Prospective validation of a hospital triage predictive model to decrease undertriage: an EAST multicenter study.

Background: Tiered trauma team activation (TTA) allows systems to optimally allocate resources to an injured patient. Target undertriage and overtriage rates of <5% and <35% are difficult for centers to achieve, and performance variability exists. The objective of this study was to optimize and externally validate a previously developed hospital trauma triage prediction model to predict the need for emergent intervention in 6 hours (NEI-6), an indicator of need for a full TTA. Methods: The model was previously developed and internally validated using data from 31 US trauma centers. Data were collected prospectively at five sites using a mobile application which hosted the NEI-6 model. A weighted multiple logistic regression model was used to retrain and optimize the model using the original data set and a portion of data from one of the prospective sites. The remaining data from the five sites were designated for external validation. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC) were used to assess the validation cohort. Subanalyses were performed for age, race, and mechanism of injury. Results: 14 421 patients were included in the training data set and 2476 patients in the external validation data set across five sites. On validation, the model had an overall undertriage rate of 9.1% and overtriage rate of 53.7%, with an AUROC of 0.80 and an AUPRC of 0.63. Blunt injury had an undertriage rate of 8.8%, whereas penetrating injury had 31.2%. For those aged ≥65, the undertriage rate was 8.4%, and for Black or African American patients the undertriage rate was 7.7%. Conclusion: The optimized and externally validated NEI-6 model approaches the recommended undertriage and overtriage rates while significantly reducing variability of TTA across centers for blunt trauma patients. The model performs well for populations that traditionally have high rates of undertriage. Level of evidence: 2.

Understanding racial/ethnic disparities in COVID-19 mortality using a novel metric: COVID excess mortality percentage.

Prior research on racial/ethnic disparities in COVID-19 mortality has often not considered to what extent they reflect COVID-19-specific factors, versus preexisting health differences. This study examines how racial/ethnic disparities in COVID-19 mortality vary with age, sex, and time period over April-December 2020 in the United States, using mortality from other natural causes as a proxy for underlying health. We study a novel measure, the COVID excess mortality percentage (CEMP), defined as the COVID-19 mortality rate divided by the non-COVID natural mortality rate, converted to a percentage, where the CEMP denominator controls (albeit imperfectly) for differences in population health. Disparities measured using CEMP deviate substantially from those in prior research. In particular, we find very high disparities (up to 12:1) in CEMP rates for Hispanics versus Whites, particularly for nonelderly men. Asians also have elevated CEMP rates versus Whites, which were obscured in prior work by lower overall Asian mortality. Native Americans and Blacks have significant disparities compared with White populations, but CEMP ratios to Whites are lower than ratios reported in other work. This is because the higher COVID-19 mortality for Blacks and Native Americans comes partly from higher general mortality risk and partly from COVID-specific risk.

Asthma as a Risk Factor for Hospitalization in Children and Youth With COVID-19: A Retrospective Cohort Study.

BACKGROUND: Studies examining the association between asthma and hospitalization among children and youth with coronavirus disease 2019 (COVID-19) have yielded mixed results. Both asthma and COVID-19 hospitalization are characterized by racial, ethnic and socioeconomic disparities which also pattern geographically, yet no studies to date have adjusted for neighborhood context in the assessment of this association. METHODS: Mixed effects logistic regression was used to estimate the association between asthma and hospitalization due to COVID-19 in a sample of 28,997 children and youth diagnosed with COVID-19 in Milwaukee County, Wisconsin, from March 1, 2020, to May 31, 2022. Models adjusted for individual-level sociodemographic factors (age, gender, race, ethnicity and city/suburb residence) and season of diagnosis were examined as moderators. Random intercepts by census tract accounted for geographic variation in neighborhood factors and census tract-level measures of education, health and environment, and social and economic factors were assessed via childhood opportunity indices. RESULTS: Asthma history was statistically significantly associated with hospitalization due to COVID-19 among children and youth. Hospitalization rates varied statistically significantly by census tract, and results were unchanged after accounting for childhood opportunity indices and census tract. Season of diagnosis was not found to moderate the effect of asthma history on COVID-19 hospitalization. CONCLUSION: Our study suggests that asthma history is a risk factor for hospitalization in the context of COVID-19 infection among children and youth, warranting observation and follow-up of children with asthma as well as continued measures to prevent COVID-19 in this population.

Evidence on COVID-19 Mortality and Disparities Using a Novel Measure, COVID excess mortality percentage: Evidence from Indiana, Wisconsin, and Illinois.

COVID-19 mortality rates increase rapidly with age, are higher among men than women, and vary across racial/ethnic groups, but this is also true for other natural causes of death. Prior research on COVID-19 mortality rates and racial/ethnic disparities in those rates has not considered to what extent disparities reflect COVID-19-specific factors, versus preexisting health differences. This study examines both questions. We study the COVID-19-related increase in mortality risk and racial/ethnic disparities in COVID-19 mortality, and how both vary with age, gender, and time period. We use a novel measure validated in prior work, the COVID Excess Mortality Percentage (CEMP), defined as the COVID-19 mortality rate (Covid-MR), divided by the non-COVID natural mortality rate during the same time period (non-Covid NMR), converted to a percentage. The CEMP denominator uses Non-COVID NMR to adjust COVID-19 mortality risk for underlying population health. The CEMP measure generates insights which differ from those using two common measures-the COVID-MR and the all-cause excess mortality rate. By studying both CEMP and COVID-MRMR, we can separate the effects of background health from Covid-specific factors affecting COVID-19 mortality. We study how CEMP and COVID-MR vary by age, gender, race/ethnicity, and time period, using data on all adult decedents from natural causes in Indiana and Wisconsin over April 2020-June 2022 and Illinois over April 2020-December 2021. CEMP levels for racial and ethnic minority groups can be very high relative to White levels, especially for Hispanics in 2020 and the first-half of 2021. For example, during 2020, CEMP for Hispanics aged 18-59 was 68.9% versus 7.2% for non-Hispanic Whites; a ratio of 9.57:1. CEMP disparities are substantial but less extreme for other demographic groups. Disparities were generally lower after age 60 and declined over our sample period. Differences in socio-economic status and education explain only a small part of these disparities.

Selection Effects and COVID-19 Mortality Risk after Pfizer vs. Moderna Vaccination: Evidence from Linked Mortality and Vaccination Records.

Prior research generally finds that the Pfizer-BioNTech (BNT162b2) and Moderna (mRNA1273) COVID-19 vaccines provide similar protection against mortality, sometimes with a Moderna advantage due to slower waning. However, most comparisons do not address selection effects for those who are vaccinated and with which vaccine. We report evidence on large selection effects, and use a novel method to control for these effects. Instead of directly studying COVID-19 mortality, we study the COVID-19 excess mortality percentage (CEMP), defined as the COVID-19 deaths divided by non-COVID-19 natural deaths for the same population, converted to a percentage. The CEMP measure uses non-COVID-19 natural deaths to proxy for population health and control for selection effects. We report the relative mortality risk (RMR) for each vaccine relative to the unvaccinated population and to the other vaccine, using linked mortality and vaccination records for all adults in Milwaukee County, Wisconsin, from 1 April 2021 through 30 June 2022. For two-dose vaccinees aged 60+, RMRs for Pfizer vaccinees were consistently over twice those for Moderna, and averaged 248% of Moderna (95% CI = 175%,353%). In the Omicron period, Pfizer RMR was 57% versus 23% for Moderna. Both vaccines demonstrated waning of two-dose effectiveness over time, especially for ages 60+. For booster recipients, the Pfizer-Moderna gap is much smaller and statistically insignificant. A possible explanation for the Moderna advantage for older persons is the higher Moderna dose of 100 µg, versus 30 µg for Pfizer. Younger persons (aged 18-59) were well-protected against death by two doses of either vaccine, and highly protected by three doses (no deaths among over 100,000 vaccinees). These results support the importance of a booster dose for ages 60+, especially for Pfizer recipients. They suggest, but do not prove, that a larger vaccine dose may be appropriate for older persons than for younger persons.

Understanding COVID-19 Vaccine Effectiveness against Death Using a Novel Measure: COVID Excess Mortality Percentage.

COVID-19 vaccines have saved millions of lives; however, understanding the long-term effectiveness of these vaccines is imperative to developing recommendations for booster doses and other precautions. Comparisons of mortality rates between more and less vaccinated groups may be misleading due to selection bias, as these groups may differ in underlying health status. We studied all adult deaths during the period of 1 April 2021-30 June 2022 in Milwaukee County, Wisconsin, linked to vaccination records, and we used mortality from other natural causes to proxy for underlying health. We report relative COVID-19 mortality risk (RMR) for those vaccinated with two and three doses versus the unvaccinated, using a novel outcome measure that controls for selection effects. This measure, COVID Excess Mortality Percentage (CEMP), uses the non-COVID natural mortality rate (Non-COVID-NMR) as a measure of population risk of COVID mortality without vaccination. We validate this measure during the pre-vaccine period (Pearson correlation coefficient = 0.97) and demonstrate that selection effects are large, with non-COVID-NMRs for two-dose vaccinees often less than half those for the unvaccinated, and non-COVID NMRs often still lower for three-dose (booster) recipients. Progressive waning of two-dose effectiveness is observed, with an RMR of 10.6% for two-dose vaccinees aged 60+ versus the unvaccinated during April-June 2021, rising steadily to 36.2% during the Omicron period (January-June, 2022). A booster dose reduced RMR to 9.5% and 10.8% for ages 60+ during the two periods when boosters were available (October-December, 2021; January-June, 2022). Boosters thus provide important additional protection against mortality.

Blind Spots: Biases in Prehospital Race and Ethnicity Recording.

OBJECTIVE: Inequities have been described in areas of prehospital care ranging from pain medication administration and scene time, to stroke and cardiac arrest management. Though a critical element in understanding inequity, race and ethnicity information are often missing from the prehospital patient care report. This study aimed to characterize and understand demographic trends among records with missing race and ethnicity information. METHODS: This before-and-after retrospective review compared patient care reports prior to and after an intervention that mandated the recording of patient race and ethnicity. Records with incomplete race and ethnicity information in the before group were evaluated to understand demographic patterns associated with this incomplete documentation. RESULTS: Among 98,725 patient care reports, race/ethnicity in the before period as compared to the after period was less likely to be documented in nonwhite patients (p < 0.001), younger patients (p < 0.001), male patients (p < 0.001), and non-emergent transports (p < 0.001). CONCLUSIONS: When compared to data after the implementation of mandated race and ethnicity fields, missing race and ethnicity data were found to be more common in patients of color, younger patients, males, and those transported non-emergently. Inconsistent completion of race and ethnicity documentation may lead to a poor understanding of equity issues within a system, suggesting a need for mandatory race and ethnicity fields.

Understanding COVID-19 Vaccine Effectiveness Against Death Using a Novel Measure: COVID Excess Mortality Percentage.

COVID-19 vaccines have saved millions of lives and prevented countless adverse patient disease outcomes. Understanding the long-term effectiveness of these vaccines is imperative to developing recommendations for precautions and booster doses. Comparisons between more and less vaccinated groups may be misleading due to selection bias, as these groups may differ in underlying health status and thus risk of adverse COVID-19 outcomes. We study all adult deaths over April 1, 2021-June 30, 2022 in Milwaukee County, Wisconsin, linked to vaccination records, use mortality from other natural causes to proxy for underlying health, and report relative COVID-19 mortality risk (RMR) for vaccinees versus the unvaccinated, using a novel outcome measure that controls for selection effects. This measure, COVID Excess Mortality Percentage (CEMP) uses the non-COVID natural mortality rate (Non-Covid-NMR) as a measure of population risk of COVID mortality without vaccination. We validate this measure during the pre-vaccine period (r = 0.97) and demonstrate that selection effects are large, with Non-Covid-NMRs for two-dose vaccinees less than half those for the unvaccinated, and Non-COVID NMRs still lower for three dose (booster) recipients. Progressive waning of two-dose effectiveness is observed, with relative mortality risk (RMR) for two-dose vaccinees aged 60 + versus the unvaccinated of 11% during April-June 2021, rising steadily to 36% during the Omicron period (January-June, 2022). Notably, a booster dose reduced RMR to 10-11% for ages 60+. Boosters thus provide important additional protection against mortality.

Outcomes of law enforcement officer administered naloxone.

OBJECTIVE: Law enforcement officer (LEO) administered naloxone is an effective intervention for treating prehospital opioid overdoses. Our objective is to determine the rate and factors associated with adverse behavioral effects and efficacy following LEO naloxone administration. METHODS: This is a retrospective cohort study of patients treated with naloxone law enforcement over 5 years in one county EMS system. Law enforcement officers utilized intranasal 4 mg/0.1 mL for suspected opioid overdose. Data were acquired from forms completed by LEO following administration of naloxone. We performed descriptive statistics. Univariate regression analysis with a primary outcome of improved neurological status and a secondary outcome of patient irritability/combativeness post-naloxone. RESULTS: A total of 597 cases of LEO administered naloxone were reported. Naloxone was felt to be effective by the LEO in 370 (62%) of these cases with 6 (1%) exhibiting combativeness and 57 (10%) having the composite outcome of irritability or combativeness. The perceived rate of efficacy was higher when an opioid, rather than a non-opioid agent was suspected (239/346 [67%] vs. 83/165 [50%], OR 2.21, 95% CI 1.51-3.23), and for heroin and fentanyl specifically. Suspected fentanyl exposure was the only variable associated with our secondary outcome of irritability or combativeness (7/22 [32%] vs. 45/489 [9%], OR 4.60, 95% CI 1.78-11.8). CONCLUSIONS: LEO administered naloxone remains an effective intervention for overdose victims, with higher perceived efficacy when opioids are specifically implicated. Combativeness is rare following LEO naloxone administration. Further research is needed to understand a relationship between suspected fentanyl intoxication and post-naloxone behavioral disturbances.

Accidental Occupational Exposure to a Large Volume of Liquid Fentanyl on a Compromised Skin Barrier with No Resultant Effect.

The high prevalence of fentanyl in the illicit drug supply has generated concern among first responders regarding occupational exposure. Social media sharing of unconfirmed first responder overdoses after brief exposure to fentanyl may be contributing to an inappropriate risk perception of brief dermal fentanyl exposure. This case details a dermal exposure to a large dose of analytically confirmed pharmaceutical fentanyl (fentanyl citrate, 10 microgram fentanyl base per ml), over a large skin surface area. Additionally, the exposure occurred at a site with some skin barrier compromise, a factor that can increase fentanyl absorption. The patient underwent appropriate decontamination and underwent a brief medical assessment with no clinical effects of opioid exposure observed. This information is of value to first responders and other health care workers who are at risk of occupational fentanyl exposure. Findings are consistent with in vitro and ex vivo data supporting low risk of rapid absorption after brief dermal fentanyl exposure.

The relationship between adverse childhood experiences, the frequency and acuity of emergency department utilization and primary care engagement.

INTRODUCTION: A history of adverse child experiences (ACEs) is associated with increased high-risk adult behaviors, morbidity, mortality, and use of the emergency department. This study was designed to understand the relationship between ACEs and the characteristics of emergency department use and primary care engagement. METHODS: An in-person survey was conducted at an academic emergency department (ED) assessing ACE score, emergency department utilization and acuity, and primary care engagement. RESULTS: The prevalence of ACEs was 71.1% with 1+ ACE and 32.5% with 4+ ACE. ACE scores of four or more were associated with three or more ED visits in the past year compared those with an ACE score of zero (OR 3.22; p < 0.05) and when adjusted for sociodemographic factors (OR 3.22; p < 0.10). Higher ACE scores were associated with lower acuity presentations as indicated by the Emergency Severity Index before (ACE score 1 OR 3.91 p < 0.05; ACE score 2-3 OR 2.35 p < 0.05; ACE score 4+ OR 3.95 p < 0.05) and after adjustment (ACE score 1 OR 3.80 p < 0.10; ACE 2-3 OR 3.50 p < 0.10; ACE 4+ OR 4.36 p < 0.05). There was no association between ACE score and having a primary care provider (PCP), frequency of PCP visits, or PCP rating. CONCLUSION: Higher ACE scores were associated with higher emergency department utilization and lower acuity presentations but not associated with levels of primary care engagement. Additional investigations are needed to adequately characterize the discrete causal mechanisms behind these current findings.

Targeting Equity in COVID-19 Vaccinations Using the "Evaluating Vulnerability and Equity" (EVE) Model.

The COVID-19 pandemic has highlighted racial and ethnic disparities, most recently in vaccine administration. The EVE (Evaluating Vulnerability and Equity) Model combines a community's vulnerability with vaccination rates to enhance the equity of vaccine distribution in an intentional, targeted manner. When applied to Milwaukee County, Wisconsin, two extreme categories of vaccination status were identified to aid in resource allocation and messaging: populations with high vulnerability and low vaccination levels, and, conversely, those with low vulnerability and high vaccinations levels. (Am J Public Health. 2022;112(2):220-222. https://doi.org/10.2105/AJPH.2021.306585).

Examining the Examiners: How Medical Death Investigators Describe Suicidal, Homicidal, and Accidental Death.

This study describes differences in medicolegal death investigators' written descriptions for people who died by homicide, suicide, or accident. We evaluated 17 years of death descriptions from a midsized metropolitan midwestern county in the United States to assess how death investigators psychologically respond to different manners of death (N = 10,408 cases). Automated text analyses suggest investigators describe accidental deaths with more immediacy relative to homicides, while they also described suicidal deaths in less emotional terms than homicides as well. These data suggest medicolegal death investigators have different psychological reactions to circumstances and manners of death as indicated by their professional writing. Future research may surface context-specific psychological reactions to vicarious trauma that could inform the design or personalization of workplace-coping interventions.

Change in out-of-hospital 12-lead ECG diagnostic classification following resuscitation from cardiac arrest.

INTRODUCTION: We evaluated the incidence of change in serial 12-lead electrocardiogram (ECG) diagnostic classifications in patients resuscitated from out-of-hospital (OH) cardiac arrest (OHCA) comparing OH to emergency department (ED) ECGs. METHODS: This retrospective case series included: 1) adults (≥ 18 years old), 2) resuscitated from OHCA, 3) ≥ 1 OH and 1 ED ECG/patient, and 4) emergency medical services (EMS) transport to the study hospital. OH and ED ECGs were classified as: 1) STEMI (ST-segment Elevation Myocardial Infarction), 2) Ischemic, and 3) Non-ischemic. Two ED physicians and one cardiologist independently classified all ECGs, then generated a consensus opinion classification for each ECG based on American Heart Association's 2018 Expert Consensus criteria. The most ischemic OH ECG classification was compared with the last ED ECG classification. RESULTS: From 7/27/12 to 7/18/19, 176 patients were entered with a mean age of 61.2 ± 16.6 years; 102/176 (58%) were male. Overall, 504 OH and ED 12-lead ECGs were acquired (2.9 ECGs/patient). ECG classification inter-rater reliability kappa score was 0.63 ± 0.02 (substantial agreement). Overall, 86/176 (49%) changed ECG classification from the OH to ED setting; 69/86 (80%) of these ECGs changed from more to less ischemic classifications. Of 49 OH STEMI ECG classifications, 33/49 (67%) changed to a less ischemic (non-STEMI) ED ECG classification. CONCLUSIONS: Change in 12-lead ECG classification from OH to ED setting in patients resuscitated from OHCA was common (49%). The OH STEMI classification changed to a less ischemic (non-STEMI) ED classification in 67% of cases.

ED EMS time: A COVID-friendly alternative to ambulance ride-alongs.

BACKGROUND: Ambulance ride-alongs are frequently a critical element of educational programs for learners of prehospital emergency care. We describe a novel alternative to the EMS ride-along experience more conducive to COVID-19 restrictions. METHODS: "ED EMS time" was developed as an alternative training method to provide a field-type experience within the emergency department (ED) setting. Over the course of a 4-h shift, medical students observe and complete standardized reflections on online medical control radio consultations and EMS-to-ED patient handoffs. Medical students also interview EMS clinicians to gain insight into prehospital care and the challenges that occur in the field. Experiences are debriefed with an EMS attending. RESULTS: Medical students expressed increased knowledge around the challenges and treatment capabilities of EMS through the ED EMS time experience. They were able to explain what information obtained from the scene was helpful to EMS clinicians. Medical students were able to realize the objectives of ambulance ride time through an ED experience designed around EMS. CONCLUSIONS: ED EMS time represents a novel approach to teaching medical students the intricacies of prehospital medicine from the confines of the ED while avoiding direct patient contact, preserving PPE, and limiting COVID-19 exposure.

Investigating the Trajectory of the COVID-19 Outbreak in Milwaukee County and Projected Effects of Relaxed Distancing.

INTRODUCTION: The coronavirus pandemic has placed enormous stresses on health care systems across the United States and internationally. Predictive modeling has been an important tool for projecting utilization rates and surge planning. As the initial outbreak begins to slow, questions are being raised regarding long-term coronavirus mitigation plans. This paper examines the current status of the coronavirus outbreak in Milwaukee County, Wisconsin, and simulates several scenarios where physical distancing measures are removed. METHODS: The outbreak's doubling time, reproductive numbers at several points, and incidence curve were calculated to assess outbreak progression. Compartmental models were used to estimate the number of hospitalizations and critically ill patients in Milwaukee County if distancing policies were removed. RESULTS: The compartmental models predict a substantial spike in cases and overwhelming medical resource utilization with an abrupt end to social distancing. Partial reduction in social distancing policies would likely result in a smaller spike, with less severe strain on available medical resources. CONCLUSIONS: Milwaukee County remains very susceptible to a resurgence of COVID-19 cases. Removing physical distancing policies poses significant risks with regard to resource management.

Innovative Approaches to Emergency Medical Services Fellowship Challenges.

INTRODUCTION: Since the development of an Accreditation Council of Graduate Medical Education (ACGME)-accredited emergency medical services (EMS) fellowship, there has been little published literature on effective methods of content delivery or training modalities. Here we explore a variety of innovative approaches to the development and revision of the EMS fellowship curriculum. METHODS: Three academic, university-based ACGME-accredited EMS fellowship programs each implemented an innovative change to their existing training curricula. These changes included the following: a novel didactic curriculum delivery modality and evaluation; implementation of a distance education program to improve EMS fellows' rural EMS experiences; and modification of an existing EMS fellowship curriculum to train a non-emergency medicine physician. RESULTS: Changes made to each of the above EMS fellowship programs addressed unique challenges, demonstrating areas of success and promise for more generalized implementation of these curricula. Obstacles remain in tailoring the described curricula to the needs of each unique institution and system. CONCLUSION: Three separate curricula and program changes were implemented to overcome specific challenges and achieve educational goals. It is our hope that our shared experiences will enable others in addressing common barriers to teaching the EMS fellowship core content and share similar innovative approaches to educational challenges.

Choosing a Vasopressor for a Prehospital Emergency Medical System: Consideration for Agent Selection and Review of Pharmacologic Profiles, Efficacy, and Safety in Treatment of Shock.

INTRODUCTION: Prehospital medical teams encounter patients with varying states of shock that require the use of vasopressors for hemodynamic support during transport. Selection of a vasopressor is challenging due to the absent comparative literature in prehospital medicine, as well as practical limitation of use in an ambulance. AREAS COVERED: This article discusses specific challenges in the delivery of vasopressor support for hemodynamically compromised patients in the prehospital environment. Discussion includes the current state of vasopressor use in prehospital medicine, use of a patient-specific agent selection or "one-vasopressor-fits-all" modality, as well as considerations for each vasopressor based on practical, pharmacologic, and comparative evidence-based evaluations. CONCLUSIONS: There are currently many limitations to assessment of shock etiology in the prehospital setting. A "one-vasopressor-fits-all" strategy may be most feasible for most prehospital emergency medical services (EMS) systems. No clear difference in extravasation exists amongst agents. Based on current evidence, norepinephrine may be more efficacious and have a better safety profile than other vasopressors in cardiogenic, distributive, and neurogenic shocks. Due to its suitability for most shocks, norepinephrine is a reasonable agent for EMS systems to employ as a "one-size-fits-all" vasopressor.

Self-Assessment Feedback Form Improves Quality of Out-of-Hospital CPR.

Objective: Various continuous quality improvement (CQI) approaches have been used to improve quality of cardiopulmonary resuscitation (CPR) delivered at the scene of out-of-hospital cardiac arrest. We evaluated a post-event, self-assessment, CQI feedback form to determine its impact on delivery of CPR quality metrics. Methods: This before/after retrospective review evaluated data from a CQI program in a midsized urban emergency medical services (EMS) system using CPR quality metrics captured by Zoll Medical Inc. X-series defibrillator ECG files in adult patients (≥18 years old) with non-traumatic out-of-hospital cardiac arrest. Two 9-month periods, one before and one after implementation of the feedback form on December 31, 2013 were evaluated. Metrics included the mean and percentage of goal achievement for chest compression depth (goal: >5 centimeters [cm]; >90%/episode), rate (goal: 100-120 compressions/minute [min]), chest compression fraction (goal: ≥75%), and preshock pause (goal: <10 seconds [sec]). The feedback form was distributed to all EMS providers involved in the resuscitation within 72 hours for self-review. Results: A total of 439 encounters before and 621 encounters after were evaluated including basic life support (BLS) and advanced life support (ALS) providers. The Before Group consisted of 408 patients with an average age of 61 ± 17 years, 61.8% male. The After Group consisted of 556 patients with an average age of 61 ± 17 years, 58.3% male. Overall, combining BLS and ALS encounters, the mean CPR metric values before and after were: chest compression depth (5.0 cm vs. 5.5 cm; p < 0.001), rate (109.6/min vs 114.8/min; p < 0.001), fraction (79.2% vs. 86.4%; p < 0.001), and preshock pause (18.8 sec vs. 11.8 sec; p < 0.001), respectively. Overall, the percent goal achievement before and after were: chest compression depth (48.5% vs. 66.6%; p < 0.001), rate (71.8% vs. 71.7%, p = 0.78), fraction (68.1% vs. 91.0%; p < 0.001), and preshock pause (24.1% vs. 59.5%; p < 0.001), respectively. The BLS encounters and ALS encounters had similar statistically significant improvements seen in all metrics. Conclusion: This post-event, self-assessment CQI feedback form was associated with significant improvement in delivery of out-of-hospital CPR depth, fraction and preshock pause time.