scholarly journals August 24th, 2016 Central Italy Earthquake - Validation of “Modified Utstein Template for Hospital Disaster Response Reporting,” A New Tool for Reporting Hospital’s Reaction to Disasters

2019 ◽  
Vol 34 (s1) ◽  
pp. s4-s5
Author(s):  
Matteo Paganini ◽  
Luca Ragazzoni ◽  
Fabio Rossitto ◽  
Aurora Vecchiato ◽  
Rita Bonfini ◽  
...  

Introduction:After Action Reports analyze events and recommend actions to facilitate preparedness and response to future similar disasters. However, there is no consensus among the templates developed to collect data during disasters and little is known about how to report hospital responses.Aim:The hypothesis was that the use of a new assessment tool for hospital response to natural disasters facilitates the systematic collection of data and the delivery of a scientific report after the event.Methods:A data collection tool, focused on hospital response to natural disasters, was created modifying the “Utstein-Style Template for Uniform Data Reporting of Acute Medical Response in Disasters”,1 and tested the reaction of the hospitals involved in the response to the Central Italy earthquake on August 24th, 2016.Results:Four hospitals were included. The completion rate of the tool was of 97.10%. A total of 613 patients accessed the four emergency departments, most of them in Rieti hospital (178; 29.04%). Three hundred and thirty – six patients were classified as earthquake-related (54.81%), most of which with trauma injuries (260; 77.38%).Discussion:The new reporting tool proved to be easy to use and allowed to retrospectively reconstruct most (97.10%) of the actions implemented by hospital responders. Details about activation, patient fluxes, times, and actions undertaken were easily reconstructed throughout in-field interviews of hospital managers and patients’ charts. Patients were uniformly distributed across the four hospitals, and the hospital capabilities were able to cope with this mass influx of casualties. The Modified Utstein Template for Hospital Disaster Response Reporting is a valid tool for hospital disaster management reporting. This template could be used for a better comprehension of hospital disaster reaction, debriefing activities, and revisions.

2019 ◽  
Vol 14 (2) ◽  
pp. 236-247
Author(s):  
Matteo Paganini ◽  
Luca Ragazzoni ◽  
Fabio Rossitto ◽  
Aurora Vecchiato ◽  
Rita Bonfini ◽  
...  

ABSTRACTBackground:After-action reports analyze events and improve knowledge about how to prevent and react to unexpected situations. Anyway, there is no consensus among the templates developed for disaster events reporting, and there is not a specific model for reporting hospital disaster response.Objective:The study was aimed to pilot the use of a new assessment tool for hospital response to natural disasters.Methods:A data collection tool, focused on hospital disaster response to natural disasters, was created modifying the “Utstein-Style Template for Uniform Data Reporting of Acute Medical Response in Disasters” and tested the reaction of the nearest hospitals to the epicenter after the August 24, 2016, Central Italy earthquake.Results:Four hospitals were included. The completion rate of the tool was 97.10%. A total of 613 patients accessed the 4 emergency departments, most of them in Rieti Hospital (178; 29.04%). Three hundred thirty-six (54.81%) patients were classified as earthquake-related, most with trauma injuries (260; 77.38%).Conclusions:This template seemed to be a valid instrument for hospital disaster management reporting and could be used for better comprehension of hospital disaster reaction, debriefing activities, and hospital disaster plan revisions.


2018 ◽  
Vol 52 (2) ◽  
Author(s):  
Carlos Primero D. Gundran ◽  
Hilton Y. Lam ◽  
Jaifred Christian F. Lopez ◽  
Emelia B. Santamaria ◽  
Anna Cristina A. Tuazon ◽  
...  

Background. Despite existing disaster preparedness policies in the Philippines, there has not been any validated assessment of the quality of disaster medical response, which would require reliable aggregate data on patient diagnoses and management. Objective. This mixed-methods study documented the diagnoses, triage classification and case management of patients seen by Philippine EMS groups who responded to the Typhoon Haiyan disaster in the Philippines in November and December 2013, as well as difficulties associated in gathering these data, using the Utstein-style Template for Uniform Data Reporting of Acute Medical Response in Disasters as framework. Methods. Three hundred (300) individuals vetted by EMS organizations were invited to answer a survey modeled after the Utstein-style template, and submit tallies of patients seen. Out of 52 responses received, policy recommendations were subsequently generated on concerns assessed by the template using the nominal group technique. Results. The submitted data yielded a total of 41,202 patients with information on age, sex, and diagnosis; 19,193 with triage classification; and 27,523 with information on case management. The focus group discussion underlined the absence of a standard communication and information management system. Participants recommended establishing such a system, and highlighted the role of the Department of Health – Health Emergency Management Bureau in coordinating disaster medical response efforts and information management. Conclusion. This study underlines the importance of effective communication, and multisectoral coordination, to generate reliable data and thus, facilitate resource allocation for disaster medical response.


2012 ◽  
Vol 27 (2) ◽  
pp. 213-215 ◽  
Author(s):  
Takashi Nagata ◽  
Yoshinari Kimura ◽  
Masami Ishii

AbstractThe Great East Japan Earthquake occurred on March 11, 2011. In the first 10 days after the event, information about radiation risks from the Fukushima Daiichi nuclear plant was unavailable, and the disaster response, including deployment of disaster teams, was delayed. Beginning on March 17, 2011, the Japan Medical Association used a geographic information system (GIS) to visualize the risk of radiation exposure in Fukushima. This information facilitated the decision to deploy disaster medical response teams on March 18, 2011.Nagata T, Kimura Y, Ishii M. Use of a geographic information system (GIS) in the medical response to the Fukushima nuclear disaster in Japan. Prehosp Disaster Med. 2012;27(2):1-3.


Author(s):  
C. Pezzica ◽  
A. Piemonte ◽  
C. Bleil de Souza ◽  
V. Cutini

<p><strong>Abstract.</strong> This paper identifies the application domain, context of use, processes and goals of low-cost street-level photogrammetry after urban disasters. The proposal seeks a synergy between top-down and bottom-up initiatives carried out by different actors during the humanitarian response phase in data scarce contexts. By focusing on the self-organisation capacities of local people, this paper suggests using collaborative photogrammetry to empower communities hit by disasters and foster their active participation in recovery and reconstruction planning. It shows that this task may prove technically challenging depending on the specifics of the collected imagery and develops a grounded framework to produce user-centred image acquisition guidelines and fit-for-purpose photogrammetric reconstruction workflows, useful in future post-disaster scenarios. To this end, it presents an in-depth analysis of a collaborative photographic mapping initiative undergone by a group of citizen-scientists after the 2016 Central Italy earthquake, followed by the explorative processing of some sample datasets. Specifically, the paper firstly presents a visual ethnographic study of the photographic material uploaded by participants from September 2016 to November 2018 in the two Italian municipalities of Arquata del Tronto and Norcia. Secondly, it illustrates from a technical point of view issues concerning the processing of crowdsourced data (e.g. image filtering, selection, quality, semantic content and 3D model scaling) and discusses the viability of using it to enrich the pool of geo-information available to stakeholders and decision-makers. Final considerations are discussed as part of a grounded framework for future guidelines tailored to multiple goals and data processing scenarios.</p>


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