Comparison of prehospital triage and five-level triage system at the emergency department

Prehospital triage in emergency medical services system: A scoping review

BACKGROUND

During the prehospital phase, paramedics consider patients' condition according to illness, injury, disease and decide on transport to an appropriate hospital according to severity. This can affect patient survival and treatment prognosis, because despite intervention at this early stage, problems such as incorrect triage of severity and inappropriate hospital selection may occur, indicating a need for improvement in the process.

PURPOSE

The aim of this review is to identify the overall trend of research conducted on prehospital triage by analyzing the emergency medical services system and presenting future studies to practitioners and researchers.

METHODS

A scoping review was conducted of existing literature on research trends in relation to prehospital triage. The studies reviewed were identified using electronic databases such as PubMed, CINAHL, Cochrane Library, Web of Science, and Scopus.

RESULTS

Ninety-eight documents were finally selected and analyzed that focused on prehospital triage status, process accuracy, tools, guidelines, and protocols.

CONCLUSION

Research is proposed that focuses on various non-traumatic patient types, prehospital triage education, and development of training programs to reduce errors in the emergency patient handover process between prehospital and hospital health professionals and to improve patient health and quality of life.

Use of the Braden Scale to Predict Injury Severity in Mass Burn Casualties

Background

Mass burn casualties impose an enormous burden on triage systems. The triage capacity of the Braden Scale for detecting injury severity has not been evaluated in mass burn casualties.

Material/Methods

The New Injury Severity Score (NISS) was used to dichotomize the injury severity of patients. The Braden Scale and other potentially indicative measurement tools were evaluated using univariate analysis and multivariate logistic regression. The relationships between the Braden Scale and other continuous variables with injury severity were further explored by correlation analysis and fitted with regression models. Receiver operating characteristic (ROC) curve analysis was used to validate triage capacity and compare prognostic accuracy.

Results

A total of 160 hospitalized patients were included in our study; 37 were severely injured, and 123 were not. Injury severity was independently associated with the Numerical Rating Scale (adjusted OR, 1.816; 95% CI, 1.035–3.187) and Braden Scale (adjusted OR, 0.693; 95% CI, 0.564–0.851). The ROC curve of the fitted quadratic model of the Braden Scale was 0.896 (0.840–0.953), and the cut-off value was 17. The sensitivity was 81.08% (64.29–91.44%) and the specificity was 82.93% (74.85–88.89%). Comparison of ROC curves demonstrated an infinitesimal difference between the Braden Scale and NISS for predicting 30-day hospital discharge (Z=0.291, P=0.771) and Intensive Care Unit admission (Z=2.016, P=0.044).

Conclusions

The Braden Scale is a suitable triage tool for predicting injury severity and forecasting disability-related outcomes in patients affected by mass burn casualty incidents.

Comparative Analysis Of Triage Systems At Emergency Departments Of Different Countries: Implementation In Kazakhstan

Medical sorting is aimed at assessment of disease severity and has to be carried out within a short time to determine the priorities for patient care and transportation to the most appropriate place for future treatment. The goal of this study was to provide an integrative review by analyzing the publications on the most common triage systems worldwide in order to select and implement the most reliable system at emergency departments. We searched for publications relevant to our comparative analysis in evidence-based medicine databases. A total of 1,740 literary sources were identified, of which 42 were selected for analysis. Comparative analysis of different triage systems may help implementing the most efficient system in Kazakhstan. The Emergency Severity Index is considered the most reliable and accurate tool used in international practice, and it could provide a basis for introduction of triage system at emergency departments in Kazakhstan.

Time consumption for non-conveyed patients within emergency medical services (EMS): A one-year prospective descriptive and comparative study in a region of Sweden

INTRODUCTION

Over time, ambulance assignments have increased in number both nationally and internationally, and a substantial proportion of patients encountered by emergency medical services are assessed as not being in need of services. Non-conveying patients has become a way for emergency medical services clinicians to meet this increasing workload. It has been shown that ambulances can be made available sooner if patients are non-conveyed, but there is no previous research describing the factors that influence the non-conveyance time.

STUDY OBJECTIVE

To describe ambulance time consumption and the factors that influence time consumption when patients are non-conveyed.

METHODS

A prospective observational review of 2615 non-conveyed patients' ambulance and hospital medical records was conducted using a consecutive sample. Data were analysed with the Kruskal-Wallis test, Mann-Whitney U test and Spearman's rank correlation (rho) for linear correlations.

RESULTS

The mean NC time for all ambulance assignments during the study period was 26 minutes, with a median of 25 minutes. The shortest NC time was 4 minutes, and the longest NC time was 73 minutes. NC times were significantly faster during the day than at night.

CONCLUSIONS

This study provides new knowledge about time consumption when patients are non-conveyed. Although there are time differences when patients are non-conveyed, the differences observed in this study are small and not of clinical value. Ambulances will most often become available sooner if patients are non-conveyed. Although patients might be eligible for non-conveyance, policy-makers might have to decide when it is appropriate to non-convey patients from time, resource, patient safety and patient-centred care perspectives.

Mass Casualty Incident Management for Resource-Limited Settings: Lessons From Central Haiti

OBJECTIVE

Mass casualty incidents (MCIs) have gained increasing attention in recent years due multiple high-profile events. MCI preparedness improves the outcomes of trauma victims, both in the hospital and prehospital settings. Yet most MCI protocols are designed for high-income countries, even though the burden of mass casualty incidents is greater in low-resource settings.

RESULTS

Hôpital Universitaire de Mirebalais (HUM), a 300-bed academic teaching hospital in central Haiti, developed MCI protocols in an iterative process after a large MCI in 2014. Frequent MCIs from road traffic collisions allowed protocol refinement over time. HUM's protocols outline communication plans, triage, schematics for reorganization of the emergency department, clear delineation of human resources, patient identification systems, supply chain solutions, and security measures for MCIs. Given limited resources, protocol components are all low-cost or cost-neutral. Unique adaptations include the use of 1) social messaging for communication, 2) mass casualty carts for rapid deployment of supplies, and 3) stickers for patient identification, templated orders, and communication between providers.

CONCLUSION

These low-cost solutions facilitate a systematic response to MCIs in a resource-limited environment and help providers focus on patient care. These interventions were well received by staff and are a potential model for other hospitals in similar settings.

Impact of the Coronavirus Disease 2019 Pandemic on an Emergency Department Service: Experience at the Largest Tertiary Center in Taiwan

Purpose

Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) is an emerging contagious pathogen that has caused community and nosocomial infections in many countries. This study aimed to evaluate the impact of Coronavirus disease 2019 (COVID-19) on emergency services of the largest medical center in Taiwan by comparing emergency department (ED) usage, turnover, and admission rates before the COVID-19 outbreak with those during the outbreak.

Materials and Methods

A retrospective cohort study was conducted in the ED of the largest tertiary medical center in Taiwan. Trends of adult, non-trauma patients who visited the ED during February-April 2019 were compared with those during February-April 2020. The number of visits, their dispositions, crowding parameters, and turnover rates were analyzed. The primary outcome was the change in ED attendance between the two periods. The secondary outcomes were changes in hospital admission rates, crowding parameters, and turnover rates.

Results

During the outbreak, there were decreased non-trauma ED visits by 33.45% (p < 0.001) and proportion of Taiwan Triage and Acuity Scale (TTAS) 3 patients (p=0.02), with increased admission rates by 4.7% (p < 0.001). Crowding parameters and turnover rate showed significant improvements.

Conclusion

Comparison of periods before and during the COVID-19 outbreak showed an obvious decline in adult, non-trauma ED visits. The reduction in TTAS 3 patient visits and the increased hospital admission rates provide references for future public-health policy-making to optimise emergency medical resource allocations globally.

Developing and validating a model for predicting 7-day mortality of patients admitted from the emergency department: an initial alarm score by a prospective prediction model study

OBJECTIVES

To set up a prediction model for the 7-day in-hospital mortality of patients admitted from the emergency department (ED) because it is high but no appropriate initial alarm score is available.

DESIGN

This is a prospective cohort study for prediction model development.

SETTING

In a tertiary referred hospital in northern Taiwan.

PARTICIPANTS

ED-admitted medical patients in hospitalist care wards were enrolled during May 2010 to October 2016. Two-thirds of them were randomly assigned to a derivation cohort for development of the model and cross-validation was performed in the validation cohort.

PRIMARY OUTCOME MEASURED

7-day in-hospital mortality.

RESULTS

During the study period, 8649 patients were enrolled for analysis. The mean age was 71.05 years, and 51.91% were male. The most common admission diagnoses were pneumonia (36%) and urinary tract infection (20.05%). In the derivation cohort, multivariable Cox proportional hazard regression revealed that a low Barthel Index Score, triage level 1 at the ED, presence of cancer, metastasis and admission diagnoses of pneumonia and sepsis were independently associated with 7 days in-hospital mortality. Based on the probability developed from the multivariable model, the area under the receiver operating characteristic curve in the derivation group was 0.81 (0.79-0.85). The result in the validation cohort was comparable. The prediction score modified by the six independent factors had high sensitivity of 88.03% and a negative predictive value of 99.51% for a cut-off value of 4, whereas the specificity and positive predictive value were 89.61% and 10.55%, respectively, when the cut-off value was a score of 6.

CONCLUSION

The 7-day in-hospital mortality in the hospitalist care ward is 2.8%. The initial alarm score could help clinicians to prioritise or exclude patients who need urgent and intensive care.

Quantifying Dynamic Flow of Emergency Department (ED) Patient Managements: A Multistate Model Approach

Background

Emergency department (ED) crowding and prolonged lengths of stay continue to be important medical issues. It is difficult to apply traditional methods to analyze multiple streams of the ED patient management process simultaneously. The aim of this study was to develop a statistical model to delineate the dynamic patient flow within the ED and to analyze the effects of relevant factors on different patient movement rates.

Methods

This study used a retrospective cohort available with electronic medical data. Important time points and relevant covariates of all patients between January and December 2013 were collected. A new five-state Markov model was constructed by an expert panel, including three intermediate states: triage, physician management, and observation room and two final states: admission and discharge. A day was further divided into four six-hour periods to evaluate dynamics of patient movement over time.

Results

A total of 149,468 patient records were analyzed with a median total length of stay being 2.12 (interquartile range = 6.51) hours. The patient movement rates between states were estimated, and the effects of the age group and triage level on these movements were also measured. Patients with lower acuity go home more quickly (relative rate (RR): 1.891, 95% CI: 1.881–1.900) but have to wait longer for physicians (RR: 0.962, 95% CI: 0.956–0.967) and admission beds (RR: 0.673, 95% CI: 0.666–0.679). While older patients were seen more quickly by physicians (RR: 1.134, 95% CI: 1.131–1.139), they spent more time waiting for the final state (for admission RR: 0.830, 95% CI: 0.821–0.839; for discharge RR: 0.773, 95% CI: 0.769–0.776). Comparing the differences in patient movement rates over a 24-hour day revealed that patients wait longer before seen by physicians during the evening and that they usually move from the ED to admission afternoon. Predictive dynamic illustrations show that six hours after the patients' entry, the probability of still in the ED system ranges from 28% in the evening to 38% in the morning.

Conclusions

The five-state model well described the dynamic ED patient flow and analyzed the effects of relevant influential factors at different states. The model can be used in similar medical settings or incorporate different important covariates to develop individually tailored approaches for the improvement of efficiency within the health professions.

The Korean Triage and Acuity Scale: associations with admission, disposition, mortality and length of stay in the emergency department

OBJECTIVE

The Korean Triage and Acuity Scale (KTAS) was implemented in our emergency department (ED) in May 2016 and is fully integrated into the electronic medical record (EMR) system. Our objective was to determine whether the KTAS is associated with changes in admissions to the hospital, admission disposition, inpatient mortality and length of stay (LOS).

DESIGN

Quasi-experimental, uncontrolled before-and-after study.

SETTING

The urban tertiary teaching hospital with 1100 beds and receives approximately annual 90 000 ED visits.

PARTICIPANTS

122 370 patients who visited the ED during the before-and-the after period.

INTERVENTIONS

ED staff were educated on the KTAS for 1 month, after which the KTAS evaluation period began. Admission, disposition, mortality and LOS were compared between the 'before' period (1 June 2015 to 30 April 2016) and the 'after' period (1 June 2016 to 30 April 2017).

MAIN OUTCOME MEASURES

Admissions to the hospital, admission disposition, inpatient mortality and LOS.

RESULTS

A total of 59 220 and 63 150 patients were included in the before-and-after periods of KTAS implementation, respectively. The pattern of admission and disposition changed significantly after implementation of the KTAS. The mean LOS was 343 min (standard deviation [SD] = 432 min) during the before period, which significantly decreased to 289 min (SD = 333 min) after implementation (P < 0.001). The total mortality rate was significantly reduced after implementation of the KTAS (213 (0.36%) vs. 179 (0.28%), P = 0.020).

CONCLUSION

Implementation of the KTAS changed admission and disposition patterns and reduced the LOS and mortality in the ED.

Comparison between simple triage and rapid treatment and Taiwan Triage and Acuity Scale for the emergency department triage of victims following an earthquake-related mass casualty incident: a retrospective cohort study

BACKGROUND

Triage plays a crucial role in the emergency department (ED) management of mass casualty incidents (MCIs) when resources are limited. This study aimed to compare the performance of simple triage and rapid treatment (START) with that of the Taiwan Triage and Acuity Scale (TTAS) for the ED triage of victims following an earthquake-related MCI.

METHODS

We retrospectively reviewed the records of victims presenting at our ED with earthquake-related injuries within 24 h of a large-scale earthquake. TTAS was initially used at our ED for this event, and START was performed by retrospectively reviewing the patient records in a blinded manner. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of START and TTAS were determined for predicting ED discharge.

RESULTS

We enrolled 105 patients (predominantly women, 60.0%; median age, 45.0 years) in this study; most of them presented with traumatic injuries and were initially triaged as TTAS level III (78.1%), followed by TTAS level II (11.4%). Although the majority of the victims (81.0%) were discharged, four deaths occurred. A moderate agreement in differentiating emergency from nonemergency patients was observed between START and TTAS. Furthermore, both the triage systems showed similar predictions for ED disposition (START AUC/sensitivity/specificity: 0.709/82.35%/55.00%; TTAS AUC/sensitivity/specificity: 0.709/90.59%/45.00%).

CONCLUSIONS

The present study demonstrated that START and TTAS have similar triage accuracy and ability to predict ED disposition. Our findings demonstrate that START may be used as an alternative to TTAS for the ED triage of victims following earthquake-related MCIs.

Validation of the five-tier Taiwan Triage and Acuity Scale for prehospital use by Emergency Medical Technicians

OBJECTIVES

This study aimed to determine the inter-rater reliability of the five-level Taiwan Triage and Acuity Scale (TTAS) when used by emergency medical technicians (EMTs) and triage registered nurses (TRNs). Furthermore, it sought to validate the prehospital TTAS scores according to ED hospitalisation rates and medical resource consumption.

METHODS

This was a prospective observational study. After training in five-level triage, EMTs triaged patients arriving to the ED and agreement with the nurse triage (TRN) was assessed. Subsequently, these trained research EMTs rode along on ambulance calls and assigned TTAS scores for each patient at the scene, while the on-duty EMTs applied their standard two-tier prehospital triage scale and followed standard practice, blinded to the TTAS scores. The accuracy of the TTAS scores in the field for prediction of hospitalisation and medical resource consumption were analysed using logistic regression and a linear model, respectively, and compared with the accuracy of the current two-tier prehospital triage scale.

RESULTS

After EMT's underwent initial training in five-level TTAS, inter-rater agreement between EMTs and TRNs for triage of ED patients was very good (κw=0.825, CI 0.750 to 0.900). For the outcome of hospitalisation, TTAS five-level system (Akaike's Information Criteria (AIC)=486, area under the curve (AUC)=0.75) showed better discrimination compared with TPTS two-level system (AIC=508, AUC=0.66). Triage assignments by the EMTs using the the five-level TTAS was linearly associated with hospitalisation and medical resource consumption.

CONCLUSIONS

A five-level prehospital triage scale shows good inter-rater reliability and superior discrimination compared with the two-level system for prediction of hospitalisation and medical resource requirements.

A Multicenter Observational Prospective Cohort Study of Association of the Prehospital National Early Warning Score 2 and Hospital Triage with Early Mortality

Aim of the Study

To evaluate the ability of the prehospital National Early Warning Score 2 scale (NEWS2) to predict early mortality (within 48 hours) after the index event based on the triage priority assigned for any cause in the emergency department.

Methods

This is a multicenter longitudinal observational cohort study on patients attending Advanced Life Support units and transferred to the emergency department of their reference hospital. We collected demographic, physiological, and clinical variables, main diagnosis, and hospital triage level as well as mortality. The main outcome variable was mortality from any cause within two days of the index event.

Results

Between April 1 and November 30, 2018, a total of 1054 patients were included in our study. Early mortality within the first 48 hours after the index event affected 55 patients (5.2%), of which 23 cases (41.8%) had causes of cardiovascular origin. In the stratification by triage levels, the AUC of the NEWS2 obtained for short-term mortality varied between 0.77 (95% CI: 0.65-0.89) for level I and 0.94 (95% CI: 0.79-1) for level III.

Conclusions

The Prehospital Emergency Medical Services should evaluate the implementation of the NEWS2 as a routine evaluation, which, together with the structured hospital triage system, effectively serves to predict early mortality and detect high-risk patients.

Initial assessment, level of care and outcome among children who were seen by emergency medical services: a prospective observational study

Background

The assessment of children in the Emergency Medical Service (EMS) is infrequent representing 5.4% of the patients in an urban area in the western part of Sweden. In Sweden, patients are assessed on scene by an EMS nurse whom independently decides on interventions and level of care. To aid the EMS nurse in the assessment a triage instrument, Rapid Emergency Triage and Treatment System-paediatrics (RETTS-p) developed for Emergency Department (ED) purpose has been in use the last 5 years. The aim of this study was to evaluate the EMS nurse assessment, management, the utilisation of RETTS-p and patient outcome.

Methods

A prospective, observational study was performed on 651 children aged < 16 years from January to December 2016. Statistical tests used in the study were Mann-Whitney U test, Fisher’s exact test and Spearman’s rank statistics.

Results

The dispatch centre indexed life-threatening priority in 69% of the missions but, of all children, only 6.1% were given a life threatening RETTS-p red colour by the EMS nurse. A total of 69.7% of the children were transported to the ED and, of these, 31.7% were discharged without any interventions. Among the non-conveyed patients, 16 of 197 (8.1%) visited the ED within 72 h but only two were hospitalised. Full triage, including five out of five vital signs measurements and an emergency severity index, was conducted in 37.6% of all children. A triage colour was not present in 146 children (22.4%), of which the majority were non-conveyed. The overall 30-day mortality rate was 0.8% (n = 5) in children 0–15 years.

Conclusions

Despite the incomplete use of all vital signs according to the RETTS-p, the EMS nurse assessment of children appears to be adapted to the clinical situation in most cases and the patients appear to be assessed to the appropriate level of care but indicating an over triage. It seems that the RETTS-p with full triage is used selectively in the pre-hospital assessment of children with a risk of death during the first 30 days of less than 1%.