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Stigma as a barrier to diagnosis of lung cancer: patient and general practitioner perspectives

Published online by Cambridge University Press:  09 February 2015

Nicola Scott*
Affiliation:
NSW Public Health Officer Training Program, NSW Ministry of Health, Sydney, Australia School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
Melanie Crane
Affiliation:
School of Public Health, University of Sydney, NSW, Australia
Mayanne Lafontaine
Affiliation:
Cancer Institute NSW, Eveleigh, Sydney, Australia
Holly Seale
Affiliation:
School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
David Currow
Affiliation:
Cancer Institute NSW, Eveleigh, Sydney, Australia
*
Correspondence to: Nicola Scott, Cancer Institute, NSW, P.O. Box 41, Alexandria, NSW 1435, Australia. Email: nicola.scott@cancerinstitute.org.au
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Abstract

The prognosis for people with lung cancer may be worsened by delays in seeking medical help following the onset of symptoms. Previous research has highlighted that patients’ experiences of stigma and blame may contribute to these delays. This short report focuses on stigma as a barrier to diagnosis of lung cancer, from patient and general practitioner (GP) perspectives. Semi-structured interviews were conducted with people diagnosed with lung cancer (n=20) and with GPs (n=10) in New South Wales, Australia. Participants’ experiences of blame and stigma, GPs preconceptions of lung cancer risk and the impact of anti-smoking messaging were explored. Participants reported experiencing stigma owing to a diagnosis of lung cancer. For some, the anticipation of stigma resulted in delays in seeking diagnosis and hence treatment. The sense of blame associated with a lung cancer diagnosis was also reflected in GP interviews. Successful tobacco control activities have increased societal awareness of lung cancer as smoking related and potentially contributed to the participants’ experiences of stigma. Removing blame associated with smoking is central to reducing delays in diagnosis of lung cancer.

Information

Type
Short Report
Copyright
© Cambridge University Press 2015