prehospital time
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2021 ◽  
Vol 6 (12) ◽  
pp. e007145
Author(s):  
Felana Angella Ihantamalala ◽  
Matthew H Bonds ◽  
Mauricianot Randriamihaja ◽  
Luc Rakotonirina ◽  
Vincent Herbreteau ◽  
...  

BackgroundThe provision of emergency and hospital care has become an integral part of the global vision for universal health coverage. To strengthen secondary care systems, we need to accurately understand the time necessary for populations to reach a hospital. The goal of this study was to develop methods that accurately estimate referral and prehospital time for rural districts in low and middle-income countries. We used these estimates to assess how local geography can limit the impact of a strengthened referral programme in a rural district of Madagascar.MethodsWe developed a database containing: travel speed by foot and motorised vehicles in Ifanadiana district; a full mapping of all roads, footpaths and households; and remotely sensed data on terrain, land cover and climatic characteristics. We used this information to calibrate estimates of referral and prehospital time based on the shortest route algorithms and statistical models of local travel speed. We predict the impact on referral numbers of strategies aimed at reducing referral time for underserved populations via generalised linear mixed models.ResultsAbout 10% of the population lived less than 2 hours from the hospital, and more than half lived over 4 hours away, with variable access depending on climatic conditions. Only the four health centres located near the paved road had referral times to the hospital within 1 hour. Referral time remained the main barrier limiting the number of referrals despite health system strengthening efforts. The addition of two new referral centres is estimated to triple the population living within 2 hours from a centre with better emergency care capacity and nearly double the number of expected referrals.ConclusionThis study demonstrates how adapting geographic accessibility modelling methods to local scales can occur through improving the precision of travel time estimates and pairing them with data on health facility use.


2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Liu Lihui ◽  
Yuan qing

Objective. To explore the effect of optimizing the prehospital-hospital emergency nursing path on the rescue speed, rescue effect, and patient prognosis of patients with cerebral hemorrhage. Methods. A retrospective study was performed to select 227 patients with acute cerebral hemorrhage who visited our hospital from August 2018 to October 2019, and we compared the optimization of the prehospital-hospital emergency nursing pathway (research group) with traditional prehospital time spent in the rescue and the prognosis of patients in the emergency care pathway (control group) in the hospital. The GOS score, FMA score, and Barthel index were used to compare the prognosis of the two groups of patients. Results. The prehospital-hospital emergency nursing route was optimized compared with the traditional nursing route. The rescue time of patients in each link was shorter ( P < 0.05 ), and the incidence of complications was low ( P < 0.05 ). The scales and scores all suggested that patients had a better prognosis ( P < 0.05 ). Conclusion. Optimizing the prehospital-hospital emergency nursing path can significantly shorten the rescue time, improve the rescue effect, and improve the prognosis of patients.


2021 ◽  
Vol 6 (11) ◽  
pp. e007315
Author(s):  
Marta Caviglia ◽  
Giovanni Putoto ◽  
Andrea Conti ◽  
Francesca Tognon ◽  
Amara Jambai ◽  
...  

IntroductionSierra Leone, one of the countries with the highest maternal and perinatal mortality in the world, launched its first National Emergency Medical Service (NEMS) in 2018. We carried out a countrywide assessment to analyse NEMS operational times for obstetric emergencies in respect the access to timely essential surgery within 2 hours. Moreover, we evaluated the relationship between operational times and maternal and perinatal mortality.MethodsWe collected prehospital data of 6387 obstetric emergencies referrals from primary health units to hospital facilities between June 2019 and May 2020 and we estimated the proportion of referrals with a prehospital time (PT) within 2 hours. The association between PT and mortality was investigated using Poisson regression models for binary data.ResultsAt the national level, the proportion of emergency obstetric referrals with a PT within 2 hours was 58.5% (95% CI 56.9% to 60.1%) during the rainy season and 61.4% (95% CI 59.5% to 63.2%) during the dry season. Results were substantially different between districts, with the capital city of Freetown reporting more than 90% of referrals within the benchmark and some rural districts less than 40%. Risk of maternal death at 60, 120 and 180 min of PT was 1.8%, 3.8% and 4.3%, respectively. Corresponding figures for perinatal mortality were 16%, 18% and 25%.ConclusionNEMS operational times for obstetric emergencies in Sierra Leone vary greatly and referral transports in rural areas struggle to reach essential surgery within 2 hours. Maternal and perinatal risk of death increased concurrently with operational times, even beyond the 2-hour target, therefore, any reduction of the time to reach the hospital, may translate into improved patient outcomes.


Author(s):  
Nicklaus P. Ashburn ◽  
Anna C. Snavely ◽  
Ryan M. Angi ◽  
James F. Scheidler ◽  
Remle P. Crowe ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Job F. Waalwijk ◽  
Rogier van der Sluijs ◽  
Robin D. Lokerman ◽  
Audrey A.A. Fiddelers ◽  
Falco Hietbrink ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Phantakan Tansuwannarat ◽  
Pongsakorn Atiksawedparit ◽  
Arrug Wibulpolprasert ◽  
Natdanai Mankasetkit

Abstract Background This work was to study the prehospital time among suspected stroke patients who were transported by an emergency medical service (EMS) system using a national database. Methods National EMS database of suspected stroke patients who were treated by EMS system across 77 provinces of Thailand between January 1, 2015, and December 31, 2018, was retrospectively analyzed. Demographic data (i.e., regions, shifts, levels of ambulance, and distance to the scene) and prehospital time (i.e., dispatch, activation, response, scene, and transportation time) were extracted. Time parameters were also categorized according to the guidelines. Results Total 53,536 subjects were included in the analysis. Most of the subjects were transported during 06.00-18.00 (77.5%) and were 10 km from the ambulance parking (80.2%). Half of the subjects (50.1%) were served by advanced life support (ALS) ambulance. Median total time was 29 min (IQR 21, 39). There was a significant difference of median total time among ALS (30 min), basic (27 min), and first responder (28 min) ambulances, Holm P = 0.009. Although 91.7% and 88.3% of the subjects had dispatch time ≤ 1 min and activation time ≤ 2 min, only 48.3% had RT ≤ 8 min. However, 95% of the services were at the scene ≤ 15 min. Conclusion Prehospital time from EMS call to hospital was approximately 30 min which was mainly utilized for traveling from the ambulance parking to the scene and transporting patients from the scene to hospitals. Even though only 48% of the services had RT ≤ 8 min, 95% of them had the scene time ≤ 15 min.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
E. Berkeveld ◽  
Z. Popal ◽  
P. Schober ◽  
W. P. Zuidema ◽  
F. W. Bloemers ◽  
...  

Abstract Background The time from injury to treatment is considered as one of the major determinants for patient outcome after trauma. Previous studies already attempted to investigate the correlation between prehospital time and trauma patient outcome. However, the outcome for severely injured patients is not clear yet, as little data is available from prehospital systems with both Emergency Medical Services (EMS) and physician staffed Helicopter Emergency Medical Services (HEMS). Therefore, the aim was to investigate the association between prehospital time and mortality in polytrauma patients in a Dutch level I trauma center. Methods A retrospective study was performed using data derived from the Dutch trauma registry of the National Network for Acute Care from Amsterdam UMC location VUmc over a 2-year period. Severely injured polytrauma patients (Injury Severity Score (ISS) ≥ 16), who were treated on-scene by EMS or both EMS and HEMS and transported to our level I trauma center, were included. Patient characteristics, prehospital time, comorbidity, mechanism of injury, type of injury, HEMS assistance, prehospital Glasgow Coma Score and ISS were analyzed using logistic regression analysis. The outcome measure was in-hospital mortality. Results In total, 342 polytrauma patients were included in the analysis. The total mortality rate was 25.7% (n = 88). Similar mean prehospital times were found between the surviving and non-surviving patient groups, 45.3 min (SD 14.4) and 44.9 min (SD 13.2) respectively (p = 0.819). The confounder-adjusted analysis revealed no significant association between prehospital time and mortality (p = 0.156). Conclusion This analysis found no association between prehospital time and mortality in polytrauma patients. Future research is recommended to explore factors of influence on prehospital time and mortality.


BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tangqin Zhang ◽  
Chu Chen ◽  
Xiangjun Xu ◽  
Junfeng Xu ◽  
Ke Yang ◽  
...  

Abstract Background and purpose The purpose of our study was to analyse endovascular treatment (EVT) in patients presenting acute anterior circulation ischemic stroke with large-vessel occlusion (AIS-LVO) during the pandemic and post-epidemic periods. Methods Patients with AIS-LVO of the anterior circulation who underwent EVT were enrolled. According to the times of Wuhan closure and reopening, patients were divided into a pre-pandemic group (from November 8, 2019, to January 22, 2020), pandemic group (from January 23, 2020, to April 8, 2020) and post-epidemic group (from April 9, 2020, to June 24, 2020). The primary endpoints were the time delay among symptom onset to arriving hospital door, to groining puncture and to vascular reperfusion. Secondary endpoints were the functional outcomes evaluated by 90-day modified Rankin scale (mRS) score. Results In total, the times from onset to reperfusion (OTR, median 356 min vs. 310 min, p = 0.041) and onset to door (OTD, median 238 min vs. 167 min, p = 0.017) were prolonged in the pandemic group compared to the pre-pandemic group, and the delay continue in the post-epidemic period. In the subgroup analysis, the time from door to imaging (DTI) was significantly prolonged during the pandemic period. Interestingly, the prolonged DTI was corrected in the directly admitted subgroup during post-epidemic period. In addition, the functional outcomes showed no significant differences across the three periods. Conclusions Total time and prehospital time were prolonged during the pandemic and post-epidemic periods. Urgent public education and improved in-hospital screening processes are necessary to decrease time delays.


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