Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help
dc.contributor.author | Stein, Christopher | |
dc.contributor.author | Wallis, Lee | |
dc.contributor.author | Adetunji, Olufemi | |
dc.date.accessioned | 2021-10-08T07:20:32Z | |
dc.date.available | 2021-10-08T07:20:32Z | |
dc.date.issued | 2015 | |
dc.description.abstract | BACKGROUND: Response time is viewed as a key performance indicator in most emergency medical services (EMS) systems. OBJECTIVE: To determine the effect of increased emergency vehicle numbers on response time performance for priority 1 incidents in an urban EMS system in Cape Town, South Africa, using discrete-event computer simulation. METHOD: A simulation model was created, based on input data from part of the EMS operations. Two different versions of the model were used, one with primary response vehicles and ambulances and one with only ambulances. In both cases the models were run in seven different scenarios. The first scenario used the actual number of emergency vehicles in the real system, and in each subsequent scenario vehicle numbers were increased by adding the baseline number to the cumulative total. RESULTS: The model using only ambulances had shorter response times and a greater number of responses meeting national response time targets than models using primary response vehicles and ambulances. In both cases an improvement in response times and the number of responses meeting national response time targets was observed with the first incremental addition of vehicles. After this the improvements rapidly diminished and eventually became negligible with each successive increase in vehicle numbers. The national response time target for urban areas was never met, even with a seven-fold increase in vehicle numbers. CONCLUSION: The addition of emergency vehicles to an urban EMS system improves response times in priority 1 incidents, but alone is not capable of the magnitude of response time improvement needed to meet the national response time targets. | |
dc.identifier.apacitation | Stein, C., Wallis, L., & Adetunji, O. (2015). Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help. <i>South African Medical Journal</i>, 105(10), 840 - 177. http://hdl.handle.net/11427/34945 | en_ZA |
dc.identifier.chicagocitation | Stein, Christopher, Lee Wallis, and Olufemi Adetunji "Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help." <i>South African Medical Journal</i> 105, 10. (2015): 840 - 177. http://hdl.handle.net/11427/34945 | en_ZA |
dc.identifier.citation | Stein, C., Wallis, L. & Adetunji, O. 2015. Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help. <i>South African Medical Journal.</i> 105(10):840 - 177. http://hdl.handle.net/11427/34945 | en_ZA |
dc.identifier.issn | 0038-2469 | |
dc.identifier.ris | TY - Journal Article AU - Stein, Christopher AU - Wallis, Lee AU - Adetunji, Olufemi AB - BACKGROUND: Response time is viewed as a key performance indicator in most emergency medical services (EMS) systems. OBJECTIVE: To determine the effect of increased emergency vehicle numbers on response time performance for priority 1 incidents in an urban EMS system in Cape Town, South Africa, using discrete-event computer simulation. METHOD: A simulation model was created, based on input data from part of the EMS operations. Two different versions of the model were used, one with primary response vehicles and ambulances and one with only ambulances. In both cases the models were run in seven different scenarios. The first scenario used the actual number of emergency vehicles in the real system, and in each subsequent scenario vehicle numbers were increased by adding the baseline number to the cumulative total. RESULTS: The model using only ambulances had shorter response times and a greater number of responses meeting national response time targets than models using primary response vehicles and ambulances. In both cases an improvement in response times and the number of responses meeting national response time targets was observed with the first incremental addition of vehicles. After this the improvements rapidly diminished and eventually became negligible with each successive increase in vehicle numbers. The national response time target for urban areas was never met, even with a seven-fold increase in vehicle numbers. CONCLUSION: The addition of emergency vehicles to an urban EMS system improves response times in priority 1 incidents, but alone is not capable of the magnitude of response time improvement needed to meet the national response time targets. DA - 2015 DB - OpenUCT DP - University of Cape Town IS - 10 J1 - South African Medical Journal LK - https://open.uct.ac.za PY - 2015 SM - 0038-2469 T1 - Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help TI - Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help UR - http://hdl.handle.net/11427/34945 ER - | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/34945 | |
dc.identifier.vancouvercitation | Stein C, Wallis L, Adetunji O. Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help. South African Medical Journal. 2015;105(10):840 - 177. http://hdl.handle.net/11427/34945. | en_ZA |
dc.language.iso | eng | |
dc.publisher.department | Division of Emergency Medicine | |
dc.publisher.faculty | Faculty of Health Sciences | |
dc.source | South African Medical Journal | |
dc.source.journalissue | 10 | |
dc.source.journalvolume | 105 | |
dc.source.pagination | 840 - 177 | |
dc.source.uri | https://dx.doi.org/10.7196/SAMJnew.8087 | |
dc.subject.other | Ambulances | |
dc.subject.other | Computer Simulation | |
dc.subject.other | Emergency Medical Services | |
dc.subject.other | Humans | |
dc.subject.other | South Africa | |
dc.subject.other | Time Factors | |
dc.subject.other | Urban Health Services | |
dc.title | Meeting national response time targets for priority 1 incidents in an urban emergency medical services system in South Africa: More ambulances won’t help | |
dc.type | Journal Article | |
uct.type.publication | Research | |
uct.type.resource | Journal Article |
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