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Introduction: Historically, prehospital care of trauma patients has included nearly universal use of a cervical collar (C-collar) and long spine board (LSB). Due to recent evidence demonstrating harm in using LSBs, implementation of new spinal motion restriction (SMR) protocols in the prehospital setting should reduce LSB use, even among patients with spinal cord injury. Our goal in this study was to evaluate the rates of and reasons for LSB use in high-risk patients—those with hospital-diagnosed spinal cord injury (SCI)—after statewide implementation of SMR protocols.Methods: Applying data from a state emergency medical services (EMS) registry to a state hospital discharge database, we identified cases in which a participating EMS agency provided care for a patient later diagnosed in the hospital with a SCI. Cases were then retrospectively reviewed to determine the prevalence of both LSB and C-collar use before and after agency adoption of a SMR protocol. We reviewed cases with LSB use after SMR protocol implementation to determine the motivations driving continued LSB use. We used simple descriptive statistics, odds ratios (OR) with 95% confidence intervals (CI) to describe the results.Results: We identified 52 EMS agencies in the state of Arizona with 417,979 encounters. There were 225 patients with SCI, of whom 74 were excluded. The LSBs were used in 52 pre-SMR (81%) and 49 post-SMR (56%) cases. The odds of LSB use after SMR protocol implementation was 70% lower than it had been before implementation (OR 0.297, 95% CI 0.139–0.643; P = 0.002). Use of a C-collar after SMR implementation was not significantly changed (OR 0.51, 95% CI 0.23–1.143; P = 0.10). In the 49 cases of LSB use after agency SMR implementation, the most common reasons for LSB placement were ease of lifting (63%), placement by non-transporting agency (18%), and extrication (16.3%). High suspicion of SCI was determined as the primary or secondary reason for not removing LSB after assessment in 63% of those with LSB placement, followed by multiple transfers required (20%), and critical illness (10%).Conclusion: Implementation of selective spinal motion restriction protocols was associated with a statistically significant decrease in the utilization of long spine boards among prehospital patients with acute traumatic spinal cord injury.

Background: Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers.Methods: This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality.Results: The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019–September 10, 2020) and the post-implementation period (September 11, 2020–December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45–2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after (P = 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as “good.”Conclusion: In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as “good.”

Medication automatic dispensing systems (ADS) have been implemented in many settings, including fire-based EMS stations. The aim of this study was to evaluate the impact of in-station ADSs on controlled substance administration rates and EMS response intervals. This study was a retrospective review of data from a single fire-based EMS agency. Medication administration rates and EMS response intervals were compared before ADS implementation (P1; 6/1/15 to 5/31/16) and after ADS implementation (P3; 6/1/17-5/31/19). Cases with missing data and during a one-year implementation period were excluded. 4045 cases were identified in P1 and 8168 in P3. The odds of morphine or versed administration increased following ADS implementation: OR = 1.77 (95% CI: 1.53, 2.03) and OR = 1.53 (95%CI: 1.18, 2.00) respectively. There were statistically, but likely not operationally significant increases in median response interval and transport interval from P1 to P3 of 14 seconds, (p < 0.001) and 39 seconds (p < 0.001) respectively. Time at hospital for all calls decreased by more than 11 minutes for all transports, from a median of 34 minutes (IQR; 23.7, 45.5) to 22.7 minutes (IQR:18.5, 27.6) in P3, p < 0.001 and by 27.9 minutes for calls in which a controlled substance was given: P1 = 50.6 minutes (IQR: 34.6, 63.2), P3 = 22.7 minutes (IQR: 18.3, 27.4), p < 0.001. In this system, medication ADS implementation was associated with an increase in the rates of controlled substance administration and a decrease in the time units were at hospitals. [ABSTRACT FROM AUTHOR]

Hypotension has a powerful effect on patient outcome after traumatic brain injury (TBI). The relative impact of hypotension occurring in the field versus during early hospital resuscitation is unknown. We evaluated the association between hypotension and mortality and non-mortality outcomes in four cohorts defined by where the hypotension occurred [neither prehospital nor hospital, prehospital only, hospital only, both prehospital and hospital]. Subjects ≥10 years with major TBI were included. Standard statistics were used for unadjusted analyses. We used logistic regression, controlling for significant confounders, to determine the adjusted odds (aOR) for outcomes in each of the three cohorts. Included were 12,582 subjects (69.8% male; median age 44 (IQR 26–61). Mortality by hypotension status: No hypotension: 9.2% (95%CI: 8.7–9.8%); EMS hypotension only: 27.8% (24.6–31.2%); hospital hypotension only: 45.6% (39.1–52.1%); combined EMS/hospital hypotension 57.6% (50.0–65.0%); (p < 0.0001). The aOR for death reflected the same progression: 1.0 (reference-no hypotension), 1.8 (1.39–2.33), 2.61 (1.73–3.94), and 4.36 (2.78–6.84), respectively. The proportion of subjects having hospital hypotension was 19.0% (16.5–21.7%) in those with EMS hypotension compared to 2.0% (1.8–2.3%) for those without (p < 0.0001). Additionally, the proportion of patients with TC hypotension was increased even with EMS "near hypotension" up to an SBP of 120 mmHg [(aOR 3.78 (2.97, 4.82)]. While patients with hypotension in the field or on arrival at the trauma center had markedly increased risk of death compared to those with no hypotension, those with prehospital hypotension that was not resolved before hospital arrival had, by far, the highest odds of death. Furthermore, TBI patients who had prehospital hypotension were five times more likely to arrive hypotensive at the trauma center than those who did not. Finally, even "near-hypotension" in the field was strongly and independently associated the risk of a hypotensive hospital arrival (<90 mmHg). These findings are supportive of the prehospital guidelines that recommend aggressive prevention and treatment of hypotension in major TBI. [ABSTRACT FROM AUTHOR]

Background: Research networks need access to EMS data to conduct pilot studies and determine feasibility of prospective studies. Combining data across EMS agencies is complicated and costly. Leveraging the National EMS Information System (NEMSIS) to extract select agencies' data may be an efficient and cost-effective method of providing network-level data. Objective: Describe the process of creating a Pediatric Emergency Care Applied Research Network (PECARN) specific NEMSIS data set and determine if these data were nationally representative. Methods: We established data use agreements (DUAs) with EMS agencies participating in PECARN to allow for agency identification through NEMSIS. Using 2019 NEMSIS version 3.4.0 data for EMS events with patients 18 years old and younger, we compared PECARN NEMSIS data to national NEMSIS data. Analyzed variables were selected for their ability to characterize events. No statistical analyses were utilized due to the large sample, instead, differences of ±5% were deemed clinically meaningful. Results: DUAs were established for 19 EMS agencies, creating a PECARN data set with 305,188 EMS activations of which 17,478 (5.7%) were pediatric. Of the pediatric activations, 17,140 (98.1%) were initiated through 9-1-1 and 9,487 (55.4%) resulted in transport by the documenting agency. The national data included 36,288,405 EMS activations of which 2,152,849 (5.9%) were pediatric. Of the pediatric activations 1,704,141 (79.2%) were initiated through 9-1-1 and 1,055,504 (61.9%) were transported by the documenting agency. Age and gender distributions were similar between the two groups, but the PECARN-specific data under-represents Black and Latinx patients. Comparison of EMS provider primary impressions revealed that three of the five most common were similar with injury being the most prevalent for both data sets along with mental/behavioral health and seizure. Conclusion: We demonstrated that NEMSIS can be leveraged to create network specific data sets. PECARN's EMS data were similar to the national data, though racial/ethnic minorities and some primary impressions may be under-represented. Additionally, more EMS activations in PECARN study areas originated through 9-1-1 but fewer were transported by the documenting agency. This is likely related to the type of participating agencies, their ALS response level, and the diversity of the communities they serve. [ABSTRACT FROM AUTHOR]

Medical Amnesty/Good Samaritan (MAGS) policies, which eliminate legal charges when students call 9-1-1 for excessive drinking, have been implemented with the goal of reducing barriers to accessing Emergency Medical Services (EMS). This study investigated the impact of MAGS policy implementation on EMS calls on campus and if that EMS call volume could be used to measure policy success. The aim of this study was to compare the prevalence of alcohol-related EMS calls before and after MAGS implementation at a single large public university campus. Methods: A retrospective review of all 9-1-1 calls to on-campus locations was conducted using patient care records (PCRs) from a collegiate EMS agency responding exclusively to on-campus 9-1-1 calls. Calls were excluded if the PCR was marked "incomplete", were outside the 2015 CBEMS response zone boundaries, or if patient age was <15 or >25 years old to ensure analysis was targeting the on-campus student population. The incidence of alcohol-related 9-1-1 calls was compared between one academic year (AY) prior to (pre-MAGS, AY2015) and two years after MAGS implementation (post-MAGS, AY2016/17). An alcohol-related 9-1-1 call was defined as an EMS provider primary or secondary impression of "Alcohol, Alcohol Intoxication, or Alcohol Ingestion" or a call in which the patient explicitly admitted to alcohol use. Relative risk (RR) with 95% confidence intervals (CI) were used to describe the results. Results: Over the three-year study period, the collegiate EMS agency responded to 2440 calls of which 1283 met inclusion criteria. 58 calls were excluded for being incomplete, 227 were outside the original boundaries and 872 were outside the defined age range. Of those calls, 351 were pre-MAGS and 932 were post-MAGS. Of the total 9-1-1 calls, 127 (36.2%) were related to alcohol pre-MAGS and 327 (35.1%) were related to alcohol post-MAGS policy implementation. The relative risk of a 9-1-1 call being made for alcohol-related issues after MAGS implementation was RR = 0.97 (95% CI 0.83-1.14; P = 0.713). Conclusion: Implementation of a MAGS policy was not associated with a significant change in the number of alcohol-related EMS responses. It is unclear if these results reflect ineffective policy implementation or a general reduction in on-campus alcohol consumption. However, using EMS call volume as a marker for policy success and quality improvement offers an innovative tool through which EMS agencies can provide valuable feedback to other system stakeholders. [ABSTRACT FROM AUTHOR]