Change in Emergency Medical Services-Attended Out-of-Hospital Deliveries during COVID-19 in the United States.

BACKGROUND: The COVID-19 pandemic disrupted access to routine in-person prenatal care, potentially leading to higher risk of out-of-hospital deliveries. Unplanned out-of-hospital deliveries pose a substantial risk of morbidity and mortality for pregnant patients and newborns. Our objective was to determine the change in rate of emergency medical services (EMS)-attended out-of-hospital deliveries during the COVID-19 pandemic. We hypothesized that COVID-19-related stay-at-home orders were associated with a higher rate of out-of-hospital deliveries during the initial wave of COVID-19. METHODS: We conducted an interrupted time series analysis using the 2019 and 2020 National EMS Information System datasets. We included 9-1-1 scene activations for patients 12-50 years old with out-of-hospital deliveries who were treated and transported by EMS. We calculated the weekly rate of deliveries per 100,000 EMS emergency activations each year overall, and for each census division. The interruption modeled was the enactment of stay-at-home orders, with March 25-31 selected as when most orders had been enacted. We fit ordinary least squares regression models with Newey-West standard errors to adjust for autocorrelation, testing for a change in level and slope overall and by census division. RESULTS: A total of 10,778 out-of-hospital deliveries were included, 58% (n = 6,254) in 2020. The mean weekly rate of out-of-hospital deliveries in 2019 was 29.4 per 100,000 activations (95% CI: 28.4 to 30.4) versus 33.0 (95% CI: 31.8 to 34.1) in 2020. There was an immediate increase of 6.3 deliveries per 100,000 activations (95% CI: 3.3 to 9.3) after the week of March 25-31, with a subsequent decrease of 0.3 deliveries per 100,000 per week after (95% CI: -0.4 to -0.2). There were also statistically significant immediate increases in out-of-hospital deliveries after March 25-31 in the New England, East North Central, West South Central, and Mountain divisions. CONCLUSION: EMS-attended out-of-hospital deliveries remained rare during the COVID-19 pandemic, but there was an immediate increase during the initial wave of the pandemic with evidence of geographic variation. Large-scale disruptions in the health care system may result in increases in uncommon patient presentations to EMS.

Influence of ICU Surge and Capacity on COVID Mortality Across U.S. States and Regions During the COVID-19 Pandemic.

BACKGROUND: To describe the influence of COVID-19 caseload surges and overall capacity in the intensive care unit (ICU) on mortality among US population and census divisions. METHODS: A retrospective analysis of the national COVID ActNow database between January 1, 2021 until March 1, 2022. The main outcome used was COVID-19 weekly mortality rates, which were calculated and incorporated into several generalized estimation of effects models with predictor variables that included ICU bed capacity, as well as ICU capacity used by COVID cases while adjusting for ratios of vaccinations in populations, case density, and percentage of the population over the age of 65. RESULTS: Each 1% increase in general ICU capacity is correlated with approximately 5 more weekly deaths from COVID-19 per 100,000 population and each percentage increase in the number of patients with COVID-19 admitted to the ICU resulted in approximately 10 more COVID-19 deaths per week per 100,000 population. Significant differences in ability to handle caseload surges were observed across US census divisions. CONCLUSIONS: A strong association was observed between COVID-19 ICU surges, overall ICU surge, and increased mortality. Further research is needed to reveal best practices and public health measures to prevent ICU overcrowding amidst future pandemics and disaster responses.

Impact of COVID-19 on initial emergency medical services certification in the United States.

Objective: As the COVID-19 pandemic began, there were significant concerns for the strength and stability of the emergency medical services (EMS) workforce. These concerns were heightened with the closure of examination centers and the cessation of certification examinations. The impact of this interruption on the EMS workforce is unclear. Our objective was to evaluate the impact of COVID-19 on initial EMS certification in the United States. In addition, we evaluated mitigation measures taken to address these interruptions. Methods: This study was a cross-sectional evaluation of the National Certification Cognitive Examination administration and results for emergency medical technician (EMT) and paramedic candidates. We compared the number of examinations administered and first-attempt pass rates in 2020 (pandemic) to 2019 (control). Descriptive statistics and 2 one-sided tests of equivalence were used to assess if there was a relevant difference of ±5 percentage points. Results: Total number of examinations administered decreased by 15% (EMT, 14%; paramedic, 7%). Without the addition of EMT remote proctoring, the EMT reduction would have been 35%. First-time pass rates were similar in both EMT (-0.9%) and paramedic (-1.9%) candidates, which did not meet our threshold of a relevant difference. Conclusion: COVID-19 has had a measurable impact on examination administration for both levels of certification. First-time pass rates remained unaffected. EMT remote proctoring mitigated some of the impact of COVID-19 on examination administration, although a comparison with mitigation was not assessed. These reductions indicate a potential decrease in the newly certified workforce, but future evaluations will be necessary to assess the presence and magnitude of this impact.

Trends in demographic and employment characteristics of US emergency medical technicians and paramedics, 2011-2019.

Background: Describing the US emergency medical services workforce is important to understand gaps in recruitment and retention and inform efforts to improve diversity. Our objective was to describe the characteristics and temporal trends of emergency medical technicians (EMTs) and paramedics in the United States. Methods: We performed a repeated cross-sectional evaluation of US Census Bureau's American Community Survey 1-year Public Use Microdata Sample data sets from 2011-2019. We included respondents working as an EMT or paramedic. Survey-weighted descriptive statistics of demographic and employment characteristics were calculated. Trend analysis was conducted using joinpoint regression to estimate slope and annual percent change (APC). Results: The total estimated number of EMTs and paramedics in the United States increased from 216,310 (95%CI 204,957-227,663) in 2011 to 289,830 (95%CI 276,918-302,743) in 2019 (APC 3.0%; 95%CI 1.4%, 4.7%). There was a slight increase in the proportion of females (2011, 31%; 2019, 35%). There was a significant decrease in proportion of non-Hispanic whites (2011, 80%; 2019, 72%; APC -1.5%; 95%CI -2.0%, -0.9%) with concurrent increases in other racial/ethnic groups (e.g., Hispanics, 2011, 10%; 2019, 13%). About half worked >40 hours per week, with little change over time. Between 15% and 18% lived and worked in different states, and about 40% traveled ≥30 minutes to their workplace. Conclusions: The number of EMTs and paramedics actively working in EMS as their primary paid occupation has increased over time. However, there have been only modest changes in their demographic diversity.

Emergency medical services education research priorities during COVID-19: A modified Delphi study.

OBJECTIVE: Our objective was to identify research priorities to understand the impact of COVID-19 on initial emergency medical services (EMS) education. METHODS: We used a modified Delphi method with an expert panel (n = 15) of EMS stakeholders to develop consensus on the research priorities that are most important and feasible to understand the impact of the COVID-19 pandemic on initial EMS education. Data were collected from August 2020 to February 2021 over 5 rounds (3 electronic surveys and 2 live virtual meetings). In Round 1, participants submitted research priorities over 9 specific areas. Responses were thematically analyzed to develop a list of research priorities reviewed in Round 2. In Round 3, participants rated the priorities by importance and feasibility, with a weighted score (2/3*importance+1/3*feasibility) used for preliminary prioritization. In Round 4, participants ranked the priorities. In Round 5, participants provided their agreement or disagreement with the group's consensus of the top 8 research priorities. RESULTS: During Rounds 1 and 2, 135 ideas were submitted by the panel, leading to a preliminary list of 27 research priorities after thematic analysis. The top 4 research priorities identified by the expert panel were prehospital internship access, impact of lack of field and clinical experience, student health and safety, and EMS education program availability and accessibility. Consensus was reached with 10/11 (91%) participants in Round 5 agreeing. CONCLUSIONS: The identified research priorities are an important first step to begin evaluating the EMS educational infrastructure, processes, and outcomes that were affected or threatened through the pandemic.

Applying crisis standards of care to critically ill patients during the COVID-19 pandemic: Does race/ethnicity affect triage scoring?

OBJECTIVE: Given the variability in crisis standards of care (CSC) guidelines during the COVID-19 pandemic, we investigated the racial and ethnic differences in prioritization between 3 different CSC triage policies (New York, Massachusetts, USA), as well as a first come, first served (FCFS) approach, using a single patient population. METHODS: We performed a retrospective cohort study of patients with intensive care unit (ICU) needs at a tertiary hospital on its peak COVID-19 ICU census day. We used medical record data to calculate a CSC score under 3 criteria: New York, Massachusetts with full comorbidity list (Massachusetts1), and MA with a modified comorbidity list (Massachusetts2). The CSC scores, as well as FCFS, determined which patients were eligible to receive critical care under 2 scarcity scenarios: 50 versus 100 ICU bed capacity. We assessed the association between race/ethnicity and eligibility for critical care with logistic regression. RESULTS: Of 211 patients, 139 (66%) were male, 95 (45%) were Hispanic, 23 (11%) were non-Hispanic Black, and 69 (33%) were non-Hispanic White. Hispanic patients had the fewest comorbidities. Assuming a 50 ICU bed capacity, Hispanic patients had significantly higher odds of receiving critical care services across all CSC guidelines, except FCFS. However, assuming a 100 ICU bed capacity, Hispanic patients had greater odds of receiving critical care services under only the Massachusetts2 guidelines (odds ratio, 2.05; 95% CI, 1.09 to 3.85). CONCLUSION: Varying CSC guidelines differentially affect racial and ethnic minority groups with regard to risk stratification. The equity implications of CSC guidelines require thorough investigation before CSC guidelines are implemented.

Neighborhood Disadvantage Measures and COVID-19 Cases in Boston, 2020.

OBJECTIVE: Understanding the pattern of population risk for coronavirus disease 2019 (COVID-19) is critically important for health systems and policy makers. The objective of this study was to describe the association between neighborhood factors and number of COVID-19 cases. We hypothesized an association between disadvantaged neighborhoods and clusters of COVID-19 cases. METHODS: We analyzed data on patients presenting to a large health care system in Boston during February 5-May 4, 2020. We used a bivariate local join-count procedure to determine colocation between census tracts with high rates of neighborhood demographic characteristics (eg, Hispanic race/ethnicity) and measures of disadvantage (eg, health insurance status) and COVID-19 cases. We used negative binomial models to assess independent associations between neighborhood factors and the incidence of COVID-19. RESULTS: A total of 9898 COVID-19 patients were in the cohort. The overall crude incidence in the study area was 32 cases per 10 000 population, and the adjusted incidence per census tract ranged from 2 to 405 per 10 000 population. We found significant colocation of several neighborhood factors and the top quintile of cases: percentage of population that was Hispanic, non-Hispanic Black, without health insurance, receiving Supplemental Nutrition Assistance Program benefits, and living in poverty. Factors associated with increased incidence of COVID-19 included percentage of population that is Hispanic (incidence rate ratio [IRR] = 1.25; 95% CI, 1.23-1.28) and percentage of households living in poverty (IRR = 1.25; 95% CI, 1.19-1.32). CONCLUSIONS: We found a significant association between neighborhoods with high rates of disadvantage and COVID-19. Policy makers need to consider these health inequities when responding to the pandemic and planning for subsequent health needs.

The impact of COVID-19 on statewide EMS use for cardiac emergencies and stroke in Massachusetts.

OBJECTIVE: To evaluate the impact of coronavirus disease 2019 (COVID-19) on emergency medical services (EMS) use for time-sensitive medical conditions. We examined EMS use for cardiac arrest, stroke, and other cardiac emergencies across Massachusetts during the peak of the COVID-19 pandemic, evaluating their relationship to statewide COVID-19 incidence and a statewide emergency declaration. METHODS: A retrospective analysis of all EMS calls between February 15 and May 15, 2020 and the same time period for 2019. EMS call volumes were compared before and after March 10, the date of a statewide emergency declaration. RESULTS: A total of 408,758 calls were analyzed, of which 49,405 (12.1%) represented stroke, cardiac arrest, or other cardiac emergencies. Average call volume before March 10 was similar in both years but decreased significantly after March 10, 2020 by 18.7% (P < 0.001). Compared to 2019, there were 35.6% fewer calls for cardiac emergencies after March 10, 2020 (153.6 vs 238.4 calls/day, P < 0.001) and 12.3% fewer calls for stroke (40.0 vs 45.6 calls/day, P = 0.04). Calls for cardiac arrest increased 18.2% (28.6 vs 24.2 calls/day, P < 0.001). Calls for respiratory concerns also increased (208.8 vs 199.7 calls/day, P < 0.001). There was no significant association between statewide incidence of COVID-19 and EMS call volume. CONCLUSIONS: EMS use for certain time-sensitive conditions decreased after a statewide emergency declaration, irrespective of actual COVID-19 incidence, suggesting the decrease was related to perception instead of actual case counts. These findings have implications for public health messaging. Measures must be taken to clearly inform the public that immediate emergency care for time-sensitive conditions remains imperative.

Ambulance Calls for Substance-Related Issues Before and After COVID-19.

Background: The United States is currently facing 2 epidemics: sustained morbidity and mortality from substance use and the more recent COVID-19 pandemic. We tested the hypothesis that the pandemic has disproportionately affected individuals with substance use disorder by evaluating average daily 9-1-1 ambulance calls for substance use-related issues compared with all other calls. Methods: This was a retrospective cross-sectional analysis of 9-1-1 ambulance calls before and after the start of COVID-19 in Massachusetts. We used consecutive samples of 9-1-1 ambulance calls, categorized into those which were substance-related or not. An interrupted time series analysis was performed to determine if there were changes in numbers of daily calls before a statewide declaration of emergency for COVID-19 (February 15-March 9, 2020), from the emergency declaration until a stay-at-home advisory (March 10-March 22, 2020) and following the stay-at-home advisory (March 23-May 15, 2020). Results: Compared with prior to the statewide emergency, the post-statewide emergency average of daily ambulance calls decreased from 2,453.2 to 1,969.6, a 19.7% decrease. Similarly, calls for substance-related reasons decreased by 16.4% compared with prior to the statewide emergency. However, despite an initial decrease in calls, after the stay-at-home advisory calls for substance use began increasing by 0.7 (95% confidence interval (CI) 0.4-1.1) calls/day, while calls for other reasons did not significantly change (+1.2 (95% CI -0.8 to 3.1) calls/day). Refusal of transport for substance-related calls increased from 5.0% before the statewide emergency to 7.5% after the declaration (p < 0.001). Conclusions: After an initial decline in substance-related ambulance calls following a statewide declaration of emergency, calls for substance use increased to pre-COVID-19 levels, while those for other reasons remained at a lower rate. The results suggest that COVID-19 is disproportionately affecting individuals with substance use disorder.

Emergency Medical Services Personnel Awareness and Training about Personal Protective Equipment during the COVID-19 Pandemic.

Background: With the emergence of the 2019 novel coronavirus disease (COVID-19), appropriate training for emergency medical services (EMS) personnel on personal protective equipment (PPE) is essential. We aimed: 1) to examine the change in proportions of EMS personnel reporting awareness of and training in PPE during the COVID-19 pandemic; and 2) to determine factors associated with reporting these outcomes.We conducted a cross-sectional analysis of data collected from October 1, 2019 to June 30, 2020 from currently working, nationally certified EMS personnel (n = 15,339), assessing N95 respirator fit testing; training in air purified respirators (APR) or powered APR (PAPR) use; and training on PPE use for chemical, biological, and nuclear (CBN) threats. We used an interrupted time series analysis to determine changes in proportions of EMS personnel reporting training per week, using the date of Centers for Disease Control and Prevention's (CDC) initial EMS guidance (February 6, 2020) as the interruption. We fit multivariable logistic regression models to understand factors associated with each outcome.Results: We found high awareness of N95 respirators (99%) and APR/PAPR (91%), but only 61% reported N95 fit testing and 64% reported training on PPE for CBN threats in the prior 12 months. There was a significant, positive slope change after CDC guidance for N95 respirator fit testing, and significant post-interruption mean increases for fit testing (0.9%, 95% CI 0.6-1.1%), APR/PAPR training (0.3%, 95% CI 0.2-0.5%), and PPE for CBN threats training (0.6%, 95% CI 0.3-0.9%). Factors consistently associated with lower odds of awareness/training included part-time employment, providing 9-1-1 response service, working at a non-fire-based EMS agency, and working in a rural setting.Conclusions: CDC guidance on COVID-19 for EMS may have increased N95 fit testing and training, but there remain substantial gaps in training on PPE use among EMS personnel. As the pandemic continues in our communities, EMS agencies should be supported in efforts to adequately prepare their staff.