Current status of emergency department triage in mainland China: A narrative review of the literature

Heart failure misdiagnosed as acute cholecystitis: a case report

BACKGROUND

Heart failure is a clinical syndrome characterized by decreased cardiac output, leading to systemic organ hypoxia and resulting in dyspnea, pulmonary edema, organ congestion, and pleural effusion. Owing to the diverse clinical manifestations of heart failure, early diagnosis can be challenging, and misdiagnosis may occur occasionally. The use of echocardiography and blood brain natriuretic peptide can aid in obtaining a more accurate diagnosis.

CASE PRESENTATION

This article presents two case reports of patients who were misdiagnosed with acute cholecystitis. Both patients were young Mongolia males (age 26 and 39 years) who presented to the emergency department with acute upper abdominal pain, abdominal ultrasound revealed gallbladder enlargement, and blood tests suggested mild elevation of bilirubin levels. However, despite the absence of procalcitonin and C-reactive protein elevation, the patients were admitted to the general surgical department with a diagnosis of "acute cholecystitis." Both patients were given treatment for cholecystitis, but their vital signs did not improve, while later examinations confirmed heart failure. After treatment with diuretics and cardiac glycosides, both patients' symptoms were relieved.

CONCLUSION

We aim to highlight the clinical manifestations of heart failure and differentiate it from rare conditions such as acute cholecystitis. Physicians should make accurate diagnoses on the basis of physical examinations, laboratory testing and imaging, and surveys while avoiding diagnostic heuristics or mindsets. By sharing these two case reports, we hope to increase awareness to prevent potential complications and improve patient outcomes.

Criticality and clinical department prediction of ED patients using machine learning based on heterogeneous medical data

PROBLEM

Emergency triage faces multiple challenges, including limited medical resources and inadequate manual triage nurses, which cause incorrect triage, overcrowding in the emergency department (ED), and long patient waiting time.

OBJECTIVE

This paper aims to propose and validate an accurate and efficient artificial intelligence-based method for effectively ED triage and alleviating the pressure on medical resources.

METHODS

We propose two novel machine learning models, TransNet and TextRNN, for predicting patient severity levels and clinical departments using heterogeneous medical data in ED triage. Our models employ a parallel structure for feature extraction and incorporate an attention mechanism to extract essential information from the fused features, enabling accurate predictions. The models analyze the triage data (2020-2022) from the ED of Beijing University People's Hospital, incorporating variables (demographics, triage vital signs, and chief complaints) to identify patient severity levels and clinical departments. We performed data cleaning, categorization, and encoding first. Then, we divided the available data into a training set (56%), a validation set (24%), and a test set (20%) by random sampling. Finally, our models underwent 5-fold cross-validation and were compared with other state-of-the-art models.

RESULTS

We comprehensively evaluated the proposed models against various Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), Traditional Machine Learning (TML), and Transformer-based (TF) models, achieving excellent performance in predicting triage outcomes. Specifically, TextRNN achieved a prediction success rate of 86.23% [85.86-86.70] for severity levels and 94.30% [94.00-94.46] for clinical departments among 161,198 ED visits. Moreover, TransNet demonstrated higher sensitivities of 84.08% and 90.05% for severity levels and clinical departments, respectively, with specificities of 76.48% and 95.16%. The accuracy of our model is 0.87%, 0.18%, 4.29%, and 1.96%, higher than that of the above four family models on average. Furthermore, our method significantly reduced under-triage by 12.06% and over-triage by 17.92% compared to manual triage.

CONCLUSIONS

Experimental results demonstrated that the proposed models fuse heterogeneous medical data in the triage process, successfully predicting patients' triage outcomes. Our models can improve triage efficiency, reduce the under/over-triage rate, and provide physicians with valuable decision-making support.

Factors affecting the triage decision-making ability of emergency nurses in Northern China: A multi-center descriptive survey

INTRODUCTION

The quality of triage decision-making is a prerequisite for priority treatment of critically ill patients and effective utilization of medical resources. Figuring out how to improve triage decision-making is still a topic around the global emergency department. Hence, this study aims to promote an understanding of triage priority care and clarify the elements influencing triage decision-making ability, offering reference for the future to improve the quality of triage decision-making.

METHOD

A total of 404 emergency nurses from 11 tertiary hospitals in northern China were surveyed by questionnaire, of which 371 valid questionnaires were submitted (effective rate = 91.83 %). One hospital distributed the questionnaire face-to-face, and the other ten used online form.

RESULT

Prior to occupying triage jobs, only a quarter of participants(25.30 %)were qualified. Less than half of emergency nurses (46.60 %) reported taking part in the triage training program. The emergency nurses' triage decision-making ability score was 166.50 ± 26.90(95 %CI 163.75,169.24) in northern China. Gender(P = 0.003), case discussion(P = 0.024), secondary assessment(P = 0.020)and knowledge of triage consensus(P = 0.027) are independent factors influencing triage decision-making ability.

CONCLUSION

Emergency triage practices are less implemented in northern China. The triage decision-making ability of emergency nurses in northern China is at a low level. Providing emergency nurses with diverse opportunities to develop their triage skills, finding effective triage training content, form, and frequency, strengthening implement triage consensus, and wisely managing triage nurse resources would improve triage decision-making.

Influencing Factors and Symbiotic Mechanism of the Integration of Medical Care and Disease Prevention during the COVID-19 Pandemic: A Cross-Sectional Survey of Public Hospital Employees

Background: The COVID-19 outbreak has accelerated the huge difference between medical care and disease prevention in Chinese medical institutions. This study aimed to investigate the relationship between the symbiotic units, environments, models, and effects of the integration of medical care and disease prevention. Methods: This cross-sectional study involved 762 employees of public hospitals in 11 cities in Zhejiang Province by random stratified sampling. We analyzed the influence paths of elements in the mechanism of integration of medical care and disease prevention and the mediating effect of symbiotic models among symbiotic units, symbiotic environments, and effects on this integration. Results: The path coefficient of the symbiotic unit on the symbiosis model was 0.46 (p < 0.001), the path coefficient of the symbiotic environment on the symbiosis model was 0.52 (p < 0.001). The path coefficient of the symbiotic unit and the environment was 0.91 (p < 0.001). The symbiotic models exhibited a partial mediation effect between symbiotic units and the effect of this integration. Sobel test = 3.27, β = 0.152, and the mediating effect accounted for 34.6%. Conclusions: It is suggested that health policymakers and public hospital managers should provide sufficient symbiotic units, establish collaborative symbiotic models, and improve the effects of integration of medical care and disease prevention in public hospitals.

Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management

This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new artificial intelligence technology. This study will use the artificial intelligence algorithm to optimize medical information processing and emergency first aid nursing management process, in order to improve the efficiency of emergency department and first aid efficiency. The successful rescue rates of hemorrhagic shock, coma, dyspnea, and more than three organs injury were 96.7%, 92.5%, 93.7%, and 87.2%, respectively, after the emergency first aid nursing mode was used in the hospital emergency center. The success rates of first aid within three years were compared, which were 91.8%, 93.4%, and 94.2%, respectively, showing an increasing trend year by year. 255 emergency patients in five batches in June and five batches in July were selected as the research objects by convenience sampling method. Among them, 116 cases in June were taken as the experimental group, and 139 cases in July were taken as the control group, which was used to verify the efficiency of the design model in this study. The results showed that the triage time of the two groups was 8.16 ± 2.07 min and 19.21 ± 6.36 min, respectively, and the difference was statistically significant (P < 0.01). The triage coincidence rates were 96.35% and 90.04%, respectively, and the difference was statistically significant (P < 0.05). The research proved that the design of intelligent medical information processing and emergency first aid nursing management research model can effectively improve the triage efficiency of the wounded, assist the efficiency of emergency nursing of medical staff, and improve the survival rate of emergency patients, which is worthy of clinical promotion.

Triage practice in emergency departments in tertiary hospitals across China: A multicenter national descriptive survey

Triage procedure remains at a developing stage in mainland China, and few studies have reported the current status. This study aimed to explore the triage practices presently implemented in emergency departments in mainland China. A descriptive online national survey was administered to nurses with experience in emergency department triage who worked in 64 hospitals in 2019. A total of 361 participants completed the survey. Only 210 nurses (58.2%) used triage systems. Approximately 5% of the participants reported that no nurse was allocated to triage during the evening and night shifts in their emergency departments. Most participants had fewer than 5 years of nursing experience (47%) and emergency nursing experience (58.2%) before fulfilling the triage role. This study shows the variability in triage guidelines as well as the inconsistency between different hospitals in nurses' entry qualifications to triage, in hospital workforce arrangements, and in triage training. These problems underscore the need to unify triage guidelines and to establish reasonable entry qualifications and appropriate workforce arrangements for triage nurses that ensure high triage quality and high levels of patient safety.

Validity of the Taiwan Triage and Acuity Scale in mainland China: a retrospective observational study

OBJECTIVES

The Taiwan Triage and Acuity Scale (TTAS), developed for use in EDs, has been shown to be an excellent tool for triaging patients with high predictive performance, with an area under the receiver operating curve (AUROC) of 0.75. TTAS has been widely used in hospitals in Taiwan since 2010, but its utility has not been studied outside of Taiwan. Thus, the aim of this study was to evaluate the validity of using the TTAS in the ED of a tertiary hospital in mainland China to predict patient outcomes.

METHODS

A retrospective observational study was performed on patients 14 years of age or older attending the ED of a tertiary hospital in mainland China between 1 January 2016 and 31 March 2016. The validity of the TTAS in predicting hospital admission, intensive care unit (ICU) admission, death, ED length of stay (LOS) and ED resource utilisation was evaluated by determining the correlation of these outcomes with the TTAS, AUROC and test characteristics.

RESULTS

A total of 7843 patients were included in this study. There were significant differences between the TTAS categories in disposition, ED LOS and ED resource utilisation (p<0.0001). The TTAS was significantly correlated with patient disposition at discharge, hospital admission, ICU admission and death in the ED (Kendall rank correlations were 0.254, -0.254, -0.079 and -0.071, respectively; p=0.001). The AUROCs for the prediction of hospital admissions, ICU admissions and deaths in the ED were 0.749 (95% CI 0.732 to 0.765), 0.869 (95% CI 0.797 to 0.942) and 0.998 (95% CI 0.995 to 1.000), respectively. Our results demonstrated better performance using the TTAS for predictions of ICU admission and death.

CONCLUSIONS

The TTAS had good validity in predicting patient outcomes and ED resource utilisation in a tertiary hospital in mainland China. Compared with the performance of the TTAS in Taiwan, our results suggest that the TTAS can usefully be applied outside of Taiwan.

The influence of a ban on outpatient intravenous antibiotic therapy among the secondary and tertiary hospitals in China

BACKGROUND

Antimicrobial resistance (AMR) is a serious global public health challenge. Physicians' over-prescription of antibiotics is a major contributor, and intravenous (IV) antibiotic use has been a particular concern in China. To address the rapid fallout of antibiotic overuse, the Chinese government has piloted a ban of IV antibiotics in the outpatient department (OD) with the exemption of paediatrics, emergency department (ED), and inpatient ward of secondary and tertiary hospitals in several provinces.

METHODS

To assess the potential impact of the policy, we conducted a mixed-methods study including 1) interviews about the ban of IV antibiotic use with 68 stakeholders, covering patients, health workers, and policy-makers, from two cities and 2) a hospital case study which collected routine hospital data and survey data with 207 doctors.

RESULTS

Our analyses revealed that the ban of IV antibiotics in the OD led to a reduction in the total and IV antibiotic prescriptions and improved the rational antibiotic prescribing practice in the OD. Nevertheless, the policy has diverted patient flow from OD to ED, inpatient ward, and primary care for IV antibiotic prescriptions. We also found that irrational antibiotic use in paediatrics was neglected. Radical policy implementation, doctors circumvented the regulations, and lack of doctor-patient communication during patient encounters were barriers to the implementation of the ban.

CONCLUSIONS

Future efforts may include 1) to de-escalate both oral and IV antibiotic therapy in paediatric and reduce oral antibiotic therapy among adults in outpatient clinics, 2) to reduce unnecessary referrals by OD doctors to ED, primary care, or inpatient services and better coordinate for patients who clinically need IV antibiotics, 3) to incorporate demand-side tailored measures, such as public education campaigns, and 4) to improve doctor-patient communication. Future research is needed to understand how primary care and other community clinics implement the ban.

Guiding patients to appropriate care: developing Japanese outpatient triage nurse competencies

Japanese patients often seek hospital services without a primary provider’s referral. A triage nurse who is the initial point of contact for a patient is challenged with the task of expertly evaluating the urgency of the condition and selecting the appropriate specialty service for every patient’s needs. A triage nurse must also recognize any conditions requiring emergency medical services instead of a specialty outpatient service. A modified Delphi method was used to establish expert consensus regarding triage nursing competencies for secondary and higher-level health care facilities in Japan.

The initial Delphi round was completed using a questionnaire of 80 competencies that were evaluated by 85 Japanese nurse experts with in-depth knowledge of triage and/or the current Japanese hospital system. Four additional competency items were added based on the experts’ suggestions for a total of 84 items. The experts rated these items on a 7-point Likert scale based on importance. Minimal attrition rate yielded consistent and rich results.

The results were analyzed to identify items rated as very important by the majority. Twenty-two items were included in the final list of competencies. The authors then refined the language and reorganized the items into four proposed domains. The proposed domains and the refined list of competencies provide a foundation for the development of training programs for outpatient triage nurses in the current Japanese health care system.

Comparison of Reliability and Validity of the Chinese Four-Level and Three-District Triage Standard and the Australasian Triage Scale

Emergency triage is an important tool for prioritizing urgent or critical patients, and its effect needs to be investigated and evaluated. This observational study aimed to compare the reliability and validity of the Chinese four-level and three-district triage standard (CHT) and the Australasian Triage Scale (ATS) in an adult emergency department of a general hospital in China. From 2016-01 to 2017-01, twelve nurses independently performed on-site triage of 254 patients and 1552 patients to assess the scales' reliability and validity, respectively. The interrater reliability, as assessed by the weighted k scores, was 0.686 (95% CI 0.608–0.757) for the CHT and 0.731 (95% CI 0.663–0.790) for the ATS, and the k scores between the CHT and the ATS were 0.630 (95% CI 0.594–0.669). Temperature, respiration, pulse, blood oxygen saturation, waiting time, treatment time, emergency disposition, hospitalization rate, and mortality were significantly associated with the triage levels of the CHT and ATS (p < 0.001). The area under the receiver operating characteristic (AUROC) curve values of the CHT and ATS for predicting intensive care treatment were 0.845 (95% CI: 0.825–0.866) and 0.740 (95% CI: 0.715–0.765), respectively. The reliability and validity of the CHT and ATS were moderate, and both of them can be used to identify critical patients in emergency departments. It is necessary to further improve the triage system in terms of structure and content.

Prognostic value of Modified Early Warning Score generated in a Chinese emergency department: a prospective cohort study

OBJECTIVES

This study aimed to validate the performance of the Modified Early Warning Score (MEWS) in a Chinese emergency department and to determine the best cut-off value for in-hospital mortality prediction.

DESIGN

A prospective, single-centred observational cohort study.

SETTING

This study was conducted at a tertiary hospital in South China.

PARTICIPANTS

A total of 383 patients aged 18 years or older who presented to the emergency department from 17 May 2017 through 27 September 2017, triaged as category 1, 2 or 3, were enrolled.

OUTCOMES

The primary outcome was a composite of in-hospital mortality and admission to the intensive care unit. The secondary outcome was using MEWS to predict hospitalised and discharged patients.

RESULTS

A total of 383 patients were included in this study. In-hospital mortality was 13.6% (52/383), and transfer to the intensive care unit was 21.7% (83/383). The area under the receiver operating characteristic curve of MEWS for in-hospital mortality prediction was 0.83 (95% CI 0.786 to 0.881). When predicting in-hospital mortality with the cut-off point defined as 3.5, 158 patients had MEWS >3.5, with a specificity of 66%, a sensitivity of 87%, an accuracy of 69%, a positive predictive value of 28% and a negative predictive value of 97%, respectively.

CONCLUSION

Our findings support the use of MEWS for in-hospital mortality prediction in patients who were triaged category 1, 2 or 3 in a Chinese emergency department. The cut-off value for in-hospital mortality prediction defined in this study was different from that seen in many other studies.

Triage education in rural remote settings: A scoping review

BACKGROUND

Triage is a complex nursing task to prioritise patient care, based on acuity. Triage decisions can affect patient safety and must employ critical thinking. Graduate registered nurses are expected to triage in rural facilities, which is in contrast to current guidelines. The purpose of this review was; to discover how effective education support programs were in developing clinical decision-making skills for graduates at triage; and to determine what is known about triage education support programs for graduate or novice registered nurses undertaking triage in rural and remote settings.

METHOD

A scoping review was undertaken to identify and analyse primary research articles following PRISMA guidelines, sourced from four electronic databases.

RESULTS

6158 retrieved articles were found, after duplicate removal and screening against inclusion/exclusion criteria; fourteen articles were included. Themes included 'variability of triage accuracy and assessment'; 'education qualifications and experience'; and 'training and supervision'.

CONCLUSION

This review demonstrates significant gaps in the literature reporting on this topic area, particularly in the rural context. Common recommendations include standardised triage education strategies, and strategies that account for differences in resourcing levels. Further research is required to attempt to link education strategies in rural contexts to acceptable triage outcomes like triage accuracy.