Literature DB >> 10534034

Measuring quality and effectiveness of prehospital EMS.

L Moore1.   

Abstract

INTRODUCTION: In today's health care environment, the demand for objective comparative information about the performance of health care organizations and providers has created a need for data-driven evaluation processes. In response, national organizations and federal agencies have established quality indicators, created tools to measure performance according to those indicators, and issued report cards for individual providers, as well as health care organizations.
PURPOSE: Emergency medical services (EMS) systems are no different from other health care systems in the need for objective comparative system information to assist government officials at all levels in establishing relevant policy, selecting appropriate system design, and monitoring system quality and effectiveness. Governmental decision makers, payers, and consumers are demanding objective evidence that they are receiving value and quality for the cost of EMS. EMS systems administrators also require objective feedback about performance that can be used internally to support improvement efforts and externally to demonstrate accountability to the public and other stakeholders. To date, there are few validated indicators of effectiveness and quality in EMS systems. Moreover, most potential indicators have not been studied for use in systemwide evaluation. As a result, there are no universally accepted methods of measurement. The following paper examines traditional efforts to assure quality in EMS systems, while assessing the need to go beyond the traditional to establish measurable indicators of system quality. Valid and measurable indicators will provide a basis for establishing benchmarks of performance. In the future, these benchmarks will facilitate comparisons of a system with itself, as well as with other systems.

Mesh:

Year:  1999        PMID: 10534034     DOI: 10.1080/10903129908958963

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  16 in total

1.  Models of International Emergency Medical Service (EMS) Systems.

Authors:  Sultan Al-Shaqsi
Journal:  Oman Med J       Date:  2010-10

Review 2.  Evaluation of emergency medical services systems: a classification to assist in determination of indicators.

Authors:  C MacFarlane; C A Benn
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

3.  Implementation of a new emergency medical communication centre organization in Finland--an evaluation, with performance indicators.

Authors:  Veronica Lindström; Jukka Pappinen; Ann-Charlotte Falk; Maaret Castrén
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2011-03-31       Impact factor: 2.953

4.  Measuring quality in emergency medical services: a review of clinical performance indicators.

Authors:  Mazen J El Sayed
Journal:  Emerg Med Int       Date:  2011-10-15       Impact factor: 1.112

5.  Developing quality indicators for physician-staffed emergency medical services: a consensus process.

Authors:  Helge Haugland; Marius Rehn; Pål Klepstad; Andreas Krüger
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-02-15       Impact factor: 2.953

6.  Impact of Stressful Events on Motivations, Self-Efficacy, and Development of Post-Traumatic Symptoms among Youth Volunteers in Emergency Medical Services.

Authors:  Eleni Roditi; Moran Bodas; Eli Jaffe; Haim Y Knobler; Bruria Adini
Journal:  Int J Environ Res Public Health       Date:  2019-05-08       Impact factor: 3.390

7.  Factors Impacting Patient Outcomes Associated with Use of Emergency Medical Services Operating in Urban Versus Rural Areas: A Systematic Review.

Authors:  Ahmed Ramdan M Alanazy; Stuart Wark; John Fraser; Amanda Nagle
Journal:  Int J Environ Res Public Health       Date:  2019-05-16       Impact factor: 3.390

8.  Testing quality indicators and proposing benchmarks for physician-staffed emergency medical services: a prospective Nordic multicentre study.

Authors:  Helge Haugland; Anna Olkinuora; Leif Rognås; David Ohlen; Andreas Krüger
Journal:  BMJ Open       Date:  2019-11-03       Impact factor: 2.692

9.  Postal survey methodology to assess patient satisfaction in a suburban emergency medical services system: an observational study.

Authors:  Aaron W Bernard; Christopher J Lindsell; Daniel A Handel; Lindsey Collett; Paul Gallo; Kevin D Kaiser; Donald Locasto
Journal:  BMC Emerg Med       Date:  2007-06-15

10.  Trends of pre-hospital emergency medical services activity over 10 years: a population-based registry analysis.

Authors:  Valérie Pittet; Bernard Burnand; Bertrand Yersin; Pierre-Nicolas Carron
Journal:  BMC Health Serv Res       Date:  2014-09-10       Impact factor: 2.655

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