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Woof VG, McWilliams L, Evans DG, Howell A, French DP. Illness risk representations underlying women's breast cancer risk appraisals: A theory-informed qualitative analysis. Br J Health Psychol 2025; 30:e12792. [PMID: 40078028 PMCID: PMC11904388 DOI: 10.1111/bjhp.12792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 02/27/2025] [Indexed: 03/14/2025]
Abstract
OBJECTIVES This study assessed the utility of Cameron's Illness Risk Representation (IRR) framework in understanding how women interpret their breast cancer risk after receiving a clinically derived estimate. DESIGN Secondary qualitative analysis of two studies within the BC-Predict trial, using semi-structured telephone interviews with women aged 47-74 who received breast cancer risk estimates via population screening. METHODS Forty-eight women were informed of their 10-year breast cancer risk (low (<1.5% risk), average (1.5-4.99%), above-average (moderate; 5-7.99%) and high (≥8%)). Moderate- and high-risk women were eligible for enhanced preventive management. Women were interviewed about their risk, with data analysed using a thematic framework approach. RESULTS Causal representations of breast cancer were often incomplete, with women primarily relying on family history and health-related behaviours to understand their risk. This reliance shaped pre-existing expectations and led to uncertainty about unfamiliar risk factors. As women aged, concerns about breast cancer susceptibility became more prominent. Emotional reactions to risk communication, along with the physical implications of risk management strategies, were also considered. Women were knowledgeable about early detection and prevention strategies, showing agency in reducing risk and preventing aggressive cancers. CONCLUSIONS The IRR framework largely explained women's breast cancer risk appraisals but adaptations could enhance its applicability. The identity construct could be redefined and combined with the causal construct. The framework should also consider the extent to which pre-existing appraisals change after receiving a clinical-derived risk estimate. Healthcare professionals should assess women's knowledge before communicating personal risk estimates to reduce doubt and the impact of unfamiliar information.
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Affiliation(s)
| | | | - D Gareth Evans
- University of Manchester, Manchester, UK
- The Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Anthony Howell
- University of Manchester, Manchester, UK
- The Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
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2
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Walker MJ, Neely A, Antoniou AC, Broeders MJM, Brooks JD, Carver T, Chiquette J, Easton DF, Eisen A, Eloy L, Evans DGR, Fienberg S, Joly Y, Kim RH, Knoppers BM, Lofters AK, Nabi H, Pashayan N, Stockley TL, Dorval M, Simard J, Chiarelli AM. Barriers and Facilitators to Delivering Multifactorial Risk Assessment and Communication for Personalized Breast Cancer Screening: A Qualitative Study Exploring Implementation in Canada. Curr Oncol 2025; 32:155. [PMID: 40136359 PMCID: PMC11941251 DOI: 10.3390/curroncol32030155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Revised: 02/21/2025] [Accepted: 03/03/2025] [Indexed: 03/27/2025] Open
Abstract
Many jurisdictions are considering a shift to risk-stratified breast cancer screening; however, evidence on the feasibility of implementing it on a population scale is needed. We conducted a prospective cohort study in the PERSPECTIVE I&I project to produce evidence on risk-stratified breast screening and recruited 3753 participants to undergo multifactorial risk assessment from 2019-2021. This qualitative study explored the perspectives of study personnel on barriers and facilitators to delivering multifactorial risk assessment and risk communication. One focus group and three one-on-one interviews were conducted and a thematic analysis conducted which identified five themes: (1) barriers and facilitators to recruitment for multifactorial risk assessment, (2) barriers and facilitators to completion of the risk factor questionnaire, (3) additional resources required to implement multifactorial risk assessment, (4) the need for a person-centered approach, and (5) and risk literacy. While risk assessment and communication processes were successful overall, key barriers were identified including challenges with collecting comprehensive breast cancer risk factor information and limited resources to execute data collection and risk communication activities on a large scale. Risk assessment and communication processes will need to be optimized for large-scale implementation to ensure they are efficient but robust and person-centered.
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Affiliation(s)
- Meghan J. Walker
- Ontario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada; (A.N.); (A.E.); (S.F.); (R.H.K.); (A.M.C.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A1, Canada; (J.D.B.); (A.K.L.)
| | - Anna Neely
- Ontario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada; (A.N.); (A.E.); (S.F.); (R.H.K.); (A.M.C.)
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge CB1 8RN, UK; (A.C.A.); (T.C.); (D.F.E.); (N.P.)
| | - Mireille J. M. Broeders
- IQ Health Science Department, Radboud University Medical Center, 6525 EP Nijmegen, The Netherlands;
| | - Jennifer D. Brooks
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A1, Canada; (J.D.B.); (A.K.L.)
| | - Tim Carver
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge CB1 8RN, UK; (A.C.A.); (T.C.); (D.F.E.); (N.P.)
| | - Jocelyne Chiquette
- CHU de Québec-Université Laval Research Center, Québec City, QC G1V 4G2, Canada; (J.C.); (H.N.); (M.D.)
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge CB1 8RN, UK; (A.C.A.); (T.C.); (D.F.E.); (N.P.)
| | - Andrea Eisen
- Ontario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada; (A.N.); (A.E.); (S.F.); (R.H.K.); (A.M.C.)
- Sunnybrook Health Science Center, Toronto, ON M4N 3M5, Canada
| | - Laurence Eloy
- Programme Québécois de Cancérologie, Ministère de la Santé et des Services Sociaux, Quebec City, QC G1S 2M1, Canada;
| | - D. Gareth R. Evans
- Department of Medical Genetics and Cancer Epidemiology, The University of Manchester, Manchester M13 9PL, UK;
| | - Samantha Fienberg
- Ontario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada; (A.N.); (A.E.); (S.F.); (R.H.K.); (A.M.C.)
| | - Yann Joly
- Centre of Genomics and Policy, McGill University, Montreal, QC H3A 0G1, Canada; (Y.J.); (B.M.K.)
| | - Raymond H. Kim
- Ontario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada; (A.N.); (A.E.); (S.F.); (R.H.K.); (A.M.C.)
- Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Bartha M. Knoppers
- Centre of Genomics and Policy, McGill University, Montreal, QC H3A 0G1, Canada; (Y.J.); (B.M.K.)
| | - Aisha K. Lofters
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A1, Canada; (J.D.B.); (A.K.L.)
- Women’s College Research Institute, Toronto, ON M5G 1N8, Canada
| | - Hermann Nabi
- CHU de Québec-Université Laval Research Center, Québec City, QC G1V 4G2, Canada; (J.C.); (H.N.); (M.D.)
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada
- Cancer Research Center, Université Laval, Quebec City, QC G1R 3S3, Canada
| | - Nora Pashayan
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge CB1 8RN, UK; (A.C.A.); (T.C.); (D.F.E.); (N.P.)
| | - Tracy L. Stockley
- Division of Clinical Laboratory Genetics, University Health Network, Toronto, ON M5G 2C4, Canada;
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michel Dorval
- CHU de Québec-Université Laval Research Center, Québec City, QC G1V 4G2, Canada; (J.C.); (H.N.); (M.D.)
- Cancer Research Center, Université Laval, Quebec City, QC G1R 3S3, Canada
- Faculty of Pharmacy, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Jacques Simard
- CHU de Québec-Université Laval Research Center, Québec City, QC G1V 4G2, Canada; (J.C.); (H.N.); (M.D.)
- Cancer Research Center, Université Laval, Quebec City, QC G1R 3S3, Canada
- Department of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, QC G1V 4G2, Canada
| | - Anna M. Chiarelli
- Ontario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada; (A.N.); (A.E.); (S.F.); (R.H.K.); (A.M.C.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A1, Canada; (J.D.B.); (A.K.L.)
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Wright SJ, Gray E, Rogers G, Donten A, Payne K. A structured process for the validation of a decision-analytic model: application to a cost-effectiveness model for risk-stratified national breast screening. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2024; 22:527-542. [PMID: 38755403 PMCID: PMC11178649 DOI: 10.1007/s40258-024-00887-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/30/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Decision-makers require knowledge of the strengths and weaknesses of decision-analytic models used to evaluate healthcare interventions to be able to confidently use the results of such models to inform policy. A number of aspects of model validity have previously been described, but no systematic approach to assessing the validity of a model has been proposed. This study aimed to consolidate the different aspects of model validity into a step-by-step approach to assessing the strengths and weaknesses of a decision-analytic model. METHODS A pre-defined set of steps were used to conduct the validation process of an exemplar early decision-analytic-model-based cost-effectiveness analysis of a risk-stratified national breast cancer screening programme [UK healthcare perspective; lifetime horizon; costs (£; 2021)]. Internal validation was assessed in terms of descriptive validity, technical validity and face validity. External validation was assessed in terms of operational validation, convergent validity (or corroboration) and predictive validity. RESULTS The results outline the findings of each step of internal and external validation of the early decision-analytic-model and present the validated model (called 'MANC-RISK-SCREEN'). The positive aspects in terms of meeting internal validation requirements are shown together with the remaining limitations of MANC-RISK-SCREEN. CONCLUSION Following a transparent and structured validation process, MANC-RISK-SCREEN has been shown to have satisfactory internal and external validity for use in informing resource allocation decision-making. We suggest that MANC-RISK-SCREEN can be used to assess the cost-effectiveness of exemplars of risk-stratified national breast cancer screening programmes (NBSP) from the UK perspective. IMPLICATIONS A step-by-step process for conducting the validation of a decision-analytic model was developed for future use by health economists. Using this approach may help researchers to fully demonstrate the strengths and limitations of their model to decision-makers.
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Affiliation(s)
- Stuart J Wright
- Division of Population Health, Health Services Research and Primary Care, Manchester Centre for Health Economics, The University of Manchester, Oxford Road, Manchester, M139PL, UK.
| | - Ewan Gray
- GRAIL, New Penderel House 4th Floor, 283-288 High Holborn, London, WC1V 7HP, UK
| | - Gabriel Rogers
- Division of Population Health, Health Services Research and Primary Care, Manchester Centre for Health Economics, The University of Manchester, Oxford Road, Manchester, M139PL, UK
| | - Anna Donten
- Division of Population Health, Health Services Research and Primary Care, Manchester Centre for Health Economics, The University of Manchester, Oxford Road, Manchester, M139PL, UK
| | - Katherine Payne
- Division of Population Health, Health Services Research and Primary Care, Manchester Centre for Health Economics, The University of Manchester, Oxford Road, Manchester, M139PL, UK
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4
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Kelley Jones C, Scott S, Pashayan N, Morris S, Okan Y, Waller J. Risk-Adapted Breast Screening for Women at Low Predicted Risk of Breast Cancer: An Online Discrete Choice Experiment. Med Decis Making 2024; 44:586-600. [PMID: 38828503 PMCID: PMC11283735 DOI: 10.1177/0272989x241254828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/08/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND A risk-stratified breast screening program could offer low-risk women less screening than is currently offered by the National Health Service. The acceptability of this approach may be enhanced if it corresponds to UK women's screening preferences and values. OBJECTIVES To elicit and quantify preferences for low-risk screening options. METHODS Women aged 40 to 70 y with no history of breast cancer took part in an online discrete choice experiment. We generated 32 hypothetical low-risk screening programs defined by 5 attributes (start age, end age, screening interval, risk of dying from breast cancer, and risk of overdiagnosis), the levels of which were systematically varied between the programs. Respondents were presented with 8 choice sets and asked to choose between 2 screening alternatives or no screening. Preference data were analyzed using conditional logit regression models. The relative importance of attributes and the mean predicted probability of choosing each program were estimated. RESULTS Participants (N = 502) preferred all screening programs over no screening. An older starting age of screening, younger end age of screening, longer intervals between screening, and increased risk of dying had a negative impact on support for screening programs (P < 0.01). Although the risk of overdiagnosis was of low relative importance, a decreased risk of this harm had a small positive impact on screening choices. The mean predicted probabilities that risk-adapted screening programs would be supported relative to current guidelines were low (range, 0.18 to 0.52). CONCLUSIONS A deintensified screening pathway for women at low risk of breast cancer, especially one that recommends a later screening start age, would run counter to women's breast screening preferences. Further research is needed to enhance the acceptability of offering less screening to those at low risk of breast cancer. HIGHLIGHTS Risk-based breast screening may involve the deintensification of screening for women at low risk of breast cancer.Low-risk screening pathways run counter to women's screening preferences and values.Longer screening intervals may be preferable to a later start age.Work is needed to enhance the acceptability of a low-risk screening pathway.
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Affiliation(s)
| | - Suzanne Scott
- Professor of Health Psychology, Queen Mary University London, London, UK
| | - Nora Pashayan
- Professor of Applied Cancer Research, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Stephen Morris
- Rand Professor of Health Services Research, Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Yasmina Okan
- Department of Communication, Pompeu Fabra University, Barcelona, Spain
- Centre for Decision Research, Leeds University Business School, Leeds, UK
| | - Jo Waller
- Professor of Cancer Behavioural Science, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
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5
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Dunlop KLA, Singh N, Robbins HA, Zahed H, Johansson M, Rankin NM, Cust AE. Implementation considerations for risk-tailored cancer screening in the population: A scoping review. Prev Med 2024; 181:107897. [PMID: 38378124 PMCID: PMC11106520 DOI: 10.1016/j.ypmed.2024.107897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/10/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Risk-tailored screening has emerged as a promising approach to optimise the balance of benefits and harms of existing population cancer screening programs. It tailors screening (e.g., eligibility, frequency, interval, test type) to individual risk rather than the current one-size-fits-all approach of most organised population screening programs. However, the implementation of risk-tailored cancer screening in the population is challenging as it requires a change of practice at multiple levels i.e., individual, provider, health system levels. This scoping review aims to synthesise current implementation considerations for risk-tailored cancer screening in the population, identifying barriers, facilitators, and associated implementation outcomes. METHODS Relevant studies were identified via database searches up to February 2023. Results were synthesised using Tierney et al. (2020) guidance for evidence synthesis of implementation outcomes and a multilevel framework. RESULTS Of 4138 titles identified, 74 studies met the inclusion criteria. Most studies in this review focused on the implementation outcomes of acceptability, feasibility, and appropriateness, reflecting the pre-implementation stage of most research to date. Only six studies included an implementation framework. The review identified consistent evidence that risk-tailored screening is largely acceptable across population groups, however reluctance to accept a reduction in screening frequency for low-risk informed by cultural norms, presents a major barrier. Limited studies were identified for cancer types other than breast cancer. CONCLUSIONS Implementation strategies will need to address alternate models of delivery, education of health professionals, communication with the public, screening options for people at low risk of cancer, and inequity in outcomes across cancer types.
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Affiliation(s)
- Kate L A Dunlop
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia; Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
| | - Nehal Singh
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Hilary A Robbins
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Hana Zahed
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Nicole M Rankin
- Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Victoria, Australia; Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Anne E Cust
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia; Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
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6
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Loft LH, Pedersen LH, Bigaard J, Bojesen SE. Attitudes towards risk-stratified breast cancer screening: a population-based survey among 5,001 Danish women. BMC Cancer 2024; 24:347. [PMID: 38504201 PMCID: PMC10949660 DOI: 10.1186/s12885-024-12083-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/04/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND The individual woman's risk of being diagnosed with breast cancer can now be estimated more precisely, and screening can be stratified accordingly. The risk assessment requires that women are willing to provide a blood test, additional personal information, to know their risk, and alter screening intervals. This study aimed to investigate Danish women's attitudes towards risk-stratified breast cancer screening. METHODS An online, cross-sectional survey was conducted among Danish women aged 52-67 years. We used logistic regression analyses to assess how personal characteristics were associated with the women's attitudes. RESULTS 5,001 women completed the survey (response rate 44%) of which 74% approved of risk estimation to potentially alter their screening intervals. However, only 42% would accept an extended screening interval if found to have low breast cancer risk, while 89% would accept a reduced interval if at high risk. The main determinants of these attitudes were age, education, screening participation, history of breast cancer, perceived breast cancer risk and to some extent breast cancer worry. CONCLUSION This study indicates that women are positive towards risk-stratified breast cancer screening. However, reservations and knowledge among subgroups of women must be carefully considered and addressed before wider implementation of risk-stratified breast cancer screening in a national program.
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Affiliation(s)
- Louise Hougaard Loft
- Prevention and Information Dept, Danish Cancer Society, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
| | - Line Hjøllund Pedersen
- Prevention and Information Dept, Danish Cancer Society, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
- Science to Society Dept, Danish Cancer Institute, Danish Cancer Society, Copenhagen, Denmark
| | - Janne Bigaard
- Prevention and Information Dept, Danish Cancer Society, Strandboulevarden 49, DK-2100, Copenhagen, Denmark.
| | - Stig Egil Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospitals, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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7
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Woof VG, McWilliams L, Howell A, Evans DG, French DP. How do women at increased risk of breast cancer make sense of their risk? An interpretative phenomenological analysis. Br J Health Psychol 2023; 28:1169-1184. [PMID: 37395149 PMCID: PMC10947456 DOI: 10.1111/bjhp.12678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/08/2023] [Accepted: 06/16/2023] [Indexed: 07/04/2023]
Abstract
OBJECTIVES Offering breast cancer risk prediction for all women of screening age is being considered globally. For women who have received a clinically derived estimate, risk appraisals are often inaccurate. This study aimed to gain an in-depth understanding of women's lived experiences of receiving an increased breast cancer risk. DESIGN One-to-one semi-structured telephone interviews. METHODS Eight women informed that they were at a 10-year above-average (moderate) or high risk in a breast cancer risk study (BC-Predict) were interviewed about their views on breast cancer, personal breast cancer risk and risk prevention. Interviews lasted between 40 and 70 min. Data were analysed using Interpretative Phenomenological Analysis. RESULTS Four themes were generated: (i) encounters with breast cancer and perceived personal significance, where the nature of women's lived experiences of others with breast cancer impacted their views on the significance of the disease, (ii) 'It's random really': difficulty in seeking causal attributions, where women encountered contradictions and confusion in attributing causes to breast cancer, (iii) believing versus identifying with a clinically-derived breast cancer risk, where personal risk appraisals and expectations influenced women's ability to internalize their clinically derived risk and pursue preventative action and (iv) perceived utility of breast cancer risk notification, where women reflected on the usefulness of knowing their risk. CONCLUSIONS Providing (numerical) risk estimates appear to have little impact on stable yet internally contradictory beliefs about breast cancer risk. Given this, discussions with healthcare professionals are needed to help women form more accurate appraisals and make informed decisions.
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Affiliation(s)
| | | | - Anthony Howell
- University of ManchesterManchesterUK
- The Nightingale Centre, Wythenshawe HospitalManchester University NHS Foundation TrustManchesterUK
| | - D. Gareth Evans
- University of ManchesterManchesterUK
- The Nightingale Centre, Wythenshawe HospitalManchester University NHS Foundation TrustManchesterUK
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8
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Lippey J, Keogh L, Campbell I, Mann GB, Forrest LE. Impact of a risk based breast screening decision aid on understanding, acceptance and decision making. NPJ Breast Cancer 2023; 9:65. [PMID: 37553371 PMCID: PMC10409718 DOI: 10.1038/s41523-023-00569-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 07/21/2023] [Indexed: 08/10/2023] Open
Abstract
Internationally, population breast cancer screening is moving towards a risk-stratified approach and requires engagement and acceptance from current and future screening clients. A decision aid ( www.defineau.org ) was developed based on women's views, values, and knowledge regarding risk-stratified breast cancer screening. This study aims to evaluate the impact of the decision aid on women's knowledge, risk perception, acceptance of risk assessment and change of screening frequency, and decision-making. Here we report the results of a pre and post-survey in which women who are clients of BreastScreen Victoria were invited to complete an online questionnaire before and after viewing the decision aid. 3200 potential participants were invited, 242 responded with 127 participants completing both surveys. After reviewing the decision aid there was a significant change in knowledge, acceptance of risk-stratified breast cancer screening and of decreased frequency screening for lower risk. High levels of acceptance of risk stratification, genetic testing and broad support for tailored screening persisted pre and post review. The DEFINE decision aid has a positive impact on acceptance of lower frequency screening, a major barrier to the success of a risk-stratified program and may contribute to facilitating change to the population breast screening program in Australia.
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Affiliation(s)
- Jocelyn Lippey
- Sir Peter MacCallum Department of Oncology, Melbourne, Australia
- University of Melbourne, Department of Surgery, Melbourne, Australia
- St. Vincent's Hospital, Department of Surgery, Fitzroy, Australia
| | - Louise Keogh
- University of Melbourne, Melbourne School of Population and Global Health, Melbourne, Australia
| | - Ian Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Gregory Bruce Mann
- Department of Surgery, The University of Melbourne, Melbourne, Australia
- Breast Service, The Royal Melbourne Hospital, Melbourne, Australia
| | - Laura Elenor Forrest
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Australia.
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9
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McWilliams L, Ruane H, Ulph F, Woof VG, Harrison F, Evans DG, French DP. What do women think about having received their breast cancer risk as part of a risk-stratified NHS Breast Screening Programme? A qualitative study. Br J Cancer 2023; 129:356-365. [PMID: 37225893 PMCID: PMC10206350 DOI: 10.1038/s41416-023-02268-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 03/30/2023] [Accepted: 04/03/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Risk-stratified screening is being considered for national breast screening programmes. It is unclear how women experience risk-stratified screening and receipt of breast cancer risk information in real time. This study aimed to explore the psychological impact of undergoing risk-stratified screening within England's NHS Breast Screening Programme. METHODS Individual telephone interviews were conducted with 40 women who participated in the BC-Predict study and received a letter indicating their estimated breast cancer risk as one of four risk categories: low (<2% 10-year risk), average (2-4.99%), above average (moderate; 5-7.99%) or high (≥8%). Audio-recorded interview transcriptions were analysed using reflexive thematic analysis. RESULTS Two themes were produced: 'From risk expectations to what's my future health story?' highlights that women overall valued the opportunity to receive risk estimates; however, when these were discordant with perceived risk, this causes temporary distress or rejection of the information. 'Being a good (woman) citizen' where women felt positive contributing to society but may feel judged if they then cannot exert agency over the management of their risk or access follow-up support CONCLUSIONS: Risk-stratified breast screening was generally accepted without causing long-lasting distress; however, issues related to risk communication and access to care pathways need to be considered for implementation.
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Affiliation(s)
- Lorna McWilliams
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, M13 9PL, Manchester, UK.
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England.
| | - Helen Ruane
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust (MFT), Southmoor Road, Wythenshawe, M23 9LT, Manchester, UK
| | - Fiona Ulph
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, M13 9PL, Manchester, UK
| | - Victoria G Woof
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, M13 9PL, Manchester, UK
| | | | - D Gareth Evans
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust (MFT), Southmoor Road, Wythenshawe, M23 9LT, Manchester, UK
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary's Hospital, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Rd, Manchester, M20 4GJ, England
| | - David P French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, M13 9PL, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Rd, Manchester, M20 4GJ, England
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10
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Spaeth EL, Dite GS, Hopper JL, Allman R. Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population. Cancer Prev Res (Phila) 2023; 16:281-291. [PMID: 36862830 PMCID: PMC10150247 DOI: 10.1158/1940-6207.capr-22-0460] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/30/2023] [Accepted: 02/28/2023] [Indexed: 03/04/2023]
Abstract
PREVENTION RELEVANCE In this prospective population-based cohort study, we show the improved performance of a new risk assessment model compared with a gold-standard model (BCRAT). The classification of at-risk women using this new model highlights the opportunity to improve risk stratification and implement existing clinical risk-reduction interventions.
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Affiliation(s)
| | | | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Richard Allman
- Genetic Technologies Limited, Fitzroy, Victoria, Australia
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11
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Lopes Cardozo JM, Andrulis IL, Bojesen SE, Dörk T, Eccles DM, Fasching PA, Hooning MJ, Keeman R, Nevanlinna H, Rutgers EJ, Easton DF, Hall P, Pharoah PD, van 't Veer LJ, Schmidt MK. Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival. J Clin Oncol 2023; 41:1849-1863. [PMID: 36689693 PMCID: PMC10082287 DOI: 10.1200/jco.22.01978] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/25/2022] [Accepted: 12/16/2022] [Indexed: 01/24/2023] Open
Abstract
PURPOSE A polygenic risk score (PRS) consisting of 313 common genetic variants (PRS313) is associated with risk of breast cancer and contralateral breast cancer. This study aimed to evaluate the association of the PRS313 with clinicopathologic characteristics of, and survival following, breast cancer. METHODS Women with invasive breast cancer were included, 98,397 of European ancestry and 12,920 of Asian ancestry, from the Breast Cancer Association Consortium (BCAC), and 683 women from the European MINDACT trial. Associations between PRS313 and clinicopathologic characteristics, including the 70-gene signature for MINDACT, were evaluated using logistic regression analyses. Associations of PRS313 (continuous, per standard deviation) with overall survival (OS) and breast cancer-specific survival (BCSS) were evaluated with Cox regression, adjusted for clinicopathologic characteristics and treatment. RESULTS The PRS313 was associated with more favorable tumor characteristics. In BCAC, increasing PRS313 was associated with lower grade, hormone receptor-positive status, and smaller tumor size. In MINDACT, PRS313 was associated with a low risk 70-gene signature. In European women from BCAC, higher PRS313 was associated with better OS and BCSS: hazard ratio (HR) 0.96 (95% CI, 0.94 to 0.97) and 0.96 (95% CI, 0.94 to 0.98), but the association disappeared after adjustment for clinicopathologic characteristics (and treatment): OS HR, 1.01 (95% CI, 0.98 to 1.05) and BCSS HR, 1.02 (95% CI, 0.98 to 1.07). The results in MINDACT and Asian women from BCAC were consistent. CONCLUSION An increased PRS313 is associated with favorable tumor characteristics, but is not independently associated with prognosis. Thus, PRS313 has no role in the clinical management of primary breast cancer at the time of diagnosis. Nevertheless, breast cancer mortality rates will be higher for women with higher PRS313 as increasing PRS313 is associated with an increased risk of disease. This information is crucial for modeling effective stratified screening programs.
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Affiliation(s)
- Josephine M.N. Lopes Cardozo
- Department of Surgery, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- European Organisation for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - Irene L. Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Diana M. Eccles
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Peter A. Fasching
- Department of Gynecology and Obstetricss, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Maartje J. Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Emiel J.T. Rutgers
- Department of Surgery, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Paul D.P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Laura J. van 't Veer
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
| | - Marjanka K. Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
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12
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Gareth Evans D, McWilliams L, Astley S, Brentnall AR, Cuzick J, Dobrashian R, Duffy SW, Gorman LS, Harkness EF, Harrison F, Harvie M, Jerrison A, Machin M, Maxwell AJ, Howell SJ, Wright SJ, Payne K, Qureshi N, Ruane H, Southworth J, Fox L, Bowers S, Hutchinson G, Thorpe E, Ulph F, Woof V, Howell A, French DP. Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420). Br J Cancer 2023; 128:2063-2071. [PMID: 37005486 PMCID: PMC10066938 DOI: 10.1038/s41416-023-02250-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/28/2023] [Accepted: 03/20/2023] [Indexed: 04/04/2023] Open
Abstract
BACKGROUND Risk stratification as a routine part of the NHS Breast Screening Programme (NHSBSP) could provide a better balance of benefits and harms. We developed BC-Predict, to offer women when invited to the NHSBSP, which collects standard risk factor information; mammographic density; and in a sub-sample, a Polygenic Risk Score (PRS). METHODS Risk prediction was estimated primarily from self-reported questionnaires and mammographic density using the Tyrer-Cuzick risk model. Women eligible for NHSBSP were recruited. BC-Predict produced risk feedback letters, inviting women at high risk (≥8% 10-year) or moderate risk (≥5-<8% 10-year) to have appointments to discuss prevention and additional screening. RESULTS Overall uptake of BC-Predict in screening attendees was 16.9% with 2472 consenting to the study; 76.8% of those received risk feedback within the 8-week timeframe. Recruitment was 63.2% with an onsite recruiter and paper questionnaire compared to <10% with BC-Predict only (P < 0.0001). Risk appointment attendance was highest for those at high risk (40.6%); 77.5% of those opted for preventive medication. DISCUSSION We have shown that a real-time offer of breast cancer risk information (including both mammographic density and PRS) is feasible and can be delivered in reasonable time, although uptake requires personal contact. Preventive medication uptake in women newly identified at high risk is high and could improve the cost-effectiveness of risk stratification. TRIAL REGISTRATION Retrospectively registered with clinicaltrials.gov (NCT04359420).
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Affiliation(s)
- D Gareth Evans
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England.
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England.
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, England.
- Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary's Hospital, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL, England.
| | - Lorna McWilliams
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, England
| | - Susan Astley
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, England
| | - Adam R Brentnall
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, England
| | - Jack Cuzick
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, England
| | - Richard Dobrashian
- East Lancashire Hospitals NHS Trust, Royal Blackburn Hospital, Haslingden Road, Lancashire, BB2 3HH, Manchester, England
| | - Stephen W Duffy
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, England
| | - Louise S Gorman
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
- Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, England
- NIHR Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, M13 9PL, England
| | - Elaine F Harkness
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, England
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, England
| | | | - Michelle Harvie
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, England
| | - Andrew Jerrison
- Research IT, IT Services, University of Manchester, Manchester, M13 9PL, England
| | - Matthew Machin
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, England
| | - Anthony J Maxwell
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, England
| | - Sacha J Howell
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, England
- Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, England
| | - Stuart J Wright
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, M13 9PL, England
| | - Katherine Payne
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, M13 9PL, England
| | - Nadeem Qureshi
- Primary Care Stratified Medicine research group, Centre for Academic Primary Care, University of Nottingham, University Park, Nottingham, NG7 2RD, England
| | - Helen Ruane
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
| | - Jake Southworth
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
| | - Lynne Fox
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
| | - Sarah Bowers
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
| | - Gillian Hutchinson
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
| | - Emma Thorpe
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
| | - Fiona Ulph
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, England
| | - Victoria Woof
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, England
| | - Anthony Howell
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, England
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Road, Manchester, M20 4GJ, England
- Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, England
| | - David P French
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, England
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13
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Ayoub A, Lapointe J, Nabi H, Pashayan N. Risk-Stratified Breast Cancer Screening Incorporating a Polygenic Risk Score: A Survey of UK General Practitioners’ Knowledge and Attitudes. Genes (Basel) 2023; 14:genes14030732. [PMID: 36981003 PMCID: PMC10048009 DOI: 10.3390/genes14030732] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/10/2023] [Accepted: 03/13/2023] [Indexed: 03/19/2023] Open
Abstract
A polygenic risk score (PRS) quantifies the aggregated effects of common genetic variants in an individual. A ‘personalised breast cancer risk assessment’ combines PRS with other genetic and nongenetic risk factors to offer risk-stratified screening and interventions. Large-scale studies are evaluating the clinical utility and feasibility of implementing risk-stratified screening; however, General Practitioners’ (GPs) views remain largely unknown. This study aimed to explore GPs’: (i) knowledge of risk-stratified screening; (ii) attitudes towards risk-stratified screening; and (iii) preferences for continuing professional development. A cross-sectional online survey of UK GPs was conducted between July–August 2022. The survey was distributed by the Royal College of General Practitioners and via other mailing lists and social media. In total, 109 GPs completed the survey; 49% were not familiar with the concept of PRS. Regarding risk-stratified screening pathways, 75% agreed with earlier and more frequent screening for women at high risk, 43% neither agreed nor disagreed with later and less screening for women at lower-than-average risk, and 55% disagreed with completely removing screening for women at much lower risk. In total, 81% felt positive about the potential impact of risk-stratified screening towards patients and 62% felt positive about the potential impact on their practice. GPs selected training of healthcare professionals as the priority for future risk-stratified screening implementation, preferring online formats for learning. The results suggest limited knowledge of PRS and risk-stratified screening amongst GPs. Training—preferably using online learning formats—was identified as the top priority for future implementation. GPs felt positive about the potential impact of risk-stratified screening; however, there was hesitance and disagreement towards a low-risk screening pathway.
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Affiliation(s)
- Aya Ayoub
- National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
- Correspondence:
| | - Julie Lapointe
- Oncology Division, CHU de Québec-Université Laval Research Center, Québec City, QC G1R 3S3, Canada
| | - Hermann Nabi
- Oncology Division, CHU de Québec-Université Laval Research Center, Québec City, QC G1R 3S3, Canada
- Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval, Québec City, QC G1V 0A6, Canada
| | - Nora Pashayan
- Department of Applied Health Research, University College London (UCL), London WC1E 7HB, UK
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14
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French DP, McWilliams L, Bowers S, Woof VG, Harrison F, Ruane H, Hendy A, Evans DG. Psychological impact of risk-stratified screening as part of the NHS Breast Screening Programme: multi-site non-randomised comparison of BC-Predict versus usual screening (NCT04359420). Br J Cancer 2023; 128:1548-1558. [PMID: 36774447 PMCID: PMC9922101 DOI: 10.1038/s41416-023-02156-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 01/08/2023] [Accepted: 01/11/2023] [Indexed: 02/13/2023] Open
Abstract
BACKGROUND Adding risk stratification to standard screening via the NHS Breast Screening Programme (NHSBSP) allows women at higher risk to be offered additional prevention and screening options. It may, however, introduce new harms such as increasing cancer worry. The present study aimed to assess whether there were differences in self-reported harms and benefits between women offered risk stratification (BC-Predict) compared to women offered standard NHSBSP, controlling for baseline values. METHODS As part of the larger PROCAS2 study (NCT04359420), 5901 women were offered standard NHSBSP or BC-Predict at the invitation to NHSBSP. Women who took up BC-Predict received 10-year risk estimates: "high" (≥8%), "above average (moderate)" (5-7.99%), "average" (2-4.99%) or "below average (low)" (<2%) risk. A subset of 662 women completed questionnaires at baseline and at 3 months (n = 511) and 6 months (n = 473). RESULTS State anxiety and cancer worry scores were low with no differences between women offered BC-Predict or NHSBSP. Women offered BC-Predict and informed of being at higher risk reported higher risk perceptions and cancer worry than other women, but without reaching clinical levels. CONCLUSIONS Concerns that risk-stratified screening will produce harm due to increases in general anxiety or cancer worry are unfounded, even for women informed that they are at high risk.
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Affiliation(s)
- David P. French
- grid.5379.80000000121662407Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL England ,grid.498924.a0000 0004 0430 9101NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England ,grid.5379.80000000121662407Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Rd, Manchester, M20 4GJ England
| | - Lorna McWilliams
- grid.5379.80000000121662407Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL England ,grid.498924.a0000 0004 0430 9101NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England
| | - Sarah Bowers
- grid.498924.a0000 0004 0430 9101The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT England
| | - Victoria G. Woof
- grid.5379.80000000121662407Manchester Centre of Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL England
| | | | - Helen Ruane
- grid.498924.a0000 0004 0430 9101The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT England
| | - Alice Hendy
- grid.498924.a0000 0004 0430 9101The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT England
| | - D. Gareth Evans
- grid.498924.a0000 0004 0430 9101NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England ,grid.5379.80000000121662407Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 555 Wilmslow Rd, Manchester, M20 4GJ England ,grid.498924.a0000 0004 0430 9101The Nightingale and Prevent Breast Cancer Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT England ,grid.5379.80000000121662407Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL England
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15
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Usher-Smith JA, Hindmarch S, French DP, Tischkowitz M, Moorthie S, Walter FM, Dennison RA, Stutzin Donoso F, Archer S, Taylor L, Emery J, Morris S, Easton DF, Antoniou AC. Proactive breast cancer risk assessment in primary care: a review based on the principles of screening. Br J Cancer 2023; 128:1636-1646. [PMID: 36737659 PMCID: PMC9897164 DOI: 10.1038/s41416-023-02145-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 02/05/2023] Open
Abstract
In the UK, the National Institute for Health and Care Excellence (NICE) recommends that women at moderate or high risk of breast cancer be offered risk-reducing medication and enhanced breast screening/surveillance. In June 2022, NICE withdrew a statement recommending assessment of risk in primary care only when women present with concerns. This shift to the proactive assessment of risk substantially changes the role of primary care, in effect paving the way for a primary care-based screening programme to identify those at moderate or high risk of breast cancer. In this article, we review the literature surrounding proactive breast cancer risk assessment within primary care against the consolidated framework for screening. We find that risk assessment for women under 50 years currently satisfies many of the standard principles for screening. Most notably, there are large numbers of women at moderate or high risk currently unidentified, risk models exist that can identify those women with reasonable accuracy, and management options offer the opportunity to reduce breast cancer incidence and mortality in that group. However, there remain a number of uncertainties and research gaps, particularly around the programme/system requirements, that need to be addressed before these benefits can be realised.
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Affiliation(s)
- Juliet A. Usher-Smith
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Sarah Hindmarch
- grid.5379.80000000121662407Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - David P. French
- grid.5379.80000000121662407Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Marc Tischkowitz
- grid.5335.00000000121885934Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Sowmiya Moorthie
- grid.5335.00000000121885934PHG Foundation, University of Cambridge, Cambridge, UK
| | - Fiona M. Walter
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.4868.20000 0001 2171 1133Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Rebecca A. Dennison
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Francisca Stutzin Donoso
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Stephanie Archer
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK ,grid.5335.00000000121885934Department of Psychology, University of Cambridge, Cambridge, UK
| | - Lily Taylor
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jon Emery
- grid.1008.90000 0001 2179 088XCentre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC Australia
| | - Stephen Morris
- grid.5335.00000000121885934The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Douglas F. Easton
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Antonis C. Antoniou
- grid.5335.00000000121885934Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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16
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Derevianko A, Pizzoli SFM, Pesapane F, Rotili A, Monzani D, Grasso R, Cassano E, Pravettoni G. The Use of Artificial Intelligence (AI) in the Radiology Field: What Is the State of Doctor-Patient Communication in Cancer Diagnosis? Cancers (Basel) 2023; 15:cancers15020470. [PMID: 36672417 PMCID: PMC9856827 DOI: 10.3390/cancers15020470] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/04/2023] [Accepted: 01/10/2023] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND In the past decade, interest in applying Artificial Intelligence (AI) in radiology to improve diagnostic procedures increased. AI has potential benefits spanning all steps of the imaging chain, from the prescription of diagnostic tests to the communication of test reports. The use of AI in the field of radiology also poses challenges in doctor-patient communication at the time of the diagnosis. This systematic review focuses on the patient role and the interpersonal skills between patients and physicians when AI is implemented in cancer diagnosis communication. METHODS A systematic search was conducted on PubMed, Embase, Medline, Scopus, and PsycNet from 1990 to 2021. The search terms were: ("artificial intelligence" or "intelligence machine") and "communication" "radiology" and "oncology diagnosis". The PRISMA guidelines were followed. RESULTS 517 records were identified, and 5 papers met the inclusion criteria and were analyzed. Most of the articles emphasized the success of the technological support of AI in radiology at the expense of patient trust in AI and patient-centered communication in cancer disease. Practical implications and future guidelines were discussed according to the results. CONCLUSIONS AI has proven to be beneficial in helping clinicians with diagnosis. Future research may improve patients' trust through adequate information about the advantageous use of AI and an increase in medical compliance with adequate training on doctor-patient diagnosis communication.
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Affiliation(s)
- Alexandra Derevianko
- Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Silvia Francesca Maria Pizzoli
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
- Correspondence: ; Tel.: +39-0294372099
| | - Filippo Pesapane
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20139 Milan, Italy
| | - Anna Rotili
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20139 Milan, Italy
| | - Dario Monzani
- Department of Psychology, Educational Science and Human Movement, University of Palermo, 90128 Palermo, Italy
| | - Roberto Grasso
- Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Enrico Cassano
- Breast Imaging Division, IEO European Institute of Oncology IRCCS, 20139 Milan, Italy
| | - Gabriella Pravettoni
- Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
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17
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Wright SJ, Eden M, Ruane H, Byers H, Evans DG, Harvie M, Howell SJ, Howell A, French D, Payne K. Estimating the Cost of 3 Risk Prediction Strategies for Potential Use in the United Kingdom National Breast Screening Program. MDM Policy Pract 2023; 8:23814683231171363. [PMID: 37152662 PMCID: PMC10161319 DOI: 10.1177/23814683231171363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 03/29/2023] [Indexed: 05/09/2023] Open
Abstract
Background Economic evaluations have suggested that risk-stratified breast cancer screening may be cost-effective but have used assumptions to estimate the cost of risk prediction. The aim of this study was to identify and quantify the resource use and associated costs required to introduce a breast cancer risk-stratification approach into the English national breast screening program. Methods A micro-costing study, conducted alongside a cohort-based prospective trial (BC-PREDICT), identified the resource use and cost per individual (£; 2021 price year) of providing a risk-stratification strategy at a woman's first mammography. Costs were calculated for 3 risk-stratification approaches: Tyrer-Cuzick survey, Tyrer-Cuzick with Volpara breast-density measurement, and Tyrer-Cuzick with Volpara breast-density measurement and testing for 142 single nucleotide polymorphisms (SNP). Costs were determined for the intervention as implemented in the trial and in the health service. Results The cost of providing the risk-stratification strategy was calculated to be £16.45 for the Tyrer-Cuzick survey approach, £21.82 for the Tyrer-Cuzick with Volpara breast-density measurement, and £102.22 for the Tyrer-Cuzick with Volpara breast-density measurement and SNP testing. Limitations This study did not use formal expert elicitation methods to synthesize estimates. Conclusion The costs of risk prediction using a survey and breast density measurement were low, but adding SNP testing substantially increases costs. Implementation issues present in the trial may also significantly increase the cost of risk prediction. Implications This is the first study to robustly estimate the cost of risk-stratification for breast cancer screening. The cost of risk prediction using questionnaires and automated breast density measurement was low, but full economic evaluations including accurate costs are required to provide evidence of the cost-effectiveness of risk-stratified breast cancer screening. Highlights Economic evaluations have suggested that risk-stratified breast cancer screening may be a cost-effective use of resources in the United Kingdom.Current estimates of the cost of risk stratification are based on pragmatic assumptions.This study provides estimates of the cost of risk stratification using 3 strategies and when these strategies are implemented perfectly and imperfectly in the health system.The cost of risk stratification is relatively low unless single nucleotide polymorphisms are included in the strategy.
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Affiliation(s)
- Stuart J. Wright
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Martin Eden
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Helen Ruane
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Helen Byers
- Division of Evolution and Genomic Science, The University of Manchester, Manchester, UK
- Manchester Centre of Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - D. Gareth Evans
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Centre of Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution and Genomic Science, The University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, Health Innovation Manchester, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, The University of Manchester and Manchester University NHS foundation trust
| | - Michelle Harvie
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Academic Health Science Centre, Health Innovation Manchester, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, The University of Manchester and Manchester University NHS foundation trust
| | - Sacha J. Howell
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, The University of Manchester and Manchester University NHS foundation trust
- The Christie NHS Foundation Trust, Manchester, UK
| | - Anthony Howell
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, The University of Manchester and Manchester University NHS foundation trust
- The Christie NHS Foundation Trust, Manchester, UK
| | - David French
- NIHR Manchester Biomedical Research Centre, The University of Manchester and Manchester University NHS foundation trust
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Katherine Payne
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK
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18
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Gorman LS, Ruane H, Woof VG, Southworth J, Ulph F, Evans DG, French DP. The co-development of personalised 10-year breast cancer risk communications: a 'think-aloud' study. BMC Cancer 2022; 22:1264. [PMID: 36471302 PMCID: PMC9721070 DOI: 10.1186/s12885-022-10347-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/21/2022] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Risk stratified breast cancer screening is being considered as a means of improving the balance of benefits and harms of mammography. Stratified screening requires the communication of risk estimates. We aimed to co-develop personalised 10-year breast cancer risk communications for women attending routine mammography. METHODS We conducted think-aloud interviews on prototype breast cancer risk letters and accompanying information leaflets with women receiving breast screening through the UK National Breast Screening Programme. Risk information was redesigned following feedback from 55 women in three iterations. A deductive thematic analysis of participants' speech is presented. RESULTS Overall, participants appreciated receiving their breast cancer risk. Their comments focused on positive framing and presentation of the risk estimate, a desire for detail on the contribution of individual risk factors to overall risk and effective risk management strategies, and clearly signposted support pathways. CONCLUSION Provision of breast cancer risk information should strive to be personal, understandable and meaningful. Risk information should be continually refined to reflect developments in risk management. Receipt of risk via letter is welcomed but concerns remain around the acceptability of informing women at higher risk in this way, highlighting a need for co-development of risk dissemination and support pathways.
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Affiliation(s)
- Louise S. Gorman
- grid.498924.a0000 0004 0430 9101The Nightingale Centre and Prevent Breast Cancer Centre Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT UK
| | - Helen Ruane
- grid.498924.a0000 0004 0430 9101The Nightingale Centre and Prevent Breast Cancer Centre Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT UK
| | - Victoria G. Woof
- grid.5379.80000000121662407Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, The University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL UK
| | - Jake Southworth
- grid.498924.a0000 0004 0430 9101The Nightingale Centre and Prevent Breast Cancer Centre Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT UK
| | - Fiona Ulph
- grid.5379.80000000121662407Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, The University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL UK
| | - D. Gareth Evans
- grid.498924.a0000 0004 0430 9101The Nightingale Centre and Prevent Breast Cancer Centre Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT UK ,grid.498924.a0000 0004 0430 9101Department of Genomic Medicine, Division of Evolution and Genomic Science, MAHSC, University of Manchester, Manchester University NHS Foundation Trust, Oxford Road, M13 9WL, Manchester, UK ,grid.498924.a0000 0004 0430 9101NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England UK
| | - David P. French
- grid.5379.80000000121662407Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, The University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL UK ,grid.498924.a0000 0004 0430 9101NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, England UK
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19
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Taylor G, McWilliams L, Woof VG, Evans DG, French DP. What are the views of three key stakeholder groups on extending the breast screening interval for low-risk women? A secondary qualitative analysis. Health Expect 2022; 25:3287-3296. [PMID: 36305519 PMCID: PMC9700144 DOI: 10.1111/hex.13637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/14/2022] [Accepted: 10/16/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION There is increasing interest in risk-stratified breast screening, whereby the prevention and early detection offers vary by a woman's estimated risk of breast cancer. To date, more focus has been directed towards high-risk screening pathways rather than considering women at lower risk, who may be eligible for extended screening intervals. This secondary data analysis aimed to compare the views of three key stakeholder groups on how extending screening intervals for low-risk women should be implemented and communicated as part of a national breast screening programme. METHODS Secondary data analysis of three qualitative studies exploring the views of distinct stakeholder groups was conducted. Interviews took place with 23 low-risk women (identified from the BC-Predict study) and 17 national screening figures, who were involved in policy-making and implementation. In addition, three focus groups and two interviews were conducted with 26 healthcare professionals. A multiperspective thematic analysis was conducted to identify similarities and differences between stakeholders. FINDINGS Three themes were produced: Questionable assumptions about negative consequences, highlighting how other stakeholders lack trust in how women are likely to understand extended screening intervals; Preserving the integrity of the programme, centring on decision-making and maintaining a positive reputation of breast screening and Negotiating a communication pathway highlighting communication expectations and public campaign importance. CONCLUSIONS A risk-stratified screening programme should consider how best to engage women assessed as having a low risk of breast cancer to ensure mutual trust, balance the practicality of change whilst ensuring acceptability, and carefully develop multilevel inclusive communication strategies. PATIENT AND PUBLIC CONTRIBUTION The research within this paper involved patient/public contributors throughout including study design and materials input.
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Affiliation(s)
- Grace Taylor
- School of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
| | - Lorna McWilliams
- School of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science CentreCentral Manchester University Hospitals NHS Foundation TrustManchesterUK
| | - Victoria G. Woof
- School of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
| | - D. Gareth Evans
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science CentreCentral Manchester University Hospitals NHS Foundation TrustManchesterUK
- The Nightingale and Prevent Breast Cancer CentreManchester University NHS Foundation TrustManchesterUK
- Manchester Breast Centre, Manchester Cancer Research CentreUniversity of ManchesterManchesterUK
- Genomic Medicine, Division of Evolution and Genomic Sciences, St Mary's Hospital, Manchester University NHS Foundation TrustThe University of ManchesterManchesterUK
| | - David P. French
- School of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science CentreCentral Manchester University Hospitals NHS Foundation TrustManchesterUK
- Manchester Breast Centre, Manchester Cancer Research CentreUniversity of ManchesterManchesterUK
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20
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Woof VG, Howell A, McWilliams L, Gareth Evans D, French DP. How do women who are informed that they are at increased risk of breast cancer appraise their risk? A systematic review of qualitative research. Br J Cancer 2022; 127:1916-1924. [PMID: 36002751 PMCID: PMC9681857 DOI: 10.1038/s41416-022-01944-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/27/2022] [Accepted: 07/29/2022] [Indexed: 11/09/2022] Open
Abstract
This review aimed to synthesise qualitative research on how women notified that they are at increased risk of breast cancer view their risk. Five electronic databases were systematically reviewed for qualitative research investigating how women who have received an increased breast cancer risk estimate appraise their risk status. Fourteen records reporting 12 studies were included and critically appraised. Data were thematically synthesised. Four analytical themes were generated. Women appraise their risk of breast cancer through comparison with their risk of other familial diseases. Clinically derived risk estimates were understood in relation to pre-conceived risk appraisals, with incongruences met with surprise. Family history is relied upon strongly, with women exploring similarities and differences in attributes between themselves and affected relatives to gauge the likelihood of diagnosis. Women at increased risk reported living under a cloud of inevitability or uncertainty regarding diagnosis, resulting in concerns about risk management. Women hold stable appraisals of their breast cancer risk which appear to be mainly formed through their experiences of breast cancer in the family. Healthcare professionals should explore women's personal risk appraisals prior to providing clinically derived risk estimates in order to address misconceptions, reduce concerns about inevitability and increase perceived control over risk reduction.
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Affiliation(s)
- Victoria G. Woof
- grid.5379.80000000121662407University of Manchester, Oxford Road, Manchester, M13 9PL UK
| | - Anthony Howell
- grid.5379.80000000121662407University of Manchester, Oxford Road, Manchester, M13 9PL UK ,grid.498924.a0000 0004 0430 9101The Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9QZ UK
| | - Lorna McWilliams
- grid.5379.80000000121662407University of Manchester, Oxford Road, Manchester, M13 9PL UK
| | - D. Gareth Evans
- grid.5379.80000000121662407University of Manchester, Oxford Road, Manchester, M13 9PL UK ,grid.498924.a0000 0004 0430 9101The Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9QZ UK
| | - David P. French
- grid.5379.80000000121662407University of Manchester, Oxford Road, Manchester, M13 9PL UK
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21
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Hawkins R, McWilliams L, Ulph F, Evans DG, French DP. Healthcare professionals' views following implementation of risk stratification into a national breast cancer screening programme. BMC Cancer 2022; 22:1058. [PMID: 36224549 PMCID: PMC9555254 DOI: 10.1186/s12885-022-10134-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/14/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
Background It is crucial to determine feasibility of risk-stratified screening to facilitate successful implementation. We introduced risk-stratification (BC-Predict) into the NHS Breast Screening Programme (NHSBSP) at three screening sites in north-west England from 2019 to 2021. The present study investigated the views of healthcare professionals (HCPs) on acceptability, barriers, and facilitators of the BC-Predict intervention and on the wider implementation of risk-based screening after BC-Predict was implemented in their screening site. Methods Fourteen semi-structured interviews were conducted with HCPs working across the breast screening pathway at three NHSBSP sites that implemented BC-Predict. Thematic analysis interpreted the data. Results Three pre-decided themes were produced. (1) Acceptability of risk-based screening: risk-stratification was perceived as a beneficial step for both services and women. HCPs across the pathway reported low burden of running the BC-Predict trial on routine tasks, but with some residual concerns; (2) Barriers to implementation: comprised capacity constraints of services including the inadequacy of current IT systems to manage women with different risk profiles and, (3) Facilitators to implementation: included the continuation of stakeholder consultation across the pathway to inform implementation and need for dedicated risk screening admin staff, a push for mammography staff recruitment and guidance for screening services. Telephone helplines, integrating primary care, and supporting access for all language needs was emphasised. Conclusion Risk-stratified breast screening was viewed as a progressive step providing it does not worsen inequalities for women. Implementation of risk-stratified breast screening requires staff to be reassured that there will be systems in place to support implementation and that it will not further burden their workload. Next steps require a comprehensive assessment of the resource needed for risk-stratification versus current resource availability, upgrades to screening IT and building screening infrastructure. The role of primary care needs to be determined. Simplification and clarification of risk-based screening pathways is needed to support HCPs agency and facilitate implementation. Forthcoming evidence from ongoing randomised controlled trials assessing effectiveness of breast cancer risk-stratification will also determine implementation. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-10134-0.
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Affiliation(s)
- Rachel Hawkins
- The Christie NHS Foundation Trust, Wilmslow Rd, Manchester, M20 4BX, UK. .,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England.
| | - Lorna McWilliams
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England
| | - Fiona Ulph
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - D Gareth Evans
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England.,Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, M23 9LT, Wythenshawe, Manchester, UK.,Department of Genomic Medicine, Division of Evolution and Genomic Science, Manchester Academic Health Science Centre, University of Manchester, Manchester University NHS Foundation Trust, Oxford Road, M13 9WL, Manchester, UK
| | - David P French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England
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22
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McWilliams L, Evans DG, Payne K, Harrison F, Howell A, Howell SJ, French DP. Implementing Risk-Stratified Breast Screening in England: An Agenda Setting Meeting. Cancers (Basel) 2022; 14:cancers14194636. [PMID: 36230559 PMCID: PMC9563640 DOI: 10.3390/cancers14194636] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
It is now possible to accurately assess breast cancer risk at routine NHS Breast Screening Programme (NHSBSP) appointments, provide risk feedback and offer risk management strategies to women at higher risk. These strategies include National Institute for Health and Care Excellence (NICE) approved additional breast screening and risk-reducing medication. However, the NHSBSP invites nearly all women three-yearly, regardless of risk. In March 2022, a one-day agenda setting meeting took place in Manchester to discuss the feasibility and desirability of implementation of risk-stratified screening in the NHSBSP. Fifty-eight individuals participated (38 face-to-face, 20 virtual) with relevant expertise from academic, clinical and/or policy-making perspectives. Key findings were presented from the PROCAS2 NIHR programme grant regarding feasibility of risk-stratified screening in the NHSBSP. Participants discussed key uncertainties in seven groups, followed by a plenary session. Discussions were audio-recorded and thematically analysed to produce descriptive themes. Five themes were developed: (i) risk and health economic modelling; (ii) health inequalities and communication with women; (iii); extending screening intervals for low-risk women; (iv) integration with existing NHSBSP; and (v) potential new service models. Most attendees expected some form of risk-stratified breast screening to be implemented in England and collectively identified key issues to be resolved to facilitate this.
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Affiliation(s)
- Lorna McWilliams
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WU, UK
- Correspondence:
| | - D. Gareth Evans
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WU, UK
- Genomic Medicine, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary’s Hospital, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK
- Nightingale & Prevent Breast Cancer Research Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester M23 9LT, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 55 Wilmslow Road, Manchester M20 4GJ, UK
| | - Katherine Payne
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WU, UK
- Manchester Centre for Health Economics, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | | | - Anthony Howell
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WU, UK
- Nightingale & Prevent Breast Cancer Research Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester M23 9LT, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 55 Wilmslow Road, Manchester M20 4GJ, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | - Sacha J. Howell
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WU, UK
- Nightingale & Prevent Breast Cancer Research Unit, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester M23 9LT, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 55 Wilmslow Road, Manchester M20 4GJ, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | - David P. French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester M13 9WU, UK
- Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, 55 Wilmslow Road, Manchester M20 4GJ, UK
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23
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French DP, McWilliams L, Howell A, Evans DG. Does receiving high or low breast cancer risk estimates produce a reduction in subsequent breast cancer screening attendance? Cohort study. Breast 2022; 64:47-49. [PMID: 35569186 PMCID: PMC9111984 DOI: 10.1016/j.breast.2022.05.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 04/27/2022] [Accepted: 05/05/2022] [Indexed: 11/01/2022] Open
Abstract
Risk-stratified breast cancer screening may improve the balance of screening benefits to harms. We assess a potential new harm: reduced screening attendance in women receiving below average-risk (false reassurance) or higher-risk results (screening avoidance). Following initial screening, 26,668 women in the PROCAS study received breast cancer risk estimates, with attendance recorded for two subsequent screening rounds. First-screen attendance was slightly reduced in below-average (85.6%) but not higher-risk women, compared to other women (86.4%). Second-screen attendance increased for women at higher-risk (89.2%) but not below-average, compared to other women (78.8%). Concerns about this potential harm of risk-stratified screening therefore appear unfounded. A potential harm of risk-stratified screening is a reduction in future attendance. Some evidence of a small reduction in future attendance in below-average women. Large increase in attendance in higher-risk women at future screening rounds.
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24
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Pickles K, Hersch J, Nickel B, Vaidya JS, McCaffery K, Barratt A. Effects of awareness of breast cancer overdiagnosis among women with screen-detected or incidentally found breast cancer: a qualitative interview study. BMJ Open 2022; 12:e061211. [PMID: 35676016 PMCID: PMC9185559 DOI: 10.1136/bmjopen-2022-061211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 05/04/2022] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To explore experiences of women who identified themselves as having a possible breast cancer overdiagnosis. DESIGN Qualitative interview study using key components of a grounded theory analysis. SETTING International interviews with women diagnosed with breast cancer and aware of the concept of overdiagnosis. PARTICIPANTS Twelve women aged 48-77 years from the UK (6), USA (4), Canada (1) and Australia (1) who had breast cancer (ductal carcinoma in situ n=9, (invasive) breast cancer n=3) diagnosed between 2004 and 2019, and who were aware of the possibility of overdiagnosis. Participants were recruited via online blogs and professional clinical networks. RESULTS Most women (10/12) became aware of overdiagnosis after their own diagnosis. All were concerned about the possibility of overdiagnosis or overtreatment or both. Finding out about overdiagnosis/overtreatment had negative psychosocial impacts on women's sense of self, quality of interactions with medical professionals, and for some, had triggered deep remorse about past decisions and actions. Many were uncomfortable with being treated as a cancer patient when they did not feel 'diseased'. For most, the recommended treatments seemed excessive compared with the diagnosis given. Most found that their initial clinical teams were not forthcoming about the possibility of overdiagnosis and overtreatment, and many found it difficult to deal with their set management protocols. CONCLUSION The experiences of this small and unusual group of women provide rare insight into the profound negative impact of finding out about overdiagnosis after breast cancer diagnosis. Previous studies have found that women valued information about overdiagnosis before screening and this knowledge did not reduce subsequent screening uptake. Policymakers and clinicians should recognise the diversity of women's perspectives and ensure that women are adequately informed of the possibility of overdiagnosis before screening.
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Affiliation(s)
- Kristen Pickles
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jolyn Hersch
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Brooke Nickel
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jayant S Vaidya
- Division of Surgery and Interventional Science, University College London, London, UK
| | - Kirsten McCaffery
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Alexandra Barratt
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Moorthie S, Babb de Villiers C, Burton H, Kroese M, Antoniou AC, Bhattacharjee P, Garcia-Closas M, Hall P, Schmidt MK. Towards implementation of comprehensive breast cancer risk prediction tools in health care for personalised prevention. Prev Med 2022; 159:107075. [PMID: 35526672 DOI: 10.1016/j.ypmed.2022.107075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/05/2022] [Accepted: 05/02/2022] [Indexed: 12/24/2022]
Abstract
Advances in knowledge about breast cancer risk factors have led to the development of more comprehensive risk models. These integrate information on a variety of risk factors such as lifestyle, genetics, family history, and breast density. These risk models have the potential to deliver more personalised breast cancer prevention. This is through improving accuracy of risk estimates, enabling more effective targeting of preventive options and creating novel prevention pathways through enabling risk estimation in a wider variety of populations than currently possible. The systematic use of risk tools as part of population screening programmes is one such example. A clear understanding of how such tools can contribute to the goal of personalised prevention can aid in understanding and addressing barriers to implementation. In this paper we describe how emerging models, and their associated tools can contribute to the goal of personalised healthcare for breast cancer through health promotion, early disease detection (screening) and improved management of women at higher risk of disease. We outline how addressing specific challenges on the level of communication, evidence, evaluation, regulation, and acceptance, can facilitate implementation and uptake.
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Affiliation(s)
- Sowmiya Moorthie
- PHG Foundation, University of Cambridge, Cambridge, UK; Cambridge Public Health, University of Cambridge School of Clinical Medicine, Forvie Site, Cambridge Biomedical Campus, Cambridge CB2 0SR, United Kingdom.
| | | | - Hilary Burton
- PHG Foundation, University of Cambridge, Cambridge, UK
| | - Mark Kroese
- PHG Foundation, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Proteeti Bhattacharjee
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, USA
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
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Roux A, Cholerton R, Sicsic J, Moumjid N, French DP, Giorgi Rossi P, Balleyguier C, Guindy M, Gilbert FJ, Burrion JB, Castells X, Ritchie D, Keatley D, Baron C, Delaloge S, de Montgolfier S. Study protocol comparing the ethical, psychological and socio-economic impact of personalised breast cancer screening to that of standard screening in the "My Personal Breast Screening" (MyPeBS) randomised clinical trial. BMC Cancer 2022; 22:507. [PMID: 35524202 PMCID: PMC9073478 DOI: 10.1186/s12885-022-09484-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/02/2022] [Indexed: 12/11/2022] Open
Abstract
Background The MyPeBS study is an ongoing randomised controlled trial testing whether a risk-stratified breast cancer screening strategy is non-inferior, or eventually superior, to standard age-based screening at reducing incidence of stage 2 or more cancers. This large European Commission-funded initiative aims to include 85,000 women aged 40 to 70 years, without prior breast cancer and not previously identified at high risk in six countries (Belgium, France, Italy, Israel, Spain, UK). A specific work package within MyPeBS examines psychological, socio-economic and ethical aspects of this new screening strategy. It compares women’s reported data and outcomes in both trial arms on the following issues: general anxiety, cancer-related worry, understanding of breast cancer screening strategy and information-seeking behaviour, socio-demographic and economic characteristics, quality of life, risk perception, intention to change health-related behaviours, satisfaction with the trial. Methods At inclusion, 3-months, 1-year and 4-years, each woman participating in MyPeBS is asked to fill online questionnaires. Descriptive statistics, bivariate analyses, subgroup comparisons and analysis of variations over time will be performed with appropriate tests to assess differences between arms. Multivariate regression models will allow modelling of different patient reported data and outcomes such as comprehension of the information provided, general anxiety or cancer worry, and information seeking behaviour. In addition, a qualitative study (48 semi-structured interviews conducted in France and in the UK with women randomised in the risk-stratified arm), will help further understand participants’ acceptability and comprehension of the trial, and their experience of risk assessment. Discussion Beyond the scientific and medical objectives of this clinical study, it is critical to acknowledge the consequences of such a paradigm shift for women. Indeed, introducing a risk-based screening relying on individual biological differences also implies addressing non-biological differences (e.g. social status or health literacy) from an ethical perspective, to ensure equal access to healthcare. The results of the present study will facilitate making recommendations on implementation at the end of the trial to accompany any potential change in screening strategy. Trial registration Study sponsor: UNICANCER. My personalised breast screening (MyPeBS). Clinicaltrials.gov (2018) available at: https://clinicaltrials.gov/ct2/show/NCT03672331 Contact: Cécile VISSAC SABATIER, PhD, + 33 (0)1 73 79 77 58 ext + 330,142,114,293, contact@mypebs.eu. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09484-6.
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Affiliation(s)
- Alexandra Roux
- IRIS (UMR8156 CNRS & U997 INSERM), Paris 13 University, Aubervilliers, France
| | | | | | - Nora Moumjid
- Université Lyon 1, P2S EA 4129, Centre Léon Bérard, F-69373, Lyon, France
| | | | | | | | - Michal Guindy
- Assuta Medical Centers, Tel Aviv, Israel.,Ben Gurion University, Beersheba, Israel
| | | | | | - Xavier Castells
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | | | | | | | - Suzette Delaloge
- Institut Gustave Roussy, Villejuif, France.,Unicancer, Paris, France
| | - Sandrine de Montgolfier
- IRIS (UMR8156 CNRS & U997 INSERM), Paris 13 University, Aubervilliers, France. .,Paris Est Creteil University, Créteil, France.
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27
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French DP, Woof VG, Ruane H, Evans DG, Ulph F, Donnelly LS. The feasibility of implementing risk stratification into a national breast cancer screening programme: a focus group study investigating the perspectives of healthcare personnel responsible for delivery. BMC Womens Health 2022; 22:142. [PMID: 35501791 PMCID: PMC9063090 DOI: 10.1186/s12905-022-01730-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 04/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Providing women with personalized estimates of their risk of developing breast cancer, as part of routine breast cancer screening programmes, allows women at higher risk to be offered more frequent screening or drugs to reduce risk. For this to be feasible, the concept and practicalities have to be acceptable to the healthcare professionals who would put it in to practice. The present research investigated the acceptability to healthcare professionals who were responsible for the implementation of this new approach to screening in the ongoing BC-Predict study. METHODS Four focus groups were conducted with 29 healthcare professionals from a variety of professional backgrounds working within three breast screening services in north-west England. An inductive-manifest thematic analysis was conducted. RESULTS Overall, healthcare professionals viewed the implementation of personalised breast cancer risk estimation as a positive step, but discussion focused on concerns. Three major themes are presented. (1) Service constraints highlights the limited capacity within current breast services and concerns about the impact of additional workload. (2) Risk communication concerns the optimal way to convey risk to women within resource constraints. (3) Accentuating inequity discusses how risk stratification could decrease screening uptake for underserved groups. CONCLUSIONS Staff who implemented risk stratification considered it a positive addition to routine screening. They considered it essential to consider improving capacity and demands on healthcare professional time. They highlighted the need for skilled communication of risks and new pathways of care to ensure that stratification could be implemented in financially and time constrained settings without impacting negatively on women.
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Affiliation(s)
- David P French
- Division of Psychology & Mental Health, Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK.
| | - Victoria G Woof
- Division of Psychology & Mental Health, Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK
| | - Helen Ruane
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Manchester, UK
| | - D Gareth Evans
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Evolution and Genomic Science, Department of Genomic Medicine, University of Manchester, Manchester, UK
| | - Fiona Ulph
- Division of Psychology & Mental Health, Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK
| | - Louise S Donnelly
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, UK
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Clift AK, Dodwell D, Lord S, Petrou S, Brady SM, Collins GS, Hippisley-Cox J. The current status of risk-stratified breast screening. Br J Cancer 2022; 126:533-550. [PMID: 34703006 PMCID: PMC8854575 DOI: 10.1038/s41416-021-01550-3] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 08/25/2021] [Accepted: 09/14/2021] [Indexed: 12/23/2022] Open
Abstract
Apart from high-risk scenarios such as the presence of highly penetrant genetic mutations, breast screening typically comprises mammography or tomosynthesis strategies defined by age. However, age-based screening ignores the range of breast cancer risks that individual women may possess and is antithetical to the ambitions of personalised early detection. Whilst screening mammography reduces breast cancer mortality, this is at the risk of potentially significant harms including overdiagnosis with overtreatment, and psychological morbidity associated with false positives. In risk-stratified screening, individualised risk assessment may inform screening intensity/interval, starting age, imaging modality used, or even decisions not to screen. However, clear evidence for its benefits and harms needs to be established. In this scoping review, the authors summarise the established and emerging evidence regarding several critical dependencies for successful risk-stratified breast screening: risk prediction model performance, epidemiological studies, retrospective clinical evaluations, health economic evaluations and qualitative research on feasibility and acceptability. Family history, breast density or reproductive factors are not on their own suitable for precisely estimating risk and risk prediction models increasingly incorporate combinations of demographic, clinical, genetic and imaging-related parameters. Clinical evaluations of risk-stratified screening are currently limited. Epidemiological evidence is sparse, and randomised trials only began in recent years.
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Affiliation(s)
- Ash Kieran Clift
- Cancer Research UK Oxford Centre, Department of Oncology, University of Oxford, Oxford, UK.
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Simon Lord
- Department of Oncology, University of Oxford, Oxford, UK
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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29
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Laza-Vásquez C, Codern-Bové N, Cardona-Cardona À, Hernández-Leal MJ, Pérez-Lacasta MJ, Carles-Lavila M, Rué M. Views of health professionals on risk-based breast cancer screening and its implementation in the Spanish National Health System: A qualitative discussion group study. PLoS One 2022; 17:e0263788. [PMID: 35120169 PMCID: PMC8815913 DOI: 10.1371/journal.pone.0263788] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 01/26/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND With the aim of increasing benefits and decreasing harms, risk-based breast cancer screening has been proposed as an alternative to age-based screening. This study explores barriers and facilitators to implementing a risk-based breast cancer screening program from the perspective of health professionals, in the context of a National Health Service. METHODS Socio-constructivist qualitative research carried out in Catalonia (Spain), in the year 2019. Four discussion groups were conducted, with a total of 29 health professionals from primary care, breast cancer screening programs, hospital breast units, epidemiology units, and clinical specialties. A descriptive-interpretive thematic analysis was performed. RESULTS Identified barriers included resistance to reducing the number of screening exams for low-risk women; resistance to change for health professionals; difficulties in risk communication; lack of conclusive evidence of the benefits of risk-based screening; limited economic resources; and organizational transformation. Facilitators include benefits of risk-based strategies for high and low-risk women; women's active role in their health care; proximity of women and primary care professionals; experience of health professionals in other screening programs; and greater efficiency of a risk-based screening program. Organizational and administrative changes in the health system, commitment by policy makers, training of health professionals, and educational interventions addressed to the general population will be required. CONCLUSIONS Despite the expressed difficulties, participants supported the implementation of risk-based screening. They highlighted its benefits, especially for women at high risk of breast cancer and those under 50 years of age, and assumed a greater efficiency of the risk-based program compared to the aged-based one. Future studies should assess the efficiency and feasibility of risk-based breast cancer screening for its transfer to clinical practice.
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Affiliation(s)
- Celmira Laza-Vásquez
- Department of Nursing and Physiotherapy, University of Lleida-IRBLleida, Lleida, Spain
- Health Care Research Group (GRECS), Lleida, Spain
| | - Núria Codern-Bové
- Escola Universitària d’Infermeria i Teràpia Ocupacional de Terrassa, Universitat Autònoma de Barcelona, Terrassa, Spain
- Health, Participation, Occupation and Care Research Group (GrEUIT), Terrassa, Spain
- ÀreaQ, Evaluation and Qualitative Research, Barcelona, Spain
| | | | - Maria José Hernández-Leal
- Department of Economics and Research Centre on Economics and Sustainability (ECO-SOS), Rovira i Virgili University (URV), Tarragona, Spain
- Research Group in Statistical and Economic Analysis in Health (GRAEES), Reus, Spain
| | - Maria José Pérez-Lacasta
- Department of Economics and Research Centre on Economics and Sustainability (ECO-SOS), Rovira i Virgili University (URV), Tarragona, Spain
- Research Group in Statistical and Economic Analysis in Health (GRAEES), Reus, Spain
| | - Misericòrdia Carles-Lavila
- Department of Economics and Research Centre on Economics and Sustainability (ECO-SOS), Rovira i Virgili University (URV), Tarragona, Spain
- Research Group in Statistical and Economic Analysis in Health (GRAEES), Reus, Spain
| | - Montserrat Rué
- Department of Basic Medical Sciences, University of Lleida-IRBLleida, Lleida, Spain
- Research Group in Statistical and Economic Analysis in Health (GRAEES), Lleida, Spain
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30
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Rainey L, van der Waal D, Donnelly LS, Southworth J, French DP, Evans DG, Broeders MJM. Women's health behaviour change after receiving breast cancer risk estimates with tailored screening and prevention recommendations. BMC Cancer 2022; 22:69. [PMID: 35033023 PMCID: PMC8761310 DOI: 10.1186/s12885-022-09174-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 01/04/2022] [Indexed: 11/29/2022] Open
Abstract
Background The Predicting Risk of Cancer at Screening (PROCAS) study provided women who were eligible for breast cancer screening in Greater Manchester (United Kingdom) with their 10-year risk of breast cancer, i.e., low (≤1.5%), average (1.5–4.99%), moderate (5.-7.99%) or high (≥8%). The aim of this study is to explore which factors were associated with women’s uptake of screening and prevention recommendations. Additionally, we evaluated women’s organisational preferences regarding tailored screening. Methods A total of 325 women with a self-reported low (n = 60), average (n = 125), moderate (n = 80), or high (n = 60) risk completed a two-part web-based survey. The first part contained questions about personal characteristics. For the second part women were asked about uptake of early detection and preventive behaviours after breast cancer risk communication. Additional questions were posed to explore preferences regarding the organisation of risk-stratified screening and prevention. We performed exploratory univariable and multivariable regression analyses to assess which factors were associated with uptake of primary and secondary breast cancer preventive behaviours, stratified by breast cancer risk. Organisational preferences are presented using descriptive statistics. Results Self-reported breast cancer risk predicted uptake of (a) supplemental screening and breast self-examination, (b) risk-reducing medication and (c) preventive lifestyle behaviours. Further predictors were (a) having a first degree relative with breast cancer, (b) higher age, and (c) higher body mass index (BMI). Women’s organisational preferences for tailored screening emphasised a desire for more intensive screening for women at increased risk by further shortening the screening interval and moving the starting age forward. Conclusions Breast cancer risk communication predicts the uptake of key tailored primary and secondary preventive behaviours. Effective communication of breast cancer risk information is essential to optimise the population-wide impact of tailored screening. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09174-3.
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Affiliation(s)
- Linda Rainey
- Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | | | - Louise S Donnelly
- Centre for Mental Health and Safety, University of Manchester, Manchester, M13 9PL, England
| | - Jake Southworth
- Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT, UK
| | - David P French
- Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, UK
| | - D Gareth Evans
- Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT, UK.,Genomic Medicine, Division of Evolution and Genomic Sciences, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,The Christie NHS Foundation Trust, Withington, Manchester, M20 4BX, UK
| | - Mireille J M Broeders
- Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.,Dutch Expert Centre for Screening, PO Box 6873, 6503 GJ, Nijmegen, The Netherlands
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31
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How does artificial intelligence in radiology improve efficiency and health outcomes? Pediatr Radiol 2022; 52:2087-2093. [PMID: 34117522 PMCID: PMC9537124 DOI: 10.1007/s00247-021-05114-8] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 04/08/2021] [Accepted: 05/24/2021] [Indexed: 12/11/2022]
Abstract
Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it will improve health care and reduce costs. Has AI been able to fulfill that promise? We describe six clinical objectives that can be supported by AI: a more efficient workflow, shortened reading time, a reduction of dose and contrast agents, earlier detection of disease, improved diagnostic accuracy and more personalized diagnostics. We provide examples of use cases including the available scientific evidence for its impact based on a hierarchical model of efficacy. We conclude that the market is still maturing and little is known about the contribution of AI to clinical practice. More real-world monitoring of AI in clinical practice is expected to aid in determining the value of AI and making informed decisions on development, procurement and reimbursement.
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Harvie M, French DP, Pegington M, Cooper G, Howell A, McDiarmid S, Lombardelli C, Donnelly L, Ruane H, Sellers K, Barrett E, Armitage CJ, Evans DG. Testing a breast cancer prevention and a multiple disease prevention weight loss programme amongst women within the UK NHS breast screening programme-a randomised feasibility study. Pilot Feasibility Stud 2021; 7:220. [PMID: 34930478 PMCID: PMC8690875 DOI: 10.1186/s40814-021-00947-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 11/04/2021] [Indexed: 12/03/2022] Open
Abstract
Background Excess weight and unhealthy behaviours (e.g. sedentariness, high alcohol) are common amongst women including those attending breast screening. These factors increase the risk of breast cancer and other diseases. We tested the feasibility and acceptability of a weight loss/behaviour change programme framed to reduce breast cancer risk (breast cancer prevention programme, BCPP) compared to one framed to reduce risk of breast cancer, cardiovascular disease (CVD) and diabetes (T2D) (multiple disease prevention programme, MDPP). Methods Women aged 47-73 years with overweight or obesity (n = 1356) in the NHS Breast Screening Programme (NHSBSP) were randomised (1:2) to be invited to join a BCPP or a MDPP. The BCPP included personalised information on breast cancer risk and a web and phone weight loss/behaviour change intervention. The MDPP also included an NHS Health Check (lipids, blood pressure, HbA1c and personalised feedback for risk of CVD [QRISK2] and T2D [QDiabetes and HbA1c]). Primary outcomes were uptake and retention and other feasibility outcomes which include intervention fidelity and prevalence of high CVD and T2D risk. Secondary outcomes included change in weight. Results The BCPP and MDPP had comparable rates of uptake: 45/508 (9%) vs. 81/848 (10%) and 12-month retention; 33/45 (73%) vs. 53/81 (65%). Both programmes had a high fidelity of delivery with receipt of mean (95% CI) 90 (88-98% of scheduled calls, 91 (86-95%) of scheduled e-mails and 89 (76-102) website entries per woman over the 12-month period. The MDPP identified 15% of women with a previously unknown 10-year CVD QRISK2 of ≥ 10% and 56% with 10-year Qdiabetes risk of ≥ 10%. Both groups experienced good comparable weight loss: BCPP 26/45 (58%) and MDPP 46/81 (57%) with greater than 5% weight loss at 12 months using baseline observation carried forward imputation. Conclusions Both programmes appeared feasible. The MDPP identified previously unknown CVD and T2D risk factors but does not appear to increase engagement with behaviour change beyond a standard BCPP amongst women attending breast screening. A future definitive effectiveness trial of BCPP is supported by acceptable uptake and retention, and good weight loss. Trial registration ISRCTN91372184, registered 28 September 2014. Supplementary Information The online version contains supplementary material available at 10.1186/s40814-021-00947-4.
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Affiliation(s)
- Michelle Harvie
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK. .,Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, 555 Wilmslow Rd., Manchester, M20 4GJ, UK.
| | - David P French
- Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, 555 Wilmslow Rd., Manchester, M20 4GJ, UK.,Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, UK
| | - Mary Pegington
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.,Division of Cancer Sciences, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK
| | - Grace Cooper
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK
| | - Anthony Howell
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.,Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, 555 Wilmslow Rd., Manchester, M20 4GJ, UK.,Division of Cancer Sciences, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK.,Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Rd., Manchester, M20 4BX, UK
| | - Sarah McDiarmid
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK
| | - Cheryl Lombardelli
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK
| | - Louise Donnelly
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK
| | - Helen Ruane
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK
| | - Katharine Sellers
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK
| | - Emma Barrett
- Department of Medical Statistics, Education and Research Centre, Manchester University NHS Foundation Trust, M23 9LT, Manchester, UK
| | - Christopher J Armitage
- Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Coupland Street, Manchester, M13 9PL, UK
| | - D Gareth Evans
- The Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.,Manchester Breast Centre, Oglesby Cancer Research Centre, The Christie, University of Manchester, 555 Wilmslow Rd., Manchester, M20 4GJ, UK.,Genomic Medicine, Division of Evolution and Genomic Sciences, The University of Manchester, St Mary's Hospital, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL, UK
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UK Women's Views of the Concepts of Personalised Breast Cancer Risk Assessment and Risk-Stratified Breast Screening: A Qualitative Interview Study. Cancers (Basel) 2021; 13:cancers13225813. [PMID: 34830965 PMCID: PMC8616436 DOI: 10.3390/cancers13225813] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/12/2021] [Accepted: 11/16/2021] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Risk-based breast screening will involve tailoring the amount of screening to women’s level of risk. Therefore, women at high-risk may be offered more frequent screening and over a longer period of time than those at low risk for whom less screening may be recommended. As this will involve considerable changes to the NHS Breast Screening Programme, it is important to explore what women in the UK think and feel about this approach. Analysis of in-depth interviews revealed that some women would find both high and low-risk screening options acceptable whereas others were resistant to the prospect of reduced screening if they were assessed as low-risk. We also found that the idea of risk-based screening had little influence on the attitudes of women who were already sceptical about breast screening. These findings highlight the communication challenges that will be faced by those introducing risk-based screening and suggest a need for tailored support and advice. Abstract Any introduction of risk-stratification within the NHS Breast Screening Programme needs to be considered acceptable by women. We conducted interviews to explore women’s attitudes to personalised risk assessment and risk-stratified breast screening. Twenty-five UK women were purposively sampled by screening experience and socioeconomic background. Interview transcripts were qualitatively analysed using Framework Analysis. Women expressed positive intentions for personal risk assessment and willingness to receive risk feedback to provide reassurance and certainty. Women responded to risk-stratified screening scenarios in three ways: ‘Overall acceptors’ considered both high- and low-risk options acceptable as a reasonable allocation of resources to clinical need, yet acceptability was subject to specified conditions including accuracy of risk estimates and availability of support throughout the screening pathway. Others who thought ‘more is better’ only supported high-risk scenarios where increased screening was proposed. ‘Screening sceptics’ found low-risk scenarios more aligned to their screening values than high-risk screening options. Consideration of screening recommendations for other risk groups had more influence on women’s responses than screening-related harms. These findings demonstrate high, but not universal, acceptability. Support and guidance, tailored to screening values and preferences, may be required by women at all levels of risk.
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34
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Toward a Population-Based Breast Cancer Risk Stratification Approach? The Needs and Concerns of Healthcare Providers. J Pers Med 2021; 11:jpm11060540. [PMID: 34200634 PMCID: PMC8228184 DOI: 10.3390/jpm11060540] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/03/2021] [Accepted: 06/05/2021] [Indexed: 12/15/2022] Open
Abstract
Given the expanding knowledge base in cancer genomics, risk-based screening is among the promising avenues to improve breast cancer (BC) prevention and early detection at the population level. Semi-structured interviews were conducted to explore the perceptions of healthcare professionals (HPs) regarding the implementation of such an approach and identify tools that can support HPs. After undertaking an in-depth thematic content analysis of the responses, 11 themes were identified. These were embedded into a logical model to distinguish the potential eligible participants (who?), the main clinical activities (how?) and associated tools (what?), the key factors of acceptability (which?), and the expected effects of the strategy (why?). Overall, it was found that the respondents positively welcomed the implementation of this strategy and agreed on some of the benefits that could accrue to women from tailored risk-based screening. Some important elements, however, deserve clarification. The results also highlight three main conditions that should be met to foster the acceptability of BC risk stratification: respecting the principle of equity, paying special attention to knowledge management, and rethinking human resources to capitalize on the strengths of the current workforce. Because the functioning of BC risk-based screening is not yet well defined, important planning work is required before advancing this organizational innovation, and outstanding issues must be resolved to get HPs on board.
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McWilliams L, Woof VG, Donnelly LS, Howell A, Evans DG, French DP. Extending screening intervals for women at low risk of breast cancer: do they find it acceptable? BMC Cancer 2021; 21:637. [PMID: 34051753 PMCID: PMC8164783 DOI: 10.1186/s12885-021-08347-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 04/13/2021] [Indexed: 12/29/2022] Open
Abstract
Background Trials of risk estimation in breast cancer screening programmes, in order to identify women at higher risk and offer extra screening/preventive measures, are ongoing. It may also be feasible to introduce less frequent screening for women at low-risk of breast cancer. This study aimed to establish views of women at low-risk of breast cancer regarding the acceptability of extending breast screening intervals for low-risk women beyond 3 y. Methods Semi-structured interviews were used to explore views of low-risk women, where “low-risk” was defined as less than 2% estimated 10-year risk of breast cancer aged > 46 years. Low-risk women were identified via the BC-Predict study, where following routine screening, women were given their 10-year risk of breast cancer by letter, along with additional information explaining breast cancer risk factors. To gain diversity of views, purposive sampling by ethnicity and socioeconomic background was used to recruit women. Data were analysed using thematic analysis. Results Twenty-three women participated in individual interviews. Three themes are reported: (1) A good opportunity to receive risk estimation, where women found it worthwhile to receive a low-risk result although some were surprised if expecting a higher risk result; (2) Multi-faceted acceptability of extended screening intervals, with reactions to less frequent screening dependent on whether women were confident in being low-risk status and current safety evidence, (3) Passive approval versus informed choice, highlighting that women found it difficult to consider choosing less frequent screening without professionals’ recommendations, as they generally viewed attending breast screening as positive. Conclusions Risk assessment and receiving a low-risk of breast cancer is acceptable although, further research is required with more diverse samples of women. Any recommendation of less frequent screening in this risk group should be evidence-based in order to be acceptable. Communication needs to be carefully developed, with a focus on ensuring informed choice, prior to trialling any extended screening recommendations in future studies. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08347-w.
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Affiliation(s)
- Lorna McWilliams
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK.
| | - Victoria G Woof
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK
| | - Louise S Donnelly
- Nightingale Breast Screening Centre & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust (MFT), Southmoor Road, Manchester, Wythenshawe, M23 9LT, UK.,NIHR Greater Manchester Patient Safety Translational Research Centre, Centre for Mental Health and Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK
| | - Anthony Howell
- Nightingale Breast Screening Centre & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust (MFT), Southmoor Road, Manchester, Wythenshawe, M23 9LT, UK
| | - D Gareth Evans
- Nightingale Breast Screening Centre & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust (MFT), Southmoor Road, Manchester, Wythenshawe, M23 9LT, UK.,Department of Genomic Medicine, Division of Evolution and Genomic Science, MAHSC, University of Manchester, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL, UK
| | - David P French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK
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Woof VG, McWilliams L, Donnelly LS, Howell A, Evans DG, Maxwell AJ, French DP. Introducing a low-risk breast screening pathway into the NHS Breast Screening Programme: Views from healthcare professionals who are delivering risk-stratified screening. WOMEN'S HEALTH (LONDON, ENGLAND) 2021; 17:17455065211009746. [PMID: 33877937 PMCID: PMC8060757 DOI: 10.1177/17455065211009746] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/01/2021] [Accepted: 03/24/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Proposals to stratify breast screening by breast cancer risk aim to produce a better balance of benefits to harms. Notably, risk estimation calculated from common risk factors and a polygenic risk score would enable high-risk women to benefit from more frequent screening or preventive medication. This service would also identify low-risk women who experience fewer benefits from attending, as lower grade and in situ cancers may be treated unnecessarily. It may therefore be appropriate for low-risk women to attend screening less. This study aimed to elicit views regarding implementing less frequent screening for low-risk women from healthcare professionals who implement risk-stratified screening. METHODS Healthcare professionals involved in the delivery of risk-stratified breast screening were invited to participate in a focus group within the screening setting in which they work or have a telephone interview. Primary care staff were also invited to provide their perspective. Three focus groups and two telephone interviews were conducted with 28 healthcare professionals. To identify patterns across the sample, data were analysed as a single dataset using reflexive thematic analysis. RESULTS Analysis yielded three themes: Reservations concerning the introduction of less frequent screening, highlighting healthcare professionals' unease and concerns towards implementing less frequent screening; Considerations for the management of public knowledge, providing views on media impact on public opinion and the potential for a low-risk pathway to cause confusion and raise suspicion regarding implementation motives; and Deliberating service implications and reconfiguration management, where the practicalities of implementation are discussed. CONCLUSIONS Healthcare professionals broadly supported less frequent screening but had concerns about implementation. It will be essential to address concerns regarding risk estimate accuracy, healthcare professional confidence, service infrastructure and public communication prior to introducing less frequent screening for low-risk women.
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Affiliation(s)
- Victoria G Woof
- Manchester Centre for Health
Psychology, Division of Psychology & Mental Health, School of Health Sciences,
Faculty of Biology, Medicine and Health, University of Manchester, MAHSC,
Manchester, UK
| | - Lorna McWilliams
- Manchester Centre for Health
Psychology, Division of Psychology & Mental Health, School of Health Sciences,
Faculty of Biology, Medicine and Health, University of Manchester, MAHSC,
Manchester, UK
| | - Louise S Donnelly
- Nightingale and Prevent Breast Cancer
Research Unit, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Greater Manchester Patient Safety
Translational Research Centre, Centre for Mental Health and Safety, School of Health
Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC,
Manchester, UK
| | - Anthony Howell
- Nightingale and Prevent Breast Cancer
Research Unit, Manchester University NHS Foundation Trust, Manchester, UK
| | - D Gareth Evans
- Nightingale and Prevent Breast Cancer
Research Unit, Manchester University NHS Foundation Trust, Manchester, UK
- Department of Genomic Medicine,
Division of Evolution and Genomic Science, University of Manchester, MAHSC,
Manchester University NHS Foundation Trust, Manchester, UK
| | - Anthony J Maxwell
- Nightingale and Prevent Breast Cancer
Research Unit, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Informatics, Imaging &
Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health,
University of Manchester, Manchester, UK
| | - David P French
- Manchester Centre for Health
Psychology, Division of Psychology & Mental Health, School of Health Sciences,
Faculty of Biology, Medicine and Health, University of Manchester, MAHSC,
Manchester, UK
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Pons-Rodriguez A, Forné Izquierdo C, Vilaplana-Mayoral J, Cruz-Esteve I, Sánchez-López I, Reñé-Reñé M, Cazorla C, Hernández-Andreu M, Galindo-Ortego G, Llorens Gabandé M, Laza-Vásquez C, Balaguer-Llaquet P, Martínez-Alonso M, Rué M. Feasibility and acceptability of personalised breast cancer screening (DECIDO study): protocol of a single-arm proof-of-concept trial. BMJ Open 2020; 10:e044597. [PMID: 33361170 PMCID: PMC7759966 DOI: 10.1136/bmjopen-2020-044597] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
INTRODUCTION Personalised cancer screening aims to improve benefits, reduce harms and being more cost-effective than age-based screening. The objective of the DECIDO study is to assess the acceptability and feasibility of offering risk-based personalised breast cancer screening and its integration in regular clinical practice in a National Health System setting. METHODS AND ANALYSIS The study is designed as a single-arm proof-of-concept trial. The study sample will include 385 women aged 40-50 years resident in a primary care health area in Spain. The study intervention consists of (1) a baseline visit; (2) breast cancer risk estimation; (3) a second visit for risk communication and screening recommendations based on breast cancer risk and (4) a follow-up to obtain the study outcomes.A polygenic risk score (PRS) will be constructed as a composite likelihood ratio of 83 single nucleotide polymorphisms. The Breast Cancer Surveillance Consortium risk model, including age, race/ethnicity, family history of breast cancer, benign breast disease and breast density will be used to estimate a preliminary 5-year absolute risk of breast cancer. A Bayesian approach will be used to update this risk with the PRS value.The primary outcome measures will be attitude towards, intention to participate in and satisfaction with personalised breast cancer screening. Secondary outcomes will include the proportions of women who accept to participate and who complete the different phases of the study. The exact binomial and the Student's t-test will be used to obtain 95% CIs. ETHICS AND DISSEMINATION The study protocol was approved by the Drug Research Ethics Committee of the University Hospital Arnau de Vilanova. The trial will be conducted in compliance with this study protocol, the Declaration of Helsinki and Good Clinical Practice.The results will be published in peer-reviewed scientific journals and disseminated in scientific conferences and media. TRIAL REGISTRATION NUMBER NCT03791008.
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Affiliation(s)
- Anna Pons-Rodriguez
- Eixample Basic Health Area, Catalan Institute of Health, Lleida, Spain
- Health PhD Program, University of Lleida, Lleida, Spain
| | - Carles Forné Izquierdo
- Basic Medical Sciences, University of Lleida, Lleida, Spain
- Research Group on Statistics and Economic Evaluation in Health (GRAEES), University of Lleida, Lleida, Spain
| | | | - Inés Cruz-Esteve
- Primer de Maig Basic Health Area, Catalan Institute of Health, Lleida, Spain
| | | | - Mercè Reñé-Reñé
- Radiology Department, Arnau de Vilanova University Hospital, Lleida, Spain
| | - Cristina Cazorla
- Primer de Maig Basic Health Area, Catalan Institute of Health, Lleida, Spain
| | | | | | | | | | | | - Montserrat Martínez-Alonso
- Basic Medical Sciences, University of Lleida, Lleida, Spain
- Research Group on Statistics and Economic Evaluation in Health (GRAEES), University of Lleida, Lleida, Spain
- IRBLleida, Lleida, Spain
| | - Montserrat Rué
- Basic Medical Sciences, University of Lleida, Lleida, Spain
- Research Group on Statistics and Economic Evaluation in Health (GRAEES), University of Lleida, Lleida, Spain
- IRBLleida, Lleida, Spain
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Long-Term Evaluation of Women Referred to a Breast Cancer Family History Clinic (Manchester UK 1987-2020). Cancers (Basel) 2020; 12:cancers12123697. [PMID: 33317064 PMCID: PMC7763143 DOI: 10.3390/cancers12123697] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 12/02/2020] [Accepted: 12/05/2020] [Indexed: 12/20/2022] Open
Abstract
Simple Summary This study reports the management of women at high risk for breast cancer over a 33 years period. The aim was to summarize the numbers seen and to report the results of our studies on gene testing, the outcomes of screening and the success of preventive methods including lifestyle change, chemoprevention and risk-reducing mastectomy. We also discuss how the clinical Family History Service may be improved in the future. Abstract Clinics for women concerned about their family history of breast cancer are widely established. A Family History Clinic was set-up in Manchester, UK, in 1987 in a Breast Unit serving a population of 1.8 million. In this review, we report the outcome of risk assessment, screening and prevention strategies in the clinic and propose future approaches. Between 1987–2020, 14,311 women were referred, of whom 6.4% were from known gene families, 38.2% were at high risk (≥30% lifetime risk), 37.7% at moderate risk (17–29%), and 17.7% at an average/population risk who were discharged. A total of 4168 (29.1%) women were eligible for genetic testing and 736 carried pathogenic variants, predominantly in BRCA1 and BRCA2 but also other genes (5.1% of direct referrals). All women at high or moderate risk were offered annual mammographic screening between ages 30 and 40 years old: 646 cancers were detected in women at high and moderate risk (5.5%) with a detection rate of 5 per 1000 screens. Incident breast cancers were largely of good prognosis and resulted in a predicted survival advantage. All high/moderate-risk women were offered lifestyle prevention advice and 14–27% entered various lifestyle studies. From 1992–2003, women were offered entry into IBIS-I (tamoxifen) and IBIS-II (anastrozole) trials (12.5% of invitees joined). The NICE guidelines ratified the use of tamoxifen and raloxifene (2013) and subsequently anastrozole (2017) for prevention; 10.8% women took up the offer of such treatment between 2013–2020. Since 1994, 7164 eligible women at ≥25% lifetime risk of breast cancer were offered a discussion of risk-reducing breast surgery and 451 (6.2%) had surgery. New approaches in all aspects of the service are needed to build on these results.
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McWilliams L, Woof VG, Donnelly LS, Howell A, Evans DG, French DP. Risk stratified breast cancer screening: UK healthcare policy decision-making stakeholders' views on a low-risk breast screening pathway. BMC Cancer 2020; 20:680. [PMID: 32698780 PMCID: PMC7374862 DOI: 10.1186/s12885-020-07158-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/09/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is international interest in risk-stratification of breast screening programmes to allow women at higher risk to benefit from more frequent screening and chemoprevention. Risk-stratification also identifies women at low-risk who could be screened less frequently, as the harms of breast screening may outweigh benefits for this group. The present research aimed to elicit the views of national healthcare policy decision-makers regarding implementation of less frequent screening intervals for women at low-risk. METHODS Seventeen professionals were purposively recruited to ensure relevant professional group representation directly or indirectly associated with the UK National Screening Committee and National Institute for Health and Care Excellence (NICE) clinical guidelines. Interviews were analysed using thematic analysis. RESULTS Three themes are reported: (1) producing the evidence defining low-risk, describing requirements preceding implementation; (2) the impact of risk stratification on women is complicated, focusing on gaining acceptability from women; and (3) practically implementing a low-risk pathway, where feasibility questions are highlighted. CONCLUSIONS Overall, national healthcare policy decision-makers appear to believe that risk-stratified breast screening is acceptable, in principle. It will however be essential to address key obstacles prior to implementation in national programmes.
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Affiliation(s)
- Lorna McWilliams
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England
| | - Victoria G Woof
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK
| | - Louise S Donnelly
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester, M23 9LT, UK
- NIHR Greater Manchester Patient Safety Translational Research Centre, Centre for Mental Health and Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK
| | - Anthony Howell
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester, M23 9LT, UK
| | - D Gareth Evans
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England
- Nightingale & Prevent Breast Cancer Research Unit, Manchester University NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester, M23 9LT, UK
- Department of Genomic Medicine, Division of Evolution and Genomic Science, Manchester Academic Health Science Centre, University of Manchester, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL, UK
| | - David P French
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, MAHSC, Oxford Road, Manchester, M13 9PL, UK.
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, England.
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