Impact Factor:1.137 | Ranking:21/36 in Social Sciences, Biomedical | 81/136 in Public, Environmental & Occupational Health | 5-Year Impact Factor:1.396Source:2012 Journal Citation Reports® (Thomson Reuters, 2013)
Alexandra L McCarthy al.mccarthy{at}qut.edu.au Institute of Health and Biomedical Innovation, Queensland University of Technology; Division of Cancer Services, Princess Alexandra Hospital, Australia Peta S Cook University of Tasmania, AustraliaPatsy Yates Institute of Health and Biomedical Innovation, Queensland University of Technology; Division of Cancer Services, Princess Alexandra Hospital, Australia Clinicians often report that currently available methods to assess older patients, including standard clinical consultations, do not elicit the information necessary to make an appropriate cancer treatment recommendation for older cancer patients. An increasingly popular way of assessing the potential of older patients to cope with chemotherapy is a Comprehensive Geriatric Assessment. What constitutes Comprehensive Geriatric Assessment, however, is open to interpretation and varies from one setting to another. Furthermore, Comprehensive Geriatric Assessment’s usefulness as a predictor of fitness for chemotherapy and as a determinant of actual treatment is not well understood. In this article, we analyse how Comprehensive Geriatric Assessment was developed for use in a large cancer service in an Australian capital city. Drawing upon Actor–Network Theory, our findings reveal how, during its development, Comprehensive Geriatric Assessment was made both a tool and a science. Furthermore, we briefly explore the tensions that we experienced as scholars who analyse medico-scientific practices and as practitioner–designers charged with improving the very tools we critique. Our study contributes towards geriatric oncology by scrutinising the medicalisation of ageing, unravelling the practices of standardisation and illuminating the multiplicity of ‘fitness for chemotherapy’. © 2013 SAGE Publications. Los Angeles, London, New Delhi, Singapore and Washington DC
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