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J Grad Med Educ ; 12(6): 682-685, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1005985

ABSTRACT

BACKGROUND: Montefiore Medical Center (MMC) is a large tertiary care center in the Bronx, New York City, with 245 internal medicine residents. Beginning on February 29, 2020, residents became ill with COVID-19-like illness (CLI), which required absence from work. There was initially a shortage of personal protective equipment and delays in SARS-CoV-2 testing, which gradually improved during March and April 2020. OBJECTIVE: We evaluated the relationship between CLI-related work absence rates of internal medicine residents and MMC's COVID-19 hospital census over time. METHODS: Data on resident work absence between February 29 and May 22 were reviewed along with MMC's COVID-19 hospital census data. To determine the effect of patient exposure on resident CLI incidence, we compared the mean incidence of CLI per patient exposure days (PED = daily hospital census × days pre- or post-peak) before and after peak COVID-19 hospital census. RESULTS: Forty-two percent (103 of 245) of internal medicine residents were absent from work, resulting in 875 missed workdays. At the peak of resident work absence, 16% (38 of 245) were out sick. Residents were absent for a median of 7 days (IQR 6-9.5 days). Mean resident CLI incidence per PED (CLI/PED) was 13.9-fold lower post-peak compared to pre-peak (P = .003). CONCLUSIONS: At the beginning of the COVID-19 pandemic in New York City, a large portion of internal medicine residents at this single center became ill. However, the incidence of CLI decreased over time, despite ongoing exposure to patients with COVID-19.


Subject(s)
COVID-19/epidemiology , Internship and Residency/statistics & numerical data , Sick Leave/statistics & numerical data , Academic Medical Centers , COVID-19/transmission , COVID-19 Testing , Humans , Infectious Disease Transmission, Patient-to-Professional , Internal Medicine , Internship and Residency/methods , New York City/epidemiology , Occupational Exposure , Personnel Staffing and Scheduling , Retrospective Studies , SARS-CoV-2
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