Anne Lanceley

for the PROMISE study team

Ian Jacobs

Jo Waller

Katie E. J. Hann

Lindsay Fraser

Lucy Side

Madeleine Freeman

Saskia C. Sanderson

Sue Gessler

BMC Women s Health

Katie Hann (4048705)

Lindsay Fraser (4048702)

Lucy Side (547051)

Sue Gessler (4048696)

Jo Waller (3214623)

Saskia Sanderson (3444704)

Madeleine Freeman (4048708)

Ian Jacobs (1986847)

Anne Lanceley (3528989)

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Additional file 1: of Health care professionalsâ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey

Abstract 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

Directory of Open Access Journals

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

© 2017 The Author(s). 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

Hann, KEJ

Fraser, L

Side, L

Gessler, S

Waller, J

Sanderson, SC

Freeman, M

Jacobs, I

Lanceley, A

UNSWorks

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

https://figshare.com/articles/Additional_file_1_of_Health_care_professionals_attitudes_towards_population-based_genetic_testing_and_risk-stratification_for_ovarian_cancer_a_cross-sectional_survey/5708986

Additional file 1: of Health care professionalsâ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey

Abstract

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FigShare

Directory of Open Access Journals

UNSWorks

Additional file 1: of Health care professionalsâ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey

Abstract

Similar works

Full text

Available Versions

FigShare

Directory of Open Access Journals

UNSWorks

Additional file 1: of Health care professionalsâ attitudes towards population-based genetic testing and risk-stratification for ovarian cancer: a cross-sectional survey