dc.contributor.author | Culley, Joan Marie | en |
dc.contributor.author | Tavakoli, Abbas | en |
dc.contributor.author | Svendsen, Erik R. | en |
dc.contributor.author | Craig, Jean B. | en |
dc.date.accessioned | 2013-10-22T20:26:05Z | |
dc.date.available | 2013-10-22T20:26:05Z | |
dc.date.issued | 2013-10-22 | |
dc.identifier.uri | http://hdl.handle.net/10755/303930 | |
dc.description | <p>24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.</p> | en |
dc.description.abstract | <p>Session presented on: Wednesday, July 24, 2013:</p>
<p><strong>Purpose: </strong>On January 6, 2005, a freight train carrying three tanker cars of liquid chlorine was inadvertently switched onto an industrial spur in central Graniteville, South Carolina. The train then crashed into a parked locomotive and derailed. This caused one of the chlorine tankers to rupture and immediately release ~60 tons of chlorine. Chlorine gas infiltrated the town with a population of 7,000. This research focuses on the victims who received emergency care in South Carolina. The objective of presentation is to describe the methods of evaluating currently available triage models for their efficacy in appropriately triaging the surge of patients after an all-hazards disaster.</p>
<p><strong>Methods:</strong> We developed a method for evaluating currently available triage models using extracted data from medical records of the victims from the Graniteville chlorine disaster.</p>
<p><strong>Results: </strong>With our data mapping and decision tree logic, we were successful in employing the available extracted clinical data to estimate triage categories for use in triage effectiveness research.</p>
<p><strong>Conclusion:</strong> The methodology outlined in this paper can be used to assess the performance of triage models after a disaster. The steps are reliable and repeatable and can easily be extended or applied to other disaster datasets.</p> | en |
dc.format | Text-based Document | en |
dc.language.iso | en | en |
dc.subject | Triage Effectiveness Research | en |
dc.subject | All Hazard Mass Casualty Triage | en |
dc.subject | Data Mining Techniques | en |
dc.title | Gleaning data from disaster: A hospital-based data mining method to studying all-hazard triage after a chemical disaster | en |
dc.type | Presentation | en |
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dc.description.note | <p>Items submitted to a conference/event were evaluated/peer-reviewed at the time of abstract submission to the event. No other peer-review was provided prior to submission to the Henderson Repository.</p> | |
dc.type.category | Full-text | en |
dc.evidence.level | N/A | en |
dc.research.approach | N/A | en |
dc.contributor.department | Alpha Xi | en |
dc.author.details | Joan Marie Culley, PhD, MPH, MS, RN, CWOCN; Abbas Tavakoli, DrPH, MPH, ME; Erik R. Svendsen, PhD, MS, BS; Jean B. Craig, PhD, MS, BS | en |
dc.conference.name | 24th International Nursing Research Congress | en |
dc.conference.host | Sigma Theta Tau International | en |
dc.conference.location | Prague, Czech Republic | en |
dc.date.conferenceyear | 2013 | |
dc.description.reviewtype | Abstract Review Only: Reviewed by Event Host | en |
dc.description.acquisition | Proxy-submission | en |