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. 2020 Nov 4;45:657–659. doi: 10.1016/j.ajem.2020.10.074

National analysis of COVID-19 and older emergency physicians

David X Zheng a,b, Tarun K Jella a, Elie J Mitri b, Carlos A Camargo Jr b,
PMCID: PMC7641536  PMID: 33187774

Emergency physicians (EPs) have played a critical role in the response to coronavirus disease 2019 (COVID-19). While public health efforts (e.g., statewide stay-at-home orders) had initially flattened the curve [1], COVID-19 spread in the U.S. has once again begun to accelerate. On October 23, 2020, the U.S. reached a new pandemic record of 83,010 daily cases [1], and all signs point toward an impending “second wave” or “third surge.” Given the association between advanced age and COVID-19 severity [2], our objective was to compare the geographic distribution of U.S. EPs age ≥ 60 years to the cumulative distribution of confirmed COVID-19 cases, to highlight the potential risks faced by this vulnerable population of clinicians.

Demographic information on practicing EPs age ≥ 60 during 2018 was extracted from State Physician Workforce Reports published by the American Association of Medical Colleges (AAMC) [3]. Information recorded included the number of EPs age ≥ 60 per state, proportion of EPs age ≥ 60 per state, total number of EPs per state, and state population per EP. Coordinate data (i.e., latitude and longitude) on the cumulative distribution of COVID-19 cases as of October 22, 2020 were obtained from a disease-specific data repository published by the Environmental Systems Research Institute [4]. We integrated both datasets into QGIS geospatial analysis software (version 3.12.1), superimposing them onto state boundary files published by the U.S. Census Bureau [5]. States were grouped into color-coordinated quintiles based on proportion of EPs age ≥ 60, and a logarithmic scale was used to adjust coordinate data points of cumulative COVID-19 cases, resulting in a heatmap depicting the proportion of EPs age ≥ 60 and COVID-19 disease burden for each state. This study was deemed IRB exempt due to the use of deidentified and publicly available data.

The AAMC identified a total of 43,311 clinically active EPs in 2018, of whom 10,804 (24.9%) were age ≥ 60 years [3]. The 10 states in the highest quintile of older EPs were West Virginia, New Mexico, Vermont, Hawaii, Maine, Oklahoma, Montana, Alabama, Arkansas, and Arizona (Table 1 ). The proportion of EPs age ≥ 60 ranged from 16.0% in Rhode Island to 40.6% in West Virginia. The five states with the highest number of cumulative COVID-19 cases as of October 22, 2020 were California (889,375 cases), Texas (871,078 cases), Florida (768,091 cases), New York (490,134 cases), and Illinois (363,740 cases). Among the states with the highest proportion of older EPs, Arizona (234,906 cases), Alabama (177,064 cases), Oklahoma (112,483 cases), and Arkansas (102,798 cases) have had a particularly high COVID-19 disease burden (Fig. 1 ).

Table 1.

Emergency physician workforce profile and confirmed COVID-19 cases by state, as of October 22, 2020

State EPs age ≥ 60 years; n (%) Total EPs per state State population per EP Confirmed COVID-19 cases by state
West Virginia 95 (40.6) 236 7652 21,061
New Mexico 108 (33.9) 319 6569 39,377
Vermont 41 (33.3) 123 5092 1987
Hawaii 91 (33.1) 275 5165 14,335
Maine 95 (32.9) 290 4615 6063
Oklahoma 110 (32.5) 342 11,529 112,483
Montana 54 (32.0) 169 6286 25,640
Alabama 128 (31.9) 401 12,189 177,064
Arkansas 80 (31.3) 256 11,773 102,798
Arizona 274 (29.9) 917 7821 234,906
Mississippi 90 (29.5) 305 9792 112,123
Tennessee 203 (29.4) 690 9812 237,907
Idaho 67 (29.1) 231 7594 55,650
New Hampshire 68 (29.1) 234 5797 9994
Florida 764 (29.0) 2641 8065 768,091
Kentucky 149 (28.7) 520 8593 92,299
Wyoming 23 (28.0) 84 6878 10,119
Washington 296 (27.4) 1082 6965 100,525
Indiana 208 (27.3) 763 8770 155,246
Pennsylvania 498 (27.3) 1832 6991 193,401
Missouri 196 (27.1) 725 8450 163,275
South Carolina 194 (26.9) 720 7061 167,485
California 1418 (26.1) 5445 7265 889,375
Ohio 434 (25.8) 1681 6954 190,430
Iowa 62 (25.1) 251 12,574 111,578
Colorado 268 (25.0) 1074 5303 90,199
Georgia 285 (25.0) 1139 9236 345,535
Kansas 63 (24.7) 256 11,373 73,968
Wisconsin 196 (24.6) 798 7285 186,100
Oregon 190 (24.5) 778 5387 40,443
Michigan 393 (24.4) 1621 6167 170,076
Virginia 283 (24.4) 1158 7356 169,566
Massachusetts 303 (24.3) 1247 5535 147,215
Connecticut 123 (23.9) 515 6937 65,373
New Jersey 241 (23.9) 1010 8820 224,385
Illinois 425 (23.8) 1787 7130 363,740
Louisiana 150 (23.5) 637 7316 178,171
Nevada 88 (23.0) 384 7902 92,853
South Dakota 19 (22.9) 83 10,629 36,017
Alaska 30 (22.1) 136 5422 11,835
North Dakota 19 (21.8) 87 8737 35,052
Maryland 198 (21.7) 915 6604 137,979
North Carolina 284 (20.7) 1375 7552 252,992
Minnesota 157 (20.4) 770 7287 128,152
New York 542 (19.6) 2777 7037 490,134
Delaware 24 (19.4) 124 7800 23,528
Utah 83 (19.4) 427 7403 99,549
Texas 635 (19.1) 3334 8609 871,078
Nebraska 29 (18.1) 160 12,058 60,308
Rhode Island 30 (16.0) 187 5654 29,594
U.S. (total) 10,804 (24.9) 43,311 N/A 8,392,628

Abbreviations: COVID-19, coronavirus disease 2019; EP, emergency physician.

Fig. 1.

Fig. 1

Geographic distribution of emergency physicians age ≥ 60 years and cumulative COVID-19 case distribution, as of October 22, 2020.

States were grouped into color-coordinated quintiles based on relative proportion of older EPs, and cumulative COVID-19 case volumes were adjusted with a logarithmic scale to create proportionally-sized data points.

Fig. 1 provides a geospatial representation of the risk faced by older EPs during the COVID-19 pandemic. Given the 2.5-fold difference in the proportion of older EPs across states (16.0% to 40.6%), and in light of reported personal protective equipment (PPE) shortages among major U.S. distributors [6], supply chain prioritization toward EPs in higher-risk states warrants consideration, especially as cases continue to surge. Emergency departments could also amend operations to prioritize reduction of nosocomial transmission risk among advanced age EPs (e.g., allocating critically limited PPE to higher-risk physicians, geographically cohorting patients with suspected or confirmed COVID-19 infection within an emergency department) [7]. Furthermore, prioritization of routine COVID-19 testing of older EPs, as well as creation of reserve pools of emergency medicine physicians (e.g., EPs from hospital systems relatively less affected by COVID-19), may facilitate the transfer of care duties from older EPs at more heavily affected emergency departments, in the event that they test positive and need to safely self-isolate [8].

Study limitations include not controlling for other individual factors associated with increased COVID-19 severity (e.g., obesity, Black race, Hispanic ethnicity) [9,10], as well as using state-level data, which precludes insights into risk differences by, for example, rural/urban status. Moreover, we acknowledge that utilizing cumulative case volumes does not account for differences in the present rate of COVID-19 spread between states (e.g., rate of COVID-19 spread and confirmed case count in New York have since stabilized from March/April 2020) [1]. Finally, we understand that COVID-19 infection among younger clinicians is a serious problem. Our hope is that the current findings will raise awareness among EPs and assist implementation of safety guidelines and workforce planning. Collectively, we need to ensure that all front-line EPs, including those at higher risk, are properly protected during the COVID-19 pandemic.

Financial disclosure

The authors report no funding sources relevant to this work.

Author contributions statement

DXZ and TKJ conceived the study and supervised data collection. EJM assisted in data collection. CAC provided advice on study design. DXZ drafted the manuscript, and all authors contributed substantially to its revision. DXZ and CAC take responsibility for the paper as a whole.

Declaration of competing interest

The authors report no conflicts of interest relevant to this work.

References


Articles from The American Journal of Emergency Medicine are provided here courtesy of Elsevier

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