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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The effect of the number of request calls on the time from call to hospital arrival: a cross-sectional study of an ambulance record database in Nara prefecture, Japan / 病院への収容要請電話回数が救急搬送時間に与える影響について:奈良県の救急搬送記録を用いた横断研究

Hanaki, Nao 23 March 2017 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(社会健康医学) / 甲第20290号 / 社医博第79号 / 社新制||医||9(附属図書館) / 京都大学大学院医学研究科社会健康医学系専攻 / (主査)教授 小池 薫, 教授 佐藤 俊哉, 教授 中山 健夫 / 学位規則第4条第1項該当 / Doctor of Public Health / Kyoto University / DFAM
2

Florida Adult Trauma Scorecard Methodology and Scene Transportation Choice

Maher, Patricia 01 January 2019 (has links)
Prehospital management of patients who are traumatically injured within the state of Florida starts with the use of the Florida Adult Trauma Scorecard Methodology. The scorecard methodology may indicate that a patient is a Trauma Alert based on applied physiological and other judgment criteria. However, patients may be transported via Helicopter Emergency Medical Services (HEMS) without justified physiological needs. Rawls’ theory of justice posits that a fair and equal distribution of social resources is essential to public wellbeing. To evaluate this premise regarding prehospital trauma transports, archival 2015 data from the Florida Department of Health Trauma Registry was obtained. Using logistic regression, each trauma scorecard assessment criteria was individually and collectively evaluated regarding its predictive likelihood of a scene responder requesting HEMS versus ground ambulance transport. Controlling for trauma center locations, all five of the triage classifications illustrated a significant likelihood (p = 0.000) of HEMS transportation requests. Category 4 (EMS Judgment) predicted the highest likelihood of HEMS transport requests (b = 2.39, Wald X2(1) = 2026.88, OR = 10.9, p = .000, CI [9.83, 12.09]). Categories 4 (14.7%) and 6 (Local Criteria; [25.8%]) illustrated unexpectedly high percentages of emergency department discharge when Trauma Alert patients were HEMS transported. Over triage of patients to HEMS without meeting physiologic criteria provides less than an equal and fair distribution of public and private resources. State-level social change can be realized through HEMS transport criteria modifications applying more stringent application of physiologic patient condition scoring when determining the mode of prehospital scene response transport.

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