Uniform Prehospital Data Elements and Definitions: A Report From the Uniform Prehospital Emergency Medical Services Data Conference

1995 ◽  
Vol 25 (4) ◽  
pp. 525-534 ◽  
Author(s):  
Daniel Spaite ◽  
Ronald Benoit ◽  
Douglas Brown ◽  
Richard Cales ◽  
Drew Dawson∥ ◽  
...  
Diabetologia ◽  
2019 ◽  
Vol 62 (10) ◽  
pp. 1868-1879 ◽  
Author(s):  
Melanie Villani ◽  
Arul Earnest ◽  
Karen Smith ◽  
Dimitra Giannopoulos ◽  
Georgia Soldatos ◽  
...  

2007 ◽  
Vol 32 (4) ◽  
pp. 415-421 ◽  
Author(s):  
N.A.R. Nik Hisamuddin ◽  
M. Shah Hamzah ◽  
C. James Holliman

2016 ◽  
Vol 31 (6) ◽  
pp. 608-613 ◽  
Author(s):  
Bruno Schnegg ◽  
Mathieu Pasquier ◽  
Pierre-Nicolas Carron ◽  
Bertrand Yersin ◽  
Fabrice Dami

AbstractIntroductionThe concept of response time with minimal interval is intimately related to the practice of emergency medicine. The factors influencing this time interval are poorly understood.ProblemIn a process of improvement of response time, the impact of the patient’s age on ambulance departure intervals was investigated.MethodThis was a 3-year observational study. Departure intervals of ambulances, according to age of patients, were analyzed and a multivariate analysis, according to time of day and suspected medical problem, was performed.ResultsA total of 44,113 missions were included, 2,417 (5.5%) in the pediatric group. Mean departure delay for the adult group was 152.9 seconds, whereas it was 149.3 seconds for the pediatric group (P =.018).ConclusionA statistically significant departure interval difference between missions for children and adults was found. The difference, however, probably was not significant from a clinical point of view (four seconds).SchneggB, PasquierM, CarronPN, YersinB, DamiF. Prehospital Emergency Medical Services departure interval: does patient age matter?Prehosp Disaster Med. 2016;31(6):608–613.


2020 ◽  
Vol 3 (2) ◽  
pp. 1-5
Author(s):  
Ashley Rosenberg ◽  
◽  
Rob Rickard ◽  
Fraterne Zephyrin Uwinshuti ◽  
Gabin Mbanjumucyo ◽  
...  

The first 60 minutes after a trauma are described as “the golden hour.” For each minute of prehospital time, the risk of dying increases by 5% (Sampalis et al., 1999). Since 90% of the global burden of injuries occur in low- and middle-income countries and lead to 5.8 million deaths annually, addressing rapid access to emergency services is critical in these settings (Nielsen et al., 2012). In most low- and middle-income countries (LMICs), there are no formal trauma systems, and many lack organized prehospital care (Nielsen et al., 2012). Emergency medical dispatch and communication systems are a foundational component of emergency medical services (World Health Organization, 2005). Yet there are no established recommendations of creating these systems inLMICs.Rwanda, a country of over 12 million people, is a rapidly developing leader in East Africa. The Ministry of Health of Rwanda established the Service d’Aide Medicale Urgente (SAMU) in 2007, recognizing the need for public emergency medical services. SAMU’s national dispatch center receives roughly 3,000 calls per month through a national 912 hotline. It organizes regional transportation with 260 total ambulances located at hospitals throughout the country and provides prehospital emergency services in the capital city of Kigali with a fleet of 12 ambulances. In the city, each ambulance has a driver, nurse and anesthetist dispatched for every call. Emergency department nursing and anesthetist staff are dispatched from hospitals around the country to respond to regional emergencies. No formal prehospital cadre of the workforce exists although the SAMU staffhave extensive field experience in prehospital care. SAMU has several challenges to rapid prehospital emergency care including lack of addresses beyond the capital city, unclear location data in densely populated areas, complex communication processes with little information about health facility capacity, and no established electronic dispatch system. The average response time for SAMU ambulances was 59 minutes in 2018, but 39% of calls were not completed within the golden hour.


2021 ◽  
Vol 56 (5) ◽  
pp. 514-523
Author(s):  
Songsak Poomsaidorn ◽  
Wongsa Laohasiriwong ◽  
Keopanha Soeung

This research aimed to determine the situations and factors associated with prehospital emergency medical services (EMS) utilization for critical patients in Thailand. This cross-sectional study used the data of a survey conducted by the Information Technology for Emergency Medical System (ITEMS) of the National Institute of Emergency Medicine, Thailand. The survey collected the data among 1,145 participants using a structured questionnaire. The generalized linear mixed model (GLMM) was used to identify the factors associated with prehospital EMS utilization among critical patients when controlling the effects of covariates presenting adjusted OR and 95% confidence interval. Among 1,145 critical patients, 33.71 % reported using the prehospital EMS of the emergency medical system. Factors that were associated with prehospital EMS use had a high level of knowledge on prehospital EMS (adj. OR = 6.49; 95%CI: 3.78-11.12), high level of trust in quality and safety of prehospital EMS (adj. OR = 4.72; 95%CI: 3.50-6.36), low-moderate severity of perceived illness (adj. OR= 3.71; 95%CI: 2.54-5.42), critical condition occurred at workplace/building (adj. OR=3.57; 95%CI: 2.33-5.47), at home/residential building (adj. OR = 2.21; 95%CI: 1.37-3.58), had adequate services in the area (adj. OR= 1.94; 95%CI: 1.45-2.60), finished at least secondary school (adj. OR= 1.62; 95%CI: 1.11-2.37), less than 15km distance between scene and EMS service site (adj. OR= 1.47; 95%CI: 1.10-1.98), and were very satisfied with services (adj. OR = 1.15; 95%CI: 1.08-1.22) from the reasons mentioned.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Sung Joon Park ◽  
Jung-Youn Kim ◽  
Young-Hoon Yoon ◽  
Eu Sun Lee ◽  
Hyun-Jin Kim ◽  
...  

Introduction. Proper ambulance use is important not only due to the patient’s transport quality but also because of the need for efficient use of limited resources allotted by the system. Therefore, this study was conducted to check for overuse or underuse of the ambulance system by patients who visited the emergency department (ED). Methods. In this study, a secondary data analysis was conducted using the existing database of the National Emergency Department Information System with all patients who visited EDs over the three-year study period from 2016 to 2018. The study subjects were classified into the following groups: (1) appropriate Emergency Medical Services (EMS) usage; (2) appropriate no EMS usage; (3) underuse; and (4) overuse groups. Results. Of 18,298,535 patients, 11,668,581 (63.77%) were classified under the appropriate usage group, while 6,629,954 (36.23%) were classified under the inappropriate usage group. In the appropriate EMS usage group, there were 2,408,845 (13.16%) patients. In the appropriate no EMS usage group, there were 9,259,706 (50.60%) patients. As for the inappropriate usage group, there were 5,147,352 (28.13%) patients categorized under the underuse group. On the other hand, there were 1,482,602 (8.10%) patients under the overuse group. Conclusion. There are many patients who use ambulances appropriately, but there are still many overuse and underuse. Guidelines on ambulance use are necessary for the efficient use of emergency medical resources and for the safety of patients.


Author(s):  
Cedric W. Lefebvre ◽  
Jay P. Babich ◽  
James H. Grendell ◽  
James H. Grendell ◽  
John E. Heffner ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document