Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors
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Prehospital traumatic cardiac arrest (TCA) is associated with a poor prognosis and requires urgent interventions to address its potentially reversible causes. Resuscitative efforts of TCA in the prehospital setting may entail significant resource allocation and impose added tolls on caregivers. The Israel Defense Forces Medical Corps (IDF-MC) instructs clinicians to perform a set protocol in the case of TCA, providing prompt oxygenation, chest decompression and volume resuscitation. This study investigates the settings, interventions, and outcomes of TCA resuscitation by IDF-MC teams over 25 years in both combat and civilian settings. ⋯ The prognosis of prehospital TCA is poor, and efforts to address its potentially reversible causes may often be futile. These notions may be further emphasized in military settings, where resources are limited, and extensive penetrating injuries are more common.
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Objectives: Diet quality often changes as shift workers adjust to atypical work schedules, however, limited research exists examining the early effects of starting rotating shift work on diet and body composition. This study explored dietary behavior changes occurring in graduate paramedics during the first year of exposure to rotating shift work, and investigated dietary intake, diet quality and anthropometric changes over two years. Methods: Participants from a graduate paramedic cohort in Melbourne, Australia were approached after two years of shift work for study inclusion. ⋯ While daily energy intake and diet quality scores did not differ in the first two years of shift work, daily energy from takeaway foods significantly increased (mean difference (MD): 2.96% EI; 95% CI: 0.44 - 5.48; p = 0.017) and increases in weight (MD: 2.96 kg; 95% CI: 0.89-5.04; p = 0.003), BMI (MD: 1.07 kg/m2; 95% CI: 0.26 - 1.87; p = 0.006) and waist circumference (MD: 5.07 cm; 95% CI: 1.25-8.89; p = 0.006) were also evident at two years. Conclusions: This study contributes new information on dietary changes and the current early trajectory of unintentional weight gain and takeaway reliance occurring within a graduate paramedic cohort over two years of shift work. To reduce the unintended metabolic consequences commonly observed with rotating shift schedules, workplaces could improve access to healthier food options and enable behavioral support/education to address nutrition-related health risks.
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Background: The objective of this study was to develop and validate machine learning models for data entry error detection in a national out-of-hospital cardiac arrest (OHCA) prehospital patient care report database. Methods: Adult OHCAs of presumed cardiac etiology were included. Data entry errors were defined as discrepancies between the coded data and the free-text note documenting the intervention or event; for example, information that was recorded as "absent" in the coded data but "present" in the free-text note. ⋯ Machine learning models detected errors most efficiently for outcome place and initial rhythm errors; 82.6% of place errors and 93.8% of initial rhythm errors could be detected while checking 11 and 35% of data, respectively, compared to the strategy of checking all data. Conclusion: Machine learning models can detect data entry errors in care reports of emergency medical services (EMS) clinicians with acceptable performance and likely can improve the efficiency of the process of data quality control. EMS organizations that provide more prehospital interventions for OHCA patients could have higher error rates and may benefit from the adoption of error-detection models.
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Introduction: Emergency medical services (EMS) fellowship program accreditation in the United States began in 2013, and the number of available programs has rapidly expanded since then with a corresponding increase in the number of fellows. Despite this increase in program number and attendance, there is a paucity of data in the literature reviewing personal and professional characteristics of the fellows, their experiences during fellowship, or understanding of their intended desires from fellowship. Methods: This study surveyed 2020-21 and 2021-22 EMS fellows regarding their personal and professional characteristics, motivations for program choice, remaining school debt, and the effects of COVID-19 on their training. ⋯ Conclusions: The demographics and graduate's level of preparedness appear similar to those reported from 2016, and reflect the demographics of emergency medicine residents. Other new information including desired program qualities and offerings is potentially useful for program directors. COVID-19 did appear to have a small effect on fellow's actions and possibly on ease of post-graduation employment.
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The dynamic and uncontrolled nature of paramedic work frequently exposes these workers to physical and psychological injury. Often paramedic injury rates are estimated based on national injury surveillance data or compensation databases. These data sources tend to only capture cases of a more serious nature and overlook the broader factors that contribute to injury. This limits our understanding of the true burden of paramedic injury and the characteristics associated with increased injury severity. ⋯ Paramedics working in Victoria have a higher rate of work-related injury than other Australian workers. Injury-related factors that are often overlooked, such as time, shift type, location, and injury characteristics, all contribute to an increased risk of lost time injury. An understanding of the factors that contribute to an increase in injury severity may facilitate the development and targeting of appropriate interventions.