SYSTEMATIC REVIEW PERFORMANCE EVALUATION SYSTEM IN EMERGENCY MEDICAL SERVICES (EMS)
DOI:
https://doi.org/10.61841/6m2mkv72Keywords:
Emergency Medical Services, performance, structure, process, outcomesAbstract
To find out the indicators that influence the performance evaluation in Emergency Medical Services (EMS). Systematic Review through several stages of making inquiries, identification, eligibility, screening, and assessment / appraisal. Selection process contained in the framework systematically review and the results 5 articles and then each article was summarized and rated with JBI. Data from review and analysis of the five articles in this systematic review, the authors take three indicators that influence the performance evaluation in EMS that is the structure, process, and outcome. Based on a review and analysis from the authors, these indicators include performance index (such as knowledge, skill, medical protocol, out-of-hospital cardiac arrest survival, etc.), that may have different definitions in every institution or country. These indicators are metric that reflects on the performance of a system or process. As the indicator, value rises or falls, it suggests that the system or process is operating better or worse. The indicators that influence the performance evaluation in EMS are the structure, process, and outcomes.
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References
1. Berger, E., 2006. Crossroads: Report calls for EMS standards of care. Annals of Emergency Medicine 48, 142–143. https://doi.org/10.1016/j.annemergmed.2006.06.023
2. Cady, G., 2002. 200 city survey. JEMS 2001 annual report on EMS operational & clinical trends in large, urban areas. JEMS 27, 46–65, 68–70.
3. Hatry, H.P., 2007. Performance Measurement: Getting Results, 2nd edition. ed. Rowman & Littlefield Publishers, Washington, D.C.
4. He, Z., Qin, X., Renger, R., Souvannasacd, E., 2019. Using spatial regression methods to evaluate rural emergency medical services (EMS). The American Journal of Emergency Medicine 37, 1633–1642. https://doi.org/10.1016/j.ajem.2018.11.029
5. Kim, T.H., Lee, K., Shin, S.D., Ro, Y.S., Tanaka, H., Yap, S., Wong, K.D., Ng, Y.Y., Piyasuwankul, T., Leong, B., 2017. Association of the Emergency Medical Services–Related Time Interval with Survival Outcomes of Out-of-Hospital Cardiac Arrest Cases in Four Asian Metropolitan Cities Using the Scoop- and-Run Emergency Medical Services Model. The Journal of Emergency Medicine 53, 688-696.e1. https://doi.org/10.1016/j.jemermed.2017.08.076
6. MacFarlane, C., Benn, C.A., 2003. Evaluation of emergency medical services systems: a classification to assist in determination of indicators. Emerg Med J 20, 188–191. https://doi.org/10.1136/emj.20.2.188
7. Maio, R.F., Garrison, H.G., Spaite, D.W., Desmond, J.S., Gregor, M.A., Stiell, I.G., Cayten, C.G., Chew, J.L., Mackenzie, E.J., Miller, D.R., O’ Malley, P.J., 2002. Emergency Medical Services Outcomes Project (EMSOP) IV: pain measurement in out-of-hospital outcomes research. Ann Emerg Med 40, 172–179. https://doi.org/10.1067/mem.2002.124756
8. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., Group, T.P., 2009. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLOS Medicine 6, e1000097. https://doi.org/10.1371/journal.pmed.1000097
9. Nogueira, L.C., Pinto, L.R., Silva, P.M.S., 2016. Reducing Emergency Medical Service response time via the reallocation of ambulance bases. Health Care Management Science 19, 31–42. https://doi.org/10.1007/s10729-014-9280-4
10. Pittet, V., Burnand, B., Yersin, B., Carron, P.-N., 2014. Trends of pre-hospital emergency medical services activity over 10 years: a population-based registry analysis. BMC Health Services Research 14. https://doi.org/10.1186/1472-6963-14-380
11. Rahman, N.H., Tanaka, H., Shin, S.D., Ng, Y.Y., Piyasuwankul, T., Lin, C.-H., Ong, M.E.H., 2015. Emergency medical services key performance measurement in Asian cities. International Journal of Emergency Medicine 8. https://doi.org/10.1186/s12245-015-0062-7
12. Silber, J.H., Rosenbaum, P.R., Ross, R.N., Ludwig, J.M., Wang, W., Niknam, B.A., Saynisch, P.A., Even- Shoshan, O., Kelz, R.R., Fleisher, L.A., 2014. A Hospital-Specific Template for Benchmarking its Cost and Quality. Health Serv Res 49, 1475–1497. https://doi.org/10.1111/1475-6773.12226
13. Suryanto, Plummer, V., Boyle, M., 2017. EMS Systems in Lower-Middle Income Countries: A Literature Review. Prehospital and Disaster Medicine 32, 64–70. https://doi.org/10.1017/S1049023X1600114X
14. Veronese, J.-P., Wallis, L., Allgaier, R., Botha, R., 2018. Cardiopulmonary resuscitation by Emergency Medical Services in South Africa: Barriers to achieving high quality performance. African Journal of Emergency Medicine 8, 6–11. https://doi.org/10.1016/j.afjem.2017.08.005
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