Revisions to the Canadian Emergency Department Triage and Acuity Scale (CTAS) Guidelines 2016

Emergency department triage decision-making by registered nurses: An instrument development study

AIM

To develop and psychometrically test the triage decision-making instrument, a tool to measure Emergency Department Registered Nurses decision-making.

DESIGN

Five phases: (1) defining the concept, (2) item generation, (3) face validity, (4) content validity and (5) pilot testing.

METHODS

Concept definition informed by a grounded theory study from which four domains emerged. Items relevant to the four domains were generated and revised. Face validity was established using three focus groups. The target population upon which the reliability and validity of the triage decision-making instrument was explored were triage registered nurses in emergency departments. Three expert judges assessed 89 items for content and domain designation using a 4-point scale. Psychometric properties were assessed by exploratory factor analysis, following which the names of the four domains were modified.

RESULTS

The triage decision-making instrument is a 22-item tool with four factors: clinical judgement, managing acuity, professional collaboration and creating space. Focus group data indicated support for the domains. Expert review resulted in 46 items with 100% agreement and 13 with 66% agreement. Fifty-nine items were distributed to a convenience sample of 204 triage nurses from six hospitals in 2019. The Kaiser-Meyer-Olkin measures indicated that the data were sufficient for exploratory factor analysis. Bartlett's test indicated patterned relationships among the items (X 2 (231) = 1156.69). An eigenvalue of >1.0 was used and four factors explained 48.64% of the variance. All factor loadings were ≥0.40. Internal consistency was demonstrated by Cronbach's alphas of .596 factor 1, .690 factor 2, .749 factor 3 and .822 for factor 4.

CONCLUSION

The triage decision-making instrument meets the criteria for face validity, content validity and internal consistency. It is suitable for further testing and refinement.

IMPACT

The instrument is a first step in quantifying triage decision-making in real-world clinical environments. The triage decision-making instrument can be used for targeted triage interventions aimed at improving throughput and staff education.

STATISTICAL SUPPORT

Dr. Tak Fung who is a member of the research team is a statistician.

STATISTICAL METHODS

Development, validation and assessment of instruments/scales. Descriptive statistics.

REPORTING METHOD

STROBE cross-sectional checklist.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

The TDI makes the complexity of triage decision-making visible. Identifying the influence of decision-making factors in addition to acuity that affect triage decisions will enable nurse managers and educators to develop targeted interventions and staff development initiatives. By extension, this will enhance patient care and safety.

Impact of triage nurses' recognition of acute coronary syndrome on patients' clinical outcomes: A retrospective study

BACKGROUND

Triage nurses' pivotal role in initial assessment makes their competence crucial. However, the specific impact on Acute Coronary Syndrome (ACS) recognition and outcomes remains unclear in Jordanian healthcare. Understanding this relationship could enhance ACS management and patient outcomes in Jordanian Emergency Departments (EDs).

OBJECTIVE

To assess how triage nurses' recognition of ACS diagnosis affects patient outcomes in Jordan.

METHODS

This retrospective study examined records of 150 ACS patients admitted to the coronary care unit (CCU). Data extraction assessed triage nurses' accuracy in recognizing ACS symptoms and the timelines for diagnosis procedures (e.g., electrocardiogram [ECG]) and treatment provision (e.g., thrombolytic) based on triage decisions. It also evaluated the impact on treatment outcomes, including length of stay in the ED and hospital. Multiple linear regression analyses quantified the influence of under-triage on treatment outcomes.

RESULTS

The sample comprised 150 patients. Most were female (78.7%), aged 45-59.9 years (37.3%). ACS classifications: unstable angina (52.0%), STEMI (38.0%), NSTEMI (10.0%). The study included a cohort of ACS patients, with findings indicating varying degrees of under-triage by triage nurses. Analysis of timelines revealed significant delays in diagnosis and treatment initiation for patients subjected to under-triage. Multiple linear regression analyses demonstrated a robust association between under-triage and prolonged time to essential treatment outcomes, including delays in physician assessment, ECG performance, thrombolytic administration, and extended ED length of stay.

CONCLUSION

Triage nurses' knowledge and competency are crucial determinants of accurate ACS recognition and subsequent clinical outcomes for patients presenting to the ED in Jordan. Investing in ongoing education and training programs for triage nurses may lead to improved ACS recognition rates and better patient outcomes in Jordanian healthcare settings.

Pediatric emergency mental health presentations during early COVID-19: Comparing virtual and in-person presentations

Purpose: Increased mental health (MH) needs during the COVID-19 pandemic led to the implementation of a novel pediatric Emergency Department Virtual Care (EDVC) service. Our study aimed to describe the pediatric MH patient population that used EDVC by comparing patient-specific factors of those who obtained services virtually to those seen in-person. Method: This retrospective chart review was conducted at a pediatric hospital in Eastern Ontario. Children and youth (aged 3-17) who received virtual or in-person emergency MH services from May to December 2020 were included. Patient demographics, clinical presentation details and disposition were compared between the virtual and in-person groups. Data was analyzed using descriptive statistics. Results: 1104 youth (96.1%) utilized the in-person ED for MH concerns; 45 (3.9%) used EDVC. In-person youth had a higher level of perceived risk (78.9% vs. 41.9%) and were more likely to present with concerns of depression, suicidal ideation, self-harm, or laceration (46.1% vs. 35.6%). Anxiety/situational crises or behavioural issues were more likely to present virtually. Eight patients (17.8%) were redirected to the ED from EDVC. Conclusions: Several patient-specific factors varied between youth seen in-person or virtually for MH concern. Study results can assist with the design and implementation of virtual MH care platforms.

FI-lab in the emergency department and adverse outcomes among acutely hospitalized older adults

BACKGROUND

The emergency department is treating a growing number of older patients with frailty, which has been linked to poorer outcomes. Urgency is generally emphasized in the emergency department based on indicators such as triage scores and early warning scores for decision-making. However, this approach may not be sufficient for frail older people. The Frailty Index-laboratory (FI-lab) has been used as a simple assessment tool for frailty, but it may also reflect disease severity and predict adverse outcomes in the emergency care setting. Therefore, we aimed to evaluate the association between FI-lab in the emergency room and adverse outcomes during hospitalization through comparison with assessments using triage and early warning scores.

METHODS

This was a retrospective cohort study conducted in a tertiary hospital. The study included patients aged 65 years or older who were admitted to the general internal medicine ward after being initially evaluated in the emergency department. FI-lab was calculated using 24 laboratory parameters from blood tests. The National Early Warning Score (NEWS), the Japan Triage and Acuity Scale (JTAS), and the modified JTAS were also used as prognostic indicators, and their association with adverse outcomes was compared with that of FI-lab.

RESULTS

In total, 872 patients (mean age, 80.9 years; male, 52.6 %) were analyzed. Patients who died during hospitalization had a higher FI-lab than those who survived. In multiple regression analysis, FI-lab, NEWS, and the modified JTAS were significantly associated with in-hospital death and prolonged length of hospital stay. In contrast, none of these indices were associated with in-hospital falls. The FI-lab was independently associated with the likelihood of discharge to home.

CONCLUSIONS

FI-lab evaluated in the emergency department reflected the severity of illness in acutely hospitalized older adults, similarly to NEWS and JTAS, and was a useful indicator for predicting adverse outcomes. These results may indicate the value of FI-lab for older adults in the acute care setting.

The effectiveness of a modified Manchester Triage System for geriatric patients: A retrospective quantitative study

AIM

Geriatric patients are increasingly dominating the daily routine in emergency department (ED). The atypical clinical presentation of disease, multimorbidity, frailty and cognitive impairment of geriatric patients pose particular challenges for triage in the ED. Efficient and accurate emergency triage plays a key role in differentiating between geriatric patients who need timely treatment and those who can wait safely. The purpose of this study was to evaluate the performance of the modified Manchester Triage System (mMTS) in classifying geriatric patients.

DESIGN

An observational retrospective study.

METHODS

A retrospective study of 18,796 geriatric patients (≥65 years) attending the ED of a tertiary care hospital in Zhejiang province between 1 June 2020 and 30 June 2022. Baseline information on patients was collected and divided into two different study groups according to triage level: high priority (red/orange) and low priority (yellow/green). The sensitivity and specificity of the mMTS were estimated by verifying the triage classification received by the emergency geriatric patients and their survival at 7 days or the need for acute surgery within 72 h.

RESULTS

The study included a total of 17,764 geriatric patients with a median age of 72 years in ED. 10.7% (1896/17,764) of the geriatric patients were assigned to the high priority code group (red/orange) and 89.3% (15,868/17,764) were in the low priority code group (yellow/green). The sensitivity of the mMTS associated with death within 7 days was 85.7% (77.5-91.4), specificity was 89.8% (89.3-90.2), and accuracy was 89.8% (89.3-90.2). 1.8% of patients required surgery within 72 h. The sensitivity was 62.6% (57.0-67.9), specificity was 90.3% (89.8-90.7), and negative predictive value was 99.2% (99.0-99.4).

CONCLUSIONS

The mMTS has good specificity, accuracy and negative predictive value for geriatric patients. However, its incorrect prediction of triage in high-priority code patients results in lower sensitivity, which may serve as a protective strategy for these individuals. The current emergency triage system does not completely screen geriatric patients with severe acute illness who present to the ED, and it is necessary to add comprehensive assessment tools that match the characteristics of geriatric patients to improve triage outcomes.

Impact of spatial separation for respiratory patients on emergency department flow process intervals and length of stay

BACKGROUND

Spatial separation in emergency departments (EDs) is empirically practised as part of transmission-based precaution. Despite its potential benefits in segregating potentially infectious patients, the effects of spatial separation on patient flow remain uncertain.

AIM

To explore the impact of spatial separation on ED patient flow and to identify specific clinical factors and flow process intervals (FPIs) influencing ED length of stay (EDLOS).

METHODS

This was a retrospective study of data extracted from patients' electronic medical records from January 1st to March 31st, 2022 conducted at the ED of a tertiary hospital in Kuala Lumpur, Malaysia. During this period, patients were separated into respiratory areas (RA) and non-respiratory areas (NRA) based on Centers for Disease Control and Prevention recommendations. The study obtained ethics approval from the institution's ethics board.

FINDINGS

A total of 1054 patients were included in the study, 275 allocated to RA and 779 to NRA. Patients in RA had a significantly longer median EDLOS compared with NRA (9 h 29 min vs 7 h 6 min, P < 0.001, d = 0.41). A lower proportion of patients in RA achieved an EDLOS ≤8 h compared to NRA (41.8% vs 58.3%, P < 0.001). Independent factors affecting EDLOS were: triage category; re-triaging; hypertension; performing biomedical imaging; medical, surgical, and critical care consultations; and disposition plan. Bottlenecks significantly prolonging EDLOS were decision-to-departure, ultrasound interval, and referral-to-consultation.

CONCLUSION

Spatial separation prolongs FPIs and EDLOS. Addressing inpatient access block and streamlining specialty review and biomedical imaging processes may reduce RA EDLOS.

Nonmedical problems among older adults visiting the emergency department for low acuity conditions: A prospective multicentre cohort study

Background

Data on the predictors of nonmedical problems (NMP) in older adults attending the emergency department (ED) for low acuity conditions is lacking and could help rapid identification of patients with NMP and integration of these needs into care planning.

Objectives

To determine the prevalence and predictors of NMP among older adults attending EDs for low acuity conditions.

Methods

Prospective cohort study in eight EDs (May-August 2021). We included cognitively intact ≥65 years old adults assigned a low triage acuity (3-5) using the CTAS. A questionnaire focusing on 11 NMP was administered. We used multiple logistic regression to identify predictors of NMP.

Results

Among the 1,061 participants included, the mean age was 77.1 ± 7.6, majority were female, and 41.6 % lived alone. At least one NMP was reported by 704 persons. Prevalence of each NMP: outdoor (41.1 %) and indoor (30.2 %) mobility issues, difficult access to dental care (35.1 %), transportation (4.1 %) and medication (5.4 %), loneliness (29.5 %), food insecurity (10.3 %), financial difficulties (9.5 %), unsafe living situation (4.1 %), physical/psychological violence (3.4 %), and abuse/neglect (3.3 %). Predictors of NMP were: age (OR 1.04 for each additional year), living alone (OR 2.20), pre-existing mental health conditions (OR 3.12), heart failure (OR 1.42), recent surgery/admission (OR 1.75), memory decline (OR 2.76), no family physician (OR 1.74) and consulting for a fall/functional decline (OR 2.48).

Conclusions

Nonmedical problems are frequent among older adults. We need to implement holistic ED processes that integrate these problems into care planning.

A time-motion study on impact of spatial separation for empiric airborne precautions in emergency department length of stay

AIMS

To evaluate the impact of spatial separation on patient flow in the emergency department.

DESIGN

This was a retrospective, time-and-motion analysis conducted from 15 to 22 August, 2022 at the emergency department of a tertiary hospital in Kuala Lumpur, Malaysia. During this duration, spatial separation was implemented in critical and semi-critical zones to separate patients with symptoms of respiratory infections into respiratory area, and patients without into non-respiratory area. This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

METHODS

Patients triaged to critical and semi-critical zones were included in this study. Timestamps of patient processes in emergency department until patient departure were documented.

RESULTS

The emergency department length-of-stay was longer in respiratory area compared to non-respiratory area; 527 min (381-698) versus 390 min (285-595) in critical zone and 477 min (312-739) versus 393 min (264-595) in semi-critical zone. In critical zone, time intervals of critical flow processes and compliance to hospital benchmarks were similar in both areas. More patients in respiratory area were managed within the arrival-to-contact ≤30 min benchmark and more patients in non-respiratory area had emergency department length-of-stay ≤8 h.

CONCLUSIONS

The implementation of spatial separation in infection control should address decision-to-departure delays to minimise emergency department length of stay.

IMPACT

The study evaluated the impact of spatial separation on patient flow in the emergency department. Emergency department length-of-stay was significantly prolonged in the respiratory area. Hospital administrators and policymakers can optimise infection control protocols measures in emergency departments, balancing infection control measures with efficient patient care delivery.

REPORTING METHOD

STROBE guidelines.

NO PATIENT OR PUBLIC CONTRIBUTION

None.

TRIAL AND PROTOCOL REGISTRATION

The study obtained ethics approval from the institution's Medical Ethics Committee (MREC ID NO: 20221113-11727).

STATISTICAL ANALYSIS

The author has checked and make sure our submission has conformed to the Journal's statistical guideline. There is a statistician on the author team (Noor Azhar).

Identifying the obstacles facing emergency nurses regarding treating CTAS1 and CTAS2 in Saudi Arabia

BACKGROUND

Emergency nurses play a pivotal role in delivering efficient emergency healthcare, yet they often encounter numerous challenges, especially while managing life-threatening cases, impacting both their well-being and patient satisfaction. This study seeks to identify the prevalent challenges faced by these nurses in Saudi hospitals when handling Canadian Triage and Acuity Scale (CTAS1 and CTAS2) cases, with the aim of mitigating or managing these issues in the future.

METHODS

This study incorporated a mixed-method approach to identify obstacles in Emergency Department (ED) nursing treatment of CTAS1 and CTAS2 cases in two major Saudi Arabian hospitals. The research began with qualitative focus group interviews with expert ED nurses, followed by a quantitative survey to measure and explore relationships among the qualitative findings. Data analysis leveraged qualitative thematic analysis and principal component analysis, ensuring rigorous examination and validation of data to drive meaningful conclusions.

FINDINGS

From expert interviews, key challenges for emergency nurses were identified, including resource management, communication, training compliance, and psychological factors. A survey of 172 nurses further distilled these into five major issues: patient care management, handling critical cases, administration support, patient care delay, and stress from patients' families.

CONCLUSION

Through a mixed-method approach, this study pinpoints five pivotal challenges confronting emergency nurses in Saudi hospitals. These encompass difficulties in patient care management, the psychological toll of handling critical cases, inadequate administrative support, delays due to extended patient stays, and the stress induced by the presence of patients' families, all of which significantly impede emergency department efficiency and compromise nurse well-being.

Descriptive analysis and evaluation of Health Link referrals to the emergency department before and during the COVID-19 pandemic

BACKGROUND

In Alberta, Health Link (HL) provides a 24-h, nurse-staffed, phone resource to the public for health-care advice. HL directs callers to either seek care in the emergency department (ED), with a primary care provider or provide self-care at home. This work aims to describe HL ED referrals prior to and during the COVID-19 pandemic.

METHODS

Data from January 1, 2018-December 31, 2019, and July 1, 2020-June 30, 2022, were selected. HL calls were categorized as likely appropriate if the patient was referred and presented to the ED within 24 h and had a Canadian Triage and Acuity Scale (CTAS) of 1-3; or a CTAS of 4-5 and the patient was admitted, specialist consulted, or diagnostic imaging or laboratory tests were completed. The primary outcome was the percentage of likely appropriate referrals among all HL ED referrals.

RESULTS

In the 2018-2019 and 2020-2022 samples, respectively, there were 845,372 and 832,730 calls. Of the 211,723 and 213,486 ED referrals, only 140,614 (66.4%) and 143,322 (67.1%) presented to an ED. Of these, 84.3 and 86.7 per 100 patient visits were categorized as likely appropriate referrals. Health Link referrals account for 3.2% and 3.8% of all ED visits.

IMPACT

HL referrals to the ED represent only a small percentage of all ED visits. Based on our definition, most referrals by HL are likely appropriate. The COVID-19 pandemic does not appear to have altered the rates of calls to HL, the number of HL calls referred to the ED, nor the likely appropriateness of those referrals.

The emergency department trigger tool: Multicenter trigger query validation

OBJECTIVES

We previously described derivation and validation of the emergency department trigger tool (EDTT) for adverse event (AE) detection. As the first step in our multicenter study of the tool, we validated our computerized screen for triggers against manual review, establishing our use of this automated process for selecting records to review for AEs.

METHODS

This is a retrospective observational study of visits to three urban, academic EDs over 18 months by patients ≥ 18 years old. We reviewed 912 records: 852 with at least one of 34 triggers found by the query and 60 records with none. Two first-level reviewers per site each manually screened for triggers. After completion, computerized query results were revealed, and reviewers could revise their findings. Second-level reviewers arbitrated discrepancies. We compare automated versus manual screening by positive and negative predictive values (PPVs, NPVs), present population trigger frequencies, proportions of records triggered, and how often manual ratings were changed to conform with the query.

RESULTS

Trigger frequencies ranged from common (>25%) to rare (1/1000) were comparable at U.S. sites and slightly lower at the Canadian site. Proportions of triggered records ranged from 31% to 49.4%. Overall query PPV was 95.4%; NPV was 99.2%. PPVs for individual trigger queries exceeded 90% for 28-31 triggers/site and NPVs were >90% for all but three triggers at one site. Inter-rater reliability was excellent, with disagreement on manual screening results less than 5% of the time. Overall, reviewers amended their findings 1.5% of the time when discordant with query findings, more often when the query was positive than when negative (47% vs. 23%).

CONCLUSIONS

The EDTT trigger query performed very well compared to manual review. With some expected variability, trigger frequencies were similar across sites and proportions of triggered records ranged 31%-49%. This demonstrates the feasibility and generalizability of implementing the EDTT query, providing a solid foundation for testing the triggers' utility in detecting AEs.

Leveraging graph neural networks for supporting automatic triage of patients

Patient triage is crucial in emergency departments, ensuring timely and appropriate care based on correctly evaluating the emergency grade of patient conditions. Triage methods are generally performed by human operator based on her own experience and information that are gathered from the patient management process. Thus, it is a process that can generate errors in emergency-level associations. Recently, Traditional triage methods heavily rely on human decisions, which can be subjective and prone to errors. A growing interest has recently been focused on leveraging artificial intelligence (AI) to develop algorithms to maximize information gathering and minimize errors in patient triage processing. We define and implement an AI-based module to manage patients' emergency code assignments in emergency departments. It uses historical data from the emergency department to train the medical decision-making process. Data containing relevant patient information, such as vital signs, symptoms, and medical history, accurately classify patients into triage categories. Experimental results demonstrate that the proposed algorithm achieved high accuracy outperforming traditional triage methods. By using the proposed method, we claim that healthcare professionals can predict severity index to guide patient management processing and resource allocation.

The effect of multiple triage points on the outcomes (time and accuracy) of hospital triage during mass casualty incidents

INTRODUCTION

During mass casualty incidents (MCIs), the accuracy and timing of the triage of patients by the emergency department (ED) triage officers are essential. The primary triage is performed at the event's location by paramedics and intends a quick evaluation of the victims. Secondary triage may be used when the transfer of the victim is delayed. In this study, we aimed to investigate the effectiveness of two-point triage in a simulated environment of an MCI in the hospital setting.

MATERIALS AND METHODS

In this case-control study, we used an online test module to assess single triage points (Group 1, n = 41) and two triage points (Group 2, n = 40). 60 vignettes for Group 1 and 55 vignettes (5 deceased cases removed) for Group 2 were used. The assessment utilized clinical MCI scenarios in a scheduled online meeting by using the Simple Triage and Rapid Treatment (START) system. Triage time and accuracy of the triage, along with the experience, and previous training of the participants, were assessed.

RESULTS

A total of 81 triage officers participated in this study. The participants were divided into two independent groups homogenously according to their profession and experience. Groups were comparable primarily without any statistically significant difference in terms of the profession (p = 0.101), sex (p = 0.923), and MCI experience (p = 0.785). The difference between the two groups was not significant with regard to having received practical or theoretical triage training (p = 0.099). The mean time of a single vignette triage was 19.2 (SD 6.5) seconds and mean percentage of correct triage score was 65.0 (SD 12.6). The participants had a statistically significantly better performance in the single-point triage group regarding the median triage time (p < 0.001) and median percentages of under triage (p = 0.001), but a worse median percentage of over triage (p < 0.001). However, there was no significant difference between the two groups in terms of the percentage of accurate triage. Emergency residents performed better in accuracy and triage time than their non-physician colleagues (p = 0.019).

CONCLUSIONS

Two-point triage does not demonstrate better outcomes in terms of accuracy and timing. Triage officers should be trained frequently with the preferred training methodology to prevent improper triage accuracy and timing. Well-defined medical disaster planning should include frequent training of the triage officers with case scenarios.

Predictive factors of basic palliative and hospice care among patients with cancer visiting the emergency department in a Hungarian tertiary care center

Introduction

Patients with advanced cancer tend to utilize the services of the health care system, particularly emergency departments (EDs), more often, however EDs aren't necessarily the most ideal environments for providing care to these patients. The objective of our study was to analyze the clinical and demographic characteristics of advanced patients with cancer receiving basic palliative care (BPC) or hospice care (HC), and to identify predictive factors of BPC and HC prior to their visit to the ED, in a large tertiary care center in Hungary.

Methods

A retrospective, detailed analysis of patients receiving only BPC or HC, out of 1512 patients with cancer visiting the ED in 2018, was carried out. Sociodemographic and clinical data were collected via automated and manual chart review. Patients were followed up to determine length of survival. Descriptive and exploratory statistical analyses were performed.

Results

Hospital admission, multiple (≥4x) ED visits, and respiratory cancer were independent risk factors for receiving only BPC (OR: 3.10, CI: 1.90-5.04; OR: 2.97, CI: 1.50-5.84; OR: 1.82, CI: 1.03-3.22, respectively), or HC (OR: 2.15, CI: 1.26-3.67; OR: 4.94, CI: 2.51-9.71; OR: 2.07, CI: 1.10-3.91). Visiting the ED only once was found to be a negative predictive factor for BPC (OR: 0.28, CI: 0.18-0.45) and HC (OR: 0.18, 0.10-0.31) among patients with cancer visiting the ED.

Conclusions

Our study is the first from this European region to provide information regarding the characteristics of patients with cancer receiving BPC and HC who visited the ED, as well as to identify possible predictive factors of receiving BPC and HC. Our study may have relevant implications for health care planning strategies in practice.

Closing the Loop: The Value of Outcome Letters for Prehospital Pediatric Care

OBJECTIVES

Providing emergency care to acutely ill or injured children is stressful and requires a high level of training. Paramedics who provide prehospital care are typically not involved in the circle of care and do not receive patient outcome information. The aim of this quality improvement project was to assess paramedics' perceptions of standardized outcome letters pertaining to acute pediatric patients that they had treated and transported to an emergency department.

METHODS

Between December 2019 and December 2020, 888 outcome letters were distributed to paramedics who provided care for 370 acute pediatric patients transported to the Children's Hospital of Eastern Ontario in Ottawa, Canada. All paramedics who received a letter (n = 470) were invited to participate in a survey that collected their perceptions and feedback about the letters, as well as their demographic information.

RESULTS

The response rate was 37% (172/470). Approximately half of the respondents were Primary Care Paramedics and half Advanced Care Paramedics. The respondents' median age was 36 years, median years of service was 12 years, and 64% identified as male. Most agreed that the outcome letters contained information pertinent to their practice (91%), allowed them to reflect on care they had provided (87%), and confirmed clinical suspicions (93%). Respondents indicated that they found the letters useful for 3 reasons: 1) increases capacity to link differential diagnoses, prehospital care, or patient outcomes; 2) contributes to a culture of continuous learning and improvement; and 3) gives closure, reduces stress, or provides answers for difficult cases. Suggestions for improvement included providing more information, provision of letters on all patients transported, faster turnaround time between call and receipt of letter and inclusion of recommendations or interventions/assessments.

CONCLUSIONS

Paramedics appreciated receiving hospital-based patient outcome information after their provision of care and reported that the letters offered opportunities for closure, reflection, and learning.

Evaluating the Reliability of a Remote Acuity Prediction Tool in a Canadian Academic Emergency Department

STUDY OBJECTIVE

There is increasing interest in harnessing artificial intelligence to virtually triage patients seeking care. The objective was to examine the reliability of a virtual machine learning algorithm to remotely predict acuity scores for patients seeking emergency department (ED) care by applying the algorithm to retrospective ED data.

METHODS

This was a retrospective review of adult patients conducted at an academic tertiary care ED (annual census 65,000) from January 2021 to August 2022. Data including ED visit date and time, patient age, sex, reason for visit, presenting complaint and patient-reported pain score were used by the machine learning algorithm to predict acuity scores. The algorithm was designed to up-triage high-risk complaints to promote safety for remote use. The predicted scores were then compared to nurse-led triage scores previously derived in real time using the electronic Canadian Triage and Acuity Scale (eCTAS), an electronic triage decision-support tool used in the ED. Interrater reliability was estimated using kappa statistics with 95% confidence intervals (CIs).

RESULTS

In total, 21,469 unique ED patient encounters were included. Exact modal agreement was achieved for 10,396 (48.4%) patient encounters. Interrater reliability ranged from poor to fair, as estimated using unweighted kappa (0.18, 95% CI 0.17 to 0.19), linear-weighted kappa (0.25, 95% CI 0.24 to 0.26), and quadratic-weighted kappa (0.36, 95% CI 0.35 to 0.37) statistics. Using the nurse-led eCTAS score as the reference, the machine learning algorithm overtriaged 9,897 (46.1%) and undertriaged 1,176 (5.5%) cases. Some of the presenting complaints under-triaged were conditions generally requiring further probing to delineate their nature, including abnormal lab/imaging results, visual disturbance, and fever.

CONCLUSION

This machine learning algorithm needs further refinement before being safely implemented for patient use.

Assessing the precision of artificial intelligence in ED triage decisions: Insights from a study with ChatGPT

BACKGROUND

The rise in emergency department presentations globally poses challenges for efficient patient management. To address this, various strategies aim to expedite patient management. Artificial intelligence's (AI) consistent performance and rapid data interpretation extend its healthcare applications, especially in emergencies. The introduction of a robust AI tool like ChatGPT, based on GPT-4 developed by OpenAI, can benefit patients and healthcare professionals by improving the speed and accuracy of resource allocation. This study examines ChatGPT's capability to predict triage outcomes based on local emergency department rules.

METHODS

This study is a single-center prospective observational study. The study population consists of all patients who presented to the emergency department with any symptoms and agreed to participate. The study was conducted on three non-consecutive days for a total of 72 h. Patients' chief complaints, vital parameters, medical history and the area to which they were directed by the triage team in the emergency department were recorded. Concurrently, an emergency medicine physician inputted the same data into previously trained GPT-4, according to local rules. According to this data, the triage decisions made by GPT-4 were recorded. In the same process, an emergency medicine specialist determined where the patient should be directed based on the data collected, and this decision was considered the gold standard. Accuracy rates and reliability for directing patients to specific areas by the triage team and GPT-4 were evaluated using Cohen's kappa test. Furthermore, the accuracy of the patient triage process performed by the triage team and GPT-4 was assessed by receiver operating characteristic (ROC) analysis. Statistical analysis considered a value of p < 0.05 as significant.

RESULTS

The study was carried out on 758 patients. Among the participants, 416 (54.9%) were male and 342 (45.1%) were female. Evaluating the primary endpoints of our study - the agreement between the decisions of the triage team, GPT-4 decisions in emergency department triage, and the gold standard - we observed almost perfect agreement both between the triage team and the gold standard and between GPT-4 and the gold standard (Cohen's Kappa 0.893 and 0.899, respectively; p < 0.001 for each).

CONCLUSION

Our findings suggest GPT-4 possess outstanding predictive skills in triaging patients in an emergency setting. GPT-4 can serve as an effective tool to support the triage process.

COVID Vaccine Hesitancy and Long-Term Traffic Risks

BACKGROUND

COVID vaccine hesitancy identifies a discrepancy between personal decisions and public guidelines. We tested whether COVID vaccine hesitancy was associated with the long-term risks of a traffic crash.

METHODS

We conducted a population-based longitudinal cohort analysis of adults by determining COVID vaccination status through linkages to electronic medical records. Traffic crashes requiring emergency medical care were defined by multicenter outcome ascertainment of all hospitals throughout the region over the subsequent year.

RESULTS

We identified 11,598,549 total individuals, of whom 1,210,754 had not received a COVID vaccine. A total of 54,558 were subsequently injured in traffic crashes during the 1-year follow-up interval, equal to a risk of 4704 per million. Those who had not received a COVID vaccine had a 58% higher risk than those who had received a COVID vaccine (6983 vs 4438 per million, P < .001). The increased traffic risks among unvaccinated individuals included diverse subgroups, were accentuated for single-vehicle crashes, extended to fatal outcomes, exceeded the risks associated with sleep apnea, and persisted after adjustment for baseline characteristics. The increased risks were validated in analyses using Artificial Intelligence techniques and generally larger than the risks of other adverse events frequently ascribed to COVID vaccination.

CONCLUSIONS

COVID vaccine hesitancy is associated with significant increased long-term risks of a traffic crash. A greater awareness of traffic risks might encourage patients to take protective actions for personal safety.

Acuity of asthma exacerbations in Alberta, Canada is increasing: a population-based study

BACKGROUND

Asthma is a common respiratory illness affecting 2.8 million Canadians, including 9.7% of Albertans. Prior studies showed a substantial decrease in ED visits for asthma in the decade preceding 2010, followed by a stabilization. This was attributed to improvements in the pharmacologic and non-pharmacologic treatments for asthma during that period followed by a balance between epidemiologic drivers and protective factors in the population.

METHODS

We assessed whether this trend continued in Alberta from 2010 to 2022 using population level data for the volume of daily ED visits, acuity of asthma exacerbations in the ED, and hospitalization rate.

RESULTS

The mean number of ED visits decreased from 4.5 to 2.2 per million persons per day, but the acuity of exacerbations and the proportion requiring hospitalization increased. The number of patients presenting with the highest level of acuity increased by over 300%, and the percentage of patients requiring hospitalization increased from 6.8 to 11.3%.

CONCLUSION

Total ED visits for asthma exacerbations continues to decline in Alberta. The reasons for an increase in more severe exacerbations requires further attention.

Heatstroke presentations to urban hospitals during BC's extreme heat event: lessons for the future

BACKGROUND

Climate change is leading to more extreme heat events in temperate climates that typically have low levels of preparedness. Our objective was to describe the characteristics, treatments, and outcomes of adults presenting to hospitals with heatstroke during BC's 2021 heat dome.

METHODS

We conducted a review of consecutive adults presenting to 7 hospitals in BC's Lower Mainland. We screened the triage records of all patients presenting between June 25th and 30th, 2021 for complaints related to heat, and reviewed the full records of those who met heatstroke criteria. Our primary outcome was in-hospital mortality. We used Mann-Whitney U tests and logistic regression to investigate associations between patient and treatment factors and mortality.

RESULTS

Among 10,247 consecutive presentations to urban hospitals during the extreme heat event, 1.3% (139; 95% confidence intervals [CI] 1.1-1.6%) met criteria for heatstroke. Of heatstroke patients, 129 (90.6%) were triaged into the two highest acuity levels. Patients with heatstroke had a median age of 84.4 years, with 122 (87.8%) living alone, and 101 (84.2%) unable to activate 911 themselves. A minority (< 5, < 3.6%) of patients presented within 48 h of the onset of extreme heat. Most patients (107, 77.0%) required admission, and 11.5% (16) died in hospital. Hypotension on presentation was associated with mortality (odds ratio [OR] 5.3).

INTERPRETATION

Heatstroke patients were unable to activate 911 themselves, and most presented with a 48-h delay. This delay may represent a critical window of opportunity for pre-hospital and hospital systems to prepare for the influx of high-acuity resource-intensive patients.

Clinical Frailty Scale at presentation to the emergency department: interrater reliability and use of algorithm-assisted assessment

PURPOSE

The Clinical Frailty Scale (CFS) allows health care providers to quickly stratify older patients, to support clinical decision-making. However, few studies have evaluated the CFS interrater reliability (IRR) in Emergency Departments (EDs), and the freely available smartphone application for CFS assessment was never tested for reliability. This study aimed to evaluate the interrater reliability of the Clinical Frailty Scale (CFS) ratings between experienced and unexperienced staff (ED clinicians and a study team (ST) of medical students supported by a smartphone application to assess the CFS), and to determine the feasibility of CFS assignment in patients aged 65 or older at triage.

METHODS

Cross-sectional study using consecutive sampling of ED patients aged 65 or older. We compared assessments by ED clinicians (Triage Clinicians (TC) and geriatric ED trained nurses (geriED-TN)) and a study team (ST) of medical students using a smartphone application for CFS scoring. The study is registered on Clinicaltrials.gov (NCT05400707).

RESULTS

We included 1349 patients aged 65 and older. Quadratic-weighted kappa values for ordinal CFS levels showed a good IRR between TC and ST (ϰ = 0.73, 95% CI 0.69-0.76), similarly to that between TC and geriED-TN (ϰ = 0.75, 95% CI 0.66-0.82) and between the ST and geriED-TN (ϰ = 0.74, 95% CI 0.63-0.81). A CFS rating was assigned to 972 (70.2%) patients at triage.

CONCLUSION

We found good IRR in the assessment of frailty with the CFS in different ED providers and a team using a smartphone application to support rating. A CFS assessment occurred in more than two-thirds (70.2%) of patients at triage.

Real-Time Virtual Support as an Emergency Department Strategy for Rural, Remote, and Indigenous Communities in British Columbia: Descriptive Case Study

BACKGROUND

British Columbia has over 200 rural, remote, and Indigenous communities that have limited health care resources due to physician isolation, sparsity in clinical resources, the lack of collegial support, and provider burnout. Real-time virtual support (RTVS) peer-to-peer pathways provide support to patients and providers. Amid the COVID-19 pandemic exacerbating existing health care disparities and equitable access to timely care, RTVS presents a portable and additional opportunity to be deployed in a hospital or patient home setting in rural communities. We highlight the story of the Rural Urgent Doctor in-aid (RUDi) pathway within RTVS that successfully supported the Dawson Creek District Hospital (DCDH) emergency department (ED) in 2021.

OBJECTIVE

This study aims to describe the rapid implementation process and identify facilitators and barriers to successful implementation.

METHODS

This case study is grounded in the Quadruple Aim and Social Accountability frameworks for health systems learning. The entire study period was approximately 6 months. After 1 week of implementation, we interviewed RUDi physicians, DCDH staff, health authority leadership, and RTVS staff to gather their experiences. Content analysis was used to identify themes that emerged from the interviews.

RESULTS

RUDi physicians covered 39 overnight shifts and were the most responsible providers (MRPs) for 245 patients who presented to the DCDH ED. A total of 17 interviews with key informants revealed important themes related to leadership and relationships as facilitators of the coverage's success, the experience of remote physician support, providing a "safety net," finding new ways of interprofessional collaboration, and the need for extensive IT support throughout. Quality improvement findings identified barriers and demonstrated tangible recommendations for how this model of support can be improved in future cases.

CONCLUSIONS

By acting as the MRP during overnight ED shifts, RUDi prevented the closure of the DCDH ED and the diversion of patients to another rural hospital. Rapid codevelopment and implementation of digital health solutions can be leveraged with existing partnerships and mutual trust between RTVS and rural EDs to ease the pressures of a physician shortage, particularly during COVID-19. By establishing new and modified clinical workflows, RTVS provides a safety net for rural patients and providers challenged by burnout. This case study provides learnings to be implemented to serve future rural, remote, and Indigenous communities in crisis.

Change in Hospital Risk-standardized Stroke Mortality Performance With and Without the Passive Surveillance Stroke Severity Score

BACKGROUND

Adjustment for baseline stroke severity is necessary for accurate assessment of hospital performance. We evaluated whether adjusting for the Passive Surveillance Stroke SeVerity (PaSSV) score, a measure of stroke severity derived using administrative data, changed hospital-specific estimated 30-day risk-standardized mortality rate (RSMR) after stroke.

METHODS

We used linked administrative data to identify adults who were hospitalized with ischemic stroke or intracerebral hemorrhage across 157 hospitals in Ontario, Canada between 2014 and 2019. We fitted a random effects logistic regression model using Markov Chain Monte Carlo methods to estimate hospital-specific 30-day RSMR and 95% credible intervals with adjustment for age, sex, Charlson comorbidity index, and stroke type. In a separate model, we additionally adjusted for stroke severity using PaSSV. Hospitals were defined as low-performing, average-performing, or high-performing depending on whether the RSMR and 95% credible interval were above, overlapping, or below the cohort's crude mortality rate.

RESULTS

We identified 65,082 patients [48.0% were female, the median age (25th,75th percentiles) was 76 years (65,84), and 86.4% had an ischemic stroke]. The crude 30-day all-cause mortality rate was 14.1%. The inclusion of PaSSV in the model reclassified 18.5% (n=29) of the hospitals. Of the 143 hospitals initially classified as average-performing, after adjustment for PaSSV, 20 were reclassified as high-performing and 8 were reclassified as low-performing. Of the 4 hospitals initially classified as low-performing, 1 was reclassified as high-performing. All 10 hospitals initially classified as high-performing remained unchanged.

CONCLUSION

PaSSV may be useful for risk-adjusting mortality when comparing hospital performance. External validation of our findings in other jurisdictions is needed.

Triage: A Global Perspective

Triage is a process by which patients are assessed, classified, and sorted based on their presenting complaint and clinical urgency, providing assurance for timely access to emergency care. The goal is to get the right person to the right place, in the right amount of time, for the right reason, and within the context of resource availability. In many countries, a standardized triage system, underpinned through the use of guidelines, is used to provide clinicians with support and guidance. Triage is a globally adopted principle, and although triage guidelines are used in many countries, no single system has been internationally adopted. This paper discusses the importance of how triage process standardization improves patient care, resource management, and benchmarking at local, national, and international levels by applying 5 internationally recognized triage systems to fictional case studies. Evaluation of similarities and differences in severity scores, with a gap analysis, occurs.

Age in addition to RETTS triage priority substantially improves 3-day mortality prediction in emergency department patients: a multi-center cohort study

BACKGROUND

Previous studies have shown varying results on the validity of the rapid emergency triage and treatment system (RETTS), but have concluded that patient age is not adequately considered as a risk factor for short term mortality. Little is known about the RETTS system's performance between different chief complaints and on short term mortality. We therefore aimed to evaluate how well a model including both RETTS triage priority and patient age (TP and age model) predicts 3-day mortality compared to a univariate RETTS triage priority model (TP model). Secondarily, we aimed to evaluate the TP model compared to a univariate age model (age model) and whether these three models' predictive performance regarding 3-day mortality varies between patients with different chief complaints in an unsorted emergency department patient population.

METHODS

This study was a prospective historic observational cohort study, using logistic regression on a cohort of patients seeking emergency department care in Stockholm during 2012-2016. Patient visits were stratified into the 10 chief complaint categories (CCC) with the highest number of deceased patients within 3 days of arrival, and to "other chief complaints". Patients with priority 1 were excluded.

RESULTS

The studied cohort contained 1,690,981 visits by 788,046 different individuals. The TP and age model predicted 3-day mortality significantly and substantially better than both univariate models in the total population and in each studied CCC. The age model predicted 3-day mortality significantly and substantially better than the TP model in the total population and for all but three CCCs and was not inferior in any CCC. There were substantial differences between the studied CCCs in the predictive ability of each of the three models.

CONCLUSIONS

Adding patient age to the RETTS triage priority system significantly and substantially improves 3-day mortality prediction compared to RETTS priority alone. Age alone is a non-inferior predictor of 3-day mortality compared to RETTS priority. The impact on 3-day mortality prediction of adding patient age to RETTS priority varies between CCCs but is substantial for all CCCs and for the total population. Including age as a variable in future revisions of RETTS could substantially improve patient safety.

Comparison between local and three validated triage systems in an emergency department for 2126 children under 3 months

AIM

Triage of patients less than 3 months old was not already studied. The aim was to evaluate Paediatric Emergency Department triage in patients less than 3 months old and newborns using a local system in comparison with three validated paediatric triage systems (Canadian Triage and Acuity Scale, Manchester Triage System and Emergency Severity Index) and to determine inter-system agreement.

METHODS

All admissions of patients less than 3 months old admitted to the Emergency Department of the Saint Vincent University Hospital between April 2018 and December 2019 were included. The local triage system level was determined prospectively for comparison with retrospectively calculated triage levels of the validated systems. Hospitalisation rates were compared and inter-system agreements determined.

RESULTS

Among emergency admissions, 2126 were included (55% males, mean age 45 days). Hospitalisation rate increased with priority severity as determined by all triage systems studied. Cohen's kappa showed slight agreement between the local triage system and the Canadian Triage and Acuity Scale, Emergency Severity Index and Manchester Triage System (weighted kappa = 0.133, 0.185 and 0.157 respectively).

CONCLUSION

Whether prospective or retrospective triage used, the systems studied exhibited good association with hospitalisation rate for patients aged less than 3 months and newborn infants.

Measuring Potentially Avoidable Acute Care Transfers From Long-Term Care Homes in Quebec: a Cross Sectional Study

Background

Potentially avoidable emergency department transfers (PAEDTs) and hospitalizations (PAHs) from long-term care (LTC) homes are two key quality improvement metrics. We aimed to: 1) Measure proportions of PAEDTs and PAHs in a Quebec sample; and 2) Compare them with those reported for the rest of Canada.

Methods

We conducted a repeated cross-sectional study of residents who were received at one tertiary hospital between April 2017 and March 2019 from seven LTC homes in Quebec, Canada. The MedUrge emergency department database was used to extract transfers and resident characteristics. Using published definitions, PAEDTs and PAHs were identified from principal emergency department and hospitalization diagnoses, respectively. PAEDT and PAH proportions were compared to those reported by the Canadian Institute for Health Information.

Results

A total of 1,233 transfers by 692 residents were recorded, among which 36.3% were classified as being potentially avoidable: 22.8% 'PAEDT only', 11.6% 'both PAEDT & PAH', and 1.9% 'PAH only'. Shortness of breath was the most common reason for transfer. Pneumonia was the most common diagnosis from the 'both PAEDT & PAH' category. PAEDTs and PAHs accounted for 95% and 37% of potentially avoidable transfers, respectively. Among 533 hospitalizations, 31.3% were PAHs. These proportions were comparable to the rest of Canada, with some differences in proportions of transfers due to congestive heart failure, urinary tract infection, and implanted device management.

Conclusions

PAEDTs far outweigh PAHs in terms of frequency, and their monitoring is important for quality assurance as they may inform LTC-level interventions aimed at their reduction.

Those who opt to leave: Comparison by triage acuity of emergency patients who leave prior to seeing a medical practitioner

BACKGROUND

People who present to an emergency department but leave before seeing a medical practitioner (LWBS) pose a potential risk, especially those triaged with higher acuity care needs.

OBJECTIVE

To describe and compare characteristics of emergency patients who LWBS by triage acuity.

METHOD

Retrospective review of administrative data for a 1-year period. Chi-square and logistic regression analyses conducted to investigate differences in characteristics specific to individual and the timing of presentation between patients who LWBS and were triaged as higher acuity compared to those who left but were triaged as less- or non-urgent.

RESULTS

During study period, 12.6 % of patients LWBS with 30.0 % of these cases triaged as higher acuity. Number triaged as higher acuity who LWBS tended to be higher during days with a higher volume of higher acuity cases. The likelihood of LWBS for those triaged as higher acuity was higher among older age groups and those with a primary care provider who presented on weekdays, during evening and night shifts, and in the winter months.

CONCLUSIONS

Findings highlight differences in LWBS cases by triage acuity and raise questions about emergency nurses' professional responsibility to follow-up with those who LWBS if they have been triaged as higher acuity based on an assessment of their presenting complaint and risk for complications or deterioration. While continuing to work to reduce wait times and improve patient flow, it is important to identify factors affecting patients' decision to LWBS, especially for those triaged with higher acuity healthcare needs.

Clinical support system for triage based on federated learning for the Korea triage and acuity scale

Background and aims

This study developed a clinical support system based on federated learning to predict the need for a revised Korea Triage Acuity Scale (KTAS) to facilitate triage.

Methods

This was a retrospective study that used data from 11,952,887 patients in the Korean National Emergency Department Information System (NEDIS) from 2016 to 2018 for model development. Separate cohorts were created based on the emergency medical center level in the NEDIS: regional emergency medical center (REMC), local emergency medical center (LEMC), and local emergency medical institution (LEMI). External and temporal validation used data from emergency department (ED) of the study site from 2019 to 2021. Patient features obtained during the triage process and the initial KTAS scores were used to develop the prediction model. Federated learning was used to rectify the disparity in data quality between EDs. The patient's demographic information, vital signs in triage, mental status, arrival information, and initial KTAS were included in the input feature.

Results

3,626,154 patients' visits were included in the regional emergency medical center cohort; 8,278,081 patients' visits were included in the local emergency medical center cohort; and 48,652 patients' visits were included in the local emergency medical institution cohort. The study site cohort, which is used for external and temporal validation, included 135,780 patients visits. Among the patients in the REMC and study site cohorts, KTAS level 3 patients accounted for the highest proportion at 42.4% and 45.1%, respectively, whereas in the LEMC and LEMI cohorts, KTAS level 4 patients accounted for the highest proportion. The area under the receiver operating characteristic curve for the prediction model was 0.786, 0.750, and 0.770 in the external and temporal validation. Patients with revised KTAS scores had a higher admission rate and ED mortality rate than those with unaltered KTAS scores.

Conclusions

This novel system might accurately predict the likelihood of KTAS acuity revision and support clinician-based triage.

The Prevalence and Utilization of Prehospital IV Access in Critically Ill Patients in the Emergency Department

BACKGROUND

Despite the pivotality of emergency medical services (EMS) in prehospital care for patient stabilization, prehospital intravenous (IV) access, a standard practice, remains an ambiguity in Saudi Arabia in terms of its prevalence of placement, justification, and utilization.

OBJECTIVES

In this study, we aim to estimate the prevalence and utilization rate of prehospital IV access placement in patients transported to King Khalid University Hospital (KKUH) Emergency Medicine Department in Riyadh by EMS and determine the relationship between the prevalence and utilization rate of prehospital IV access in Canadian Triage and Acuity Scale (CTAS) levels 1 and 2 in trauma and non-trauma patients.

METHODS

This observational cross-sectional study was conducted over six months. A total of 181 cases of CTAS levels 1 and 2 adult patients were included. Data were collected by trained nurses using convenient sampling through an author-developed questionnaire.

RESULTS

 The prevalence of prehospital IV line placement was 28.7%, with a utilization rate of 50%, and was notably higher among CTAS level 1 cases (69.2%). Additionally, trauma cases had a higher prevalence of prehospital IV access (53.5%) compared to medical cases (odds ratio (OR): 4.73, 95% confidence interval (CI): 4.73, 4.73, p<0.05). Among patients with prehospital IV lines, the majority (92.3%) were patent and functional. Upon arrival, 73.1% of patients had their prehospital IV line replaced, with hospital protocol being the most common reason for the replacement (73.7%).

CONCLUSION

A minority of the patients had prehospital vascular access, and of those, half remained unused. Trauma cases and CTAS level 1 patients had a higher prevalence and utilization of prehospital IV access. Furthermore, trauma cases were more associated with prehospital IV access establishment and utilization.

Implementation of Prediction Models in the Emergency Department from an Implementation Science Perspective-Determinants, Outcomes, and Real-World Impact: A Scoping Review

STUDY OBJECTIVE

Prediction models offer a promising form of clinical decision support in the complex and fast-paced environment of the emergency department (ED). Despite significant advancements in model development and validation, implementation of such models in routine clinical practice remains elusive. This scoping review aims to survey the current state of prediction model implementation in the ED and to provide insights on contributing factors and outcomes from an implementation science perspective.

METHODS

We searched 4 databases from their inception to May 20, 2022: MEDLINE (through PubMed), Embase, Scopus, and CINAHL. Articles that reported implementation outcomes and/or contextual determinants under the Reach, Effectiveness, Adoption, Implementation Maintenance (RE-AIM)/Practical, Robust, Implementation, and Sustainability Model (PRISM) framework were included. Characteristics of studies, models, and results of the RE-AIM/PRISM domains were summarized narratively.

RESULTS

Thirty-six reports on 31 implementations were included. The most common prediction models implemented were early warning scores. The most common implementation strategies used were training stakeholders, infrastructural changes, and using evaluative or iterative strategies. Only one report examined ED patients' perspectives, whereas the rest were focused on the experience of health care workers or organizational stakeholders. Key determinants of successful implementation include strong stakeholder engagement, codevelopment of workflows and implementation strategies, education, and usability.

CONCLUSION

Examining ED prediction models from an implementation science perspective can provide valuable insights and help guide future implementations.

Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study

OBJECTIVES

Artificial intelligence companies have been increasing their initiatives recently to improve the results of chatbots, which are software programs that can converse with a human in natural language. The role of chatbots in health care is deemed worthy of research. OpenAI's ChatGPT is a supervised and empowered machine learning-based chatbot. The aim of this study was to determine the performance of ChatGPT in emergency medicine (EM) triage prediction.

METHODS

This was a preliminary, cross-sectional study conducted with case scenarios generated by the researchers based on the emergency severity index (ESI) handbook v4 cases. Two independent EM specialists who were experts in the ESI triage scale determined the triage categories for each case. A third independent EM specialist was consulted as arbiter, if necessary. Consensus results for each case scenario were assumed as the reference triage category. Subsequently, each case scenario was queried with ChatGPT and the answer was recorded as the index triage category. Inconsistent classifications between the ChatGPT and reference category were defined as over-triage (false positive) or under-triage (false negative).

RESULTS

Fifty case scenarios were assessed in the study. Reliability analysis showed a fair agreement between EM specialists and ChatGPT (Cohen's Kappa: 0.341). Eleven cases (22%) were over triaged and 9 (18%) cases were under triaged by ChatGPT. In 9 cases (18%), ChatGPT reported two consecutive triage categories, one of which matched the expert consensus. It had an overall sensitivity of 57.1% (95% confidence interval [CI]: 34-78.2), specificity of 34.5% (95% CI: 17.9-54.3), positive predictive value (PPV) of 38.7% (95% CI: 21.8-57.8), negative predictive value (NPV) of 52.6 (95% CI: 28.9-75.6), and an F1 score of 0.461. In high acuity cases (ESI-1 and ESI-2), ChatGPT showed a sensitivity of 76.2% (95% CI: 52.8-91.8), specificity of 93.1% (95% CI: 77.2-99.2), PPV of 88.9% (95% CI: 65.3-98.6), NPV of 84.4 (95% CI: 67.2-94.7), and an F1 score of 0.821. The receiver operating characteristic curve showed an area under the curve of 0.846 (95% CI: 0.724-0.969, P < 0.001) for high acuity cases.

CONCLUSION

The performance of ChatGPT was best when predicting high acuity cases (ESI-1 and ESI-2). It may be useful when determining the cases requiring critical care. When trained with more medical knowledge, ChatGPT may be more accurate for other triage category predictions.

Retrospective study of cancer patients' predictive factors of care in a large, Hungarian tertiary care centre

OBJECTIVES

To identify predictive factors of multiple emergency department (ED) visits, hospitalisation and potentially preventable ED visits made by patients with cancer in a Hungarian tertiary care centre.

DESIGN

Observational, retrospective study.

SETTING

A large, public tertiary hospital, in Somogy County, Hungary, with a level 3 emergency and trauma centre and a dedicated cancer centre.

PARTICIPANTS

Patients above 18 years with a cancer diagnosis (International Classification of Diseases, 10th Revision codes of C0000-C9670) who visited the ED in 2018, who had received their diagnosis of cancer within 5 years of their first ED visit in 2018 or received their diagnosis of cancer latest within the study year. Cases diagnosed with cancer at the ED (new cancer diagnosis-related ED visits) were also included, constituting 7.9% of visits.

PRIMARY OUTCOME MEASURES

Demographic and clinical characteristics were collected and the predictors of multiple (≥2) ED visits within the study year, admission to inpatient care following the ED visit (hospitalisation), potentially preventable ED visits and death within 36 months were determined.

RESULTS

2383 ED visits made by 1512 patients with cancer were registered. Predictive factors of multiple (≥2) ED visits were residing in a nursing home (OR 3.09, 95% CI 1.88 to 5.07) and prior hospice care (OR 1.87, 95% CI 1.05 to 3.31). Predictive factors for hospitalisation following an ED visit included a new cancer diagnosis-related visit (OR 1.86, 95% CI 1.30 to 2.66) and complaint of dyspnoea (OR 1.61, 95% CI 1.22 to 2.12).

CONCLUSIONS

Being a resident of a nursing home and receiving prior hospice care significantly increased the odds of multiple ED visits, while new cancer-related ED visits independently increased the odds of hospitalisation of patients with cancer. This is the first study to report these associations from a Central-Eastern European country. Our study may shed light on the specific challenges of EDs in general and particularly faced by countries in the region.

Application of the Modified Early Obstetrical Warning System (MEOWS) in postpartum patients in the emergency department

INTRODUCTION

Over the last two decades, there has been a steady rise in severe maternal morbidity and pregnancy-related deaths in Canada and the USA. The Modified Early Obstetric Warning System (MEOWS) is a risk stratification tool designed to predict severe maternal morbidity and mortality and has been validated for use in obstetrical wards. The objective of this study was to determine if MEOWS could accurately identify patients at risk of severe maternal morbidity and mortality in the ED setting.

METHODS

This was a chart review of patients presenting to an academic tertiary care centre (annual ED census 65,000) with a postpartum complaint within 6 weeks of delivery between May 2020 and March 2022. The exposure was the presence of a trigger, defined as one severely abnormal (red) or two mildly abnormal (yellow) physiological measurements during the ED visit. The diagnostic accuracy of the tool to identify patients at risk of severe maternal morbidity severe maternal morbidity or mortality was estimated by calculating the sensitivity, specificity, positive predictive value and negative predictive value.

RESULTS

Two hundred and sixty-seven patients were included, of which 21 (7.9%) met the criteria for severe maternal morbidity. There were no maternal deaths. Overall, the sensitivity of the MEOWS tool was 85.7% (95% CI 63.7-97.0%), specificity was 67.9% (95% CI 61.7-73.7%), positive predictive value was 18.6% (95% CI 15.1-22.7%), and negative predictive value was 98.2% (95% CI 95.1-99.4%). Severe preeclampsia and eclampsia were the most common outcome category of severe maternal morbidity, representing 16 (76.2%) cases. Most patients (86.5%) were discharged directly from the ED, and 90.0% did not return within 30 days.

CONCLUSIONS

This study is the first to explore the utility of MEOWS in postpartum ED patients. The presence of a MEOWS trigger at ED triage or the first ED nursing assessment was associated with severe maternal morbidity. Thus, MEOWS may be a valuable tool to identify postpartum patients at risk of severe outcomes early in an ED visit.

Five Level Triage vs. Four Level Triage in a Quaternary Emergency Department: National Analysis on Waiting Time, Validity, and Crowding-The CREONTE (Crowding and RE-Organization National TriagE) Study Group

Background and Objectives: Triage systems help provide the right care at the right time for patients presenting to emergency departments (EDs). Triage systems are generally used to subdivide patients into three to five categories according to the system used, and their performance must be carefully monitored to ensure the best care for patients. Materials and Methods: We examined ED accesses in the context of 4-level (4LT) and 5-level triage systems (5LT), implemented from 1 January 2014 to 31 December 2020. This study assessed the effects of a 5LT on wait times and under-triage (UT) and over-triage (OT). We also examined how 5LT and 4LT systems reflected actual patient acuity by correlating triage codes with severity codes at discharge. Other outcomes included the impact of crowding indices and 5LT system function during the COVID-19 pandemic in the study populations. Results: We evaluated 423,257 ED presentations. Visits to the ED by more fragile and seriously ill individuals increased, with a progressive increase in crowding. The length of stay (LOS), exit block, boarding, and processing times increased, reflecting a net raise in throughput and output factors, with a consequent lengthening of wait times. The decreased UT trend was observed after implementing the 5LT system. Conversely, a slight rise in OT was reported, although this did not affect the medium-high-intensity care area. Conclusions: Introducing a 5LT improved ED performance and patient care.

Choosing Wisely® in Japanese Emergency Medicine: Nine Recommendations to Improve The Value of Health Care

BACKGROUND

The overuse of diagnostic and therapeutic modalities has become an issue in the field of emergency medicine. The health care system of Japan aims to provide the most appropriate quality and quantity of care at the right price, while focusing on patient value. The Choosing Wisely® campaign was launched in Japan and other countries.

OBJECTIVE

In this article, recommendations were discussed to improve the field of emergency medicine based on the state of the Japanese health care system.

METHODS

The modified Delphi method, a consensus-building method, was used in this study. The final recommendations were developed by a working group of 20 medical professionals, students, and patients, consisting of members of the emergency physician electronic mailing list.

RESULTS

From the 80 candidates recommended and excessive actions gathered, nine recommendations were formulated after two Delphi rounds. The recommendations included the suppression of excessive behavior and the implementation of appropriate medical treatment, like rapid pain relief and the application of ultrasonography during central venous catheter placement.

CONCLUSIONS

This study formulated recommendations to improve the field of Japanese emergency medicine, based on the feedback of patients and health care professionals. The nine recommendations will be helpful for all people involved in emergency care in Japan because they have the potential to prevent the overuse of diagnostic and therapeutic modalities, while maintaining the appropriate quality of patient care.

'They all stay with me'-An interpretive phenomenological analysis on nurses' experiences resuscitating children in community hospital emergency departments

AIM

To understand the lived experiences of nurses resuscitating children in community hospital emergency departments.

BACKGROUND

Emergency department nurses exposed to paediatric resuscitations are at a high risk of developing post-traumatic stress. This may be especially true in community hospital emergency departments, where nurses have less exposure to, knowledge about, and resources for managing these events. Interventions to proactively prevent nurse trauma in these contexts remain largely uninvestigated. To inform such interventions, a detailed understanding of the largely unknown lived experiences of these nurses is necessary.

DESIGN AND METHODS

In-depth, semi-structured interviews were conducted with four registered nurses that had experienced at least one paediatric resuscitation while working in a community hospital emergency department in Ontario, Canada. Data were analysed using interpretive phenomenological analysis. Reporting follows the COREQ checklist.

RESULTS

Analysis revealed three superordinate themes (i.e. 'Conceptualising Paediatric Resuscitations', 'Seeing What I See', and 'Making Sense of What I Saw') and nine corresponding subthemes.

CONCLUSION

This study provides insight into the infrequent, but profound experiences of nurses resuscitating children in community hospital emergency departments. Nurses, who conceptualise these events as unnatural, emotional, and chaotic, are comforted by those who understand their experiences and are distressed by those who cannot see what they see. To reconcile what they have seen, nurses may reflect and ruminate on the event, ultimately restructuring their experiences of themselves, others, and the world to make room for a new reality where the safety of childhood is not certain.

RELEVANCE TO CLINICAL PRACTICE

Our findings contribute to pragmatic recommendations for interventions to proactively prevent nurse distress in these contexts, including psychoeducation, psychological support and in-situ simulation activities. Nursing leaders should consider staff that have resuscitated children as valuable sources for information on how to improve practice settings.

Maternal Emergency Department Use Before Pregnancy and Infant Emergency Department Use After Birth

IMPORTANCE

Maternal emergency department (ED) use before or during pregnancy is associated with worse obstetrical outcomes, for reasons including preexisting medical conditions and challenges in accessing health care. It is not known whether maternal prepregnancy ED use is associated with higher use of the ED by their infant.

OBJECTIVE

To study the association between maternal prepregnancy ED use and risk of infant ED use in the first year of life.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study included all singleton livebirths in all of Ontario, Canada, from June 2003 to January 2020.

EXPOSURES

Any maternal ED encounter within 90 days preceding the start of the index pregnancy.

MAIN OUTCOMES AND MEASURES

Any infant ED visit up to 365 days after the index birth hospitalization discharge date. Relative risks (RR) and absolute risk differences (ARD) were adjusted for maternal age, income, rural residence, immigrant status, parity, having a primary care clinician, and number of prepregnancy comorbidities.

RESULTS

There were 2 088 111 singleton livebirths; the mean (SD) maternal age was 29.5 (5.4) years, 208 356 (10.0%) were rural dwelling, and 487 773 (23.4%) had 3 or more comorbidities. Among singleton livebirths, 206 539 mothers (9.9%) had an ED visit within 90 days before the index pregnancy. ED use in the first year of life was higher among infants whose mother had visited the ED before pregnancy (570 per 1000) vs those whose mother had not (388 per 1000) (RR, 1.19 [95% CI, 1.18-1.20]; ARD, 91.1 per 1000 [95% CI, 88.6-93.6 per 1000]). Compared with mothers without a prepregnancy ED visit, the RR of infant ED use in the first year was 1.19 (95% CI, 1.18-1.20) if its mother had 1 prepregnancy ED visit, 1.18 (95% CI, 1.17-1.20) following 2 visits, and 1.22 (95% CI, 1.20-1.23) after at least 3 maternal visits. A low-acuity maternal prepregnancy ED visit was associated with an adjusted odds ratio (aOR) of 5.52 (95% CI, 5.16-5.90) for a low-acuity infant ED visit, which was numerically higher than the pairing of a high-acuity ED use between mother and infant (aOR, 1.43, 95% CI, 1.38-1.49).

CONCLUSIONS AND RELEVANCE

In this cohort study of singleton livebirths, prepregnancy maternal ED use was associated with a higher rate of ED use by the infant in the first year of life, especially for low-acuity ED use. This study's results may suggest a useful trigger for health system interventions aimed at reducing some ED use in infancy.

Operational Status of Isolation Rooms in Emergency Departments and Patient Concentration in Higher-Level Emergency Departments in Daegu Metropolitan City and Neighboring Provinces, South Korea, during the COVID-19 Pandemic

BACKGROUND

In a pandemic situation such as the one of the COVID-19 pandemic, nosocomial transmissions attempted to be prevented by initially classifying them in triage. Therefore, emergency departments (EDs) installed isolation rooms at their entrance. Additionally, a system for pre-emptive quarantine at the triage stage was established nationwide for patients with COVID-19-related symptoms.

METHODS

Data were retrospectively collected from 28,609 patients who visited the regional emergency medical center of Yeungnam University Hospital in Daegu Metropolitan City in 2021. The study population was divided into experimental and control groups comprising patients with and without COVID-19-related symptoms, respectively. The difference in the percentage of patients visiting from outside the city was investigated between the two groups. The critically ill patient (CP) ratio was analyzed in the experimental group to verify the appropriateness of visiting a higher-level ED and was further divided into sub-regions to determine their reason for visiting an ED beyond their residential region.

RESULTS

Most lower-level EDs did not have isolation rooms. About 20.1% and 17.3% of patients in the experimental and control groups visited a higher-level ED with an isolation room beyond their residential region, respectively. The absence of an isolation room in the ED in their residential region was one reason for traveling beyond their residential region, with an odds ratio of 4.44 (95% confidence interval: 0.53-8.35).

CONCLUSION

In the process of implementing the "pre-emptive quarantine" system, it was revealed that the cooperation of the lower-level EDs was not effective during the implementation of the "pre-emptive quarantine" system. Consequently, a higher number of patients with COVID-19-related symptoms had to locate an ED with an isolation room and travel a longer distance than general patients. The participation of more EDs is required.

Machine Learning-Based Prediction of Hospital Admission Among Children in an Emergency Care Center

OBJECTIVES

Machine learning-based prediction of hospital admissions may have the potential to optimize patient disposition and improve clinical outcomes by minimizing both undertriage and overtriage in crowded emergency care. We developed and validated the predictive abilities of machine learning-based predictions of hospital admissions in a pediatric emergency care center.

METHODS

A prognostic study was performed using retrospectively collected data of children younger than 16 years who visited a single pediatric emergency care center in Osaka, Japan, between August 1, 2016, and October 15, 2019. Generally, the center treated walk-in children and did not treat trauma injuries. The main outcome was hospital admission as determined by the physician. The 83 potential predictors available at presentation were selected from the following categories: demographic characteristics, triage level, physiological parameters, and symptoms. To identify predictive abilities for hospital admission, maximize the area under the precision-recall curve, and address imbalanced outcome classes, we developed the following models for the preperiod training cohort (67% of the samples) and also used them in the 1-year postperiod validation cohort (33% of the samples): (1) logistic regression, (2) support vector machine, (3) random forest, and (4) extreme gradient boosting.

RESULTS

Among 88,283 children who were enrolled, the median age was 3.9 years, with 47,931 (54.3%) boys and 1985 (2.2%) requiring hospital admission. Among the models, extreme gradient boosting achieved the highest predictive abilities (eg, area under the precision-recall curve, 0.26; 95% confidence interval, 0.25-0.27; area under the receiver operating characteristic curve, 0.86; 95% confidence interval, 0.84-0.88; sensitivity, 0.77; and specificity, 0.82). With an optimal threshold, the positive and negative likelihood ratios were 4.22, and 0.28, respectively.

CONCLUSIONS

Machine learning-based prediction of hospital admissions may support physicians' decision-making for hospital admissions. However, further improvements are required before implementing these models in real clinical settings.

Clinical narrative-aware deep neural network for emergency department critical outcome prediction

Since early identification of potential critical patients in the Emergency Department (ED) can lower mortality and morbidity, this study seeks to develop a machine learning model capable of predicting possible critical outcomes based on the history and vital signs routinely collected at triage. We compare emergency physicians and the predictive performance of the machine learning model. Predictors including patients' chief complaints, present illness, past medical history, vital signs, and demographic data of adult patients (aged ≥ 18 years) visiting the ED at Shuang-Ho Hospital in New Taipei City, Taiwan, are extracted from the hospital's electronic health records. Critical outcomes are defined as in-hospital cardiac arrest (IHCA) or intensive care unit (ICU) admission. A clinical narrative-aware deep neural network was developed to handle the text-intensive data and standardized numerical data, which is compared against other machine learning models. After this, emergency physicians were asked to predict possible clinical outcomes of thirty visits that were extracted randomly from our dataset, and their results were further compared to our machine learning model. A total of 4,308 (2.5 %) out of the 171,275 adult visits to the ED included in this study resulted in critical outcomes. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC) of our proposed prediction model is 0.874 and 0.207, respectively, which not only outperforms the other machine learning models, but even has better sensitivity (0.95 vs 0.41) and accuracy (0.90 vs 0.67) as compared to the emergency physicians. This model is sensitive and accurate in predicting critical outcomes and highlights the potential to use predictive analytics to support post-triage decision-making.

COVID Vaccine Hesitancy and Risk of a Traffic Crash

BACKGROUND

Coronavirus disease (COVID) vaccine hesitancy is a reflection of psychology that might also contribute to traffic safety. We tested whether COVID vaccination was associated with the risks of a traffic crash.

METHODS

We conducted a population-based longitudinal cohort analysis of adults and determined COVID vaccination status through linkages to individual electronic medical records. Traffic crashes requiring emergency medical care were subsequently identified by multicenter outcome ascertainment of all hospitals in the region over a 1-month follow-up interval (178 separate centers).

RESULTS

A total of 11,270,763 individuals were included, of whom 16% had not received a COVID vaccine and 84% had received a COVID vaccine. The cohort accounted for 6682 traffic crashes during follow-up. Unvaccinated individuals accounted for 1682 traffic crashes (25%), equal to a 72% increased relative risk compared with those vaccinated (95% confidence interval, 63-82; P < 0.001). The increased traffic risks among unvaccinated individuals extended to diverse subgroups, was similar to the relative risk associated with sleep apnea, and was equal to a 48% increase after adjustment for age, sex, home location, socioeconomic status, and medical diagnoses (95% confidence interval, 40-57; P < 0.001). The increased risks extended across the spectrum of crash severity, appeared similar for Pfizer, Moderna, or other vaccines, and were validated in supplementary analyses of crossover cases, propensity scores, and additional controls.

CONCLUSIONS

These data suggest that COVID vaccine hesitancy is associated with significant increased risks of a traffic crash. An awareness of these risks might help to encourage more COVID vaccination.

The effect of the COVID-19 pandemic on pediatric asthma-related emergency department visits and hospital admissions in Montréal, Quebec: a retrospective cohort study

BACKGROUND

Asthma is a chronic respiratory condition that affects 10% of Canadian children and is often exacerbated by viral respiratory infections, prompting concerns about the severity of SARS-CoV-2 disease in children with asthma. We compared sociodemographic and clinical characteristics of children presenting to the emergency department and the incidence of these visits, before and during the pandemic.

METHODS

We included children aged 0 to 17 years presenting with asthma to 2 tertiary pediatric emergency departments in Montréal, Quebec, between the prepandemic (Jan. 1, 2017, to Mar. 31, 2020) and pandemic (Apr. 1, 2020, to June 30, 2021) periods. We compared the number of emergency department visits and hospital admissions with an interrupted time series analysis and compared the sociodemographic characteristics based on the Canadian Index of Multiple Deprivation (CIMD) and clinical characteristics (including triage level, intensive care admissions, etc.) with Mann-Whitney and χ² tests.

RESULTS

We examined 22 746 asthma-related emergency department visits. During the pandemic, a greater proportion of patients presented a triage level 1 or 2 (19.3% v. 14.7%) and were admitted to the intensive care unit (2.5% v. 1.3%). The patients' CIMD quintile distributions did not differ between the 2 periods. We found a 47% decrease (relative risk [RR] 0.53, 95% confidence interval [CI] 0.37 to 0.76) in emergency department visits and a 49% decrease (RR 0.51, 95% CI 0.34 to 0.76) in hospital admissions during the pandemic.

INTERPRETATION

The decrease in asthma-related emergency department visits was observed through the third wave of the pandemic, but children presented with a higher acuity and with no identified sociodemographic changes. Future studies are required to understand individual behaviours that may have led to the increased acuity at presentation observed in this study.

Who gets access to an interprofessional team-based primary care programme for patients with complex health and social needs? A cross-sectional analysis

OBJECTIVES

To determine whether a voluntary referral-based interprofessional team-based primary care programme reached its target population and to assess the representativeness of referring primary care physicians.

DESIGN

Cross-sectional analysis of administrative health data.

SETTING

Ontario, Canada.

INTERVENTION

TeamCare provides access to Community Health Centre services for patients of non-team physicians with complex health and social needs.

PARTICIPANTS

All adult patients who participated in TeamCare between 1 April 2015 and 31 March 2017 (n=1148), and as comparators, all non-referred adult patients of the primary care providers who shared patients in TeamCare (n=546 989), and a 1% random sample of the adult Ontario population (n=117 753).

RESULTS

TeamCare patients were more likely to live in lower income neighbourhoods with a higher degree of marginalisation relative to comparison groups. TeamCare patients had a higher mean number of diagnoses, higher prevalence of all chronic conditions and had more frequent encounters with the healthcare system in the year prior to participation.

CONCLUSIONS

TeamCare reached a target population and fills an important gap in the Ontario primary care landscape, serving a population of patients with complex needs that did not previously have access to interprofessional team-based care.

STRENGTHS AND LIMITATIONS

This study used population-level administrative health data. Data constraints limited the ability to identify patients referred to the programme but did not receive services, and data could not capture all relevant patient characteristics.

The Use of Generic Patient-Reported Outcome Measures in Emergency Department Surveys: Discriminant Validity Evidence for the Veterans RAND 12-Item Health Survey and the EQ-5D

OBJECTIVES

This study aimed to compare discriminant validity evidence of 2 generic patient-reported outcome measures (PROMs), the Veterans RAND 12-Item Health Survey (VR-12) and level 5 of EQ-5D (EQ-5D-5L), for use in emergency departments (EDs).

METHODS

Data were obtained via a cross-sectional survey of 5876 patients in British Columbia (Canada) who completed a questionnaire after visiting an ED in 2018. We compared the extent to which the VR-12 and the EQ-5D-5L distinguished among groups of ED patients with different levels of comorbidity burden and self-reported physical and mental or emotional health status. Multivariable logistic regression was used to evaluate the ability of the 2 PROMs to identify patients presenting with a mental health (MH) condition.

RESULTS

All the measures produced small effect sizes (ESs) for discriminating comorbidity levels (R² range: 0.00 [VR-12 mental component summary {MCS}] to 0.10 [VR-12 physical component summary score]). The EQ-5D visual analog scale offered the largest ES for discriminating self-reported physical health (R² = 0.48), whereas the MCS, the VR-12 MH domain, and the EQ-5D-5L anxiety/depression dimension had the largest ESs for discriminating self-reported mental or emotional health (R² = 0.42, 0.40, and 0.38, respectively). The MCS produced a medium ES (R² = 0.42) along with the VR-12 utility score (R² = 0.27) compared with the EQ-5D-5L index (R² = 0.19). Having a MH condition was predominantly identified by the MCS (Pratt index = 0.56).

CONCLUSIONS

The VR-12 PROM provides a more comprehensive measurement of MH than the EQ-5D-5L, which is important to inform healthcare service needs for patients who present in EDs with MH challenges.

Validation of a five-level triage system in pediatric trauma and the effectiveness of triage nurse modification: A multi-center cohort analysis

INTRODUCTION

Triage is one of the most important tasks for nurses in a modern emergency department (ED) and it plays a critical role in pediatric trauma. An appropriate triage system can improve patient outcomes and decrease resource wasting. However, triage systems for pediatric trauma have not been validated worldwide. To ensure clinical reliability, nurses are allowed to override the acuity level at the end of the routine triage process. This study aimed to validate the Taiwan Triage and Acuity Scale (TTAS) for pediatric trauma and evaluate the effectiveness of triage nurse modification.

METHODS

This was a multicenter retrospective cohort study analyzing triage data of all pediatric trauma patients who visited six EDs across Taiwan from 2015 to 2019. Each patient was triaged by a well-trained nurse and assigned an acuity level. Triage nurses can modify their acuity based on their professional judgment. The primary outcome was the predictive performance of TTAS for pediatric trauma, including hospitalization, ED length of stay, emergency surgery, and costs. The secondary outcome was the accuracy of nurse modification and the contributing factors. Multivariate regression was used for data analysis. The Akaike information criterion and C-statistics were utilized to measure the prediction performance of TTAS.

RESULTS

In total, 45,364 pediatric patients were included in this study. Overall mortality, hospitalization, and emergency surgery rates were 0.17, 5.4, and 0.76%, respectively. In almost all cases (97.48%), the triage nurses agreed upon the original scale. All major outcomes showed a significant positive correlation with the upgrade of acuity levels in TTAS in pediatric trauma patients. After nurse modification, the Akaike information criterion decreased and C-statistics increased, indicating better prediction performance. The factors contributing to this modification were being under 6 years of age, heart rate, respiratory rate, and primary location of injuries.

CONCLUSION

The TTAS is a reliable triage tool for pediatric trauma patients. Modification by well-experienced triage nurses can enhance its prediction performance. Younger age, heart rate, respiratory rate, and primary location of injuries contributed to modifications of the triage nurse. Further external validation is required to determine its role in pediatric trauma worldwide.

Clinical Frailty Scale as a predictor of short-term mortality: A systematic review and meta-analysis of studies on diagnostic test accuracy

BACKGROUND

The Clinical Frailty Scale (CFS) is a representative frailty assessment tool in medicine. This systematic review and meta-analysis aimed to examine whether frailty defined based on the CFS could adequately predict short-term mortality in emergency department (ED) patients.

METHODS

The PubMed, EMBASE, and Cochrane libraries were searched for eligible studies until December 23, 2021. We included studies in which frailty was measured by the CFS and short-term mortality was reported for ED patients. All studies were screened by two independent researchers. Sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) values were calculated based on the data extracted from each study. Additionally, the diagnostic odds ratio (DOR) was calculated for effect size analysis, and the area under the curve (AUC) of summary receiver operating characteristics was calculated. Outcomes were in-hospital and 1-month mortality rate for patients with the CFS scores of ≥5, ≥6, and ≥7.

RESULTS

Overall, 17 studies (n = 45,022) were included. Although there was no evidence of publication bias, a high degree of heterogeneity was observed. For the CFS score of ≥5, the PLR, NLR, and DOR values for in-hospital mortality were 1.446 (95% confidence interval [CI] 1.325-1.578), 0.563 (95% CI 0.355-0.893), and 2.728 (95% CI 1.872-3.976), respectively. In addition, the pooled statistics for 1-month mortality were 1.566 (95% CI 1.241-1.976), 0.582 (95% CI 0.430-0.789), and 2.696 (95% CI 1.673-4.345), respectively. Subgroup analysis of trauma patients revealed that the CFS score of ≥5 could adequately predict in-hospital mortality (PLR 1.641, 95% CI 1.242-2.170; NLR 0.580, 95% CI 0.461-0.729; DOR 2.883, 95% CI 1.994-4.168). The AUC values represented sufficient to good diagnostic accuracy.

CONCLUSIONS

Evidence that is published to date suggests that the CFS is an accurate and reliable tool for predicting short-term mortality in emergency patients.