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1.
PLoS One ; 15(12): e0243027, 2020.
Article in English | MEDLINE | ID: covidwho-2270795

ABSTRACT

BACKGROUND: New York City (NYC) bore the greatest burden of COVID-19 in the United States early in the pandemic. In this case series, we describe characteristics and outcomes of racially and ethnically diverse patients tested for and hospitalized with COVID-19 in New York City's public hospital system. METHODS: We reviewed the electronic health records of all patients who received a SARS-CoV-2 test between March 5 and April 9, 2020, with follow up through April 16, 2020. The primary outcomes were a positive test, hospitalization, and death. Demographics and comorbidities were also assessed. RESULTS: 22254 patients were tested for SARS-CoV-2. 13442 (61%) were positive; among those, the median age was 52.7 years (interquartile range [IQR] 39.5-64.5), 7481 (56%) were male, 3518 (26%) were Black, and 4593 (34%) were Hispanic. Nearly half (4669, 46%) had at least one chronic disease (27% diabetes, 30% hypertension, and 21% cardiovascular disease). Of those testing positive, 6248 (46%) were hospitalized. The median age was 61.6 years (IQR 49.7-72.9); 3851 (62%) were male, 1950 (31%) were Black, and 2102 (34%) were Hispanic. More than half (3269, 53%) had at least one chronic disease (33% diabetes, 37% hypertension, 24% cardiovascular disease, 11% chronic kidney disease). 1724 (28%) hospitalized patients died. The median age was 71.0 years (IQR 60.0, 80.9); 1087 (63%) were male, 506 (29%) were Black, and 528 (31%) were Hispanic. Chronic diseases were common (35% diabetes, 37% hypertension, 28% cardiovascular disease, 15% chronic kidney disease). Male sex, older age, diabetes, cardiac history, and chronic kidney disease were significantly associated with testing positive, hospitalization, and death. Racial/ethnic disparities were observed across all outcomes. CONCLUSIONS AND RELEVANCE: This is the largest and most racially/ethnically diverse case series of patients tested and hospitalized for COVID-19 in New York City to date. Our findings highlight disparities in outcomes that can inform prevention and testing recommendations.


Subject(s)
COVID-19 , Ethnicity , Hospitals, Public , Pandemics , SARS-CoV-2 , Adolescent , Adult , Age Factors , Aged , COVID-19/ethnology , COVID-19/mortality , COVID-19/therapy , Child , Child, Preschool , Female , Follow-Up Studies , Humans , Infant , Infant, Newborn , Male , Middle Aged , New York City/epidemiology , New York City/ethnology , Retrospective Studies , Risk Factors , Sex Factors
2.
AEM Educ Train ; 5(2): e10503, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-640318

ABSTRACT

OBJECTIVES: The objective was to bridge the relative educational gap for newly matched emergency medicine preinterns between Match Day and the start of internship by implementing an Accreditation Council for Graduate Medical Education Milestone (ACGME)-based virtual case curriculum over the social media platform Slack. METHODS: We designed a Milestone-based curriculum of 10 emergency department clinical cases and used Slack to implement it. An instructor was appointed for each participating institution to lead the discussion and encourage collaboration among preinterns. Pre- and postcurriculum surveys utilized 20 statements adapted from the eight applicable Milestones to measure the evolution of preintern self-reported perceived preparedness (PP) as well as actual clinical knowledge (CK) performance on a case-based examination. RESULTS: A total of 11 institutions collaborated and 151 preinterns were contacted, 127 of whom participated. After participating in the Slack intern curriculum (SIC), preinterns reported significant improvements in PP regarding multiple Milestone topics. They also showed improved CK regarding the airway management Milestone based on examination performance. CONCLUSIONS: Implementation of our SIC may ease the difficult transition between medical school and internship for emergency medicine preinterns. Residency leadership and medical school faculty will benefit from knowledge of preintern PP, specifically of their perceived strengths and weaknesses, because this information can guide curricular focus at the end of medical school and beginning of internship. Limitations of this study include variable participation and a high attrition rate. Further studies will address the utility of such a virtual curriculum for preinterns and for rotating medical students who have been displaced from clinical rotations during the novel coronavirus pandemic.

3.
Health Aff (Millwood) ; 39(8): 1443-1449, 2020 08.
Article in English | MEDLINE | ID: covidwho-596663

ABSTRACT

New York City has emerged as the global epicenter for the coronavirus disease 2019 (COVID-19) pandemic. The city's public health system, New York City Health + Hospitals, has been key to the city's response because its vulnerable patient population is disproportionately affected by the disease. As the number of cases rose in the city, NYC Health + Hospitals carried out plans to greatly expand critical care capacity. Primary intensive care unit (ICU) spaces were identified and upgraded as needed, and new ICU spaces were created in emergency departments, procedural areas, and other inpatient units. Patients were transferred between hospitals to reduce strain. Critical care staffing was supplemented by temporary recruits, volunteers, and Department of Defense medical personnel. Supplies needed to deliver critical care were monitored closely and replenished to prevent interruptions. An emergency department action team was formed to ensure that the experience of front-line providers was informing network-level decisions. The steps taken by NYC Health + Hospitals greatly expanded its capacity to provide critical care during an unprecedented surge of COVID-19 cases in NYC. These steps, along with lessons learned, could inform preparations for other health systems during a primary or secondary surge of cases.


Subject(s)
Coronavirus Infections/prevention & control , Critical Care/organization & administration , Emergency Service, Hospital/organization & administration , Intensive Care Units/organization & administration , Outcome Assessment, Health Care , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Workforce/statistics & numerical data , COVID-19 , Communicable Disease Control/organization & administration , Coronavirus Infections/epidemiology , Female , Health Personnel/organization & administration , Humans , Male , New York City/epidemiology , Pandemics/statistics & numerical data , Pneumonia, Viral/epidemiology , Risk Assessment
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