Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?

 

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dc.contributor.advisor Welzel, Tyson en_ZA
dc.contributor.author Du Toit, Rene en_ZA
dc.date.accessioned 2015-12-01T08:57:01Z
dc.date.available 2015-12-01T08:57:01Z
dc.date.issued 2015 en_ZA
dc.identifier.citation Du Toit, R. 2015. Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/15478
dc.description.abstract Background: The measurement of, and reporting on clinical outcomes, is an integral part of clinical governance but no consensus has been reached about which measures to use and the validity thereof. Objective: To compare an administrative predictive model (Hospital Standardised Mortality Ratio [HSMR]) with a physiological predictive model (APACHE ®IV) to determine the correlation in the predicted risk adjusted mortality rates. To determine whether stratifying the patients into low (<10%), medium (<50%) or high (>80%) risk bands will lead to more accurate comparisons. Design: Prospective cohort study Setting: 63 critical care units in 34 private acute care facilities across South Africa Methods: Both HSMR and APACHE ®IV are calculated routinely in all participating facilities and the research study will use the data generated. An additional audit process will be implemented to determine and ensure the integrity of the data. Ethics: The healthcare facilities have standard processes in place to ensure confidentiality and the statistician analysing the data is employed by the healthcare group and bound to a confidentiality agreement. Ethics approval has also been obtained by the University of Cape Town ethic committee before the approval of the research proposal. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Emergency Medicine en_ZA
dc.title Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)? en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Health Sciences en_ZA
dc.publisher.department Division of Emergency Medicine en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MPhil en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Du Toit, R. (2015). <i>Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Division of Emergency Medicine. Retrieved from http://hdl.handle.net/11427/15478 en_ZA
dc.identifier.chicagocitation Du Toit, Rene. <i>"Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Division of Emergency Medicine, 2015. http://hdl.handle.net/11427/15478 en_ZA
dc.identifier.vancouvercitation Du Toit R. Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Division of Emergency Medicine, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/15478 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Du Toit, Rene AB - Background: The measurement of, and reporting on clinical outcomes, is an integral part of clinical governance but no consensus has been reached about which measures to use and the validity thereof. Objective: To compare an administrative predictive model (Hospital Standardised Mortality Ratio [HSMR]) with a physiological predictive model (APACHE ®IV) to determine the correlation in the predicted risk adjusted mortality rates. To determine whether stratifying the patients into low (<10%), medium (<50%) or high (>80%) risk bands will lead to more accurate comparisons. Design: Prospective cohort study Setting: 63 critical care units in 34 private acute care facilities across South Africa Methods: Both HSMR and APACHE ®IV are calculated routinely in all participating facilities and the research study will use the data generated. An additional audit process will be implemented to determine and ensure the integrity of the data. Ethics: The healthcare facilities have standard processes in place to ensure confidentiality and the statistician analysing the data is employed by the healthcare group and bound to a confidentiality agreement. Ethics approval has also been obtained by the University of Cape Town ethic committee before the approval of the research proposal. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)? TI - Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)? UR - http://hdl.handle.net/11427/15478 ER - en_ZA


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