Detect, Dispatch, Drive: A Study of ShotSpotter Acoustic Technology and Transport of Gunshot Victims.

INTRODUCTION: Our previous work demonstrated that use of ShotSpotter (SS), a gunfire detection system, and use of police department (PD) transport decreased response and transport time for gunshot wound (GSW) victims versus events with non-ShotSpotter (NSS). The purpose of this study was to evaluate transport trends and how they are linked to SS in the period of 2016-2021 in Camden, NJ. METHODS: This was a single-center, retrospective observational study. Demographics, response time, transport time, and clinical data were collected. Independent t-test, Mann-Whitney U test, chi-squared test, and linear regression to correct for transport time and method of transport were used to compare outcomes (P < 0.05). RESULTS: A total of 267 GSWs were included: 77 emergency medical technicians (EMS)-SS, 41 EMS-NSS, 116 PD-SS, and 33 PD-NSS. When comparing response from 2016 to 2021, PD improved from 4 to 2 min (P = 0.001). EMS improved from 6.4 min (EMS-NSS) and 4.5 min (EMS-SS) to 5 min (EMS- NSS) and 4 min (EMS-SS) (P = 0.281). In addition, PD transport times, 5 min (SS) and 4 min (NSS), were faster than EMS, 9 min (SS and NSS) (P < 0.001). Overall PD transport volume increased with a peak in 2020 (68.3%). There was also an increase in PD-NSS transport 4% to 37.9% (P < 0.001). EMS-SS transport decreased from 54.7% to 6.9% (P < 0.001). CONCLUSION: The presence of SS technology in a small urban setting continues to be associated with a higher rate of PD transport of GSW victims. The critical time of dispatch and transport for both PD and EMS has shown durable improvement.

Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques.

BACKGROUND: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for improved patient care and resource optimisation. This study's objective was to accurately predict cases that necessitated transportation versus those that did not, using ML techniques, thereby facilitating efficient resource allocation. METHODS: ML algorithms were utilised to predict patient transport decisions in a Middle Eastern national pre-hospital emergency medical care provider. A comprehensive dataset comprising 93,712 emergency calls from the 999-call centre was analysed using R programming language. Demographic and clinical variables were incorporated to enhance predictive accuracy. Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost) algorithms were trained and validated. RESULTS: All the trained algorithm models, particularly XGBoost (Accuracy = 83.1%), correctly predicted patients' transportation decisions. Further, they indicated statistically significant patterns that could be leveraged for targeted resource deployment. Moreover, the specificity rates were high; 97.96% in RF and 95.39% in XGBoost, minimising the incidence of incorrectly identified "Transported" cases (False Positive). CONCLUSION: The study identified the transformative potential of ML algorithms in enhancing the quality of pre-hospital care in Qatar. The high predictive accuracy of the employed models suggested actionable avenues for day and time-specific resource planning and patient triaging, thereby having potential to contribute to pre-hospital quality, safety, and value improvement. These findings pave the way for more nuanced, data-driven quality improvement interventions with significant implications for future operational strategies.

Safety and feasibility of in-hospital autonomous transportation using a driverless mobility for patients with musculoskeletal disorders: preliminary clinical study to achieve mobility as a service in medical care.

BACKGROUND: Recent advancements in and the proliferation of autonomous mobility technology, such as intelligent wheelchairs, have made it possible to provide mobility services for patients with reduced mobility due to musculoskeletal disorders. In the present study, we conducted a preliminary clinical study to assess the safety and feasibility of in-hospital autonomous transportation using a driverless mobility (wheelchair) for patients with musculoskeletal disorders. METHODS: From January to February 2022, 51 patients with musculoskeletal disorders exhibiting gait disturbance who presented to our institution were included in the present study. Driverless mobility rides were conducted over a straight-line distance of 100 m from the orthopaedic outpatient reception to the payment counter after the outpatient consultation. We assessed the quality of life using an EQ-5D-5 L index and pain using a VAS score before riding the mobility to investigate the patient's condition. After the ride, a questionnaire survey was conducted to assess patient satisfaction on a 5-point scale. In addition, adverse events during the mobility ride were investigated. RESULTS: Overall satisfaction levels showed that 44 out of 51 (86%) patients rated the level as 3 or higher. There were no significant differences in the level of satisfaction based on the cause of disorders or EQ-5D-5 L Index. Among 19 patients who rated the level of satisfaction as 2-3, the ratio of postoperative patients and those with pain tended to be higher (p < 0.05). While 26 of 51 (51%) patients reported moments of feeling unsafe during the mobility ride, no actual adverse events, such as collisions, were observed. CONCLUSIONS: An in-hospital autonomous transportation service using a driverless mobility for patients with musculoskeletal disorders demonstrated high satisfaction levels and was safe with no severe adverse events observed. The expansion of autonomous mobility deployment is expected to achieve mobility as a service in medical care.

Survival After Intra-Arrest Transport vs On-Scene Cardiopulmonary Resuscitation in Children.

Importance: For pediatric out-of-hospital cardiac arrest (OHCA), emergency medical services (EMS) may elect to transport to the hospital during active cardiopulmonary resuscitation (CPR) (ie, intra-arrest transport) or to continue on-scene CPR for the entirety of the resuscitative effort. The comparative effectiveness of these strategies is unclear. Objective: To evaluate the association between intra-arrest transport compared with continued on-scene CPR and survival after pediatric OHCA, and to determine whether this association differs based on the timing of intra-arrest transport. Design, Setting, and Participants: This cohort study included pediatric patients aged younger than 18 years with EMS-treated OHCA between December 1, 2005 and June 30, 2015. Data were collected from the Resuscitation Outcomes Consortium Epidemiologic Registry, a prospective 10-site OHCA registry in the US and Canada. Data analysis was performed from May 2022 to February 2024. Exposures: Intra-arrest transport, defined as an initiation of transport prior to the return of spontaneous circulation, and the interval between EMS arrival and intra-arrest transport. Main Outcomes and Measures: The primary outcome was survival to hospital discharge. Patients who underwent intra-arrest transport at any given minute after EMS arrival were compared with patients who were at risk of undergoing intra-arrest transport within the same minute using time-dependent propensity scores calculated from patient demographics, arrest characteristics, and EMS interventions. We examined subgroups based on age (<1 year vs ≥1 year). Results: Of 2854 eligible pediatric patients (median [IQR] age, 1 [0-9] years); 1691 males [59.3%]) who experienced OHCA between December 2005 and June 2015, 1892 children (66.3%) were treated with intra-arrest transport and 962 children (33.7%) received continued on-scene CPR. The median (IQR) time between EMS arrival and intra-arrest transport was 15 (9-22) minutes. In the propensity score-matched cohort (3680 matched cases), there was no significant difference in survival to hospital discharge between the intra-arrest transport group and the continued on-scene CPR group (87 of 1840 patients [4.7%] vs 95 of 1840 patients [5.2%]; risk ratio [RR], 0.81 [95% CI, 0.59-1.10]). Survival to hospital discharge was not modified by the timing of intra-arrest transport (P value for the interaction between intra-arrest transport and time to matching = .10). Among patients aged younger than 1 year, intra-arrest transport was associated with lower survival to hospital discharge (RR, 0.52; 95% CI, 0.33-0.83) but there was no association for children aged 1 year or older (RR, 1.22; 95% CI, 0.77-1.93). Conclusions and Relevance: In this cohort study of a North American OHCA registry, intra-arrest transport compared with continued on-scene CPR was not associated with survival to hospital discharge among children with OHCA. However, intra-arrest transport was associated with a lower likelihood of survival to hospital discharge among children aged younger than 1 year.

Addressing transportation barriers in oncology: existing programs and new solutions.

Transportation is an underrecognized, but modifiable barrier to accessing cancer care, especially for clinical trials. Clinicians, insurers, and health systems can screen patients for transportation needs and link them to transportation. Direct transportation services (i.e., ride-sharing, insurance-provided transportation) have high rates of patient satisfaction and visit completion. Patient financial reimbursements provide necessary funds to counteract the effects of transportation barriers, which can lead to higher trial enrollment, especially for low socioeconomic status and racially and ethnically diverse patients. Expanding transportation interventions to more cancer patients, and addressing knowledge, service, and system gaps, can help more patients access needed cancer care.

Characteristics and special challenges of neonatal emergency transports.

BACKGROUND: As a rule, newborns do not require special medical care. If unexpected complications occur peripartum or postpartum, support from and transport to specialised neonatal hospitals might be needed. METHODS: In a retrospective study, all transport protocols of a supraregional paediatric­neonatological maximum care hospital in northwestern Germany from 01.10.2018 through 30.09.2021 were analysed. The particular focus was on transports of newborns (<7 days) and the leading symptoms that led to contact. RESULTS: A total of 299 patients were included (average age of 15.4 h, 61.6 % males). The average complete transport time was approximately 2 h. Five leading neonatal diseases (respiratory, infectious, asphyxia, cardiac, haematological) were found to represent the causes of >80 % of transfers. Respiratory adaptation disorders are the main reason for transferring a newborn to a centre, whereas asphyxia is the most severe condition. The various symptoms differ in their time of onset, a factor which must be taken into account in practice. Differences were also found between different types of hospitals: while a large proportion of transports were carried out from maternity hospitals (80.6 %), children transported from children's hospitals were generally more severely ill. DISCUSSION: Transfers of neonates, especially from maternity hospitals to neonatal intensive care units due to special neonatal diseases, are not rare. In times of increasingly scarce resources, the effective care of sick or at-risk neonates is essential. For low-population regions, this means professional cooperation between maximum care providers and smaller children's hospitals and maternity-only hospitals.

Simulated impact of lift car sizes on transport of critical care patients: Informing the design of the New Dunedin Hospital.

The New Dunedin Hospital (NDH) is New Zealand's largest health infrastructure build. Here we describe the use of a simple simulation-based hospital design exercise to inform the appropriate lift car size for critical care intrahospital transfers in the NDH. The intensive care unit (ICU) user group tested a series of entries and exits of simulated complex patient transfers in mocked-up lift cars of three different dimensions. Time taken to enter and exit the lift were recorded, reflecting the relative difficulty of transfer. Qualitative assessments were made of ease and perceived safety of transfer. These simulations demonstrated that recommended standard patient lift cars, often proposed for critical care transfers, could not physically accommodate all complex ICU transfers. A size of 1800 mm wide (W) × 3000 mm deep (D) had the physical capacity to permit all simulated ICU transfers, but with staff and patient risk. As lift car size increased to 2200 mm W × 3300 mm D, the simulation demonstrated reduced transfer times, smoother entry and exit, improved access to the head end of the bed, and reduced risk of disconnection or dislodgement of lines and airway support. The resultant clinical recommendations for the dimensions of a critical care lift car surpass current international health architecture guidelines and may help to inform future updates. The NDH project benefited from an objective assessment of risk, in language familiar to clinicians and healthcare architects. The outcome was an upsizing of the two ICU-capable lifts.

Accuracy of Prehospital Services' Estimated Time to Arrival for Ground Transport to the Emergency Department.

BACKGROUND: Emergency medical services (EMS) transporting patients to the emergency department (ED) typically call ahead to provide an estimated time to arrival (ETA). Accurate ETA facilitates ED preparation and resource allotment in anticipation of patient arrival. OBJECTIVE: The study purposed to determine the accuracy of ETA provided by EMS ground units. METHODS: We performed a single-center, prospective, observational study of ED patients arriving via EMS ground transport. The primary outcome was the time difference between EMS-reported ETA and actual time of arrival (ATA). The difference between ATA and ETA was compared using the two-sided Wilcoxon Signed-Rank Test. Subgroup analysis was performed to evaluate ETA accuracy for specific types of transports and assess variability by month and time of day. RESULTS: We included 1176 patient transports in the final analysis. The overall median difference ATA-ETA was 3 min (interquartile range 1-5 min) with a range of -26-48 minutes (Z = -25.139, p < 0.001). EMS underestimated ETA in 961 cases (81.7%), and 94 ETAs (8.0%) were accurate to within 1 min. The largest difference between ATA and ETA occurred between 07:00-07:59 and 16:00-16:59 (5 min, interquartile range 2-7). CONCLUSION: Our data demonstrate that prehospital providers underestimate time to ED arrival in most ground transports; however, the median difference between estimated and actual time to arrival is small.

Can critical care transport be safely reduced in children intubated during emergency management of status epilepticus in the United Kingdom: a national audit with case-control analysis.

OBJECTIVE: This study describes the baseline clinical characteristics, predictors of successful extubation at referring hospitals and short-term outcomes of children intubated for status epilepticus and referred to United Kingdom (UK) paediatric critical care transport teams (PCCTs). DESIGN: Multicentre audit with case-control analysis, conducted between 1 September 2018 and 1 September 2020. SETTING: This study involved 10 UK PCCTs. PATIENTS: Children over 1 month of age intubated during emergency management for status epilepticus (SE), referred to UK PCCTs. Patients with trauma, requiring time-critical neurosurgical intervention or those with a tracheostomy were excluded. INTERVENTIONS: No interventions were implemented. MEASUREMENTS AND MAIN RESULTS: Out of the 1622 referrals for SE, 1136 (70%) were intubated at referral. The median age was 3 years (IQR 1.25-6.54 years). Among the intubated children, 396 (34.8%) were extubated locally by the referring team, with 19 (4.8%) requiring reintubation. Therefore, the overall rate of successful extubation was 33% (377/1136). There was significant variation between PCCTs, with local extubation rates ranging from 2% to 74%. Multivariable analyses showed region/PCCT, contributing diagnosis, acute changes on CT, preceding encephalopathy and type of continuous sedation (midazolam) used postintubation were significantly associated with transfer to a critical care unit. CONCLUSION: This study highlights wide regional variation in early extubation practices. Regions with high successful extubation rates have established extubation guidelines from PCCTs. Successful extubation represents critical care transports that have been avoided.

Enhancing Patient Safety in Prehospital Environment: Analyzing Patient Perspectives on Non-Transport Decisions With Natural Language Processing and Machine Learning.

OBJECTIVE: This research explored the experiences and perspectives of patients declining hospital transportation after receiving prehospital emergency care using advanced computational techniques. METHOD: Between 15th June and 1st August 2023, 210 patients in Qatar, treated by Hamad Medical Corporation Ambulance Service (HMCAS) but refusing transportation to hospital, were interviewed. Key outcome variables stratified by demographics included "reasons for refusing transport," "satisfaction with HMCAS service," and "postrefusal actions." Responses underwent sentiment analysis and topic modeling using latent Dirichlet allocation. Machine learning models, such as Naïve Bayes, K-nearest neighboring, random forest, and support vector machine, were used to predict patients' subsequent actions. RESULTS: Participants had an average age of 38.61 ± 19.91 years. The chief complaints were primarily chest and abdominal pains (18.49%; n = 39). Sentiment Analysis revealed a generally favorable perception of HMCAS-provided service. Latent Dirichlet allocation identified two main topics pertaining to refusal reasons and service satisfaction. Naïve Bayes and support vector machine algorithms were most effective in predicting postrefusal actions with an accuracy rate of 81.58%. CONCLUSIONS: This study highlighted the utility of Natural Language Processing and ML in enhancing our understanding of patient behaviors and sentiments in prehospital settings. These advanced computational methodologies allowed for a nuanced exploration of patient demographics and sentiments, providing insights for Quality Improvement initiatives. The study also advocates for continuously integrating automated feedback mechanisms to improve patient-centered care in the prehospital context. Continuous integration of automated feedback systems is recommended to improve prehospital patient-centered care.

Which Method of Transportation Is Associated With Better Outcomes for Patients With Firearm Injuries to the Head and Neck?

BACKGROUND: In firearm injuries (FI), rapid transportation is important for survival. Information regarding different methods of transportation for head and neck FI is limited. PURPOSE: The purpose of the study was to measure the association between method of transportation and the need for tracheostomy and/or intensive care unit (ICU). STUDY DESIGN, SETTING, SAMPLE: This retrospective cross-sectional study reviewed patients in Trauma Registry at Grady Memorial Hospital (GMH) in Atlanta, Georgia, from January 2016 to June 2021. Patients ≥18 years old who sustained FI to the head and neck and were transported via ground emergency medical services (GEMS) or helicopter emergency medical services (HEMS) were included. Patients who arrived at the hospital by foot, private vehicle, or transported from a different hospital were excluded. PREDICTOR/EXPOSURE/INDEPENDENT VARIABLE: The primary predictor variable was method of transportation (GEMS: ambulance transportation to GMH vs HEMS: helicopter transportation to GMH helipad). MAIN OUTCOME VARIABLE(S): The primary outcome variables were tracheostomy (yes/no) and ICU admission (yes/no). COVARIATES: Patient, injury, and hospital-related covariates were collected. ANALYSES: Univariate analysis, χ2 test for categorical variables, and independent t test for continuous variables were calculated. Statistical significance was P < .05. RESULTS: Of total, 609 patients met the inclusion criteria. There were 560 patients (483 males) with a mean age of 33.6 years old (range, 18 to 90) transported by GEMS. There were 49 patients (40 males) with a mean age of 44 years old (range, 18 to 82) transported by HEMS. Patients transported by HEMS were statistically more likely to have longer transportation time in minutes [13.2 (range, 5 to 132) versus 24.2 (range, 9 to 46), P= <.001], lower Glasgow Coma Scale score [9.9 (range, 3 to 15) versus 6.3 (range, 3 to 15); P= <.001], higher Injury Severity Score [19.3 (range, 3.7 to 98) versus 24.2 (range, 10.3 to 98); P = .007], require transfusion [195 (34.8%); versus 26 (53.1%); P = .013], tracheostomy [46(8.2%) versus 13 (26.5%); P = <.001], and/or admitted to ICU [169, 30.2% versus 24 (49%); P = .007]. CONCLUSION AND RELEVANCE: HEMS was positively associated with more tracheostomy and/or ICU admission. Additionally, patients transported by HEMS experienced longer transportation time and severe injuries. HEMS triage criteria specific for FI to the head and neck should be developed.

Please get me out of here: The difficult decision making in fit-to-fly assessments for international fixed-wing air ambulance operations.

INTRODUCTION: With international travel for leisure and business almost back to pre-pandemic levels, demand for repatriation due to illness and injury abroad is increasing [1,2]. In any repatriation, there is considerable pressure on all involved to organize a rapid transport back home. Delay in such action may be perceived by the patient, relatives, and the public as an attempt by the underwriter to hold off on an expensive air ambulance mission [3-5]. METHODS: Review of the available literature and analysis of assistance and air ambulance Companies' infrastructure and processes to identify risk and benefit of executing or delaying aeromedical transport for international travellers. KEY FINDINGS: While patients of almost any severity can be safely transported over great distances in modern air ambulance aircraft, immediate transport is not always in the patient's best interest. Each call for assistance requires a complex and dynamic risk-benefit analysis with multiple stakeholders involved to achieve an optimized outcome. Opportunities for risk mitigation within the assistance team include active case management with clearly assigned ownership, as well as medical and logistical experience with knowledge on local treatment opportunities and limitations. On the air ambulance side, modern equipment, experience, standards and procedures as well as accreditation can reduce risk. CONCLUSIONS: Each patient evaluation remains a highly individual risk-benefit assessment. Optimal outcomes require a clear understanding of responsibilities, flawless communication and significant expertise among the key decision-makers. Negative outcomes are mostly associated with insufficient information, communication, inadequate experience or a lack of ownership/assigned responsibility.

Intensivist-Led Transportation of Patients on Extracorporeal Membrane Oxygenation: A Single Center Experience.

This study evaluated the suitability, feasibility, safety, and outcomes of transport of the ECMO-dependent patient (EDP) by EDP transport team (EDPTT) in China. Eighty-two EDPs (forty-one cases on VV ECMO and forty-one cases on VA ECMO) received transport between June 2018 and June 2021 and were retrospectively analyzed. ECMO circulation was performed by the outlying hospital, mainly using percutaneous ECMO cannulation. The EDPTT consists of three intensive therapists, one of whom serves as a team leader, and one intensive care unit nurse. Of these, 81 (98.8%) patients were transferred by ambulance, no deaths occurred during transport, the EDP-related complications were 19% (n = 16); bleeding at the cannula site (n = 7, 8.5%) was the most prominent; equipment-related problems accounted for 14.6% of the problems requiring urgent intervention, with hand cranking being the most common (9.7%). The survival rate during transport was 100%, with 36 (43.9%) patients surviving to discharge. The ECMO weaning rate was 61% for VV ECMO and 63.7% for VA ECMO. The results demonstrated the suitability, feasibility, and safety of transporting EDP in a team led by an intensivist, with few complications and no deaths during transport. This may be the recommended staffing model for EDP transport in developing countries.

Shift in Prehospital Mode of Transportation for Trauma Patients During the COVID-19 Pandemic.

INTRODUCTION: Since the start of the COVID-19 pandemic, we experienced alterations to modes of transportation among trauma patients suffering penetrating injuries. Historically, a small percentage of our penetrating trauma patients use private means of prehospital transportation. Our hypothesis was that the use of private transportation among trauma patients increased during the COVID-19 pandemic and was associated with better outcomes. METHODS: We retrospectively reviewed all adult trauma patients (January 1, 2017 to March 19, 2021), using the date of the shelter-in-place ordinance (March 19, 2020) to separate trauma patients into prepandemic and pandemic patient groups. Patient demographics, mechanism of injury, mode of prehospital transportation, and variables such as initial Injury Severity Score, Intensive Care Unit (ICU) admission, ICU length of stay, mechanical ventilator days, and mortality were recorded. RESULTS: We identified 11,919 adult trauma patients, 9017 (75.7%) in the prepandemic group and 2902 (24.3%) in the pandemic group. The number of patients using private prehospital transportation also increased (from 2.4% to 6.7%, P < 0.001). Between the prepandemic and pandemic private transportation cohorts, there were reductions in mean Injury Severity Score (from 8.1 ± 10.4 to 5.3 ± 6.6: P = 0.02), ICU admission rates (from 15% to 2.4%: P < 0.001), and hospital length of stay (from 4.0 ± 5.3 to 2.3 ± 1.9: P = 0.02). However, there was no difference in mortality (4.1% and 2.0%, P = 0.221). CONCLUSIONS: We found that there was a significant shift in prehospital transportation among trauma patients toward private transportation after the shelter-in-place order. However, this did not coincide with a change in mortality despite a downward trend. This phenomenon could help direct future policy and protocols in trauma systems when battling major public health emergencies.

[Interhospital critical care transport]. / Interhospitaler Intensivtransport.

Critically ill patients in need of specialized diagnostic or therapeutic procedures, but are being cared for in a hospital without such equipment, have to be transferred to appropriate centers without discontinuation of current critical care (interhospital critical care transfer). These transfers are resource intensive, challenging, and require high logistical effort, which must be managed by a specialized and highly trained team, predeployment planning and efficient crew-resource management strategies. If planned adequately, interhospital critical care transfers can be performed safely without frequent adverse events. Beside routine interhospital critical care transfers, there are special missions (e.g., for patients in quarantine or supported by extracorporeal organ support) that might require adaption of the team composition or standard equipment. This article describes interhospital critical care transport missions including their different phases and special circumstances.

Coming in hot: Police transport and prehospital time after firearm injury.

BACKGROUND: In Philadelphia, PA, police and emergency medical services (EMS) transport patients with firearm injuries. Prior studies evaluating this system have lacked reliable prehospital times. By linking police and hospital data sets, we established a complete timeline from firearm injury to outcome. We hypothesized that police-transported patients have shorter prehospital times that, in turn, are associated with improved survival and increased unexpected survivorship at 6 and 24 hours. METHODS: This retrospective study linked patient-level data from OpenDataPhilly Shooting Victims and the Pennsylvania Trauma Systems Foundation. All adults transported to a Level I or II trauma center after firearm injury in Philadelphia from 2015 to 2018 were included. Patient-level characteristics were compared between cohorts; unexpected survivors were identified using Trauma Score-Injury Severity Score. Multiple regression estimated risk-adjusted associations between transport method, prehospital time, and outcomes. RESULTS: Police-transported patients (n = 977) had significantly shorter prehospital times than EMS-transported patients (n = 320) (median, 9 minutes [interquartile range, 7-12 minutes] vs. 21 minutes [interquartile range, 16-29 minutes], respectively; p < 0.001). Police-transported patients were more often severely injured than those transported by EMS (60% vs. 50%, p = 0.002). After adjusting for confounders, police-transported patients had improved survival relative to EMS on hospital arrival (87% vs. 84%, respectively, p = 0.035), but not at 6 hours (79% vs. 78%, respectively, p = 0.126) or 24 hours after arrival (76% vs. 76%, respectively, p = 0.224). Compared with EMS, police-transported patients were significantly more likely to be unexpected survivors at 6 hours (6% vs. 2%, respectively, p < 0.001) and 24 hours (3% vs. 1%, respectively, p = 0.021). CONCLUSION: Police-transported patients had more severe injuries, shorter prehospital times, and increased likelihood of unexpected survival compared with EMS-transported patients. After controlling for confounders, patient physiology and injury severity represent meaningful determinants of mortality in our mature trauma system, indicating an ongoing opportunity to optimize in-hospital care. Future studies should investigate causes of death among unexpected early survivors to mitigate preventable mortality. LEVEL OF EVIDENCE: Prognostic/Epidemiological, Level III.

Helicopter versus ground ambulance transport for interfacility transfer of critically ill children.

BACKGROUND: Following initial stabilization, critically ill children often require transfer to a specialized pediatric hospital. While the use of specialized pediatric transport teams has been associated with improved outcomes for these patients, the additional influence of transfer mode (helicopter or ground ambulance) on clinical outcomes remains unknown. METHODS: We investigated the association between transport mode and outcomes among critically ill children transferred to a single pediatric hospital via a specialized pediatric transport team. We designed a retrospective cohort study to reduce indication bias by limiting analysis to patients for whom a helicopter transport was initially requested. We compared outcomes for those who ultimately traveled via helicopter, and for those who ultimately traveled via ground ambulance due to non-clinical factors. RESULTS: We compared transport times, in-hospital mortality, and hospital length of stay by transport mode. Transport time in minutes was shorter for helicopter transports (median = 143, interquartile range [IQR]: 118-184) compared to ground ambulance transports (median = 289, IQR: 213-258; difference in medians = 146, 95% CI: 12 to 168, p < 0.001). In unadjusted analysis, helicopter transport was not associated with a difference in in-hospital mortality (helicopter = 6.0%, ground ambulance = 7.0%; 95% CI for difference: -6.6% to 3.3%; p = 0.64) but was associated with a statistically significant reduction in median hospital days (helicopter = 4, ground ambulance = 5; 95% CI -3 to 0; p = 0.04). In adjusted analyses, there were no statistically significant associations. These results were consistent across sensitivity analyses. CONCLUSIONS: Among critically ill pediatric patients without traumatic injuries transported by a specialty team, those patients who would have been transferred by helicopter if available but were instead transferred by ground ambulance reached their site of definitive care approximately 2.5 h later. Helicopter transport for these patients was not associated with in-hospital mortality, but was potentially associated with reduced hospital length of stay.

An analysis of police transport in an Eastern Association for the Surgery of Trauma multicenter trial examining prehospital procedures in penetrating trauma patients.

BACKGROUND: Police transport (PT) of penetrating trauma patients in urban locations has become routine in certain metropolitan areas; however, whether it results in improved outcomes over prehospital Advanced life support (ALS) transport has not been determined in a multicenter study. We hypothesized that PT would not result in improved outcomes. METHODS: This was a multicenter, prospective, observational study of adults (18+ years) with penetrating trauma to the torso and/or proximal extremity presenting at 25 urban trauma centers. Police transport and ALS patients were allocated via nearest neighbor, propensity matching. Transport mode also examined by Cox regression. RESULTS: Of 1,618 total patients, 294 (18.2%) had PT and 1,324 (81.8%) were by ALS. After matching, 588 (294/cohort) remained. The patients were primarily Black (n = 497, 84.5%), males (n = 525, 89.3%, injured by gunshot wound (n = 494, 84.0%) with 34.5% (n = 203) having Injury Severity Score of 16 or higher. Overall mortality by propensity matching was not different between cohorts (15.6% ALS vs. 15.0% PT, p = 0.82). In severely injured patients (Injury Severity Score ≥16), mortality did not differ between PT and ALS transport (38.8% vs. 36.0%, respectively; p = 0.68). Cox regression analysis controlled for relevant factors revealed no association with a mortality benefit in patients transported by ALS. CONCLUSION: Police transport of penetrating trauma patients in urban locations results in similar outcomes compared with ALS. Immediate transport to definitive trauma care should be emphasized in this patient population. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level III.