Literature DB >> 12642542

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

C MacFarlane1, C A Benn.   

Abstract

Emergency medical services (EMS) systems, and prehospital care are difficult to evaluate. Accordingly, the true efficacy and value of such systems are difficult to determine. The multitude of variations and combinations of involved factors makes standardisation and comparison difficult, and universal indicators are hard to develop. Various attempts have been made to determine valid indicators of effectiveness, but there has been little success. Prehospital care has been seen by some as a single entity. As a result, experience from well resourced first world trauma centres has been taken, by many, to be applicable to all prehospital situations. This article attempts to assist in the development of valid EMS indicators of performance and effectiveness by categorising prehospital scenarios into a classification reflecting the reality of their conditions of practice.

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Mesh:

Year:  2003        PMID: 12642542      PMCID: PMC1726053          DOI: 10.1136/emj.20.2.188

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  54 in total

1.  Emergency medical service agency definitions of response intervals.

Authors:  H W Meislin; J B Conn; C Conroy; M Tibbitts
Journal:  Ann Emerg Med       Date:  1999-10       Impact factor: 5.721

Review 2.  Measuring quality and effectiveness of prehospital EMS.

Authors:  L Moore
Journal:  Prehosp Emerg Care       Date:  1999 Oct-Dec       Impact factor: 3.077

3.  Advanced or basic life support for trauma: meta-analysis and critical review of the literature.

Authors:  M Liberman; D Mulder; J Sampalis
Journal:  J Trauma       Date:  2000-10

4.  PHTLS (Prehospital Trauma Life Support) overseas.

Authors:  W Chapleau
Journal:  Emerg Med Serv       Date:  2001-05

5.  Emergency medical services and cultural determinants of an emergency in Karachi, Pakistan.

Authors:  J A Razzak; D C Cone; R Rehmani
Journal:  Prehosp Emerg Care       Date:  2001 Jul-Sep       Impact factor: 3.077

6.  Profile of the prehospital system in Madagascar.

Authors:  G Ramalanjaona
Journal:  Prehosp Emerg Care       Date:  2001 Jul-Sep       Impact factor: 3.077

7.  Emergency medicine in Ukraine: challenges in the post-Soviet era.

Authors:  S W Wright; L B Stack; B R McMurray; S Bolyukh
Journal:  Am J Emerg Med       Date:  2000-11       Impact factor: 2.469

8.  Effect of prehospital thrombolysis on aborting acute myocardial infarction.

Authors:  E J Lamfers; T E Hooghoudt; A Uppelschoten; P W Stolwijk; F W Verheugt
Journal:  Am J Cardiol       Date:  1999-10-15       Impact factor: 2.778

9.  Prehospital intubation in patients with severe head injury.

Authors:  J A Murray; D Demetriades; T V Berne; S J Stratton; H G Cryer; F Bongard; A Fleming; D Gaspard
Journal:  J Trauma       Date:  2000-12

10.  Effect of prehospital advanced life support on outcomes of major trauma patients.

Authors:  M Eckstein; L Chan; A Schneir; R Palmer
Journal:  J Trauma       Date:  2000-04
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  10 in total

1.  The prehospital burden of disease due to trauma in KwaZulu-Natal: the need for Afrocentric trauma systems.

Authors:  Timothy Craig Hardcastle; Melissa Finlayson; Marc van Heerden; Ben Johnson; Candice Samuel; David J J Muckart
Journal:  World J Surg       Date:  2013-07       Impact factor: 3.352

2.  A consensus-based template for documenting and reporting in physician-staffed pre-hospital services.

Authors:  Andreas J Krüger; David Lockey; Jouni Kurola; Stefano Di Bartolomeo; Maaret Castrén; Søren Mikkelsen; Hans Morten Lossius
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2011-11-23       Impact factor: 2.953

3.  Emergency medical services key performance measurement in Asian cities.

Authors:  Nik Hisamuddin Rahman; Hideharu Tanaka; Sang Do Shin; Yih Yng Ng; Thammapad Piyasuwankul; Chih-Hao Lin; Marcus Eng Hock Ong
Journal:  Int J Emerg Med       Date:  2015-04-23

4.  Operational demands on pre-hospital emergency care for burn injuries in a middle-income setting: a study in the Western Cape, South Africa.

Authors:  Rachel L Allgaier; Lucie Laflamme; Lee A Wallis
Journal:  Int J Emerg Med       Date:  2017-01-25

5.  Evolution of emergency medical services in the Kingdom of Bahrain.

Authors:  Feras H Abuzeyad; Ghada Al Qasim; Leena Alqasem; Mudhaffar I Al Farras
Journal:  Int J Emerg Med       Date:  2020-04-28

6.  Development of quality indicators to measure pre-hospital emergency medical services for road traffic injury.

Authors:  Saber Azami-Aghdash; Ahmad Moosavi; Hojatolah Gharaee; Ghader Sadeghi; Haleh Mousavi Isfahani; Alireza Ghasemi Dastgerdi; Mohammad Mohseni
Journal:  BMC Health Serv Res       Date:  2021-03-16       Impact factor: 2.655

7.  Factors impacting on the activation and approach times of helicopter emergency medical services in four Alpine countries.

Authors:  Iztok Tomazin; Miljana Vegnuti; John Ellerton; Oliver Reisten; Guenther Sumann; Janko Kersnik
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-08-20       Impact factor: 2.953

8.  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

9.  A Thailand case study based on quantitative assessment: does a national lead agency make a difference in pre-hospital care development in middle income countries?

Authors:  Paibul Suriyawongpaisal; Wichai Aekplakorn; Rassamee Tansirisithikul
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2014-12-12       Impact factor: 2.953

10.  A national research agenda for pre-hospital emergency medical services in the Netherlands: a Delphi-study.

Authors:  Irene van de Glind; Sivera Berben; Fon Zeegers; Henk Poppen; Margreet Hoogeveen; Ina Bolt; Pierre van Grunsven; Lilian Vloet
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-01-08       Impact factor: 2.953

  10 in total

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