Do We Need a “Coordinating-Emergency Physician” in Mass Casualty Incidents: Four Years Experience (1996–1999) in Bavaria

Background: Understaffing in mass casualty incidents limits flow in the overwhelmed emergency department, which is further compounded by inefficient use of those same human resources. Process mapping analysis of a “Code Orange” exercise at a tertiary academic hospital exposed the failures of telephone-based emergency physician fan-out protocols to address these issues. As such, a quality improvement and patient safety initiative was undertaken to design, implement, and evaluate a new mass casualty incident fan-out mechanism. Aim Statement: By February 2019, emergency physician fan-out will be accomplished within 1 hour of Code Orange declaration, with a response rate greater than 20%. Measures & Design: Process mapping of a Code Orange simulation highlighted telephone fan-out to be ineffective in mobilizing emergency physicians to provide care in mass casualty incidents: available staff were pulled from their usual duties to help unit clerks unsuccessfully reach off-duty physicians by telephone for hours. Stakeholders subsequently identified automation and computerization as a compelling change idea. A de-novo automated bidirectional text-messaging system was thus developed. Early trials were analyzed for process measures including fan-out speed, unit clerk involvement, and physician response rate, with further large-scale tests planned for early 2019. Evaluation/Results: Only 50% of telephone fan-out was completed after a 2-hour exercise despite 3 staff supplementing the 2 on-shift unit clerks, with a 4% physician response rate. In contrast, data from initial trials of the automated system suggest that full fan-out can be performed within 1 hour of Code Orange declaration and require only 1 unit clerk, with text-messages projected to yield higher physician response rates than telephone calls. Early findings have thus far affirmed stakeholder sentiments that automating fan-out can improve speed, unit clerk efficiency, and physician response rate. Discussion/Impact: Automated text-message systems can expedite fan-out protocol in mass casualty incidents, relieve allied health staff strain, and more reliably recruit emergency physicians. Large-scale trials of the novel system are therefore planned for early 2019, with future expansion of the protocol to other medical personnel under consideration. Thus, automated text-message systems can be implemented in urban centres to improve fan-out efficiency and aid overall emergency department flow in mass casualty incidents.

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Prehospital Triage by Lay Person First Responders: A Scoping Review and Proposal for a new Prehospital Triage Tool

Disaster Medicine and Public Health Preparedness ◽

10.1017/dmp.2021.19 ◽

2021 ◽

pp. 1-11

Author(s):

Wesley D Jetten ◽

Jeroen Seesink ◽

Markus Klimek

Keyword(s):

Scoping Review ◽

Life Support ◽

First Responders ◽

Mass Casualty Incident ◽

Mass Casualty ◽

Mass Casualty Incidents ◽

Lay People ◽

Online Databases ◽

Healthcare Experience ◽

Prehospital Triage

Abstract Objective: The primary aim of this study is to review the available tools for prehospital triage in case of mass casualty incidents and secondly, to develop a tool which enables lay person first responders (LPFRs) to perform triage and start basic life support in mass casualty incidents. Methods: In July 2019, online databases were consulted. Studies addressing prehospital triage methods for lay people were analyzed. Secondly, a new prehospital triage tool for LPFRs was developed. Therefore, a search for prehospital triage models available in literature was conducted and triage actions were extracted. Results: The search resulted in 6188 articles, and after screening, a scoping review of 4 articles was conducted. All articles stated that there is great potential to provide accurate prehospital triage by people with no healthcare experience. Based on these findings, and combined with the pre-existing prehospital triage tools, we developed a, not-yet validated, prehospital triage tool for lay people, which may improve disaster awareness and preparedness and might positively contribute to community resilience. Conclusion: The prehospital triage tool for lay person first responders may be useful and may help professional medical first responders to determine faster, which casualties most urgently need help in a mass casualty incident.

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A call for collective learning from mass casualty incidents

Injury ◽

10.1016/j.injury.2021.02.068 ◽

2021 ◽

Author(s):

Amila Ratnayake ◽

Sanjeewa Garusinghe ◽

Miklosh Bala ◽

Tamara J. Worlton

Keyword(s):

Mass Casualty ◽

Collective Learning ◽

Mass Casualty Incidents

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Does Self-reporting Facilitate History Taking in Food Poisoning Mass-casualty Incidents?

Prehospital and Disaster Medicine ◽

10.1017/s1049023x14000764 ◽

2014 ◽

Vol 29 (4) ◽

pp. 417-420 ◽

Cited By ~ 1

Author(s):

Ya-I Hsu ◽

Ying C. Huang

Keyword(s):

Health Care ◽

Medical History ◽

Food Poisoning ◽

Mass Casualty ◽

Mass Casualty Incidents ◽

Control Group ◽

History Taking ◽

Care Providers ◽

Time Required ◽

Experimental Group

AbstractIntroductionMedical history is an important contributor to diagnosis and patient management. In mass-casualty incidents (MCIs), health care providers are often overwhelmed by large numbers of casualties. An efficient, reliable, and affordable method of information collection is essential for effective health care response.Hypothesis/ProblemIn some MCIs, self-reporting of symptoms can decrease the time required for history taking, without sacrificing the completeness of triage information.MethodsTwo resident doctors and a number of seventh graders who had previous experience of abdominal discomfort were invited to join this study. A questionnaire was developed to collect information on common symptoms in food poisoning. Each question was scored, and enrolled students were randomly divided into two groups. The experimental group students answered the questionnaire first and then were interviewed to complete the medical history. The control group students were interviewed in the traditional way to collect medical history. Time of all interviews was measured and recorded. The time needed to complete the history taking and completeness of obtained information were compared with students’ t tests, or Mann-Whitney U tests, based on the normality of data. Comprehensibility of each question, scored by enrolled students, was reported by descriptive statistics.ResultsThere were 41 students enrolled: 22 in the experimental group and 19 in the control group. Time to complete history taking in the experimental group (163.0 seconds, SD=52.3) was shorter than that in the control group (198.7 seconds, SD=40.9) (P=.010). There was no difference in the completeness of history obtained between the experimental group and the control group (94.8%, SD=5.0 vs 94.2%, SD=6.1; P=.747). Between the two doctors, no significant difference was found in the time required for history taking (185.2 seconds, SD=42.2 vs 173.1 seconds, SD=58.6; P=.449), or the completeness of information (94.1%, SD=5.9 vs 95.0%, SD=5.0; P=.601). Most of the questions were scored “good” in comprehensibility.ConclusionSelf-reporting of symptoms can shorten the time of history taking during a food poisoning mass-casualty event without sacrificing the completeness of information.HsuY, HuangYC. Does self-reporting facilitate history taking in food poisoning mass-casualty incidents?Prehosp Disaster Med. 2014;29(4):1-4.

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An internet-based bar code tracking system: coordination of confusion at mass casualty incidents

Disaster Management & Response ◽

10.1016/s1540-2487(03)70007-8 ◽

2003 ◽

Vol 1 (1) ◽

pp. 25-28 ◽

Cited By ~ 11

Author(s):

Jeff Hamilton

Keyword(s):

Tracking System ◽

Mass Casualty ◽

Mass Casualty Incidents ◽

Bar Code ◽

Code Tracking

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Using Baseline Data to Address the Lack of Hospital Beds during Mass-Casualty Incidents

Prehospital and Disaster Medicine ◽

10.1017/s1049023x0000604x ◽

2008 ◽

Vol 23 (4) ◽

pp. 377-379 ◽

Cited By ~ 1

Author(s):

Hysham Hadef ◽

Jean-Claude Bartier ◽

Herve Delplancq ◽

Jean-Pierre Dupeyron

Keyword(s):

Medical Personnel ◽

Mass Casualty ◽

Baseline Data ◽

Mass Casualty Incidents ◽

Free Access ◽

Data Systems ◽

Hospital Beds ◽

Access Information ◽

Data Program ◽

Information Database

AbstractThe management of victims during mass-casualty incidents (MCIs) is improving. In many countries, physicians and paramedics are well-trained to manage these incidents. A problem that has been encountered during MCIs is the lack of adequate numbers of hospital beds to accommodate the injured. In Europe, hospitals are crowded. One solution for the lack of beds is the creation of baseline data systems that could be consulted by medical personnel in all European countries. A MCI never has occurred in northeastern Europe, but such an event remains a possibility. This paper describes how the use of SAGEC 67, a free-access, information database concerning the availability of beds should help the participating countries, initially France, Germany, and Switzerland, respond to a MCI by dispatching each patient to an appropriate hospital and informing their families and physicians using their own language.Baseline data for more than 20 countries, and for hospitals, especially those in Germany, Switzerland, and France, were collected. Information about the number of beds and their availability hour-by-hour was included. In the case of MCIs, the baseline data program is opened and automatically connects to all of the countries. In case of a necessary hospital evacuation, the required beds immediately are occupied in one of these three countries.Questions and conversations among medical staff or family members can be accomplished between hospitals through computer, secured-line chatting that automatically translates into appropriate language.During the patient evacuation phase of a MCI, respondents acknowledged that a combination of local, state, and private resources and international cooperation eventually would be needed to meet the demand. Patient evacuation is optimized through the use of SAGEC 67, a free baseline database.

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