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Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey

BACKGROUND: Ovarian cancer is usually diagnosed at a late stage when outcomes are poor. Personalised ovarian cancer risk prediction, based on genetic and epidemiological information and risk stratified management in adult women could improve outcomes. Examining health care professionals’ (HCP) attit...

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Autores principales: Hann, Katie E. J., Fraser, Lindsay, Side, Lucy, Gessler, Sue, Waller, Jo, Sanderson, Saskia C., Freeman, Madeleine, Jacobs, Ian, Lanceley, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732525/
https://www.ncbi.nlm.nih.gov/pubmed/29246147
http://dx.doi.org/10.1186/s12905-017-0488-6
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author Hann, Katie E. J.
Fraser, Lindsay
Side, Lucy
Gessler, Sue
Waller, Jo
Sanderson, Saskia C.
Freeman, Madeleine
Jacobs, Ian
Lanceley, Anne
author_facet Hann, Katie E. J.
Fraser, Lindsay
Side, Lucy
Gessler, Sue
Waller, Jo
Sanderson, Saskia C.
Freeman, Madeleine
Jacobs, Ian
Lanceley, Anne
author_sort Hann, Katie E. J.
collection PubMed
description BACKGROUND: Ovarian cancer is usually diagnosed at a late stage when outcomes are poor. Personalised ovarian cancer risk prediction, based on genetic and epidemiological information and risk stratified management in adult women could improve outcomes. Examining health care professionals’ (HCP) attitudes to ovarian cancer risk stratified management, willingness to support women, self-efficacy (belief in one’s own ability to successfully complete a task), and knowledge about ovarian cancer will help identify training needs in anticipation of personalised ovarian cancer risk prediction being introduced. METHODS: An anonymous survey was distributed online to HCPs via relevant professional organisations in the UK. Kruskal-Wallis tests and pairwise comparisons were used to compare knowledge and self-efficacy scores between different types of HCPs, and attitudes toward population-based genetic testing and risk stratified management were described. Content analysis was undertaken of free text responses concerning HCPs willingness to discuss risk management options with women. RESULTS: One hundred forty-six eligible HCPs completed the survey: oncologists (31%); genetics clinicians (30%); general practitioners (22%); gynaecologists (10%); nurses (4%); and ‘others’. Scores for knowledge of ovarian cancer and genetics, and self-efficacy in conducting a cancer risk consultation were generally high but significantly lower for general practitioners compared to genetics clinicians, oncologists, and gynaecologists. Support for population-based genetic testing was not high (<50%). Attitudes towards ovarian cancer risk stratification were mixed, although the majority of participants indicated a willingness to discuss management options with patients. CONCLUSIONS: Larger samples are required to investigate attitudes to population-based genetic testing for ovarian cancer risk and to establish why some HCPs are hesitant to offer testing to all adult female patients. If ovarian cancer risk assessment using genetic testing and non-genetic information including epidemiological information is rolled out on a population basis, training will be needed for HCPs in primary care to enable them to provide appropriate support to women at each stage of the process. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12905-017-0488-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-57325252017-12-21 Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey Hann, Katie E. J. Fraser, Lindsay Side, Lucy Gessler, Sue Waller, Jo Sanderson, Saskia C. Freeman, Madeleine Jacobs, Ian Lanceley, Anne BMC Womens Health Research Article BACKGROUND: Ovarian cancer is usually diagnosed at a late stage when outcomes are poor. Personalised ovarian cancer risk prediction, based on genetic and epidemiological information and risk stratified management in adult women could improve outcomes. Examining health care professionals’ (HCP) attitudes to ovarian cancer risk stratified management, willingness to support women, self-efficacy (belief in one’s own ability to successfully complete a task), and knowledge about ovarian cancer will help identify training needs in anticipation of personalised ovarian cancer risk prediction being introduced. METHODS: An anonymous survey was distributed online to HCPs via relevant professional organisations in the UK. Kruskal-Wallis tests and pairwise comparisons were used to compare knowledge and self-efficacy scores between different types of HCPs, and attitudes toward population-based genetic testing and risk stratified management were described. Content analysis was undertaken of free text responses concerning HCPs willingness to discuss risk management options with women. RESULTS: One hundred forty-six eligible HCPs completed the survey: oncologists (31%); genetics clinicians (30%); general practitioners (22%); gynaecologists (10%); nurses (4%); and ‘others’. Scores for knowledge of ovarian cancer and genetics, and self-efficacy in conducting a cancer risk consultation were generally high but significantly lower for general practitioners compared to genetics clinicians, oncologists, and gynaecologists. Support for population-based genetic testing was not high (<50%). Attitudes towards ovarian cancer risk stratification were mixed, although the majority of participants indicated a willingness to discuss management options with patients. CONCLUSIONS: Larger samples are required to investigate attitudes to population-based genetic testing for ovarian cancer risk and to establish why some HCPs are hesitant to offer testing to all adult female patients. If ovarian cancer risk assessment using genetic testing and non-genetic information including epidemiological information is rolled out on a population basis, training will be needed for HCPs in primary care to enable them to provide appropriate support to women at each stage of the process. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12905-017-0488-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-16 /pmc/articles/PMC5732525/ /pubmed/29246147 http://dx.doi.org/10.1186/s12905-017-0488-6 Text en © The Author(s). 2017 Open AccessThis 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.
spellingShingle Research Article
Hann, Katie E. J.
Fraser, Lindsay
Side, Lucy
Gessler, Sue
Waller, Jo
Sanderson, Saskia C.
Freeman, Madeleine
Jacobs, Ian
Lanceley, Anne
Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
title Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
title_full Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
title_fullStr Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
title_full_unstemmed Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
title_short Health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
title_sort health care professionals’ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732525/
https://www.ncbi.nlm.nih.gov/pubmed/29246147
http://dx.doi.org/10.1186/s12905-017-0488-6
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