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

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...

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Main Author: Du Toit, Rene
Other Authors: Welzel, Tyson
Format: Thesis
Language:English
Published: Division of Emergency Medicine 2015
Subjects:
Emergency Medicine
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access_status_str Open Access
author Du Toit, Rene
author2 Welzel, Tyson
author_browse Du Toit, Rene
Welzel, Tyson
author_facet Welzel, Tyson
Du Toit, Rene
author_sort Du Toit, Rene
collection Thesis
description 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.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:18.917Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Division of Emergency Medicine
publisherStr Division of Emergency Medicine
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/15478 Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)? Du Toit, Rene Welzel, Tyson Emergency Medicine 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. 2015-12-01T08:57:01Z 2015-12-01T08:57:01Z 2015 Master Thesis Masters MPhil http://hdl.handle.net/11427/15478 eng application/pdf Division of Emergency Medicine Faculty of Health Sciences University of Cape Town
spellingShingle Emergency Medicine
Du Toit, Rene
Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?
thesis_degree_str Master's
title Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?
title_full Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?
title_fullStr Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?
title_full_unstemmed Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?
title_short Risk adjusted mortality rates : Do they differ if bases on administrative data (hospital standardised mortality ratio) versus a physiological predictive model (APACHE IV ®)?
title_sort risk adjusted mortality rates do they differ if bases on administrative data hospital standardised mortality ratio versus a physiological predictive model apache iv r
topic Emergency Medicine
url http://hdl.handle.net/11427/15478
work_keys_str_mv AT dutoitrene riskadjustedmortalityratesdotheydifferifbasesonadministrativedatahospitalstandardisedmortalityratioversusaphysiologicalpredictivemodelapacheiv

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