Headpulse measurement can reliably identify large-vessel occlusion stroke in prehospital suspected stroke patients: Results from the EPISODE-PS-COVID study.

BACKGROUND: Large-vessel occlusion (LVO) stroke represents one-third of acute ischemic stroke (AIS) in the United States but causes two-thirds of poststroke dependence and >90% of poststroke mortality. Prehospital LVO stroke detection permits efficient emergency medical systems (EMS) transport to an endovascular thrombectomy (EVT)-capable center. Our primary objective was to determine the feasibility of using a cranial accelerometry (CA) headset device for prehospital LVO stroke detection. Our secondary objective was development of an algorithm capable of distinguishing LVO stroke from other conditions. METHODS: We prospectively enrolled consecutive adult patients suspected of acute stroke from 11 study hospitals in four different U.S. geographical regions over a 21-month period. Patients received device placement by prehospital EMS personnel. Headset data were matched with clinical data following informed consent. LVO stroke diagnosis was determined by medical chart review. The device was trained using device data and Los Angeles Motor Scale (LAMS) examination components. A binary threshold was selected for comparison of device performance to LAMS scores. RESULTS: A total of 594 subjects were enrolled, including 183 subjects who received the second-generation device. Usable data were captured in 158 patients (86.3%). Study subjects were 53% female and 56% Black/African American, with median age 69 years. Twenty-six (16.4%) patients had LVO and 132 (83.6%) were not LVO (not-LVO AIS, 33; intracerebral hemorrhage, nine; stroke mimics, 90). COVID-19 testing and positivity rates (10.6%) were not different between groups. We found a sensitivity of 38.5% and specificity of 82.7% for LAMS ≥ 4 in detecting LVO stroke versus a sensitivity of 84.6% (p < 0.0015 for superiority) and specificity of 82.6% (p = 0.81 for superiority) for the device algorithm (CA + LAMS). CONCLUSIONS: Obtaining adequate recordings with a CA headset is highly feasible in the prehospital environment. Use of the device algorithm incorporating both CA and LAMS data for LVO detection resulted in significantly higher sensitivity without reduced specificity when compared to the use of LAMS alone.

Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach.

Random forests (RFs) are a widely used modelling tool capable of feature selection via a variable importance measure (VIM), however, a threshold is needed to control for false positives. In the absence of a good understanding of the characteristics of VIMs, many current approaches attempt to select features associated to the response by training multiple RFs to generate statistical power via a permutation null, by employing recursive feature elimination, or through a combination of both. However, for high-dimensional datasets these approaches become computationally infeasible. In this paper, we present RFlocalfdr, a statistical approach, built on the empirical Bayes argument of Efron, for thresholding mean decrease in impurity (MDI) importances. It identifies features significantly associated with the response while controlling the false positive rate. Using synthetic data and real-world data in health, we demonstrate that RFlocalfdr has equivalent accuracy to currently published approaches, while being orders of magnitude faster. We show that RFlocalfdr can successfully threshold a dataset of 106 datapoints, establishing its usability for large-scale datasets, like genomics. Furthermore, RFlocalfdr is compatible with any RF implementation that returns a VIM and counts, making it a versatile feature selection tool that reduces false discoveries.

Treatment and outcome variation in out-of-hospital cardiac arrest among four urban hospitals in Detroit.

AIMS: To determine whether out-of-hospital cardiac arrest (OHCA) post-resuscitation management and outcomes differ between four Detroit hospitals. INTRODUCTION: Significant variation exists in treatment/outcomes from OHCA. Disparities between hospitals serving a similar population is not well known. METHODS: Retrospective OHCA data was collected from the Detroit-Cardiac Arrest Registry (DCAR) between January 2014 to December 2019. Four hospitals were compared on two treatments (angiography, do not resuscitate (DNR)) and two outcomes (cerebral performance category (CPC) ≤ 2, in-hospital death). Models for death and CPC were tested with and without coronary angiography and DNR status. RESULTS: 999 patients at hospitals A - D differed (p < 0.05) before multivariable adjustment by age, race, witnessed arrest, dispatch-emergency department (ED) time, TTM, coronary angiography, DNR order, and in-hospital death. Rates of death and CPC ≤ 2 were worse in Hospital A (82.8%, 10%, respectively) compared to others (69.1%, 14.1%). After multivariable adjustment, Hospital A performed angiography less compared to B (OR = 0.17) and was more likely to initiate new DNR status than B (OR = 2.9), C (OR = 16.1), or D (OR = 3.6). CPC ≤ 2 were worse in Hospital A compared to B (OR = 0.27) and D (OR = 0.35). After sensitivity analysis, CPC ≤ 2 odds did not differ for A versus B (OR = 0.58, adjusted for angiography) or D (OR = 0.65, adjusted for DNR). Odds of death, despite angiography and DNR differences, were worse in Hospital A compared to B (OR = 1.87) and D (OR = 1.81). CONCLUSION: Differing rates of DNR and coronary angiography was associated with observed disparities in favorable neurologic outcome, but not death, between four Detroit hospitals.

Describing Prehospital Deliveries in the State of Michigan.

Introduction We observed clinically that prehospital deliveries locally appeared to have a high rate of complications and appeared associated with midwife deliveries. There is scant literature that addresses prehospital deliveries across a state. We set out to describe utilization, complications, and short-term outcomes of EMS-attended prehospital deliveries in Michigan in 2015, and to describe the relationship between prehospital delivery and socioeconomic status (SES). Methods We identified candidate cases for prehospital deliveries through the Michigan EMS Information System (MI-EMSIS). To assess the relationship of SES with the frequency of EMS delivery, we utilized the mean income of the patient residences' zip codes. Results We identified 223 EMS-attended deliveries from 1.6 million MI-EMSIS records. Most births were normal vaginal deliveries on the scene or en route to the hospital (92, 40.0%) or delivered prior to EMS arrival (58, 25.4%). Maternal or fetal complications were identified in 69 (32.0%) deliveries. We identified a few midwife-attended deliveries (31), but these had a high rate of complications (19, 61.3%). The frequency of prehospital delivery was inversely related to estimated patient income (Pearson=-0.85). Conclusions EMS deliveries were rare and most were normal vaginal deliveries, but almost a third had complications. Midwife and EMS-attended deliveries were rare, but when they occurred, had high rates of complications. Although an imperfect measure of patient SES, frequency of delivery was inversely related to patient income, and agencies that provide care in these communities should have focused training.

Strengthening Behavioral Health Services Through Partnerships and Data Integration.

Background There has been an increase in emergency medical service (EMS) use for behavioral health reasons. Detroit Wayne Integrated Health Network (DWIHN) and Detroit East Medical Control Authority (DEMCA) collaborated to study the rising number of behavioral health (mental disorders and substance use disorders) calls to EMS. Methodology To examine the trend, DWIHN and DEMCA partnered on a data-sharing project and identified that a high volume of EMS runs (responses by EMS as a result of an emergency call) involved individuals served by DWIHN. Results Over a period of 2.5 years, an average of one-third (33.73%) of EMS runs involved individuals who receive behavioral health services through DWIHN. Conclusions DWIHN used the data to create interventions and internal process improvements that can help coordinate medical and behavioral healthcare for individuals who have been using EMS increasingly. The findings were also used to develop prevention efforts to decrease the occurrence of such crises and to avoid unwarranted member involvement with the justice system. We suggest that other comparable organizations consider similar partnerships, especially given the increasingly high EMS and Emergency Department use for behavioral health reasons.

Factors Associated With Voluntary Refusal of Emergency Medical System Transport for Emergency Care in Detroit During the Early Phase of the COVID-19 Pandemic.

Importance: Emergency department (ED) and emergency medical services (EMS) volumes decreased during the COVID-19 pandemic, but the amount attributable to voluntary refusal vs effects of the pandemic and public health restrictions is unknown. Objective: To examine the factors associated with EMS refusal in relation to COVID-19 cases, public health interventions, EMS responses, and prehospital deaths. Design, Setting, and Participants: A retrospective cohort study was conducted in Detroit, Michigan, from March 1 to June 30, 2020. Emergency medical services responses geocoded to Census tracts were analyzed by individuals' age, sex, date, and community resilience using the Centers for Disease Control and Prevention Social Vulnerability Index. Response counts were adjusted with Poisson regression, and odds of refusals and deaths were adjusted by logistic regression. Exposures: A COVID-19 outbreak characterized by a peak in local COVID-19 incidence and the strictest stay-at-home orders to date, followed by a nadir in incidence and broadly lifted restrictions. Main Outcomes and Measures: Multivariable-adjusted difference in 2020 vs 2019 responses by incidence rate and refusals or deaths by odds. The Social Vulnerability Index was used to capture community social determinants of health as a risk factor for death or refusal. The index contains 4 domain subscores; possible overall score is 0 to 15, with higher scores indicating greater vulnerability. Results: A total of 80 487 EMS responses with intended ED transport, 2059 prehospital deaths, and 16 064 refusals (62 636 completed EMS to ED transports) from 334 Census tracts were noted during the study period. Of the cohort analyzed, 38 621 were women (48%); mean (SD) age was 49.0 (21.4) years, and mean (SD) Social Vulnerability Index score was 9.6 (1.6). Tracts with the highest per-population EMS transport refusal rates were characterized by higher unemployment, minority race/ethnicity, single-parent households, poverty, disability, lack of vehicle access, and overall Social Vulnerability Index score (9.6 vs 9.0, P = .002). At peak COVID-19 incidence and maximal stay-at-home orders, there were higher total responses (adjusted incident rate ratio [aIRR], 1.07; 1.03-1.12), odds of deaths (adjusted odds ratio [aOR], 1.60; 95% CI, 1.20-2.12), and refusals (aOR, 2.33; 95% CI, 2.09-2.60) but fewer completed ED transports (aIRR, 0.82; 95% CI, 0.78-0.86). With public health restrictions lifted and the nadir of COVID-19 cases, responses (aIRR, 1.01; 0.97-1.05) and deaths (aOR, 1.07; 95% CI, 0.81-1.41) returned to 2019 baselines, but differences in refusals (aOR, 1.27; 95% CI, 1.14-1.41) and completed transports (aIRR, 0.95; 95% CI, 0.90-0.99) remained. Multivariable-adjusted 2020 refusal was associated with female sex (aOR, 2.71; 95% CI, 2.43-3.03 in 2020 at the peak; aOR 1.47; 95% CI, 1.32-1.64 at the nadir). Conclusions and Relevance: In this cohort study, EMS transport refusals increased with the COVID-19 outbreak's peak and remained elevated despite receding public health restrictions, COVID-19 incidence, total EMS responses, and prehospital deaths. Voluntary refusal was associated with decreased EMS transports to EDs, disproportionately so among women and vulnerable communities.

Prehospital Tibial Intraosseous Drug Administration is Associated with Reduced Survival Following Out of Hospital Cardiac Arrest: A study for the CARES Surveillance Group.

BACKGROUND: Recent reports have questioned the efficacy of intraosseous (IO) drug administration for out-of-hospital cardiac arrest (OHCA) resuscitation. Our aim was to determine whether prehospital administration of resuscitative medications via the IO route was associated with lower rates of return of spontaneous circulation (ROSC) and survival to hospital discharge than peripheral intravenous (IV) infusion in the setting of OHCA. METHODS: We obtained data on all OHCA patients receiving prehospital IV or IO drug administration from the three most populous counties in Michigan over three years. Data was from the Michigan Cardiac Arrest Registry to Enhance Survival (CARES) database. The association between route of drug administration and outcomes was tested using a matched propensity score analysis. RESULTS: From a total of 10,626 OHCA patients, 6869 received parenteral drugs during their prehospital resuscitation (37.8% by IO) and were included in analysis. Unadjusted outcomes were lower in patients with IO vs. IV access: 18.3% vs. 23.8% for ROSC (p < 0.001), 3.2% vs. 7.6% for survival to hospital discharge (p < 0.001), and 2.0% vs. 5.8% for favorable neurological function (p < 0.001). After adjustment, IO route remained associated with lower odds of sustained ROSC (OR 0.72, 95% CI 0.63-0.81, p < 0.001), hospital survival (OR 0.48, 95% CI 0.37-0.62, p < 0.001), and favorable neurological outcomes (OR 0.42, 95% CI 0.30-0.57, p < 0.001). CONCLUSION: In this cohort of OHCA patients, the use of prehospital IO drug administration was associated with unfavorable clinical outcomes.

Effects of the COVID-19 pandemic on out-of-hospital cardiac arrest care in Detroit.

INTRODUCTION: In response to the COVID-19 pandemic in Detroit, an earlier termination of resuscitation protocol was initiated in March 2020. To characterize pre-hospital cardiac arrest careduring COVID-19 in Detroit, we analyzed out-of-hospital cardiac arrest (OHCA) rate of ROSC (return of spontaneous circulation) and patient characteristics before and during the COVID-19 pandemic. METHODS: OHCA data was analyzed between March 10th, 2020 - April 30th, 2020 and March 10th, 2019 - April 30th, 2019. ROSC, patient demographics, arrest location, initial rhythms, bystander CPR and field termination were compared before and during the pandemic. Descriptive statistics were utilized to compare arrest characteristics between years, and the odds of achieving vs. not achieving ROSC. 2020 vs. 2019 as a predictor for ROSC was assessed with logistic regression. RESULTS: 471 patients were included. Arrests increased to 291 during the pandemic vs. 180 in 2019 (62% increase). Age (mean difference + 6; 95% CI: +2.4 to +9.5), arrest location (nursing home OR = 2.42; 95% CI: 1.42-4.31; public place OR = 0.47; 95% CI: 0.25-0.88), BLS response (OR = 0.68; 95% CI: 0.47-0.99), and field termination of resuscitation (OR = 2.36; 95% CI: 1.36-4.07) differed significantly in 2020 compared to 2019. No significant difference was found in the confounder-adjusted odds of ROSC in 2020 vs 2019 (OR = 0.61; 95% CI: 0.34-1.11). CONCLUSION: OHCA increased by 62% during COVID-19 in Detroit, without a significant change in prehospital ROSC. The rate of ROSC remained similar despite the implementation of an early termination of resuscitation protocol in response to COVID-19.

A Pilot Study: Emergency Medical Services-Related Violence in the Out-of-Hospital Setting in Southeast Michigan.

BACKGROUND: Emergency Medical Services (EMS) personnel in the out-of-hospital setting continue to be at high risk for violence, in spite of continued research on a national scale. OBJECTIVE: Our aim was to determine the prevalence and type of violence perpetrated against Southeast Michigan EMS personnel, and characteristics of victims in the out-of-hospital setting. METHODS: EMS personnel from urban and suburban counties in Southeastern Michigan were surveyed online about their experience with violence, including description and outcomes, while working in the out-of-hospital setting within the previous 6 months. Gift card incentive and recruitment scripts were provided and read to participants. This was a pilot study that was limited to 150 respondents and ran for 3 months. Descriptive statistical analysis was done with an odds ratio, p value, and two-sample independent t-test analysis. RESULTS: There were 137 surveys respondents. Most respondents, 75 of 128 (58.6%) reported being a victim of violence within the previous 6 months. Perpetrators were primarily patients and occasionally family members. Substance abuse or mental health issues were frequently associated with violence. Although not common, women reported violence perpetrated by a coworker more often than men (odds ratio 5.17; 95% confidence interval 1.67-16.0). Only 55 of 117 respondents (47.0%) felt that the training did an adequate job protecting them from violence. CONCLUSIONS: More than one-half of responding EMS personnel experienced work-related violence within the previous 6 months in Southeast Michigan. This high rate of violence supports the need for additional research and policies that ensure the safety of EMS providers in this region.

Improving ED Emergency Severity Index Acuity Assignment Using Machine Learning and Clinical Natural Language Processing.

INTRODUCTION: Triage is critical to mitigating the effect of increased volume by determining patient acuity, need for resources, and establishing acuity-based patient prioritization. The purpose of this retrospective study was to determine whether historical EHR data can be used with clinical natural language processing and machine learning algorithms (KATE) to produce accurate ESI predictive models. METHODS: The KATE triage model was developed using 166,175 patient encounters from two participating hospitals. The model was tested against a random sample of encounters that were correctly assigned an acuity by study clinicians using the Emergency Severity Index (ESI) standard as a guide. RESULTS: At the study sites, KATE predicted accurate ESI acuity assignments 75.7% of the time compared with nurses (59.8%) and the average of individual study clinicians (75.3%). KATE's accuracy was 26.9% higher than the average nurse accuracy (P <.001). On the boundary between ESI 2 and ESI 3 acuity assignments, which relates to the risk of decompensation, KATE's accuracy was 93.2% higher, with 80% accuracy compared with triage nurses 41.4% accuracy (P <.001). DISCUSSION: KATE provides a triage acuity assignment more accurate than the triage nurses in this study sample. KATE operates independently of contextual factors, unaffected by the external pressures that can cause under triage and may mitigate biases that can negatively affect triage accuracy. Future research should focus on the impact of KATE providing feedback to triage nurses in real time, on mortality and morbidity, ED throughput, resource optimization, and nursing outcomes.

VariantSpark: Cloud-based machine learning for association study of complex phenotype and large-scale genomic data.

BACKGROUND: Many traits and diseases are thought to be driven by >1 gene (polygenic). Polygenic risk scores (PRS) hence expand on genome-wide association studies by taking multiple genes into account when risk models are built. However, PRS only considers the additive effect of individual genes but not epistatic interactions or the combination of individual and interacting drivers. While evidence of epistatic interactions ais found in small datasets, large datasets have not been processed yet owing to the high computational complexity of the search for epistatic interactions. FINDINGS: We have developed VariantSpark, a distributed machine learning framework able to perform association analysis for complex phenotypes that are polygenic and potentially involve a large number of epistatic interactions. Efficient multi-layer parallelization allows VariantSpark to scale to the whole genome of population-scale datasets with 100,000,000 genomic variants and 100,000 samples. CONCLUSIONS: Compared with traditional monogenic genome-wide association studies, VariantSpark better identifies genomic variants associated with complex phenotypes. VariantSpark is 3.6 times faster than ReForeSt and the only method able to scale to ultra-high-dimensional genomic data in a manageable time.

A 90-second magnetocardiogram using a novel analysis system to assess for coronary artery stenosis in Emergency department observation unit chest pain patients.

BACKGROUND: Magnetocardiography (MCG) has been shown to non-invasively detect coronary artery stenosis (CAS). Emergency department (ED) patients with possible acute coronary syndrome (ACS) are commonly placed in an observation unit (OU) for further evaluation. Our objective was to compare a novel MCG analysis system with stress testing (ST) and/or coronary angiography (CA) in non-high risk EDOU chest pain patients. METHODS: This is a prospective pilot study of non-high risk EDOU chest pain patients evaluated with ST and/or CA that underwent a resting 90-second MCG scan between August 2017 and February 2018. A positive MCG scan was defined as having current dipole deviations with dispersion or splitting during the repolarization phase. ST, CA and major adverse cardiac events (MACE) 30 days and 6 months post-discharge assessed. RESULTS: Of 101 study patients, mean age was 56 years and 53.6% were male. MCG scan sensitivity with 95% CI was 27.3% [7.3%, 60.7%], specificity 77.8% [67.5%, 85.6%], PPV 13.0% [3.4%, 34.7%] and NPV 89.7% [80.3%, 95.2%] compared to ST, and 33.3% [7.5%, 70.7%], 78.3% [68.4%, 86.2%], 13% [5.2%, 29.0%] and 92.3% [88.2%, 95.1%] respectively compared to ST and CA. No patients had positive ST, CA or MACE 30 days and 6 months post-discharge. CONCLUSION: This pilot study suggests a resting 90-second MCG scan shows promise in evaluating EDOU chest pain patients for CAS and warrants further study as an alternative testing modality to identify patients safe for discharge. Larger studies are needed to assess accuracy of MCG using this novel analysis system.

Disparity in Receipt and Utilization of Telecommunicator CPR Instruction.

Introduction: Telecommunicator Assisted Cardiopulmonary Resuscitation (T-CPR) is independently associated with improved survival and improved functional outcome after adult Out of Hospital Cardiac Arrest (OHCA). The objective of this study was to evaluate whether there are racial and socioeconomic disparities in the provision of T-CPR instruction and subsequent CPR performance. Methods: We performed a retrospective review of a convenience sample of EMS agencies throughout the United States that utilized the Cardiac Arrest Registry to Enhance Survival (CARES) dispatch registry during the period 1/2014-12/2017. Data were collected by dispatch agencies after review of 9-1-1 OHCA audio recordings. Elements related to dispatcher CPR instruction, barriers to bystander CPR (BCPR) performance, patient race (White, Black, Hispanic-Latino, or other) and Utstein data were captured from the CARES database. These data were merged with census tract data from incident locations. The effects of race and income (Socioeconomic status, SES) on outcome were analyzed using multilevel logistic regression. Results: A total of 3,807 cases were identified from 37 dispatch agencies in 6 states. The sample was predominantly White (57.5%) and male (64.9%) with an average age of 60.3 ± 19.9. In the adjusted analysis, there were no differences in the odds of receiving CPR instruction by race (black vs white), OR = 0.96 (95% CI. 0.70, 1.32) or for increased income, (OR = 1.00, 95% CI 0.99, 1.02). There was a significant difference in receipt of T-CPR instruction by patient age, OR = 0.99 (95% CI, 0.98, 0.99). Subsequent utilization of T-CPR instruction to perform BCPR was less likely for patients that had a lower income, OR = 1.03 (95% CI 1.01, 1.05). There was also a decreased rate of BCPR provision by patient age OR = 0.99 (95% CI, 0.99, 1.00), but there was no difference in rate of BCPR provision by race, OR = 0.86 (95% CI 0.61, 1.23). Conclusion: We identified differences in age but not race or SES in the provision of T-CPR instruction by dispatch centers. We also identified decreased CPR provision by age and income after receipt of T-CPR instructions. In this sample, we found no evidence of racial disparities in the provision of T-CPR instruction or subsequent provision of BCPR.

Improvement in Non-Traumatic, Out-Of-Hospital Cardiac Arrest Survival in Detroit From 2014 to 2016.

Background In 2002, the out-of-hospital cardiac arrest ( OHCA ) survival rate in Detroit was the lowest in the nation. Concerted efforts sought to improve the city's chain of survival with a focus on emergency medical services ( EMS ). This study assesses the impact on OHCA survival rates and describe factors associated with survival. Methods and Results Data for non-traumatic OHCA cases in Detroit from 2014 to 2016 were extracted from CARES (Cardiac Arrest Registry to Enhance Survival). Chi-squared tests, non-parametric tests, and a multivariable logistic regression analysis were employed to examine the associations between overall survival and its covariates. A total of 2359 non-traumatic OHCA cases were examined. The overall survival rate increased from 3.7% in 2014 to 5.4% in 2015, and 6.4% in 2016 ( P<0.01), reflecting a 73% improvement in survival over the 3-year period. EMS median on-scene time decreased over the study period, while the rate at which EMS initiated cardiopulmonary resuscitation and applied an automated external defibrillator (AED) greatly increased ( P<0.001). The factors significantly associated with survival were female sex (odds ratio=1.70, P<0.05), a public setting (odds ratio=2.31, P<0.01), an EMS witness (odds ratio=6.18, P<0.01), and the presence of an initial shockable rhythm (odds ratio=1.88, P<0.05). Conclusions From 2014 to 2016, the overall survival rate for OHCA patients in Detroit, MI significantly improved. Our results suggest that an improved chain of survival may explain this progress. This study is an example of how OHCA data analysis and EMS improvement can improve end OHCA outcomes in a resource-limited urban setting.

Prescribing naloxone for opioid overdose intervention.

To provide an update on prescription of naloxone as a harm-reduction strategy, PubMed was searched to identify publications relevant to naloxone prescribing for reversal of opioid overdose. Opportunities now exist to expand naloxone use, although evidence suggests these are often missed or underexploited. The US FDA has approved an intranasal naloxone spray and an autoinjector naloxone formulation for community use. Effective use of naloxone in community settings requires screening to identify patients at risk of opioid overdose, discussing naloxone use with patients and their relatives, and providing appropriate training. The tools exist to expand the use of naloxone more widely into the community, thereby creating an opportunity to reduce opioid overdose fatalities.

Pharmacokinetic properties of intranasal and injectable formulations of naloxone for community use: a systematic review.

AIM: To assess the pharmacokinetic properties of community-use formulations of naloxone for emergency treatment of opioid overdose. METHODS: Systematic literature review based on searches of established databases and congress archives. RESULTS: Seven studies met inclusion criteria: two of US FDA-approved intramuscular (im.)/subcutaneous (sc.) auto-injectors, one of an FDA-approved intranasal spray, two of unapproved intranasal kits (syringe with atomizer attachment) and two of intranasal products in development. CONCLUSION: The pharmacokinetics of im./sc. auto-injector 2 mg and approved intranasal spray (2 and 4 mg) demonstrated rapid uptake and naloxone exposure exceeding that of the historic benchmark (0.4 mg im.), indicating that naloxone exposure was adequate for reversal of opioid overdose.

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.

Policy, Practice, and Research Agenda for Emergency Medical Services Oversight: A Systematic Review and Environmental Scan.

Introduction In a 2015 report, the Institute of Medicine (IOM; Washington, DC USA), now the National Academy of Medicine (NAM; Washington, DC USA), stated that the field of Emergency Medical Services (EMS) exhibits signs of fragmentation; an absence of system-wide coordination and planning; and a lack of federal, state, and local accountability. The NAM recommended clarifying what roles the federal government, state governments, and local communities play in the oversight and evaluation of EMS system performance, and how they may better work together to improve care. OBJECTIVE: This systematic literature review and environmental scan addresses NAM's recommendations by answering two research questions: (1) what aspects of EMS systems are most measured in the peer-reviewed and grey literatures, and (2) what do these measures and studies suggest for high-quality EMS oversight? METHODS: To answer these questions, a systematic literature review was conducted in the PubMed (National Center for Biotechnology Information, National Institutes of Health; Bethesda, Maryland USA), Web of Science (Thomson Reuters; New York, New York USA), SCOPUS (Elsevier; Amsterdam, Netherlands), and EMBASE (Elsevier; Amsterdam, Netherlands) databases for peer-reviewed literature and for grey literature; targeted web searches of 10 EMS-related government agencies and professional organizations were performed. Inclusion criteria required peer-reviewed literature to be published between 1966-2016 and grey literature to be published between 1996-2016. A total of 1,476 peer-reviewed titles were reviewed, 76 were retrieved for full-text review, and 58 were retained and coded in the qualitative software Dedoose (Manhattan Beach, California USA) using a codebook of themes. Categorizations of measure type and level of application were assigned to the extracted data. Targeted websites were systematically reviewed and 115 relevant grey literature documents were retrieved. RESULTS: A total of 58 peer-reviewed articles met inclusion criteria; 46 included process, 36 outcomes, and 18 structural measures. Most studies applied quality measures at the personnel level (40), followed by the agency (28) and system of care (28), and few at the oversight level (5). Numerous grey literature articles provided principles for high-quality EMS oversight. CONCLUSIONS: Limited quality measurement at the oversight level is an important gap in the peer-reviewed literature. The grey literature is ahead in this realm and can guide the policy and research agenda for EMS oversight quality measurement. Taymour RK , Abir M , Chamberlin M , Dunne RB , Lowell M , Wahl K , Scott J . Policy, practice, and research agenda for Emergency Medical Services oversight: a systematic review and environmental scan. Prehosp Disaster Med. 2018;33(1):89-97.