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43 results for “emergency medical services”
Attitudes and Stressors related to the SARS-CoV-2 Pandemic among Emergency Medical Services Workers in Germany: A cross-sectional Study
<p>This dataset stems from a cross-sectional study conducted in April and Mai 2020 among n=1537 emergency medical services workers (EMS) from entire Germany during the first peak of the SARS-CoV-2 pandemic. The study questionnaire was distributed online with help of the German Association of Emergency Medical Service on their social media channels. The collected data provides insights into major stressors among EMS workers at the first peak of the pandemic in Germany and allows for analysis of possible determinants of major stressors via logistic regression analysis. No funding was obtained for this study.</p> <p> </p> <p><strong>Research question:</strong></p> <p>Investigation of pandemic-related attitudes, stressors and work outcomes among emergency medical services workers during the SARS-CoV-2 pandemic</p> <p><strong>Study population: </strong></p> <p>Emergency medical services workers in Germany</p> <p><strong>Study type: </strong></p> <p>Cross-sectional study (two independent cross-sectional waves)</p> <p><strong>File type: </strong></p> <p>SPSS file (.sav)</p> <p><strong>Study periods: </strong></p> <p>First wave: April 9th-16th 2020<br> Second wave: Mai 14th-21st 2020</p> <p><strong>Number of participants: </strong></p> <p>1537</p> <p><strong>Missing values: </strong></p> <p>None (due to online survey) </p> <p><strong>Original variables: </strong></p> <p>v_982, v_1, v_2, v_31, v_4, v_5, v_7, dupl1_v_13, dupl1_v-14, v_57, v_13, v_37, v_38, v_39, v_40, v_41, v_42, v_43, v_44, v_45, v_46, v_47, v_48, v_49, v_50, dupl1_v_40, dupl1_v_41, dupl1_v_42, dupl1_v_43, v_55, Beruf_Rettungsdienst, Welle</p> <p>All other variables were calculated from the original variables either by rescaling or dichotomization. </p> <p>Dichotomization of attitudes, stressors and work outcomes: <br> Answer options "Strongly disagree" and "Disagree" were labelled as "no"<br> Answer options "Agree" and "Strongly Agree" were labelled as "yes"</p> <p>Dichotomization of self-rated health:<br> Answer options "Very bad", "Bad" and "Moderate" were labelled as "Bad".<br> Answer options "Good" and "Very good" were labelled as "Good".</p>
Designing and implementing smart glass technology for emergency medical services: A sociotechnical perspective
<p>Objective: This study aims to investigate key considerations and critical factors that influence the implementation and adoption of smart glasses in fast-paced medical settings such as emergency medical services (EMS).</p> <p>Materials and Methods: We employed a sociotechnical theoretical framework and conducted a set of participatory design workshops with fifteen EMS providers to elicit their opinions and concerns about using smart glasses in real practice.</p> <p>Results: Smart glasses were recognized as a useful tool to improve EMS workflow given their hands-free nature and capability of processing and capturing various patient data. Out of the eight dimensions of the sociotechnical model, we found that hardware and software, human-computer interface, workflow, and external rules and regulations were cited as the major factors that could influence the adoption of this novel technology. EMS participants highlighted several key requirements for successful implementation of smart glasses in the EMS context, such as durable devices, easy-to-use and minimal interface design, seamless integration with existing systems and workflow, and secure data management.</p> <p>Discussion: Applications of the sociotechnical model allowed us to identify a range of factors, including not only technical aspects, but also social, organizational, and human factors, that impact the implementation and uptake of smart glasses in EMS. Our work informs design implications for smart glass applications to fulfill EMS providers' needs.</p> <p>Conclusion: The successful implementation of smart glasses in EMS and other dynamic healthcare settings needs careful consideration of sociotechnical issues and close collaboration between different stakeholders.</p>
THE FIELD'S MALL MASS SHOOTING: EMERGENCY MEDICAL SERVICES RESPONSE
<p>Case report describing the mass shooting at the Field's shopping mall in Copenhagen, July 3rd, 2022.</p> <p>Dataset to support the findings of the case report, hopefully to be published after peer-review in Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.</p>
Emergency Medical Services Box
An original Emergency Medical Services (EMS) Box. Also known long ago as a First Aid box. Perhaps dates back to the 1940's. This object is a part of the Indianapolis Fire Fighters Museum collection. This item was 3D scanned using a Creaform Go Scan 50. For more information about this object, feel free to visit: https://www.visitindy.com/indianapolis-firefighters-museum-historical-society For more information about the 3D Digitization Program at IUPUI visit: https://www.ulib.iupui.edu/digitalscholarship/3ddig Source: Objaverse 1.0 / Sketchfab
Designing and implementing smart glass technology for emergency medical services: A sociotechnical perspective
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Detailed emergency medical services midazolam administration by dose and route
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Data from: Reducing early infant mortality in India: results of a prospective cohort of pregnant women utilizing emergency medical services
Objectives: To describe the demographic characteristics and clinical outcomes of neonates born within 7 days of public ambulance transport to hospitals across five states in India. Design: Prospective observational study. Setting: Five Indian states using a centralised EMS agency that transported 3.1 million pregnant women in 2014. Participants: Over 6 weeks in 2014, this study followed a convenience sample of 1,431 neonates born to women utilizing a public-private ambulance service for a 'pregnancy related' problem. Initial calls were deemed 'pregnancy related' if categorised by EMS dispatchers as 'pregnancy', 'childbirth', 'miscarriage' or 'labour pains'. Interfacility transfers, patients absent on ambulance arrival, refusal of care, and neonates born to women beyond 7 days of using the service were excluded. Main outcome measures: Death at 2, 7 and 42 days after delivery. Results: Among 1,684 women, 1,411 gave birth to 1,431 newborns within 7 days of initial ambulance transport. Median maternal age at delivery was 23 years (IQR: 21-25). Most mothers were from rural/tribal areas (92.5%) and lower social (79.9%) and economic status (69.9%). Follow-up rates at 2, 7 and 42 days were 99.8%, 99.3% and 94.1%, respectively. Cumulative mortality rates at 2, 7 and 42-days follow-up were 41, 53 and 62 per 1000 births, respectively. The perinatal mortality rate (PMR) was 53 per 1000. Preterm birth [OR: 2.89, 95% CI: 1.67-5.00], twin deliveries (OR: 2.80, 95% CI: 1.10-7.15), and cesarean section (2.21, 95% CI: 1.15-4.23) were the strongest predictors of mortality. Conclusions: The perinatal mortality rate associated with this cohort of patients with high-acuity conditions of pregnancy was nearly two times the most recent rate for India as a whole (28 per 1000 births). EMS data has the potential to provide more robust estimates of PMR, reduce inequities in timely access to healthcare, and increase facility-based care through service of marginalized populations.
Job satisfaction and performance orientation in German emergency medical service – a nationwide survey
<p>In a nationwide German cross-sectional questionnaire survey, we collected data on job satisfaction an perfomance orientation of paramedics in Germany.</p> <p>This file contains the underlying data set as a result of the online questionnaire.</p>
Data from: Characteristics and outcomes of women utilizing emergency medical services for third-trimester pregnancy-related complaints in India: a prospective observational study
Objectives: Characterize the demographics, management, and outcomes of obstetric patients transported by emergency medical services (EMS). Design: Prospective observational study. Setting: Five Indian states utilizing a centralized EMS agency that transported 3.1 million pregnant women in 2014. Participants: This study enrolled a convenience sample of 1684 women in third trimester of pregnancy calling with a "pregnancy-related" complaint for free-of-charge ambulance transport. Calls were deemed "pregnancy-related" if categorized by EMS dispatchers as "pregnancy", "childbirth", "miscarriage", or "labor pains". Interfacility transfers, patients absent upon ambulance arrival, and patients refusing care were excluded. Main outcome measures: Emergency medical technician (EMT) interventions, method of delivery, and death. Results: The median age enrolled was 23 years (IQR 21-25). Women were primarily from rural/tribal areas (1550/1684 (92.0%)) and lower economic strata (1177/1684 (69.9%)). Time from initial call to hospital arrival was longer for rural/tribal compared to urban patients (66 min (IQR 51-84) vs 56 min (IQR 42-73), respectively, p<0.0001). EMTs assisted delivery in 44 women, delivering the placenta in 33/44 (75%), performing transabdominal uterine massage in 29/33 (87.9%), and administering oxytocin in none (0%). There were 1411 recorded deliveries. Most women delivered at a hospital (1212/1411 (85.9%)), however 126/1411 (8.9%) delivered at home following hospital discharge. Follow-up rates at 48 hours, 7 days, and 42 days were 95.0%, 94.4%, and 94.1%, respectively. Four women died, all within 48 hours. The cesarean section rate was 8.2% (116/1411). On multivariate regression analysis, women transported to private hospitals versus government primary health centers were less likely to deliver by cesarean section (odds ratio 0.14 (0.05 to 0.43)). Conclusions: Pregnant women from vulnerable Indian populations use free-of-charge EMS for impending delivery, making it integral to the health care system. Future research and health system planning should focus on strengthening and expanding EMS as a component of EmONC.
Response Times in Danish Emergency Medical Services
ClinicalTrials.gov study NCT06666647. IPD Sharing: NO. Countries: 1. Publications: 38.
Pilot Project: Community Health Assessment Program Through Emergency Medical Services
ClinicalTrials.gov study NCT02772263. IPD Sharing: NO. Countries: 1. Publications: 1.
Impact of Influenza/RSV PCR Point-of-care Testing in the Emergency Medical Service.
ClinicalTrials.gov study NCT04048369. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Patients Treated by the Danish Emergency Medical Services Following Non-drowning Water Rescues From 2016 to 2023
ClinicalTrials.gov study NCT06327893. IPD Sharing: NO. Countries: 1. Publications: 1.
Airway Management Study in Physician Manned Helicopter Emergency Medical Services
ClinicalTrials.gov study NCT01502111. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Placement of Peripheral Venous Catheters Under Echo Guidance in a Post-emergency Medical Service
ClinicalTrials.gov study NCT04856826. IPD Sharing: NO. Countries: 1. Publications: 1.
Prehospital Management of Stroke Patients by Emergency Medical Services
ClinicalTrials.gov study NCT02191514. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Pediatric Dose Optimization for Seizures in Emergency Medical Services
ClinicalTrials.gov study NCT05121324. IPD Sharing: YES. Countries: 1. Publications: 6.
A Registry Study for Emergency Medical Service of Aneurysmal Subarachnoid Hemorrhage in China
ClinicalTrials.gov study NCT03115905. IPD Sharing: YES. Countries: 1. Publications: 8.
Telemedical Support for Prehospital Emergency Medical Service
ClinicalTrials.gov study NCT02617875. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Causes of Traffic Collisions of Ambulance Cars at the Prague Emergency Medical Services
ClinicalTrials.gov study NCT04808219. IPD Sharing: NO. Countries: 1. Publications: 5.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.