Comparing the Accuracy of Mass Casualty Triage Systems When Used in an Adult Population

McKee, Courtney H.; Heffernan, Robert W.; Willenbring, Brian D.; Schwartz, Richard B.; Liu, J. Marc; Colella, M. Riccardo; Lerner, E. Brooke

doi:10.1080/10903127.2019.1641579

Cited by 22 publications

(21 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although there is no accepted threshold for minimum accuracy, triage accuracy of approximately 52.43% is comparable to some studies of SALT triage and significantly less than other studies [10,13,15,16]. SALT remains one of the most consistent and accurate triage protocols used today, warranting further research to improve its quality and efficacy in simulation.…”

Section: Discussionmentioning

confidence: 62%

“…Other triage protocols include the Simple Triage and Rapid Treatment (START), Triage Sieve, and Careflight protocols [5][6][7][8][9][10][11][12][13][14]. SALT triage has been demonstrated to have higher accuracy than other types of triage protocols [15,16]. Hospitals and emergency response teams may use desired protocols based on their individual needs.…”

Section: Introductionmentioning

confidence: 99%

“…Studies of multiple triage protocols demonstrate variable levels of accuracy from one protocol to the next [8][9][10][11][12][13][14][15][16]. Variability inaccuracy is likely due to the types of errors made by first response teams [17,18].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy

Hartman

Daines

Seto

et al. 2020

Cureus

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy

Hartman

Daines

Seto

et al. 2020

Cureus

View full text Add to dashboard Cite

show abstract

“…However, a recent study found that neither of the four most popular triage systems for children worked with high accuracy, and each demonstrated an unacceptable amount of undertriage [77]. The challenge of reducing undertriage is also essential for maximizing the accuracy of mass casualty triage systems in the adult population in emergency services [78]. Ultimately, undertriage may cause a potential conflict in the accuracy of triage decisions when applied to different populations.…”

Section: The Reliability Of Triage Decisions/herding Catsmentioning

confidence: 99%

Herding cats: ethics in prehospital triage

2021

View full text Add to dashboard Cite

Objective: Triage can create an ethical slippery slope when providing prehospital emergency health care. In triage decisions, emergency management is like the idiom of “herding cats”, which refers to managing or controlling the chaos and organizing people toward common goals. The purpose of this literature review is to explore the ethical framework of prehospital triage and to provide a critical view of the subject. Methods: Published materials related to “triage”, “ethics”, and “prehospital emergency medicine” were extracted from online databases and books from 1985 until February 2021. The papers were handled in seven themes including the historical basis, the importance of the triage, ethical considerations in prehospital triage, justice, assessment and decision-making, the variability of triage assessment criteria, and the reliability of triage decisions. Except for the historical basis and the importance of triage, the other five groups were discussed with an ethical critique of the content. The methodology in this article is based on a critical interpretation of discussions on triage through ethical approaches. Results: There are three basic ethical approaches to triage: utilitarianism, beneficence, and justice. Due to the historical military basis of triage, results-focused approaches have become more prominent. Ethical values in prehospital triage include the issues of human rights, moral rights, social justice, and beneficence. Ethical difficulties in triage decision-making involve vulnerability, limited resources, the concern of safety, the urgency of the situation, and instability. Triage decisions may be affected by subjective approaches such as the personal values and beliefs of the decision-makers. Conclusions: Three predominant ethical concepts in triage are utilitarianism, beneficence, and justice. The unique dynamics of the field influence triage decision-making in a variety of ways. The way triage is structured makes it more amenable to subjective influences. Considering the differences in prehospital triage models and approaches, there is an important need for an ethical framework that expresses clear values and principles that will guide prehospital emergency caregivers. In this paper, it is suggested that an ethical framework should include the following six headings: basic bioethical principles, distributing scarce resources, decision-making process, community support, assessment criteria, and promote the common good.

show abstract

“…In telemedicine, triage is identified as the patients sorting concept for treating them based on their necessity within a large-scale emergency [4]. In a different context, triage is identified to assess and care for all patients and casualties [8]. Early identification of patients with critical conditions, alongside the stratification upon acceptance of the emergency department, is significantly needed to ensure the quality and integrity of immediate health care response [9].…”

Section: Introductionmentioning

confidence: 99%

A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method

et al. 2020

View full text Add to dashboard Cite

Telemedicine is increasingly used in the modern health care system because it provides health care services to patients amidst distant locations. However, the prioritisation process for patients with multiple chronic diseases (MCDs) over telemedicine is becoming increasingly complex due to diverse and big data generated from multiple disease conditions. To solve such a problem, massive datasets must be collected, and high velocity must be acquired, specifically in real-time processing. This process requires decision-making (DM) regarding the emergency degree of each chronic disease for every patient. Multi-criteria decisionmaking (MCDM) approaches (i.e. direct aggregation, distance measurement and compromise ranking) are the main solutions for dealing with this complex situation. However, each MCDM approach provides a unique rank from those of other methods. By far, the preferred DM approach that can provide an ideal rank better than other approaches has not been established. This study proposes an extension of the technique for reorganising opinion order to interval levels (TROOIL). Such an extension is called Hybrid DM and Voting Method (HDMVM) which is based on different DM approaches (i.e. direct aggregation, distance measurement and compromise ranking). HDMVM is used to prioritise big data of patients with MCDs in real-time through the remote health-monitoring procedure. In this paper, we propose a methodology that is based on three sequential stages. The first stage illustrates how the big data of patients with MCDs can be recognised in the telemedicine environment and identifies the target telemedicine tier in this study. The second stage describes the steps of the proposed HDMVM sequentially. The third stage applies the proposed method by prioritising the case study of big data of patients with MCDs based on the above DM approaches. Moreover, dataset of remote patients with MCDs (n = 500) is adopted, which contains three diseases, namely, chronic heart diseases and high and low blood pressures. The prioritisation results vary among direct aggregation, distance measurement and compromise approaches. The proposed HDMVM effectively provides a uniform and final ranking result for big data of patients with MCDs. A statistical method (i.e. mean) is performed to objectively validate the ranking results. Significant differences between the scores of the groups are identified in the objective validation, signifying identical ranking results. The evaluation of the proposed work with the benchmark study indicates that this study has tackled issues relevant to big data and diversity of MCDM approaches in the prioritisation of patients with MCDs.

show abstract

Comparing the Accuracy of Mass Casualty Triage Systems When Used in an Adult Population

Cited by 22 publications

References 26 publications

Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy

Sort, Assess, Life-Saving Intervention, Triage With Drone Assistance in Mass Casualty Simulation: Analysis of Educational Efficacy

Herding cats: ethics in prehospital triage

A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method

Contact Info

Product

Resources

About