Police Involvement in Out-of-Hospital Cardiac Arrest: A Qualitative Exploration of Law Enforcement Roles and Contributing Organizational Factors.

OBJECTIVES: Many American police organizations respond to out-of-hospital cardiac arrest (OHCA). This study sought to: 1) explore variation in the role of police in OHCA across emergency medical systems and 2) identify factors influencing this variation. METHODS: We conducted a qualitative multisite case study analysis using data collected through semi-structured key informant interviews and multidisciplinary focus groups with telecommunicators, fire, police, emergency medical services, and hospital personnel across nine Michigan emergency systems of care. Sites were sampled based on return of spontaneous circulation rates, trauma region, geography, rurality, and population density. Data were analyzed to examine police role in OHCA and the organizational factors that contribute to these roles. Transcripts and coded data were explored using iterative thematic analysis and matrices. RESULTS: Interviews included approximately 160 public safety informants of varying administrative levels (i.e., field staff, mid-level managers, and leadership). Across systems, police played four on-scene roles in OHCA response: 1) early responder, 2) resuscitation team member, 3) security, and 4) information gathering. Less consistently, police performed supplementary roles as telecommunicators and cardiac arrest educators. We found that factors including administrative structure of the police agency, resources (e.g., human and material), organizational culture, medical training, deployment and response policies, nature of response environment, and relationships with other prehospital stakeholders contributed to the degree certain roles were present. CONCLUSIONS: Police serve numerous on-scene and supplementary roles in OHCA response across jurisdictions. Their roles were influenced by multiple factors at each site. Future studies may help to better understand the value of and how to optimize police engagement in OHCA response.

A cross-stakeholder approach to improving out-of-hospital cardiac arrest survival.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) affects over 300,000 individuals per year in the United States with poor survival rates overall. A remarkable 5-fold difference in survival-to-hospital discharge rates exist across United States communities. METHODS: We conducted a study using qualitative research methods comparing the system of care across sites in Michigan communities with varying OHCA survival outcomes, as measured by return to spontaneous circulation with pulse upon emergency department arrival. RESULTS: Major themes distinguishing higher performing sites were (1) working as a team, (2) devoting resources to coordination across agencies, and (3) developing a continuous quality improvement culture. These themes spanned the chain of survival framework for OHCA. By examining the unique processes, procedures, and characteristics of higher- relative to lower-performing sites, we gleaned lessons learned that appear to distinguish higher performers. The higher performing sites reported being the most collaborative, due in part to facilitation of system integration by progressive leadership that is willing to build bridges among stakeholders. CONCLUSIONS: Based on the distinguishing features of higher performing sites, we provide recommendations for toolkit development to improve survival in prehospital systems of care for OHCA.

Conceptualizing lifer versus destination patients for optimized care delivery.

BACKGROUND: Patients presenting to academic medical centers (AMC) typically receive primary care, specialty care, or both. Resources needed for each type of care vary, requiring different levels of care coordination. We propose a novel method to determine whether a patient primarily receives primary or specialty care to allow for optimization of care coordination. OBJECTIVES: We aimed to define the concepts of a Lifer Patient and Destination Patient and analyze the current state of care utilization in those groups to inform opportunities for improving care coordination. METHODS: Using AMC data for a 36-month study period (FY17-19), we evaluated the number of unique patients by residence zip code. Patients with at least one primary care visit and patients without a primary care visit were classified as Lifer and Destination patients, respectively. Cohen's effect sizes were used to evaluate differences in mean utilization of different care delivery settings. RESULTS: The AMC saw 35,909 Lifer patients and 744,037 Destination patients during the study period. Most patients were white, non-Hispanic females; however, the average age of a Lifer was seventy-two years whereas that of a Destination patient was thirty-eight. On average, a Lifer had three times more ambulatory care visits than a Destination patient. The proportion of Inpatient encounters is similar between the groups. Mean Inpatient length of stay (LOS) is similar between the groups, but Destination patients have more variance in LOS. The rate of admission from the emergency department (ED) for Destination patients is nearly double Lifers'. CONCLUSION: There were differences in ED, ambulatory care, and inpatient utilization between the Lifer and Destination patients. Furthermore, there were incongruities between rate of hospital admissions and LOS between two groups. The Lifer and Destination patient definitions allow for identification of opportunities to tailor care coordination to these unique groups and to allocate resources more efficiently.

How health systems facilitate patient-centered care and care coordination: a case series analysis to identify best practices.

Large- and small-scale transformation of healthcare delivery toward improved patient experience through promotion of patient-centered and coordinated care continues to be at the forefront of health system efforts in the United States. As part of a Quality Improvement (QI) project at a large, midwestern health system, a case series of high-performing organizations was explored with the goal of identifying best practices in patient-centered care and/or care coordination (PCC/CC). Identification of best practices was done through rapid realist review of peer-reviewed literature supporting three PCC/CC interventions per case. Mechanisms responsible for successful intervention outcomes and associated institutional-level facilitators were evaluated, and cross-case analysis produced high-level focus items for health system leadership, including (1) institutional values surrounding PCC/CC, (2) optimization of IT infrastructure to enhance performance and communication, (3) pay structures and employment models that enhance accountability, and (4) organizing bodies to support implementation efforts. Health systems may use this review to gain insight into how institutional-level factors may facilitate small-scale PCC/CC behaviors, or to conduct similar assessments in their own QI projects. Based on our analysis, we recommend health systems seeking to improve PCC/CC at any level or scale to evaluate how IT infrastructure affects provider-provider and provider-patient communication, and the extent to which institutional prioritization of PCC/CC is manifest and held accountable in performance feedback, incentivization, and values shared among departments and settings. Ideally, this evaluation work should be performed and/or supported by cross-department organizing bodies specifically devoted to PCC/CC implementation work.

Social network theory-an underutilized opportunity to align innovative methods with the demands of the opioid epidemic.

It has been almost 3 years since the opioid epidemic was declared a national public health emergency under federal law. Solutions have focused on supply-reduction strategies. These approaches, however, have failed to significantly curtail opioid overdose and related death. Demand for opioid use arising from social networks and environment is an important contributing factor to the current opioid epidemic. Adoption of existing underused methods is needed to drive further progress. This Perspective proposes the social contagion model as a promising framework through which to operationalize evaluation of the influence of social networks and environment in the opioid epidemic and argues for its greater application. Comparing the current epidemic with previous opioid epidemics reiterates the utility of the social contagion model. This model acknowledges social network influence on individual behavior. It leverages tools from epidemiology, permits evaluation of interpersonal influence, facilitates consideration of disproportionate and collateral effects, and overcomes limitations of traditional models and geographic assumptions inherent to many approaches surrounding the current opioid epidemic. Analyzing the opioid epidemic within a social contagion framework will enhance evaluation methods and enable the design of interventions to reflect the actual demands of the current crisis. If the influence of social networks and environment is not considered, the devastating toll of the opioid epidemic could grow.

All-Cause Hospital Admissions Among Older Adults After a Natural Disaster.

STUDY OBJECTIVE: We characterize hospital admissions among older adults for any cause in the 30 days after a significant natural disaster in the United States. The main outcome was all-cause hospital admissions in the 30 days after natural disaster. Separate analyses were conducted to examine all-cause hospital admissions excluding the 72 hours after the disaster, ICU admissions, all-cause inhospital mortality, and admissions by state. METHODS: A self-controlled case series analysis using the 2011 Medicare Provider and Analysis Review was conducted to examine exposure to natural disaster by elderly adults located in zip codes affected by tornadoes during the 2011 southeastern superstorm. Spatial data of tornado events were obtained from the National Oceanic and Atmospheric Administration's Severe Report database, and zip code data were obtained from the US Census Bureau. RESULTS: All-cause hospital admissions increased by 4% for older adults in the 30 days after the April 27, 2011, tornadoes (incidence rate ratio 1.04; 95% confidence interval 1.01 to 1.07). When the first 3 days after the disaster that may have been attributed to immediate injuries were excluded, hospitalizations for any cause also remained higher than when compared with the other 11 months of the year (incidence rate ratio 1.04; 95% confidence interval 1.01 to 1.07). There was no increase in ICU admissions or inhospital mortality associated with the natural disaster. When data were examined by individual states, Alabama, which had the highest number of persons affected, had a 9% increase in both hospitalizations and ICU admissions. CONCLUSION: When all time-invariant characteristics were controlled for, this natural disaster was associated with a significant increase in all-cause hospitalizations. This analysis quantifies acute care use after disasters through examining all-cause hospitalizations and represents an important contribution to building models of resilience-the ability to recover from a disaster-and hospital surge capacity.

Intrastate Variation in Treatment and Outcomes of Out-of-Hospital Cardiac Arrest.

OBJECTIVE: Our objective was to analyze and compare out-of-hospital cardiac arrest (OHCA) system of care performance and outcomes at the Medical Control Authority (MCA) level in the state of Michigan. We hypothesized that clinically and statistically significant variations in treatment and outcomes of OHCA exists within a single U.S. state. METHODS: We performed a retrospective, observational study of all non-traumatic EMS-treated OHCA from the state of Michigan CARES registry for 2014-2015. Geocoding of the OHCA incident address was used to assign records to individual MCAs. MCA-based demographics, arrest characteristics, system of care performance and outcomes were quantified and compared. Associations between demographics, system of care parameters, and outcomes were examined at the MCA level. RESULTS: A total of 8,115 records with complete data were available for analysis. Eleven MCAs met study inclusion criteria of >100 cases, producing a final sample size of 7,788 records (96%). Statistically significant variations in survival to hospital discharge ranged from 4.5% to 15% (p < 0.001) (Adjusted odds ratio [AOR] range 0.6-2.0) and survival with good neurologic outcome 2.7-12.5% (p < 0.001; AOR range 0.5-2.2,) were observed across MCAs. Bystander CPR ranged from 32% to 53% (p < 0.001) and bystander AED application ranged from 3.5% 11.5% (p < 0.05). Of patients admitted to the hospital alive, 29-68% received targeted temperature management. In hospital mortality ranged from 53.1% to 73.9% (p < 0.05). CONCLUSION: Significant intrastate variability in OHCA system of care performance and outcomes currently exist and are similar to what has been previously reported across North America almost a decade ago. This degree of variability highlights the opportunity to optimize modifiable factors within local systems of care to improve OHCA outcomes.

An Emergency Medicine-Primary Care Partnership to Improve Rural Population Health: Expanding the Role of Emergency Medicine.

The health of rural America is failing and our traditional approaches have proved ineffective at improving health in rural communities. Rural populations are now a health disparity population, facing higher mortality rates for the 5 leading causes of death compared with their urban counterparts. We must generate novel, rural-specific approaches to solve this challenge-and there is a clear role for the field of emergency medicine. Building on emergency departments' (EDs') expanding role in health care delivery and emergency medicine's increasing involvement in population health, we propose a new health care delivery model for rural population health based on partnership between emergency medicine and primary care that embraces the important role that EDs play in rural areas.

Cluster Analysis of Acute Care Use Yields Insights for Tailored Pediatric Asthma Interventions.

STUDY OBJECTIVE: We undertake this study to understand patterns of pediatric asthma-related acute care use to inform interventions aimed at reducing potentially avoidable hospitalizations. METHODS: Hospital claims data from 3 Camden city facilities for 2010 to 2014 were used to perform cluster analysis classifying patients aged 0 to 17 years according to their asthma-related hospital use. Clusters were based on 2 variables: asthma-related ED visits and hospitalizations. Demographics and a number of sociobehavioral and use characteristics were compared across clusters. RESULTS: Children who met the criteria (3,170) were included in the analysis. An examination of a scree plot showing the decline in within-cluster heterogeneity as the number of clusters increased confirmed that clusters of pediatric asthma patients according to hospital use exist in the data. Five clusters of patients with distinct asthma-related acute care use patterns were observed. Cluster 1 (62% of patients) showed the lowest rates of acute care use. These patients were least likely to have a mental health-related diagnosis, were less likely to have visited multiple facilities, and had no hospitalizations for asthma. Cluster 2 (19% of patients) had a low number of asthma ED visits and onetime hospitalization. Cluster 3 (11% of patients) had a high number of ED visits and low hospitalization rates, and the highest rates of multiple facility use. Cluster 4 (7% of patients) had moderate ED use for both asthma and other illnesses, and high rates of asthma hospitalizations; nearly one quarter received care at all facilities, and 1 in 10 had a mental health diagnosis. Cluster 5 (1% of patients) had extreme rates of acute care use. CONCLUSION: Differences observed between groups across multiple sociobehavioral factors suggest these clusters may represent children who differ along multiple dimensions, in addition to patterns of service use, with implications for tailored interventions.

Voices from Flint: Community Perceptions of the Flint Water Crisis.

We describe the self-reported socioeconomic and health impacts, as well as the coping mechanisms employed by a drug-using cohort of adults during the Flint water crisis (FWC) in Flint, Michigan. Participants from an ongoing longitudinal Emergency Department study were contacted between April 2016 and July 2016 and completed a survey focusing on exposure, consequences, and coping strategies. One hundred thirty-three participants (mean age = 26, 65% African-American, 61% public assistance) completed the survey (37.9% response rate). Of these, 75% reported exposure to water with elevated lead levels. Of these, 75% reported additional monthly expenses resulting from exposure. Almost 40% of parents reported changes in their children's health and 65% reported changes to their health since the FWC. Participants indicated the use of both positive (e.g., advice from trusted neighbors, 99.0%) and negative coping mechanisms (e.g., increased substance use, 20.0%) in response to this public health emergency. High-risk Flint residents reported multiple social, economic, and health-related consequences stemming from the FWC. Policymakers should consider additional resources for those affected, including increased access to mental health to aid recovery within the community.

Surveillance and Security in US Medicine and Equipment Supply Chains.

The COVID-19 pandemic exposed vulnerabilities of the United States' routine and emergency supply chains of medicines and critical equipment. These vulnerabilities underscore an urgent need to prevent routine and emergency shortages by making drug manufacturing more transparent and by tracking how key supplies get to end users. Near real-time surveillance systems must be developed to monitor fluctuations in supplies of medicines and equipment. Implementation of such systems will require getting key stakeholders (clinicians, administrators, community members, manufacturers, and policy makers) to collaborate.

Identifying Strategies for Strengthening the Health Care Workforce in the Commonwealth of Virginia.

Like the United States as a whole, Virginia faces a significant shortage of health care workers in nursing, primary care, and behavioral health. If current trends persist, these shortages will increase across Virginia. The authors of this study identify interventions that can help the Virginia Health Workforce Development Authority (VHWDA) address these health care workforce shortages. To accomplish this goal, they applied an analytic framework to existing or potential interventions for retaining, recruiting, and improving the structural efficiency of the nursing, primary care, and behavioral health workforces in Virginia. In this study, they highlight which interventions VHWDA should prioritize based on its desired outcomes and policy goals.

The impact of a large-scale power outage on hemodialysis center operations.

INTRODUCTION: On June 29, 2012, mid-Atlantic storms resulted in a large-scale power outage affecting up to three million people across multiple (US) states. Hemodialysis centers are dependent on electricity to provide dialysis care to end-stage renal disease patients. The objective of this study was to determine how the power outage impacted operations in a sample of hemodialysis centers in the impacted regions. METHODS: The sample consisted of all hemodialysis centers located in the District of Columbia and a total of five counties with the largest power losses in West Virginia, Virginia, and Maryland. A semi-structured interview guide was developed, and the charge nurse or supervisor in each facility was interviewed. The survey questions addressed whether their centers lost power, if so, for how long, where their patients received dialysis, whether their centers had backup generators, and if so, whether they had any problems operating them, and whether their center received patients from other centers if they had power. RESULTS: Calls were placed to 90 dialysis centers in the sampled areas and a 90% response rate was achieved. Overall, hemodialysis operations at approximately 30% (n = 24) of the centers queried were impacted by the power outage. Of the 36 centers that lost power, 31% (n = 11) referred their patients to other dialysis centers, 22% (n = 8) accommodated their patients during a later shift or on a different day; the rest of the centers either experienced brief power outages that did not affect operations or experienced a power outage on days that the center is usually closed. Some centers in the study cohort reported receiving patients from other centers for dialysis 33% (n = 27). Thirty-two percent (n = 26) of the centers queried had backup generators on site. Eleven percent (n = 4) of the centers experiencing power outages reported that backup generators were brought in by their parent companies. CONCLUSIONS: Comprehensive emergency planning for dialysis centers should include provisions for having backup generators on site, having plans in place for the timely delivery of a generator during a power outage, or having predesignated backup dialysis centers for patients to receive dialysis during emergencies. Most dialysis centers surveyed in this study were able to sustain continuity of care by implementing such pre-existing emergency plans.

Design of a model to predict surge capacity bottlenecks for burn mass casualties at a large academic medical center.

OBJECTIVES: To design and test a model to predict surge capacity bottlenecks at a large academic medical center in response to a mass-casualty incident (MCI) involving multiple burn victims. METHODS: Using the simulation software ProModel, a model of patient flow and anticipated resource use, according to principles of disaster management, was developed based upon historical data from the University Hospital of the University of Michigan Health System. Model inputs included: (a) age and weight distribution for casualties, and distribution of size and depth of burns; (b) rate of arrival of casualties to the hospital, and triage to ward or critical care settings; (c) eligibility for early discharge of non-MCI inpatients at time of MCI; (d) baseline occupancy of intensive care unit (ICU), surgical step-down, and ward; (e) staff availability-number of physicians, nurses, and respiratory therapists, and the expected ratio of each group to patients; (f) floor and operating room resources-anticipating the need for mechanical ventilators, burn care and surgical resources, blood products, and intravenous fluids; (g) average hospital length of stay and mortality rate for patients with inhalation injury and different size burns; and (h) average number of times that different size burns undergo surgery. Key model outputs include time to bottleneck for each limiting resource and average waiting time to hospital bed availability. RESULTS: Given base-case model assumptions (including 100 mass casualties with an inter-arrival rate to the hospital of one patient every three minutes), hospital utilization is constrained within the first 120 minutes to 21 casualties, due to the limited number of beds. The first bottleneck is attributable to exhausting critical care beds, followed by floor beds. Given this limitation in number of patients, the temporal order of the ensuing bottlenecks is as follows: Lactated Ringer's solution (4 h), silver sulfadiazine/Silvadene (6 h), albumin (48 h), thrombin topical (72 h), type AB packed red blood cells (76 h), silver dressing/Acticoat (100 h), bismuth tribromophenate/Xeroform (102 h), and gauze bandage rolls/Kerlix (168 h). The following items do not precipitate a bottleneck: ventilators, topical epinephrine, staplers, foams, antimicrobial non-adherent dressing/Telfa types A, B, or O blood. Nurse, respiratory therapist, and physician staffing does not induce bottlenecks. CONCLUSIONS: This model, and similar models for non-burn-related MCIs, can serve as a real-time estimation and management tool for hospital capacity in the setting of MCIs, and can inform supply decision support for disaster management.

Evaluating the pediatric mental health care continuum at an American health system.

Objective: To describe trends in the pediatric mental health care continuum and identify potential gaps in care coordination. Methods: We used electronic medical record data from October 2016 to September 2019 to characterize the prevalence of mental health issues in the pediatric population at a large American health system. This was a single institution case study. From the electronic medical record data, primary mental health discharge and readmission diagnoses were identified using International Classification of Diseases (ICD-9-CM, ICD-10-CM) codes. The electronic medical record was queried for mental health-specific diagnoses as defined by International Classification of Diseases classification, analysis of which was facilitated by the fact that only 176 mental health codes were billed for. Additionally, prevalence of care navigation encounters was assessed through electronic medical record query, as care navigation encounters are specifically coded. These encounter data was then segmented by care delivery setting. Results: Major depressive disorder and other mood disorders comprised 49.6% and 89.4% of diagnoses in the emergency department and inpatient settings respectively compared to 9.0% of ambulatory care diagnoses and were among top reasons for readmission. Additionally, only 1% of all ambulatory care encounters had a care navigation component, whereas 86% of care navigation encounters were for mental health-associated reasons. Conclusions: Major depressive disorder and other mood disorders were more common diagnoses in the emergency department and inpatient settings, which could signal gaps in care coordination. Bridging potential gaps in care coordination could reduce emergency department and inpatient utilization through increasing ambulatory care navigation resources, improving training, and restructuring financial incentives to facilitate ambulatory care diagnosis and management of major depressive disorder and mood disorders. Furthermore, health systems can use our descriptive analytic approach to serve as a reasonable measure of the current state of pediatric mental health care in their own patient population.

Strategies for Enhancing Prehospital Outcomes for Cardiac Arrest (EPOC).

Out-of-hospital cardiac arrest (OHCA) is a common, life-threatening event that is a leading cause of death in the United States. However, it is unclear how to design strategies that can be successfully implemented in emergency medical services (EMS) agencies and broader emergency response systems (such as fire, police, dispatch, and bystanders to OHCA events) in different communities to help improve daily care processes and outcomes in OHCA. The National Heart, Lung, and Blood Institute-funded Enhancing Prehospital Outcomes for Cardiac Arrest (EPOC) study lays the foundation for future quality improvement efforts in OHCA by identifying, understanding, and validating the best practices adopted within emergency response systems to address these life-threatening events and by addressing potential barriers to implementation of these practices. RAND researchers developed recommendations covering all levels of the prehospital OHCA incident response and the principles of change management necessary to implement those recommendations.

Quantifying Ambulatory Care Use Preceding Emergency Department Visits and Hospitalizations for Ambulatory Care Sensitive Conditions.

Ambulatory Care Sensitive Conditions (ACSC) represent a significant source of health care spending in the United States. Existing literature is largely descriptive and there is limited information about how an emergency department (ED) visit or hospitalization for ACSCs is related to prior ambulatory care visits. A retrospective, observational study was conducted using health records from a large midwestern health system during a 20-month period between 2012 and 2014. Our primary variables were (1) type of care setting (i.e., ED visit or hospitalization) and (2) whether the patient received ambulatory care services in the 14, 30, and 60 days before the ED visit or hospital admission. Of patients seen in the ED for ACSCs, 11.9%, 16.3%, and 21.67% were seen in ambulatory care in the 14, 30, and 60 days prior, respectively. Of those hospitalized for ACSCs, 29.1%, 39.9%, and 53% were seen in ambulatory care in the 14, 30, and 60 days prior, respectively. These results highlight a potential lost opportunity to address ACSCs in the ambulatory care setting. Such knowledge can inform interventions to reduce avoidable ACSC-related acute care use and health care costs, and improve patient outcomes.

Identifying Strategies to Boost COVID-19 Vaccine Acceptance in the United States.

This study presents the results of an evaluation of the root causes of COVID-19 vaccine hesitancy to inform strategies to boost vaccine acceptance among vaccine-hesitant populations in the United States. The authors conducted a literature review of the causes of vaccine hesitancy and vaccine acceptance; focus groups with patients, pre-hospital first responders, and hospital-based health care providers; a social media platform sentiment analysis to review attitudes regarding the COVID-19 vaccine; and a roundtable discussion with experts on vaccine hesitancy. Drawing on this mixed-methods analysis, the authors recommend strategies to help boost COVID-19 vaccine acceptance in the United States, grouping them according to three overall goals: boosting confidence in the safety and effectiveness of the COVID-19 vaccines, combating complacency about the pandemic, and increasing the convenience of getting vaccinated. The authors emphasize that combating misinformation about the COVID-19 vaccine is key to achieving these goals. These recommendations can inform the development of a toolkit of strategies to reach herd immunity and end the pandemic.

The association of fire or police first responder initiated interventions with out of hospital cardiac arrest survival.

OBJECTIVE: Fire and police first responders are often the first to arrive in medical emergencies and provide basic life support services until specialized personnel arrive. This study aims to evaluate rates of fire or police first responder-initiated cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use, as well as their associated impact on out-of-hospital cardiac arrest (OHCA) outcomes. METHODS: We completed a secondary data analysis of the MI-CARES registry from 2014 to 2019. We reported rates of CPR initiation and AED use by fire or police first responders. Multilevel modeling was utilized to evaluate the relationship between fire/police first responder-initiated interventions and outcomes of interest: ROSC upon emergency department arrival, survival to hospital discharge, and good neurologic outcome. RESULTS: Our cohort included 25,067 OHCA incidents. We found fire or police first responders initiated CPR in 31.8% of OHCA events and AED use in 6.1% of OHCA events. Likelihood of sustained ROSC on ED arrival after CPR initiated by a fire/police first responder was not statistically different as compared to EMS initiated CPR (aOR 1.01, CI 0.93-1.11). However, fire/police first responder interventions were associated with significantly higher odds of survival to hospital discharge and survival with good neurologic outcome (aOR 1.25, 95% CI 1.08-1.45 and aOR 1.40, 95% CI 1.18-1.65, respectively). Similar associations were see when examining fire or police initiated AED use. CONCLUSIONS: Fire or police first responders may be an underutilized, potentially powerful mechanism for improving OHCA survival. Future studies should investigate barriers and opportunities for increasing first responder interventions by these groups in OHCA.

Assessment of telecommunicator cardiopulmonary resuscitation performance during out-of-hospital cardiac arrest using a standardized tool for audio review.

OBJECTIVE: Telecommunicator cardiopulmonary resuscitation (T-CPR) is a critical component of optimized out-of-hospital cardiac arrest (OHCA) care. We assessed a pilot tool to capture American Heart Association (AHA) T-CPR measures and T-CPR coaching by telecommunicators using audio review. METHODS: Using a pilot tool, we conducted a retrospective review of 911 call audio from 65 emergency medical services-treated out-of-hospital cardiac arrest (OHCA) patients. Data collection included events (e.g., OHCA recognition), time intervals, and coaching quality measures. We calculated summary statistics for all performance and quality measures. RESULTS: Among 65 cases, the patients' mean age was 64.7 years (SD: 14.6) and 17 (26.2%) were women. Telecommunicator recognition occurred in 72% of cases (47/65). Among 18 non-recognized cases, reviewers determined 12 (66%) were not recognizable based on characteristics of the call. Median time-to-recognition was 76 seconds (n = 40; IQR:39-138), while median time-to-first-instructed-compression was 198 seconds (n = 26; IQR:149-233). In 36 cases where coaching was needed, coaching on compression-depth occurred in 27 (75%); -rate in 28 (78%); and chest recoil in 10 (28%) instances. In 30 cases where repositioning was needed, instruction to position the patient's body flat occurred in 18 (60%) instances, on-back in 22 (73%) instances, and on-ground in 22 (73%) instances. CONCLUSIONS: Successful collection of data to calculate AHA T-CPR measures using a pilot tool for audio review revealed performance near AHA benchmarks, although coaching instructions did not occur in many instances. Application of this standardized tool may aid in T-CPR quality review.