Emergency care assessment tool for health facilities
| dc.contributor.advisor | Wallis, Lee | en_ZA |
| dc.contributor.advisor | Calvello, Emilie | en_ZA |
| dc.contributor.author | Bae, Crystal | en_ZA |
| dc.date.accessioned | 2016-07-28T13:32:17Z | |
| dc.date.available | 2016-07-28T13:32:17Z | |
| dc.date.issued | 2016 | en_ZA |
| dc.description | Includes bibliographical references | en_ZA |
| dc.description.abstract | To date, health facilities in Africa have not had an objective measurement tool for evaluating essential emergency service provision. One major obstacle is the lack of consensus on a standardized evaluation framework, applicable across a variety of resource settings. The African Federation for Emergency Medicine has developed an assessment tool, specifically for low- and middle-income countries, via consensus process that assesses provision of key medical interventions. These interventions are referred to as essential emergency signal functions. A signal function represents the culmination of knowledge of interventions, supplies, and infrastructure capable for the management of an emergent condition. These are evaluated for the six specific clinical syndromes, regardless of aetiology, that occur prior to death: respiratory failure, shock, altered mental status, severe pain, trauma, and maternal health. These clinical syndromes are referred to as sentinel conditions. This study used the items deemed "essential", developed by consensus of 130 experts at the African Federation for Emergency Medicine Consensus Conference 2013, to develop a tool, the Emergency Care Assessment Tool (ECAT), incorporating these using signal functions for the specific emergency sentinel conditions. The tool was administered in a variety of settings to allow for the necessary refinement and context modifications before and after administering in each country. Four countries were chosen: Cameroon, Uganda, Egypt, and Botswana, to represent West/Central, East, North, and Southern Africa respectively. To enhance effectiveness, ECAT was used in varying facility levels with different health care providers in each country. This pilot precedes validation studies and future expansive roll out throughout the region. | en_ZA |
| dc.identifier.apacitation | Bae, C. (2016). <i>Emergency care assessment tool for health facilities</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Division of Emergency Medicine. Retrieved from http://hdl.handle.net/11427/20990 | en_ZA |
| dc.identifier.chicagocitation | Bae, Crystal. <i>"Emergency care assessment tool for health facilities."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Division of Emergency Medicine, 2016. http://hdl.handle.net/11427/20990 | en_ZA |
| dc.identifier.citation | Bae, C. 2016. Emergency care assessment tool for health facilities. University of Cape Town. | en_ZA |
| dc.identifier.ris | TY - Thesis / Dissertation AU - Bae, Crystal AB - To date, health facilities in Africa have not had an objective measurement tool for evaluating essential emergency service provision. One major obstacle is the lack of consensus on a standardized evaluation framework, applicable across a variety of resource settings. The African Federation for Emergency Medicine has developed an assessment tool, specifically for low- and middle-income countries, via consensus process that assesses provision of key medical interventions. These interventions are referred to as essential emergency signal functions. A signal function represents the culmination of knowledge of interventions, supplies, and infrastructure capable for the management of an emergent condition. These are evaluated for the six specific clinical syndromes, regardless of aetiology, that occur prior to death: respiratory failure, shock, altered mental status, severe pain, trauma, and maternal health. These clinical syndromes are referred to as sentinel conditions. This study used the items deemed "essential", developed by consensus of 130 experts at the African Federation for Emergency Medicine Consensus Conference 2013, to develop a tool, the Emergency Care Assessment Tool (ECAT), incorporating these using signal functions for the specific emergency sentinel conditions. The tool was administered in a variety of settings to allow for the necessary refinement and context modifications before and after administering in each country. Four countries were chosen: Cameroon, Uganda, Egypt, and Botswana, to represent West/Central, East, North, and Southern Africa respectively. To enhance effectiveness, ECAT was used in varying facility levels with different health care providers in each country. This pilot precedes validation studies and future expansive roll out throughout the region. DA - 2016 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2016 T1 - Emergency care assessment tool for health facilities TI - Emergency care assessment tool for health facilities UR - http://hdl.handle.net/11427/20990 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/20990 | |
| dc.identifier.vancouvercitation | Bae C. Emergency care assessment tool for health facilities. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Division of Emergency Medicine, 2016 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/20990 | en_ZA |
| dc.language.iso | eng | en_ZA |
| dc.publisher.department | Division of Emergency Medicine | en_ZA |
| dc.publisher.faculty | Faculty of Health Sciences | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.subject.other | Emergency Medicine | en_ZA |
| dc.title | Emergency care assessment tool for health facilities | en_ZA |
| dc.type | Master Thesis | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationname | MSc (Med) | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Thesis | en_ZA |
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