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Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: The development of a side effect risk assessment tool (ASyMS©-SERAT) for use in patients with breast cancer undergoing adjuvant chemotherapy
Authors: Maguire, Roma
Cowie, Julie
Leadbetter, Clare
McCall, Kathryn
Swingler, Kevin
McCann, Lisa Ann
Kearney, Nora
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Keywords: breast cancer
predictive risk modelling
Issue Date: Jan-2009
Publisher: Sage
Citation: Maguire R, Cowie J, Leadbetter C, McCall K, Swingler K, McCann LA & Kearney N (2009) The development of a side effect risk assessment tool (ASyMS©-SERAT) for use in patients with breast cancer undergoing adjuvant chemotherapy, Journal of Research in Nursing, 14 (1), pp. 27-40.
Abstract: Patients with breast cancer receiving chemotherapy are at risk of developing toxicities which can be severe or life threatening. The aim of this study was to develop and test a side effect risk modeling tool (ASyMS©-SERAT) for use in patients with breast cancer undergoing adjuvant chemotherapy. The study was conducted in two phases. Phase 1 entailed the development of the ASyMS©-SERAT tool using a secondary data set and in collaboration with an expert group of clinicians and an advisory group of patients. In phase 2, the predictive accuracy of the tool was measured using a prospective data set of 24 patients with breast cancer undergoing adjuvant chemotherapy. A high level of accuracy was reported for four of the six symptoms measured (>70%) supporting the future development and application of ASyMS©-SERAT in the prediction of chemotherapy-related toxicity. For patients, such information can be used to target information on side effects that they are likely to experience thereby facilitating the provision of tailored information based on their individual needs. For clinicians, knowing the likelihood of potential side effects can assist them in identifying patients who are at greater risk of developing certain toxicities, facilitating more targeted and cost-effective interventions.
Type: Journal Article
DOI Link:
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Cancer Care Research Centre
Computing Science and Mathematics
University of Stirling
University of Stirling
Computing Science - CSM Dept
Cancer Care Research Centre
HS Research - Stirling

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