Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians

Courtney Macdonald; Danielle Mazza; Martha Hickey; Morgan Hunter; Louise A Keogh; Sandra C Jones; Christobel Saunders; Stephanie Nesci; Roger L Milne; Sue-Anne Mclachlan; John L Hopper; Michael L Friedlander; Jon Emery; Kelly-Anne Phillips

Journal article

Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians

Courtney Macdonald, Danielle Mazza, Martha Hickey, Morgan Hunter, Louise A Keogh, Sandra C Jones, Christobel Saunders, Stephanie Nesci, Roger L Milne, Sue-Anne Mclachlan, John L Hopper, Michael L Friedlander, Jon Emery, Kelly-Anne Phillips

JNCI CANCER SPECTRUM | OXFORD UNIV PRESS | Published : 2021

DOI: 10.1093/jncics/pkaa110

Download PDF

Abstract

Background: This study examined why women and doctors screen for ovarian cancer (OC) contrary to guidelines. Methods: Surveys, based on the Theoretical Domains Framework, were sent to women in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer and family physicians and gynecologists who organized their screening. Results: Of 1264 Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer women, 832 (65.8%) responded. In the past 2 years, 126 (15.1%) had screened. Most of these (n = 101, 80.2%) would continue even if their doctor told them it is ineffective. For women, key OC screening motivators operated in the domains of social role ..

View full abstract

University of Melbourne Researchers

Martha Hickey Author Obstetrics and Gynaecology Royal Women's Hospital/Mercy

Louise Keogh Author Melbourne School of Population and Global Health

Sue-Anne McLachlan Author Medicine - St Vincent's Hospital

Jon Emery Author General Practice

John Hopper Author Melbourne School of Population and Global Health

Related Projects (1)

TRANSLATING EVIDENCE INTO PRACTICE: OPTIMISING AND FACILITATING PREVENTION AND SCREENING IN WOMEN WITH A STRONG FAMILY HISTORY OF BREAST CANCER

Optimization models and methods are widely used in decision problems. Incorporating parameter uncertainty is important in constructing repre..

Grants

Awarded by Cancer Australia

Awarded by National Breast Cancer Foundation

Awarded by Australian National Breast Cancer Foundation

Awarded by Australian National Health and Medical Research Council

Awarded by National Institute of Health USA

Funding Acknowledgements

This research was supported by Cancer Australia and the National Breast Cancer Foundation (PdCCRS #1100868). kConFab and the kConFab Follow-Up Study have received additional funding support from Cancer Australia (809195), the Australian National Breast Cancer Foundation (IF 17), the Australian National Health and Medical Research Council (454508, 288704, 145684), the National Institute of Health USA (1RO1CA159868), the Queensland Cancer Fund, the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia, and the Cancer Foundation of Western Australia.KAP is an Australian National Breast Cancer Foundation Fellow (PRAC17-004).