Prehospital Application of the Canadian Triage and Acuity Scale by Emergency Medical Services

Drinking from the Holy Grail-Does a Perfect Triage System Exist? And Where to Look for It?

The Emergency Department (ED) is a facility meant to treat patients in need of medical assistance. The choice of triage system hugely impactsed the organization of any given ED and it is important to analyze them for their effectiveness. The goal of this review is to briefly describe selected triage systems in an attempt to find the perfect one. Papers published in PubMed from 1990 to 2022 were reviewed. The following terms were used for comparison: "ED" and "triage system". The papers contained data on the design and function of the triage system, its validation, and its performance. After studies comparing the distinct means of patient selection were reviewed, they were meant to be classified as either flawed or non-ideal. The validity of all the comparable segregation systems was similar. A possible solution would be to search for a new, measurable parameter for a more accurate risk estimation, which could be a game changer in terms of triage assessment. The dynamic development of artificial intelligence (AI) technologies has recently been observed. The authors of this study believe that the future segregation system should be a combination of the experience and intuition of trained healthcare professionals and modern technology (artificial intelligence).

Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage

OBJECTIVE

The manual recording of electronic health records (EHRs) by clinicians in the emergency department (ED) is time-consuming and challenging. In light of recent advancements in large language models (LLMs) such as GPT and BERT, this study aimed to design and validate LLMs for automatic clinical diagnoses. The models were designed to identify 12 medical symptoms and 2 patient histories from simulated clinician-patient conversations within 6 primary symptom scenarios in emergency triage rooms.

MATERIALS AND METHOD

We developed classification models by fine-tuning BERT, a transformer-based pre-trained model. We subsequently analyzed these models using eXplainable artificial intelligence (XAI) and the Shapley additive explanation (SHAP) method. A Turing test was conducted to ascertain the reliability of the XAI results by comparing them to the outcomes of tasks performed and explained by medical workers. An emergency medicine specialist assessed the results of both XAI and the medical workers.

RESULTS

We fine-tuned four pre-trained LLMs and compared their classification performance. The KLUE-RoBERTa-based model demonstrated the highest performance (F1-score: 0.965, AUROC: 0.893) on human-transcribed script data. The XAI results using SHAP showed an average Jaccard similarity of 0.722 when compared with explanations of medical workers for 15 samples. The Turing test results revealed a small 6% gap, with XAI and medical workers receiving the mean scores of 3.327 and 3.52, respectively.

CONCLUSION

This paper highlights the potential of LLMs for automatic EHR recording in Korean EDs. The KLUE-RoBERTa-based model demonstrated superior classification performance. Furthermore, XAI using SHAP provided reliable explanations for model outputs. The reliability of these explanations was confirmed by a Turing test.

Building a Machine Learning-based Ambulance Dispatch Triage Model for Emergency Medical Services

Background

In charge of dispatching the ambulances, Emergency Medical Services (EMS) call center specialists often have difficulty deciding the acuity of a case given the information they can gather within a limited time. Although there are protocols to guide their decision-making, observed performance can still lack sensitivity and specificity. Machine learning models have been known to capture complex relationships that are subtle, and well-trained data models can yield accurate predictions in a split of a second.

Methods

In this study, we proposed a proof-of-concept approach to construct a machine learning model to better predict the acuity of emergency cases. We used more than 360,000 structured emergency call center records of cases received by the national emergency call center in Singapore from 2018 to 2020. Features were created using call records, and multiple machine learning models were trained.

Results

A Random Forest model achieved the best performance, reducing the over-triage rate by an absolute margin of 15% compared to the call center specialists while maintaining a similar level of under-triage rate.

Conclusions

The model has the potential to be deployed as a decision support tool for dispatchers alongside current protocols to optimize ambulance dispatch triage and the utilization of emergency ambulance resources.

Perspective of Emergency Pediatric Nurses Triaging Pediatric Patients in the Emergency Department: A Phenomenographic Study

INTRODUCTION

Triage, a process to determine illness severity, is implemented by emergency nurses to prioritize treatment and provide care for a maximum number of patients using limited resources. The competency of emergency nurses and a highly reliable triage are crucial for the provision of emergency care. Pediatric patients are different from adult patients in certain aspects, such as growth-phase characteristics, communication ability, and the onset of disease; these aspects often pose challenges during their primary triage. This study explored how emergency nurses triage pediatric patients using the Korean Triage and Acuity Scale.

METHODS

Eleven emergency nurses (N = 11) working in the pediatric emergency department of a university hospital in Seoul, South Korea, were recruited using purposive sampling methods. Phenomenography was used to investigate the strategies by which these nurses use the Korean Triage and Acuity Scale to triage pediatric patients.

RESULTS

The findings comprised 2 descriptive categories: 6 approaches on how to triage patients (categories of how) and 3 strategies (categories of what) used by pediatric emergency nurses to triage pediatric patients with the Korean Triage and Acuity Scale.

DISCUSSION

The experience and proficiency of emergency nurses are essential factors for the effective triage of pediatric patients. Our findings qualitatively elucidate different ways of understanding pediatric triage and indicate the need for pediatric triage education programs.

Impact of coronavirus disease 2019 on the mortality of patients who received emergency transportation: a population-based cross-sectional study

Aim

The spread of coronavirus disease 2019 (COVID-19) has a widespread impact on emergency medical care systems. However, its effects on the mortality of emergency transportation patients are unclear. This population-based, cross-sectional study investigated how COVID-19 impacted the mortality and outcomes of emergency transportation patients.

Methods

We compared mortality in the emergency department and at day 21 after an emergency visit for patients transported by ambulance to medical facilities in the Osaka Prefecture, Japan, between January 29 and December 31, 2020 (first pandemic year) and between January 29 and December 31, 2019 (immediate pre-pandemic year; 804,718 patients in total), using multivariable analysis to adjust for potential confounders.

Results

During the first pandemic year, 50,446 fewer patients received emergency transportation compared with the immediate prepandemic year. Emergency department deaths increased by 603 during the first pandemic year (4,922 versus 4,319 deaths) and 640 within 21 days (14,569 versus 13,929 deaths). Multivariable analysis revealed an association between the first pandemic year and increased mortality rates among patients given emergency transportation compared with the immediate prepandemic year (odds ratio for emergency department deaths 1.31; 95% confidence interval 1.26-1.38; odds ratio for deaths within 21 days 1.17; 95% confidence interval 1.14-1.20).

Conclusions

The study results indicate that the spread of COVID-19 impacted the mortality of patients who received emergency transportation. Further studies are expected to clarify the impact of COVID-19 on emergency medical care systems.

Accuracy of Trauma on Scene Triage Screening Tool (Shock Index, Reverse Shock Index Glasgow Coma Scale and National Early Warning Score) to Predict the Severity of Emergency Department Triage: A Retrospective Cross-Sectional Study

Introduction

Prehospital trauma care includes on-scene assessments, essential treatment, and facilitating transfer to an appropriate trauma center to deliver optimal care for trauma patients. While the Simple Triage and Rapid Treatment (START), Revised Triage Sieve (rTS), and National Early Warning Score (NEWS) tools are user-friendly in a prehospital setting, there is currently no standardized on-scene triage protocol in Thailand Emergency Medical Service (EMS). Therefore, this study aims to evaluate the precision of these tools (SI, rSIG, and NEWS) in predicting the severity of trauma patients who are transferred to the emergency department (ED).

Methods

This study was a retrospective cross-sectional and diagnostic research conducted on trauma patients transferred by EMS to the ED of Ramathibodi Hospital, a university-affiliated super tertiary care hospital in Bangkok, Thailand, from January 2015 to September 2022. We compared the on-scene triage tool (SI, rSIG, and NEWS) and ED triage tool (Emergency Severity Index) parameters, massive transfusion protocol (MTP), and intensive care unit (ICU) admission with the area under ROC (univariable analysis) and diagnostic odds ratio (multivariable logistic regression analysis). The optimal cut-off threshold for the best parameter was determined by selecting the value that produced the highest area under the ROC curve.

Results

A total of 218 patients were traumatic patients transported by EMS to the ED, out of which 161 were classified as ESI levels 1-2, while the remaining 57 patients were categorized as levels 3-5 on the ESI triage scale. We found that NEWS was a more accurate triage tool to discriminate the severity of trauma patients than rSIG and SI. The area under the ROC was 0.74 (95% CI 0.70-0.79) (OR 18.98, 95% CI 1.06-337.25), 0.65 (95% CI 0.59-0.70) (OR 1.74, 95% CI 0.17-18.09) and 0.58 (95% CI 0.52-0.65) (OR 0.28, 95% CI 0.04-1.62), respectively (P-value <0.001). The cut point of NEWS to discriminate ESI levels 1-2 and levels 3-5 was >6 points.

Conclusion

NEWS is the best on-scene triage screening tool to predict the severity at the emergency department, massive transfusion protocol (MTP), and intensive care unit (ICU) admission compared with other triage tools SI and rSIG.

Impact of COVID-19 on Out-of-Hospital Cardiac Arrest in Korea

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a global public health crisis that has had a significant impact on emergency medical services (EMS). Several studies have reported an increase in the incidence of out-of-hospital cardiac arrest (OHCA) and a decreased survival due to COVID-19, which has been limited to a short period or has been reported in some regions. This study aimed to investigate the effect of COVID-19 on OHCA patients using a nationwide database.

METHODS

We included adult OHCA patients treated by EMS providers from January 19, 2019 to January 20, 2021. The years before and after the first confirmed case in Korea were set as the non-COVID-19 and COVID-19 periods, respectively. The main exposure of interest was the COVID-19 period, and the primary outcome was prehospital return of spontaneous circulation (ROSC). Other OHCA variables were compared before and after the COVID-19 pandemic and analyzed. We performed a multivariable logistic regression analysis to understand the independent effect of the COVID-19 period on prehospital ROSC.

RESULTS

The final analysis included 51,921 eligible patients, including 25,355 (48.8%) during the non-COVID-19 period and 26,566 (51.2%) during the COVID-19 period. Prehospital ROSC deteriorated during the COVID-19 period (10.2% vs. 11.1%, P = 0.001). In the main analysis, the adjusted odds ratios (AORs) for prehospital ROSC showed no significant differences between the COVID-19 and non-COVID-19 periods (AOR [95% confidence interval], 1.02 [0.96-1.09]).

CONCLUSION

This study found that the proportion of prehospital ROSC was lower during the COVID-19 period than during the non-COVID-19 period; however, there was no statistical significance when adjusting for potential confounders. Continuous efforts are needed to restore the broken chain of survival in the prehospital phase and increase the survival rate of OHCA patients.

Predictors of Hyperkalemia among Patients on Maintenance Hemodialysis Transported to the Emergency Department by Ambulance

BACKGROUND

Hyperkalemia is common among patients on maintenance hemodialysis (HD) and is associated with mortality. We hypothesized that clinical characteristics available at time of paramedic assessment before emergency department (ED) ambulance transport (ambulance-ED) would associate with severe hyperkalemia (K≥6 mmol/L). Rapid identification of patients who are at risk for hyperkalemia and thereby hyperkalemia-associated complications may allow paramedics to intervene in a timely fashion, including directing emergency transport to dialysis-capable facilities.

METHODS

Patients on maintenance HD from a single paramedic provider region, who had at least one ambulance-ED and subsequent ED potassium from 2014 to 2018, were examined using multivariable logistic regression to create risk prediction models inclusive of prehospital vital signs, days from last dialysis, and the presence of prehospital electrocardiogram (ECG) features of hyperkalemia. We used bootstrapping with replacement to validate each model internally, and performance was assessed by discrimination and calibration.

RESULTS

Among 704 ambulance-ED visits, severe hyperkalemia occurred in 75 (11%); 26 patients with ED hyperkalemia did not have a prehospital ECG. Younger age at transport, longer HD vintage, more days from last hemodialysis session (OR=49.84; 95% CI, 7.72 to 321.77 for ≥3 days versus HD the same day [before] ED transport), and prehospital ECG changes (OR=6.64; 95% CI, 2.31 to 19.12) were independently associated with severe ED hyperkalemia. A model incorporating these factors had good discrimination (c-statistic 0.82; 95% CI, 0.76 to 0.89) and, using a cutoff of 25% probability, correctly classified patients 89% of the time.

CONCLUSIONS

Characteristics available at the time of ambulance-ED were associated with severe ED hyperkalemia. An awareness of these associations may allow health care providers to define novel care pathways to ensure timely diagnosis and management of hyperkalemia.

Prehospital triage tools across the world: a scoping review of the published literature

Background

Accurate triage of the undifferentiated patient is a critical task in prehospital emergency care. However, there is a paucity of literature synthesizing currently available prehospital triage tools. This scoping review aims to identify published tools used for prehospital triage globally and describe their performance characteristics.

Methods

A comprehensive search was performed of primary literature in English-language journals from 2009 to 2019. Papers included focused on emergency medical services (EMS) triage of single patients. Two blinded reviewers and a third adjudicator performed independent title and abstract screening and subsequent full-text reviews.

Results

Of 1521 unique articles, 55 (3.6%) were included in the final synthesis. The majority of prehospital triage tools focused on stroke (n = 19; 35%), trauma (19; 35%), and general undifferentiated patients (15; 27%). All studies were performed in high income countries, with the majority in North America (23, 42%) and Europe (22, 40%). 4 (7%) articles focused on the pediatric population. General triage tools aggregate prehospital vital signs, mental status assessments, history, exam, and anticipated resource need, to categorize patients by level of acuity. Studies assessed the tools’ ability to accurately predict emergency department triage assignment, hospitalization and short-term mortality. Stroke triage tools promote rapid identification of patients with acute large vessel occlusion ischemic stroke to trigger timely transport to diagnostically- and therapeutically-capable hospitals. Studies evaluated tools’ diagnostic performance, impact on tissue plasminogen activator administration rates, and correlation with in-hospital stroke scales. Trauma triage tools identify patients that require immediate transport to trauma centers with emergency surgery capability. Studies evaluated tools’ prediction of trauma center need, under-triage and over-triage rates for major trauma, and survival to discharge.

Conclusions

The published literature on prehospital triage tools predominantly derive from high-income health systems and mostly focus on adult stroke and trauma populations. Most studies sought to further simplify existing triage tools without sacrificing triage accuracy, or assessed the predictive capability of the triage tool. There was no clear ‘gold-standard’ singular prehospital triage tool for acute undifferentiated patients.

Trial registration

Not applicable.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13049-022-01019-z.

Emergency nurses' triage narrative data, their uses and structure: a scoping review protocol

INTRODUCTION

The first clinical interaction most patients have in the emergency department occurs during triage. An unstructured narrative is generated during triage and is the first source of in-hospital documentation. These narratives capture the patient's reported reason for the visit and the initial assessment and offer significantly more nuanced descriptions of the patient's complaints than fixed field data. Previous research demonstrated these data are useful for predicting important clinical outcomes. Previous reviews examined these narratives in combination or isolation with other free-text sources, but used restricted searches and are becoming outdated. Furthermore, there are no reviews focused solely on nurses' (the primary collectors of these data) narratives.

METHODS AND ANALYSIS

Using the Arksey and O'Malley scoping review framework and PRISMA-ScR reporting guidelines, we will perform structured searches of CINAHL, Ovid MEDLINE, ProQuest Central, Ovid Embase and Cochrane Library (via Wiley). Additionally, we will forward citation searches of all included studies. No geographical or study design exclusion criteria will be used. Studies examining disaster triage, published before 1990, and non-English language literature will be excluded. Data will be managed using online management tools; extracted data will be independently confirmed by a separate reviewer using prepiloted extraction forms. Cohen's kappa will be used to examine inter-rater agreement on pilot and final screening. Quantitative data will be expressed using measures of range and central tendency, counts, proportions and percentages, as appropriate. Qualitative data will be narrative summaries of the authors' primary findings.

PATIENT AND PUBLIC INVOLVEMENT

No patients involved.

ETHICS AND DISSEMINATION

No ethics approval is required. Findings will be submitted to peer-reviewed conferences and journals. Results will be disseminated using individual and institutional social media platforms.

The effect of COVID-19 on emergency medical service call volumes and patient acuity: a cross-sectional study in Niagara, Ontario

Background

The COVID-19 pandemic is a major public health problem. Subsequently, emergency medical services (EMS) have anecdotally experienced fluctuations in demand, with reports across Canada of both increased and decreased demand. Our primary objective was to assess the effect of the COVID-19 pandemic on call volumes for several determinants in Niagara Region EMS. Our secondary objective was to assess changes in paramedic-assigned patient acuity scores as determined using the Canadian Triage and Acuity Scale (CTAS).

Methods

We analyzed data from a regional EMS database related to call type, volume, and patient acuity for January to May 2016–2020. We used statistical methods to assess differences in EMS calls between 2016 and 2019 and 2020.

Results

A total of 114,507 EMS calls were made for the period of January 1 to May 26 between 2016 and 2020, inclusive. Overall, the incidence rate of EMS calls significantly decreased in 2020 compared to the total EMS calls in 2016–2019. Motor vehicle collisions decreased in 2020 relative to 2016–2019 (17%), while overdoses relatively increased (70%) in 2020 compared to 2016–2019. Calls for patients assigned a higher acuity score increased (CTAS 1) (4.1% vs. 2.9%).

Conclusion

We confirmed that overall, EMS calls have decreased since the emergence of COVID-19. However, this effect on call volume was not consistent across all call determinants, as some call types rose while others decreased. These findings indicate that COVID-19 may have led to actual changes in emergency medical service demand and will be of interest to other services planning for future pandemics or further waves of COVID-19.

Validity of a five-level prehospital triage system in Japan: A cohort study

BACKGROUND

The increasing worldwide demand for ambulance transport may worsen patient prognosis due to a prolonged response time and overcrowding in the emergency department. Triage in the prehospital setting may reduce the demand for ambulance transport by advising low-acuity patients seek non-emergency medical care. In Japan, a five-level triage system that allows emergency medical services (EMS) to triage patients has been implemented since 2014. This study aimed to validate the five-level triage system.

METHODS

We conducted a retrospective cohort study in patients aged ≥16 years who were transported by EMS to a tertiary-care hospital in Japan from April 2018 to June 2018. We used admission to the intensive care unit (ICU) as the primary outcome. Our secondary outcome was overall admission. We conducted multivariable logistic regression analysis to determine the strength of association between triage acuity and admission (ICU and overall).

RESULTS

A total of 1261 patients were included in the analysis. The odds ratios of ICU admission were 9.62 (95% confidence interval: 5.66-16.3) in Level 1 and 2.93 (95% confidence interval: 1.60-5.38) in Level 2 compared with reference groups composed of Levels 4 and 5. Similar associations were found for triage acuity and overall admission.

CONCLUSIONS

Our study validates the five-level prehospital triage system for patients transported by EMS and demonstrates an association between the triage acuity and ICU admissions.

Pre-hospital triage performance and emergency medical services nurse's field assessment in an unselected patient population attended to by the emergency medical services: a prospective observational study

BACKGROUND

In Sweden, the rapid emergency triage and treatment system (RETTS-A) is used in the pre-hospital setting. With RETTS-A, patients triaged to the lowest level could safely be referred to a lower level of care. The national early warning score (NEWS) has also shown promising results internationally. However, a knowledge gap in optimal triage in the pre-hospital setting persists. This study aimed to evaluate RETTS-A performance, compare RETTS-A with NEWS and NEWS 2, and evaluate the emergency medical service (EMS) nurse's field assessment with the physician's final hospital diagnosis.

METHODS

A prospective, observational study including patients (≥16 years old) transported to hospital by the Gothenburg EMS in 2016. Three comparisons were made: 1) Combined RETTS-A levels orange and red (high acuity) compared to a predefined reference emergency, 2) RETTS-A high acuity compared to NEWS and NEWS 2 score ≥ 5, and 3) Classification of pre-hospital nurse's field assessment compared to hospital physician's diagnosis. Outcomes of the time-sensitive conditions, mortality and hospitalisation were examined. The statistical tests included Mann-Whitney U test and Fisher's exact test, and several binary classification tests were determined.

RESULTS

Overall, 4465 patients were included (median age 69 years; 52% women). High acuity RETTS-A triage showed a sensitivity of 81% in prediction of the reference patient with a specificity of 64%. Sensitivity in detecting a time-sensitive condition was highest with RETTS-A (73%), compared with NEWS (37%) and NEWS 2 (35%), and specificity was highest with NEWS 2 (83%) when compared with RETTS-A (54%). The negative predictive value was higher in RETTS-A (94%) compared to NEWS (91%) and NEWS 2 (92%). Eleven per cent of the final diagnoses were classified as time-sensitive while the nurse's field assessment was appropriate in 84% of these cases.

CONCLUSIONS

In the pre-hospital triage of EMS patients, RETTS-A showed sensitivity that was twice as high as that of both NEWS and NEWS 2 in detecting time-sensitive conditions, at the expense of lower specificity. However, the proportion of correctly classified low risk triaged patients (green/yellow) was higher in RETTS-A. The nurse's field assessment of time-sensitive conditions was appropriate in the majority of cases.

Dyadic teams and nursing care: A critical incident study of nurses in the emergency medical service

AIM AND OBJECTIVES

The aim of the study was to describe Emergency Medical Services (EMS) nurses' experiences of and coping with critical incidents, when providing nursing care as a member of a dyadic team.

BACKGROUND

Nursing care in EMS is a complex task, taking into account the physical, psychological as well as existential dimensions of the patient's suffering. In this, EMS nurses are dependent on the dyadic team. Teams in EMS are described as essential for providing safe medical care. However, nursing care also comprises relationships with patients as a means of reducing patient suffering.

DESIGN

The study has an inductive descriptive qualitative design, in adherence to the COREQ-checklist.

METHODS

A critical incident technique was used. Thirty-five EMS nurses were interviewed individually, with a focus on dyadic teams providing nursing care. The interviews were analysed with the aim of defining main areas, categories and sub-categories.

RESULTS

The experiences of critical incidents emerged to form two main areas: "Functional co-operation" and "Dysfunctional co-operation," comprising seven categories and sixteen sub-categories. Their coping with critical incidents encompassed two main areas: "Adapting oneself" and "Adapting nursing care and the colleague," comprising four categories and eight sub-categories.

CONCLUSIONS

Reflection as part of the daily practice emerges as important for the development of nursing care both in relation to individual team members and also the dyadic team as a unit. In addition, the results highlight consensus within dyadic teams regarding the objectives of nursing care, as well as the importance of defined roles.

RELEVANCE TO CLINICAL PRACTICE

This study underlines the importance of strengthening the dyadic EMS team's ability to co-operate using common goals and knowledge within clinical nursing care. The individual team members' different roles have to be explicit. In addition, clinical care has to be organised to generate preconditions for mutual performance monitoring through collegial feedback and reflection.

Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

BACKGROUND

In emergency medical services (EMSs), accurately predicting the severity of a patient's medical condition is important for the early identification of those who are vulnerable and at high-risk. In this study, we developed and validated an artificial intelligence (AI) algorithm based on deep learning to predict the need for critical care during EMS.

METHODS

We conducted a retrospective observation cohort study. The algorithm was established using development data from the Korean national emergency department information system, which were collected during visits in real time from 151 emergency departments (EDs). We validated the algorithm using EMS run sheets from two EDs. The study subjects comprised adult patients who visited EDs. The endpoint was critical care, and we used age, sex, chief complaint, symptom onset to arrival time, trauma, and initial vital signs as the predicted variables.

RESULTS

The number of patients in the development data was 8,981,181, and the validation data comprised 2604 EMS run sheets from two hospitals. The area under the receiver operating characteristic curve of the algorithm to predict the critical care was 0.867 (95% confidence interval, [0.864-0.871]). This result outperformed the Emergency Severity Index (0.839 [0.831-0.846]), Korean Triage and Acuity System (0.824 [0.815-0.832]), National Early Warning Score (0.741 [0.734-0.748]), and Modified Early Warning Score (0.696 [0.691-0.699]).

CONCLUSIONS

The AI algorithm accurately predicted the need for the critical care of patients using information during EMS and outperformed the conventional triage tools and early warning scores.

Patient characteristics, triage utilisation, level of care, and outcomes in an unselected adult patient population seen by the emergency medical services: a prospective observational study

Background

Crowding in the emergency department (ED) is a safety concern, and pathways to bypass the ED have been introduced to reduce the time to definitive care. Conversely, a number of low-acuity patients in the ED could be assessed by the emergency medical services (EMS) as requiring a lower level of care. The limited access to primary care in Sweden leaves the EMS nurse to either assess the patient as requiring the ED or to stay at the scene. This study aimed to assess patient characteristics and evaluate the initial assessment by and utilisation of the ambulance triage system and the appropriateness of non-transport decisions.

Methods

A prospective observational study including 6712 patients aged ≥16 years was conducted. The patient records with 72 h of follow-up for non-transported patients were reviewed. Outcomes of death, time-critical conditions, complications within 48 h and final hospital assessment were evaluated. The Mann-Whitney U test, Fisher’s exact test, and Spearman’s rank correlation were used for statistical analysis.

Results

The median patient age was 66 years, and the most common medical history was a circulatory diagnosis. Males received a higher priority from dispatchers and were more frequently assessed at the scene as requiring hospital care. A total of 1312 patients (19.7%) were non-transported; a history of psychiatric disorders or no medical history was more commonly noted among these patients. Twelve (0.9%) of the 1312 patients not transported were later admitted with time-critical conditions. Full triage was applied in 77.4% of the cases, and older patients were triaged at the scene as an ‘unspecific condition’ more frequently than younger patients. Overall, the 30-day mortality was 4.1% (n = 274).

Conclusions

Age, sex, medical history, and presentation all appear to influence the initial assessment. A number of patients transported to ED could be managed at a lower level of care. A small proportion of the non-transported patients were later diagnosed with a time-critical condition, warranting improved assessment tools at the scene and education of the personnel focusing on the elderly population. These results may be useful in addressing resource allocation issues aiming at increasing patient safety.

Reliability of Korean Triage and Acuity Scale: Interrater Agreement between Two Experienced Nurses by Real-Time Triage and Analysis of Influencing Factors to Disagreement of Triage Levels

BACKGROUND

All emergency centers in Korea use the Korean Triage and Acuity Scale (KTAS) as their initial triage tool. However, KTAS has been used without verification of its reliability. In this study, we assess the interrater agreement of KTAS by two independent nurses in real-time and analyse the factors which have an effect on the disagreement of KTAS levels.

METHODS

This study was a prospective observational study conducted with patients who visited an emergency department (ED). Two teams, each composed of two nurses, triaged patients and recorded KTAS level and the main complaint from the list of 167 KTAS complaints, as well as modifiers. Interrater reliability between the two nurses in each team was assessed by weighted-kappa. Pearson's χ² test was conducted to determine if there were differences between each nurse's KTAS levels, depending on whether they chose the same complaints and the same modifiers or not.

RESULTS

The two teams triaged a total of 1,998 patients who visited the ED. Weighted-kappa value was 0.772 (95% confidence interval [CI], 0.750-0.794). Patients triaged by different chosen complaints showed (38.0%) higher inconsistency rate in KTAS levels than those triaged by the same complaint (10.9%, P < 0.001). When nurses chose the same complaint and different modifiers, the ratio of different levels (50.5%) was higher than that of the same complaint and same modifier (8.1%, P < 0.001).

CONCLUSION

This study showed that KTAS is a reliable tool. Selected complaints and modifiers are confirmed as important factors for reliability; therefore, selecting them properly should be emphasized during KTAS training courses.

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%.

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

OBJECTIVE

There is lack of scientific evidence regarding the effectiveness of prehospital triage systems. This study compared the two-level Taiwan Prehospital Triage System (TPTS) with the five-level Taiwan Triage and Acuity Scale (TTAS) at ED arrival regarding the prediction of patient outcomes and the utilisation of medical resources.

DESIGN

This was a retrospective cohort study. Adult patients transported via the emergency medical service (EMS), who arrived at the ED of a medical centre in northern Taiwan during the study period were enrolled. TTAS acuity levels 1-2 were considered comparable to the designation of 'emergent' by the prehospital TPTS system. The outcomes were analysed by comparing TPTS and TTAS by acuity levels.

RESULTS

Among 4430 enrolled patients, 25.2% and 74.8% were classified as emergent and non-emergent by TPTS; 44.1% and 55.9% were classified as levels 1-2 and levels 3-5 by TTAS. Of the TPTS emergent patients, 15.2% were classified as TTAS levels 3-5, whereas 30.4% of TPTS non-emergent transports were classified as TTAS levels 1-2 at the ED. TTAS levels 1-2 showed better predictability than TPTS emergent level for hospitalisation rate with a sensitivity of 70.3% (95% CI 68.3% to 72.2%) versus 41.1% (95% CI 39.0% to 43.2%), and a negative predictive value of 74.8% (95% CI 73.4% to 76.0%) versus 62.6% (95% CI 61.7% to 63.5%).

CONCLUSION

The current prehospital triage system is insufficient and inappropriate in classifying patients transported to the ED. The present study offers supporting evidence for the introduction of a five-level triage system to prehospital EMS systems.