Dataset Information

Factors associated with EMS on-scene time and its regional difference in road traffic injuries: a population-based observational study.

ABSTRACT:

Background

The outcome of road traffic injury (RTI) is determined by duration of prehospital time, patient's demographics, and the type of injury and its mechanism. During the emergency medical service (EMS) prehospital time interval, on-scene time should be minimized for early treatment. This study aimed to examine the factors influencing on-scene EMS time among RTI patients.

Methods

We evaluated 19,141 cases of traffic trauma recorded between April 2014 and March 2020 in the EMS database of the Nara Wide Area Fire Department and the prehospital database of the emergency Medical Alliance for Total Coordination of Healthcare (e-MATCH). To examine the association of the number of EMS phone calls until hospital acceptance, age ≥65 years, high-risk injury, vital signs, holiday, and nighttime (0:00-8:00) with on-scene time, a generalized linear mixed model with random effects for four study regions was conducted.

Results

EMS phone calls were the biggest factor, accounting for 5.69 minutes per call, and high-risk injury accounted for an additional 2.78 minutes. Holiday, nighttime, and age ≥65 years were also associated with increased on-scene time, but there were no significant vital sign variables for on-scene time, except for the level of consciousness. Regional differences were also noted based on random effects, with a maximum difference of 2 minutes among regions.

Conclusions

The number of EMS phone calls until hospital acceptance was the most significant influencing factor in reducing on-scene time, and high-risk injury accounted for up to an additional 2.78 minutes. Considering these factors, including regional differences, can help improve the regional EMS policies and outcomes of RTI patients.

SUBMITTER: Ito S

PROVIDER: S-EPMC9479253 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Factors associated with EMS on-scene time and its regional difference in road traffic injuries: a population-based observational study.

Ito Shingo S Asai Hideki H Kawai Yasuyuki Y Suto Shunji S Ohta Sachiko S Fukushima Hidetada H

BMC emergency medicine 20220915 1

<h4>Background</h4>The outcome of road traffic injury (RTI) is determined by duration of prehospital time, patient's demographics, and the type of injury and its mechanism. During the emergency medical service (EMS) prehospital time interval, on-scene time should be minimized for early treatment. This study aimed to examine the factors influencing on-scene EMS time among RTI patients.<h4>Methods</h4>We evaluated 19,141 cases of traffic trauma recorded between April 2014 and March 2020 in the EMS ...[more]

PMID: 36109716

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Project description:ObjectivesEvery day, an average of 3,400 deaths and tens of millions of injuries occur as a result of traffic accidents. This study aims to model and validate road traffic injury (RTI) times series, specifically considering gender.Study designTime trend studies of monthly road traffic injuries (RTI) in Iran from March 2005 to February 2016, as well as those of males and females from March 2009 to February 2016 were performed.MethodsThe seasonal auto-regressive integrated moving average method (SARIMA) was employed to predict RTI time series. The final model was selected from various SARIMA models based on the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). To examine whether the residuals were white noise, the Ljung-Box (LB) test and residuals plots were used for un-correlation, and the zero mean and stationarity, respectively. Additionally, smoothing methods were utilized to validate the SARIMA models for fitting and out-of-range prediction of the time series models under study. The sample auto-correlation function (ACF) and the partial autocorrelation function (PACF) with 20 lags were employed to determine the order of models and to ascertain if the residuals of the model were uncorrelated.ResultsBased on the obtained results, SARIMA (2,1,0)(0,1,1)12, SARIMA (0,1,1)(0,1,1)12, SARIMA (1,1,1)(0,0,1)12, and SARIMA (2,0,0)(1,0,0)12 were chosen for the time series including incidence rates of total road traffic injuries (IRTI), IRTI of males, females, and males-to-females, respectively. The AIC values were -87.57, 413.38, -732.91, and -85.32, respectively. The LB test for the residuals of the time series models of (0.539) IRTI, (0.3) IRTI of males, (0.23) females, and (0.237) males-to-females indicated that residuals were uncorrelated. Furthermore, prediction values for the next 24 months (2016 to 2018) showed no decline in the incidence rate of male and female traffic injuries. Results of the predictions using exponential smoothing methods indicated out-of-range prediction validity of the SARIMA models.ConclusionThis study exemplified the high efficiency of SARIMA models in predicting road traffic injuries (RTIs). Based on observations, the IRTI mean in Iran was 35.57 in 2016. The predicted values of the IRTI for 2016-2018 by the SARIMA model showed no decreasing trend. During the studied period, the observed values of IRTI for males were two to three times the female values. Thus, prediction of RTI can provide a useful tool for traffic safety policymaking by simulating interrupted time series when applying new traffic enforcement interventions and regulations in the future. Additionally, IRTI analysis of males and females showed that men had a non-increasing trend but higher incidence of traffic injuries, whereas the IRTI for women revealed an increasing trend from 2009 to 2012 with a lower incidence of injuries. This growth could be attributed to the impact of increased outdoor activities of women and the increased number of issued driving licenses in the period of 2009-2012.

Project description:BackgroundRoad traffic law enforcement was implemented on 1st April 2011 (the first intervention) and traffic ticket fines have been increased on 1st March 2016 (the second intervention) in Iran. The aim of the current study was to evaluate the effects of the law enforcement on reduction in the incidence rate of road traffic fatality (IRRTF), the incidence rate of road traffic injuries (IRRTI) and the incidence rate of rural road traffic offenses (IRRRTO) in Iran.MethodsInterrupted time series analysis was conducted to evaluate the impact of law enforcement and increased traffic tickets fines. Monthly data of fatality on urban, rural and local rural roads, injuries with respect to gender and traffic offenses namely speeding, illegal overtaking and tailgating were investigated separately for the period 2009-2016.ResultsResults showed a reduction in the incidence rate of total road traffic fatality (IRTRTF), the incidence rate of rural road traffic fatality (IRRRTF) and the incidence rate of urban road traffic fatality (IRURTF) by -21.44% (-39.3 to -3.59, 95% CI), -21.25% (-31.32 to -11.88, 95% CI) and -26.75% (-37.49 to -16, 95% CI) through the first intervention which resulted in 0.383, 0.255 and 0.222 decline in casualties per 100 000 population, respectively. Conversely, no reduction was found in the incidence rate of local rural road traffic fatality (IRLRRTF) and the IRRTI. Second intervention was found to only affect the IRURTF with -26.75% (-37.49 to -16, 95% CI) which led to 0.222 casualties per 100 000 population. In addition, a reduction effect was observed on the incidence rate of illegal overtaking (IRIO) and the incidence rate of speeding (IRS) with -42.8% (-57.39 to -28.22, 95% CI) and -10.54% (-21.05 to -0.03, 95% CI which implied a decrease of 415.85 and 1003.8 in monthly traffic offenses per 100 000 vehicles), respectively.ConclusionTime series analysis suggests a decline in IRTRTF, IRRRTF, and IRURTF caused by the first intervention. However, the second intervention found to be only effective in IRURTF, IRIO, and IRS with the implication that future initiatives should be focused on modifying the implementation of the traffic interventions.

Project description:BackgroundProlonged prehospital time is a major global problem in the emergency medical system (EMS). Although factors related to prolonged on-scene times (OSTs) have been reported in patients with trauma and critical medical conditions, those in patients with minor diseases or injuries remain unclear. We examined factors associated with prolonged OSTs in patients with minor diseases or injuries.MethodsThis population-based observational study used the ambulance transportation and request call record databases of the Higashihiroshima Fire Department, Japan, between January 1, 2016, and December 31, 2022. The participants were patients with minor diseases or injuries during the study period. We performed a multivariable logistic regression analysis with robust error variance to examine the association between patient age, sex, severity, accident type, date and time of ambulance call, and the coronavirus disease 2019 (COVID-19) pandemic with prolonged OSTs. Prolonged OST was defined as ≥ 30 min from the ambulance arrival at the scene to departure.ResultsOf the 60,309 people transported by ambulance during the study period, 20,069 with minor diseases or injuries were included in the analysis. A total of 1,241 patients (6.2%) experienced prolonged OSTs. Fire accidents (adjusted odds ratio [aOR]: 7.77, 95% confidence interval [CI]: 3.82-15.79), natural disasters (aOR: 28.52, 95% CI: 2.09-389.76), motor vehicle accidents (aOR: 1.63, 95% CI: 1.30-2.06), assaults (aOR: 2.91, 95% CI: 1.86-4.53), self-injuries (aOR: 5.60, 95% CI: 3.37-9.32), number of hospital inquiries ≥ 4 (aOR: 77.34, 95% CI: 53.55-111.69), and the COVID-19 pandemic (aOR: 2.01, 95% CI: 1.62-2.50) were associated with prolonged OSTs. Moreover, older and female patients had prolonged OSTs (aOR: 1.18, 95% CI: 1.01-1.36 and aOR: 1.12, 95% CI: 1.08-1.18, respectively).ConclusionsOlder age, female sex, fire accidents, natural disasters, motor vehicle accidents, assaults, self-injuries, number of hospital inquiries ≥ 4, and the COVID-19 pandemic influenced prolonged OSTs among patients with minor diseases or injuries. To improve community EMS, we should reconsider how to intervene with potentially modifiable factors, such as EMS personnel performance, the impact of the presence of allied services, hospital patient acceptance systems, and cooperation between general emergency and psychiatric hospitals.

Dataset Information

Factors associated with EMS on-scene time and its regional difference in road traffic injuries: a population-based observational study.

Background

Methods

Results

Conclusions

Publications

Factors associated with EMS on-scene time and its regional difference in road traffic injuries: a population-based observational study.

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