Optimising measurement of comorbidity in South Australian cancer populations /
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(Published version)
Date
2019
Authors
Pule, Maleshwane Lettie
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
thesis
Citation
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Conference Name
Abstract
Cancer patients commonly have other age-related chronic conditions known as comorbidities. Comorbidities can complicate the management of cancer patients and impact on their survival. However, finding the best method to measure and adjust for comorbidity when comparing cancer outcomes between groups is challenging. Internationally developed and commonly used tools have not been validated for use in an Australian cancer population. This thesis aims to find the best method to use by comparing the mortality predictive accuracy of Charlson comorbidity index (CCI), ECI, NCI and C3. Results showed that internationally developed indices are still adequate for measuring comorbidity and predicting mortality in a South Australian cancer population and have the advantage of international consistency in methodology.
School/Discipline
University of South Australia. School of Health Sciences.
School of Health Sciences.
School of Health Sciences.
Dissertation Note
Thesis (PhD(Public Health))--University of South Australia, 2019.
Provenance
Copyright 2019 Makeshwane Lettie Pule.
Description
1 ethesis (xviii, 132 pages) :
illustrations, colour charts.
Includes bibliographical references.
illustrations, colour charts.
Includes bibliographical references.
Access Status
506 0#$fstar $2Unrestricted online access