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一种针对紧急医疗服务系统的医疗质量评估指标。

A quality of care evaluation measure for emergency medical service systems.

作者信息

Headrick R W, Leonard M S, Goldman J

出版信息

J Med Syst. 1978;2(4):281-301. doi: 10.1007/BF02221895.

DOI:10.1007/BF02221895
PMID:387907
Abstract

This paper presents the development and validation of an emergency medical service (EMS) systems quality of care evaluation measure. The System Input Severity Measure consists of a set of single and multiple injury survival rates that would be expected to occur in an EMS system classified as providing "baseline" advanced life support services. These expected survival rates were developed by a nationwide panel of emergency medicine experts through the use of the Delphi group opinion surveying technique. Validation of the System Input Severity Measure was a twofold process. First, reliability of the results of the Delphi surveying process was validated by comparing the resultant expected survival rates with Illinois Trauma Registry data. Second, the applicability of the measure was validated using data collected in EMS systems generally recognized to be providing exceptional (either superior or inferior) emergency patient care. It was recognized that the development of a comprehensive, large-scale System Input Severity Measure through the use of the Delphi technique alone is impractical. Consequently, a functional relationship between single and multiple injury survival rates was also developed. It appeared that when employed in conjunction with data developed from the Delphi technique, such an approach would make practicable the development of a comprehensive System Input Severity Measure.

摘要

本文介绍了一种紧急医疗服务(EMS)系统护理质量评估措施的开发与验证。系统输入严重程度测量由一组单伤和多伤生存率组成,这些生存率预计会出现在被归类为提供“基线”高级生命支持服务的EMS系统中。这些预期生存率是由全国急诊医学专家小组通过使用德尔菲小组意见调查技术得出的。系统输入严重程度测量的验证是一个双重过程。首先,通过将所得预期生存率与伊利诺伊州创伤登记数据进行比较,验证了德尔菲调查过程结果的可靠性。其次,使用在通常被认为提供卓越(无论是 superior 还是 inferior)急诊患者护理的EMS系统中收集的数据,验证了该测量方法的适用性。人们认识到,仅通过使用德尔菲技术来开发全面、大规模的系统输入严重程度测量是不切实际的。因此,还建立了单伤和多伤生存率之间的函数关系。看来,当与从德尔菲技术得出的数据结合使用时,这种方法将使全面的系统输入严重程度测量的开发变得切实可行。

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