Loading...
Thumbnail Image
Publication

Patient and carer perceived barriers to early presentation and diagnosis of lung cancer: a systematic review.

Abstract
BACKGROUND: Lung cancer is typically diagnosed at a late stage. Early presentation and detection of lung cancer symptoms is critical to improving survival but can be clinically complicated and as yet a robust screening method for diagnosis is not available in routine practice. Accordingly, the barriers to help-seeking behaviour and diagnosis need to be considered. This review aimed to document the barriers to early presentation and diagnosis of lung cancer, based on patient and carer perspectives. METHODS: A systematic review of databases was performed for original, English language articles discussing qualitative research on patient perceived barriers to early presentation and diagnosis of lung cancer. Three major databases were searched: Scopus, PubMed and EBSCOhost. References cited in the selected studies were searched for further relevant articles. RESULTS: Fourteen studies met inclusion criteria for review. Barriers were grouped into three categories: healthcare provider and system factors, patient factors and disease factors. CONCLUSIONS: Studies showed that the most frequently reported barriers to early presentation and diagnosis of lung cancer reported by patients and carers related to poor relationships between GPs and patients, a lack of access to services and care for patients, and a lack of awareness of lung cancer symptoms and treatment. Addressing these barriers offers opportunities by which rates of early diagnosis of lung cancer may be improved.
Type
Journal Article
Type of thesis
Series
Citation
Cassim, S., Chepulis, L. M., Keenan, R., Kidd, J., Firth, M., & Lawrenson, R. (2019). Patient and carer perceived barriers to early presentation and diagnosis of lung cancer: a systematic review. BMC Cancer, 19(1), 25. https://doi.org/10.1186/s12885-018-5169-9
Date
2019-01-08
Publisher
Degree
Supervisors
Rights
© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated