confidence interval, 1.71-3.08) and were independently associated with working more hours than usual in the past 2 weeks, having family/friends who died due to COVID-19, having COVID-19 symptoms, and facing insufficiencies in personal protective equipment/other shortages. CONCLUSIONS: Occupational circumstances were associated with adverse mental health outcomes among health care workers during the COVID-19 pandemic, and some are potentially modifiable.

Association between city-wide lockdown and COVID-19 hospitalization rates in multigenerational households in New York City.

BACKGROUND: City-wide lockdowns and school closures have demonstrably impacted COVID-19 transmission. However, simulation studies have suggested an increased risk of COVID-19 related morbidity for older individuals inoculated by house-bound children. This study examines whether the March 2020 lockdown in New York City (NYC) was associated with higher COVID-19 hospitalization rates in neighborhoods with larger proportions of multigenerational households. METHODS: We obtained daily age-segmented COVID-19 hospitalization counts in each of 166 ZIP code tabulation areas (ZCTAs) in NYC. Using Bayesian Poisson regression models that account for spatiotemporal dependencies between ZCTAs, as well as socioeconomic risk factors, we conducted a difference-in-differences study amongst ZCTA-level hospitalization rates from February 23 to May 2, 2020. We compared ZCTAs in the lowest quartile of multigenerational housing to other quartiles before and after the lockdown. FINDINGS: Among individuals over 55 years, the lockdown was associated with higher COVID-19 hospitalization rates in ZCTAs with more multigenerational households. The greatest difference occurred three weeks after lockdown: Q2 vs. Q1: 54% increase (95% Bayesian credible intervals: 22-96%); Q3 vs. Q1: 48% (17-89%); Q4 vs. Q1: 66% (30-211%). After accounting for pandemic-related population shifts, a significant difference was observed only in Q4 ZCTAs: 37% (7-76%). INTERPRETATION: By increasing house-bound mixing across older and younger age groups, city-wide lockdown mandates imposed during the growth of COVID-19 cases may have inadvertently, but transiently, contributed to increased transmission in multigenerational households.

Association between neighborhood overcrowdedness, multigenerational households, and COVID-19 in New York City

IMPACT: Patients living in overcrowded zip codes were at increased risk of contracting severe COVID-19 after controlling for confounding disease and socioeconomic factors OBJECTIVES/GOALS: This study sought to examine whether residences in over-crowded zip codes with higher reported over-crowding represented an independent risk factor for severe COVID-19 infection, defined by presentation to an emergency department. METHODS/STUDY POPULATION: In this zip code tabulated area (ZCTA)-level analysis, we used NYC Department of Health disease surveillance data in March 2020 merged with data from the CDC and ACS to model suspected COVID-19 case rates by zip code over-crowdedness (households with greater than 1 occupant per room, in quartiles). We defined suspected COVID-19 cases as emergency department reported cases of pneumonia and influenza-like illness. Our final model employed a multivariate Poisson regression models with controls for known COVID-19 clinical (prevalence of obesity, coronary artery disease, and smoking) and related socioeconomic risk factors (percentage below federal poverty line, median income by zip-code, percentage White, and proportion of multigenerational households) after accounting for multicollinearity. RESULTS/ANTICIPATED RESULTS: Our analysis examined 39,923 suspected COVID-19 cases across 173 ZCTAs in NYC between March 1 and March 30 2020. We found that, after adjusted analysis, for every quartile increase in defined over-crowdedness, case rates increased by 32.8% (95% CI: 22.7%% to 34.0%, P < 0.001). DISCUSSION/SIGNIFICANCE OF FINDINGS: Over-crowdedness by zip code may be an independent risk factor for severe COVID-19. Social distancing measures such as school closures that increase house-bound populations may inadvertently worsen the risk of COVID-19 contraction in this setting.

Hopelessness in New York State Physicians During the First Wave of the COVID-19 Outbreak.

BACKGROUND: In the United States, New York State's health care system experienced unprecedented stress as an early epicenter of the coronavirus disease 2019 (COVID-19) pandemic. This study aims to assess the level of hopelessness in New York State physicians working on the frontlines during the first wave of the COVID-19 outbreak. METHODS: A confidential online survey sent to New York State health care workers by the state health commissioner's office was used to gather demographic and hopelessness data as captured by a brief Hopelessness Scale. Adjusted linear regression models were used to assess the associations of physician age, sex, and number of triage decisions made, with level of hopelessness. RESULTS: In total, 1330 physicians were included, of whom 684 were male (51.4%). Their average age was 52.4 years (SD=12.7), with the majority of respondents aged 50 years and older (55.2%). Almost half of the physician respondents (46.3%) worked directly with COVID-19 patients, and 163 (12.3%) were involved in COVID-19-related triage decisions. On adjusted analysis, physicians aged 40 to 49 years had significantly higher levels of hopelessness compared with those aged 50 years or more (µ=0.441, SD=0.152, P=0.004). Those involved in 1 to 5 COVID-19-related triage decisions had a significantly lower mean hopelessness score (µ=-0.572, SD=0.208, P=0.006) compared with physicians involved in none of these decisions. CONCLUSION: Self-reported hopelessness was significantly higher among physicians aged 40 to 49 years and those who had not yet been involved in a life or death triage decision. Further work is needed to identify strategies to support physicians at high risk for adverse mental health outcomes during public health emergencies such as the COVID-19 pandemic.

The COVID-19 Healthcare Personnel Study (CHPS): Overview, Methods, and Preliminary Findings.

INTRODUCTION: The COVID-19 Healthcare Personnel Study (CHPS) was designed to assess adverse short-term and long-term physical and mental health impacts of the coronavirus disease-2019 (COVID-19) pandemic on New York's physicians, nurse practitioners, and physician assistants. METHODS: Online population-based survey. Survey-weighted descriptive results, frequencies, proportions, and means, with 95% confidence intervals (95% CI). Odds ratios (ORs) for association. RESULTS: Over half (51.5%; 95% CI: 49.1, 54.0) of respondents worked directly with COVID-19 patients; 27.3% (95% CI: 22.5, 32.2) tested positive. The majority (57.6%; 95% CI: 55.2, 60.0) reported a negative impact on their mental health. Negative mental health was associated with COVID-19 symptoms (OR=1.7, 95% CI: 1.3, 2.1) and redeployment to unfamiliar functions (OR=1.3, 95% CI: 1.1, 1.6). CONCLUSIONS: A majority of New York health care providers treated COVID-19 patients and reported a negative impact on their mental health.

Percutaneous Dilational Tracheostomy at the Epicenter of the SARS-CoV-2 Pandemic: Impact on Critical Care Resource Utilization and Early Outcomes.

BACKGROUND: The COVID-19 pandemic overwhelmed New York City hospitals early in the pandemic. Shortages of ventilators and sedatives prompted tracheostomy earlier than recommended by professional societies. This study evaluates the impact of percutaneous dilational tracheostomy (PDT) in COVID+ patients on critical care capacity. METHODS: This is a single-institution prospective case series of mechanically ventilated COVID-19 patients undergoing PDT from April 1 to June 4, 2020 at a public tertiary care center. RESULTS: Fifty-five patients met PDT criteria and underwent PDT at a median of 13 days (IQR 10, 18) from intubation. Patient characteristics are found in Table 1. Intravenous midazolam, fentanyl, and cisatracurium equivalents were significantly reduced 48 hours post-PDT (Table 2). Thirty-five patients were transferred from the ICU and liberated from the ventilator. Median time from PDT to ventilator liberation and ICU discharge was 10 (IQR 4, 14) and 12 (IQR 8, 17) days, respectively. Decannulation occurred in 45.5% and 52.7% were discharged from acute inpatient care (Figure 1). Median follow-up for the study was 62 days. Four patients had bleeding complications postoperatively and 11 died during the study period. Older age was associated with increased odds of complication (OR 1.12, 95% CI 1.04, 1.23) and death (OR=1.15, 95% CI 1.05, 1.30). All operators tested negative for COVID-19 during the study period. CONCLUSION: These findings suggest COVID-19 patients undergoing tracheostomy within the standard time frame can improve critical care capacity in areas strained by the pandemic with low risk to operators. Long-term outcomes after PDT deserve further study.

Black/African American Communities are at highest risk of COVID-19: spatial modeling of New York City ZIP Code-level testing results.

PURPOSE: The population and spatial characteristics of COVID-19 infections are poorly understood, but there is increasing evidence that in addition to individual clinical factors, demographic, socioeconomic, and racial characteristics play an important role. METHODS: We analyzed positive COVID-19 testing results counts within New York City ZIP Code Tabulation Areas with Bayesian hierarchical Poisson spatial models using integrated nested Laplace approximations. RESULTS: Spatial clustering accounted for approximately 32% of the variation in the data. There was a nearly five-fold increase in the risk of a positive COVID-19 test (incidence density ratio = 4.8, 95% credible interval 2.4, 9.7) associated with the proportion of black/African American residents. Increases in the proportion of residents older than 65 years, housing density, and the proportion of residents with heart disease were each associated with an approximate doubling of risk. In a multivariable model including estimates for age, chronic obstructive pulmonary disease, heart disease, housing density, and black/African American race, the only variables that remained associated with positive COVID-19 testing with a probability greater than chance were the proportion of black/African American residents and proportion of older persons. CONCLUSIONS: Areas with large proportions of black/African American residents are at markedly higher risk that is not fully explained by characteristics of the environment and pre-existing conditions in the population.