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As temperatures globally continue to rise, sporting events such as marathons will take place on warmer days, increasing the risk of exertional heat stroke (EHS).
Methods
The medical librarian developed and executed comprehensive searches in Ovid MEDLINE, Ovid Embase, CINAHL, SPORTDiscus, Scopus, and Web of Science Core Collection. Relevant keywords were selected. The results underwent title, abstract, and full text screening in a web-based tool called Covidence, and were analyzed for pertinent data.
Results
A total of 3918 results were retrieved. After duplicate removal and title, abstract, and full text screening, 38 articles remained for inclusion. There were 22 case reports, 12 retrospective reviews, and 4 prospective observational studies. The races included half marathons, marathons, and other long distances. In the case reports and retrospective reviews, the mean environmental temperatures were 21.3°C and 19.8°C, respectively. Discussions emphasized that increasing environmental temperatures result in higher incidences of EHS.
Conclusion
With rising global temperatures from climate change, athletes are at higher risk of EHS. Early ice water immersion is the best treatment for EHS. Earlier start times and cooling stations for races may mitigate incidences of EHS. Future work needs to concentrate on the establishment of EHS prevention and mitigation protocols.
Mass Gathering Medicine focuses on mitigating issues at Mass Gathering Events. Medical skills can vary substantially among staff, and the literature provides no specific guidance on staff training. This study highlights expert opinions on minimum training for medical staff to formalize preparation for a mass gathering.
Methods
This is a 3-round Delphi study. Experts were enlisted at Mass Gathering conferences, and researchers emailed participation requests through Stat59 software. Consent was obtained verbally and on Stat59 software. All responses were anonymous. Experts generated opinions. The second and third rounds used a 7-point linear ranking scale. Statements reached a consensus if the responses had a standard deviation (SD) of less than or equal to 1.0.
Results
Round 1 generated 137 open-ended statements. Seventy-three statements proceeded to round 2. 28.7% (21/73) found consensus. In round 3, 40.3% of the remaining statements reached consensus (21/52). Priority themes included venue-specific information, staff orientation to operations and capabilities, and community coordination. Mass casualty preparation and triage were also highlighted as a critical focus.
Conclusions
This expert consensus framework emphasizes core training areas, including venue-specific operations, mass casualty response, triage, and life-saving skills. The heterogeneity of Mass Gatherings makes instituting universal standards challenging. The conclusions highlight recurrent themes of priority among multiple experts.
Historically, medical response efforts to large-scale disaster events have highlighted significant variability in the capabilities of responding medical providers and emergency medical teams (EMTs). Analysis of the 2010 Haiti earthquake response found that a number of medical teams were poorly prepared, inexperienced, or lacked the competencies to provide the level of medical care required, highlighting the need for medical team standards.
The World Health Organization (WHO) EMT initiative that followed created minimum team standards for responding international EMTs to improve the quality and timeliness of medical services. At the present time however, there remains a lack of globally recognized minimum competency standards at the level of the individual disaster medical responder, allowing for continued variability in patient care.
Objectives:
This study examines existing competencies for physicians, nurses, and paramedics who are members of deployable disaster response teams.
Method/Description:
A scoping review of published English-language articles on existing competencies for physicians, nurses, and paramedics who are members of deployable disaster response teams was performed in Ovid MEDLINE, Ovid Embase, CINAHL, Scopus, and Web of Science Core Collection. A total of 3,474 articles will be reviewed.
Results/Outcomes:
Data to be analyzed by October 1, 2024.
Conclusion:
There is a need to develop minimum standards for healthcare providers on disaster response teams. Identification of key existing competencies for disaster responders will provide the foundation for the creation of globally recognized minimum competency standards for individuals seeking to join an EMT in the future and will guide training and curricula development.
This study aimed to understand the current landscape of USA-based disaster medicine (DM) programs through the lens of alumni and program directors (PDs). The data obtained from this study will provide valuable information to future learners as they ponder careers in disaster medicine and allow PDs to refine curricular offerings.
Methods
Two separate surveys were sent to USA-based DM program directors and alumni. The surveys gathered information regarding current training characteristics, career trajectories, and the outlook of DM training.
Results
The study had a 57% response rate among PDs, and 42% response rate from alumni. Most programs are 1-year and accept 1-2 fellows per class. More than 60% of the programs offer additional advanced degrees. Half of the respondents accept international medical graduates (IMGs). Only 25% accept non-MD/DO/MBBs trained applicants. Most of the alumni hold academic and governmental positions post-training. Furthermore, many alumni report that fellowship training offered an advantage in the job market and allowed them to expand their clinical practice.
Conclusions
The field of disaster medicine is continuously evolving owing to the increased recognition of the important roles DM specialists play in healthcare. The fellowship training programs are experiencing a similar evolution with an increasing trend toward standardization. Furthermore, graduates from these programs see their training as a worthwhile investment in career opportunities.
Expressions involving optimal sign vectors are derived so as to yield two new applications. First, coefficient alpha for the sign-weighted composite is maximized in analogy to Lord's scale-independent solution with differential weights. Second, optimal sign vectors are used to define two groups of objects that are maximally distinct in terms of a function of the squared euclidean distances between groups. An efficient computing algorithm is described along with several examples.
A chain of lower-bound inequalities leading to the greatest lower bound to reliability is established for the internal consistency of a composite of unit-weighted components. The chain includes the maximum split-half coefficient, the lowest coefficient consistent with nonimaginary common factors, and the lowest coefficient consistent with nonimaginary common and unique factors. Optimization theory is utilized to determine the conditions that are requisite for the inequalities. Convergence proofs demonstrate that the coefficients can be attained. Rapid algorithms obtain estimates of the coefficients with sample data. The theory yields methods for splitting items into maximally similar sets and for exploratory factor analysis based on a theoretical solution to the communality problem.
Next generation high-power laser facilities are expected to generate hundreds-of-MeV proton beams and operate at multi-Hz repetition rates, presenting opportunities for medical, industrial and scientific applications requiring bright pulses of energetic ions. Characterizing the spectro-spatial profile of these ions at high repetition rates in the harsh radiation environments created by laser–plasma interactions remains challenging but is paramount for further source development. To address this, we present a compact scintillating fiber imaging spectrometer based on the tomographic reconstruction of proton energy deposition in a layered fiber array. Modeling indicates that spatial resolution of approximately 1 mm and energy resolution of less than 10% at proton energies of more than 20 MeV are readily achievable with existing 100 μm diameter fibers. Measurements with a prototype beam-profile monitor using 500 μm fibers demonstrate active readouts with invulnerability to electromagnetic pulses, and less than 100 Gy sensitivity. The performance of the full instrument concept is explored with Monte Carlo simulations, accurately reconstructing a proton beam with a multiple-component spectro-spatial profile.
This study analyzes disparities in initial healthcare responses in Turkey and Syria following 2023 earthquakes.
Methods
Using Humanitarian Data Exchange, Crude Mortality Rates (CMR) and injury rates in both countries were calculated, and temporal trends of death tolls and injuries in the first month post- catastrophe were compared. WHO Flash Appeal estimated funding requirements, and ratios of humanitarian aid personnel in Urban Search and Rescue (USAR) teams per population from ReliefWeb and MAPACTION data were used to gauge disparities.
Results
56,051,096 individuals were exposed, with Turkey having 44 million vs 12 in Syria. Turkey had higher CMR in affected areas (10.5 vs 5.0/10,000), while Syria had higher CMR in intensely seismic regions (9.2 vs 7.7/1,000). Turkey had higher injury rates (24.6 vs 9.9/10,000). Death and injury rates plateaued in Syria after three days, but steadily rose in Turkey. Syria allocated more funding for all priorities per population except healthcare facilities’ rehabilitation. Turkey had 219 USAR teams compared to Syria’s six, with significantly more humanitarian aid personnel (23 vs 2/100,000).
Conclusions
Significant disparities in initial healthcare response were observed between Turkey and Syria, highlighting need for policymakers to enhance responses in conflict-affected events to reduce impact on affected populations.
Background: Glasgow Coma Scale (GCS) is the gold standard for neurological assessment in traumatic head injury. Limitations to GCS include variations in rater reliability, test setting and sedation/intubation. Serial Neurological Assessments in Pediatrics (SNAP) was designed to standardize neurological assessment. We examined the efficacy of SNAP for earlier detection of acute neurological decompensation. Methods: Retrospective analysis identified patients with acute neurological decline (drop in GCS of >2 in 1 hour). We reviewed GCS and SNAP (calculated using neurological consultant notes) scores 48 hours prior to decline. Slopes were calculated for each score over time. Results: Four patients were eligible, with > 2 GCS and SNAP scores available for calculation. Average slopes for GCS were 1.3, -0.8, 1.6 and 2.1 for eyes, voice, motor, and total GCS, respectively, and -2.6, 0, -2.3, -2.4, -2.4, -2.0, -2.8 and -11.9 for mental status, cranial nerve, communication, left and right upper extremities, left and right lower extremities, and total SNAP score, respectively. Conclusions: All aspects of the SNAP score had negative and steeper slopes prior to neurological decline, whereas only ‘voice’ in GCS had a negative trend. These findings suggest that the SNAP tool may be useful in earlier identification of acute decline. Ongoing prospective studies are underway.
Final conversations (FCs) go beyond how patients want to be cared for at the end of life (EOL) and focus on messages of love, identity specific, and unique to an individual and relationship that requires self-examination, everyday talk that normalizes a difficult situation, religious/spiritual messages, and if needed, difficult relationship talk to heal broken relationships. The purpose of the Catalyzing Relationships at the End of Life (CAREol) program was to provide interdisciplinary education to nursing and medical students and clinical faculty about facilitating FCs among patients and families.
Method
This two-part, quasi-experimental program consisted of a cognitive (online) and experiential (live simulation) curriculum experience. Program curriculum, including video vignettes, readings, and live simulation (utilizing actors), was developed by the study team. Reflective journaling and researcher designed pre- and post-tests were used to assess comfort, confidence, importance, and distress regarding FCs and collaboration with other disciplines.
Results
The pre-/post-test questions demonstrate statistical significance based on a paired t-test with effect sizes supporting the practical importance of the findings for effect size. Preliminary content and thematic analysis of qualitative responses describe categories of the mock team meeting experience and interaction with the actors to change patient and family outcomes.
Significance of results
Early intervention with the CAREol program provides a framework to help students and clinical faculty facilitate FCs that may result in peace and comfort for patients and families during a difficult time.
Background: Severity of HIE is based on Sarnat classification; however, it is difficult to predict precise neurodevelopmental outcomes as this only provides a single snapshot in time. We aimed to use machine-based learning to better understand variables contributing towards HIE severity. Methods: Patients with HIE treated with hypothermia were studied between 2014 and 2020 at level 3 NICUs in Calgary, Alberta. Clinical information contained 23 features including specifics of clinical examination, blood work, MRI and EEG findings, and medications. Random forest models were trained to examine features most predictive of HIE severity. Results: Two hundred and six patients were eligible. By grouping patients based on the initial Sarnat score and post-cooling exam, features correctly predicted groups 43% and 73% of the time, respectively. Precision, accuracy, and recall was best for the mild group. Using MRI and day 1 seizures it was 54% and 67% predictive, respectively. Features contributing most included arterial pH, initial lactate, and overall EEG findings. There are ongoing analyses for further classification. Conclusions: Machine-based learning can improve predictive models for patient outcomes. There is benefit in using variables outside of the initial examination to improve classification. We aim to expand this model to include detailed neurodevelopmental outcomes to improve prognostication.
This comprehensive textbook provides a modern, self-contained treatment for upper undergraduate and graduate level students. It emphasizes the links between structure, defects, bonding, and properties throughout, and provides an integrated treatment of a wide range of materials, including crystalline, amorphous, organic and nano- materials. Boxes on synthesis methods, characterization tools, and technological applications distil specific examples and support student understanding of materials and their design. The first six chapters cover the fundamentals of extended solids, while later chapters explore a specific property or class of material, building a coherent framework for students to master core concepts with confidence, and for instructors to easily tailor the coverage to fit their own single semester course. With mathematical details given only where they strengthen understanding, 400 original figures and over 330 problems for hands-on learning, this accessible textbook is ideal for courses in chemistry and materials science.
In 2019, California and Wilmington, Delaware‘ implemented policies requiring healthier default beverages with restaurant kids’ meals. The current study assessed restaurant beverage offerings and manager perceptions.
Design:
Pre-post menu observations were conducted in California and Wilmington. Observations of cashiers/servers during orders were conducted pre-post implementation in California and post-implementation in Wilmington. Changes in California were compared using multilevel logistic regression and paired t tests. Post-implementation, managers were interviewed.
Setting:
Inside and drive-through ordering venues in a sample of quick-service restaurants in low-income California communities and all restaurants in Wilmington subject to the policy, the month before and 7–12 months after policy implementation.
Participants:
Restaurant observations (California n 110; Wilmington n 14); managers (California n 75; Wilmington n 15).
Results:
Pre-implementation, the most common kids’ meal beverages on California menus were unflavoured milk and water (78·8 %, 52·0 %); in Wilmington, juice, milk and sugar-sweetened beverages were most common (81·8 %, 66·7 % and 46·2 %). Post-implementation, menus including only policy-consistent beverages significantly increased in California (9·7 % to 66·1 %, P < 0·0001), but remained constant in Wilmington (30·8 %). During orders, cashiers/servers offering only policy-consistent beverages significantly decreased post-implementation in California (5·0 % to 1·0 %, P = 0·002). Few managers (California 29·3 %; Wilmington 0 %) reported policy knowledge, although most expressed support. Most managers wanted additional information for customers and staff.
Conclusions:
While the proportion of menus offering only policy-consistent kids’ meal default beverages increased in California, offerings did not change in Wilmington. In both jurisdictions, managers lacked policy knowledge, and few cashiers/servers offered only policy-consistent beverages. Additional efforts are needed to strengthen implementation of kids’ meal beverage policies.