Ebrahimian Abbasali, Masoumi Gholamreza, Jamshidi-Orak Roohangiz, Seyedin Hesam
Nursing Care Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Emergency Management Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Indian J Crit Care Med. 2017 Apr;21(4):205-212. doi: 10.4103/ijccm.IJCCM_49_17.
The number of requests for emergency medical services (EMSs) has increased during the past decade. However, most of the transports are not essential. Therefore, it seems crucial to develop an instrument to help EMS staff accurately identify patients who need pre-hospital care and transportation. The aim of this study was to develop and evaluate the psychometric properties of the Pre-hospital Medical Emergencies Early Warning Scale (Pre-MEWS).
This mixed-method study was conducted in two phases. In the first phase, a qualitative content analysis study was conducted to identify the predictors of medical patients' need for pre-hospital EMS and transportation. In the second phase, the face and the content validity as well as the internal consistency of the scale were evaluated. Finally, the items of the scale were scored and scoring system was presented.
The final version of the scale contained 22 items and its total score ranged from 0 to 54.
Pre-MEWS helps EMS staffs properly understand medical patients' conditions in pre-hospital environments and accurately identify their need for EMS and transportation.
在过去十年中，紧急医疗服务（EMS）的需求数量有所增加。然而，大多数转运并非必要。因此，开发一种工具来帮助EMS工作人员准确识别需要院前护理和转运的患者似乎至关重要。本研究的目的是开发并评估院前医疗紧急情况早期预警量表（Pre-MEWS）的心理测量特性。
这项混合方法研究分两个阶段进行。在第一阶段，进行了一项定性内容分析研究，以确定医疗患者需要院前EMS和转运的预测因素。在第二阶段，评估了该量表的表面效度、内容效度以及内部一致性。最后，对量表的项目进行评分并给出评分系统。
该量表的最终版本包含22个项目，其总分范围为0至54分。
Pre-MEWS有助于EMS工作人员在院前环境中正确了解医疗患者的状况，并准确识别他们对EMS和转运的需求。
