1
|
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.
Collapse
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
| |
Collapse
|
2
|
Pederson HJ, ElSherif A, Allyn B, Grobmyer SR. Twenty-two–year evolution of a Medical Breast Service: Filling the important gaps between breast surgery and medical oncology. Surgery 2022; 172:494-499. [DOI: 10.1016/j.surg.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 03/30/2022] [Accepted: 04/05/2022] [Indexed: 11/26/2022]
|
3
|
Bellhouse S, Hawkes RE, Howell SJ, Gorman L, French DP. Breast Cancer Risk Assessment and Primary Prevention Advice in Primary Care: A Systematic Review of Provider Attitudes and Routine Behaviours. Cancers (Basel) 2021; 13:4150. [PMID: 34439302 PMCID: PMC8394615 DOI: 10.3390/cancers13164150] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/16/2021] [Accepted: 08/17/2021] [Indexed: 12/20/2022] Open
Abstract
Implementing risk-stratified breast cancer screening is being considered internationally. It has been suggested that primary care will need to take a role in delivering this service, including risk assessment and provision of primary prevention advice. This systematic review aimed to assess the acceptability of these tasks to primary care providers. Five databases were searched up to July-August 2020, yielding 29 eligible studies, of which 27 were narratively synthesised. The review was pre-registered (PROSPERO: CRD42020197676). Primary care providers report frequently collecting breast cancer family history information, but rarely using quantitative tools integrating additional risk factors. Primary care providers reported high levels of discomfort and low confidence with respect to risk-reducing medications although very few reported doubts about the evidence base underpinning their use. Insufficient education/training and perceived discomfort conducting both tasks were notable barriers. Primary care providers are more likely to accept an increased role in breast cancer risk assessment than advising on risk-reducing medications. To realise the benefits of risk-based screening and prevention at a population level, primary care will need to proactively assess breast cancer risk and advise on risk-reducing medications. To facilitate this, adaptations to infrastructure such as integrated tools are necessary in addition to provision of education.
Collapse
Affiliation(s)
- Sarah Bellhouse
- 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 M13 9PL, UK; (R.E.H.); (D.P.F.)
| | - Rhiannon E. Hawkes
- 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 M13 9PL, UK; (R.E.H.); (D.P.F.)
| | - Sacha J. Howell
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, UK;
| | - Louise Gorman
- NIHR Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, 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, Manchester M13 9PL, UK; (R.E.H.); (D.P.F.)
| |
Collapse
|
4
|
Macdonald C, Saunders CM, Keogh LA, Hunter M, Mazza D, McLachlan SA, Jones SC, Nesci S, Friedlander ML, Hopper JL, Emery JD, Hickey M, Milne RL, Phillips KA. Breast Cancer Chemoprevention: Use and Views of Australian Women and Their Clinicians. Cancer Prev Res (Phila) 2020; 14:131-144. [PMID: 33115784 DOI: 10.1158/1940-6207.capr-20-0369] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/27/2020] [Accepted: 10/15/2020] [Indexed: 11/16/2022]
Abstract
Guidelines endorse the use of chemoprevention for breast cancer risk reduction. This study examined the barriers and facilitators to chemoprevention use for Australian women at increased risk of breast cancer, and their clinicians. Surveys, based on the Theoretical Domains Framework, were mailed to 1,113 women at ≥16% lifetime risk of breast cancer who were enrolled in the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer cohort study (kConFab), and their 524 treating clinicians. Seven hundred twenty-five women (65%) and 221 (42%) clinicians responded. Only 10 (1.4%) kConFab women had ever taken chemoprevention. Three hundred seventy-eight (52%) kConFab women, two (3%) breast surgeons, and 51 (35%) family physicians were not aware of chemoprevention. For women, the strongest barriers to chemoprevention were side effects (31%) and inadequate information (23%), which operate in the Theoretical Domains Framework domains of "beliefs about consequences" and "knowledge," respectively. Strongest facilitators related to tamoxifen's long-term efficacy (35%, "knowledge," "beliefs about consequences," and "goals" domains), staying healthy for family (13%, "social role" and "goals" domains), and abnormal breast biopsy (13%, "environmental context" domain). The strongest barrier for family physicians was insufficient knowledge (45%, "knowledge" domain) and for breast surgeons was medication side effects (40%, "beliefs about consequences" domain). The strongest facilitators for both clinician groups related to clear guidelines, strong family history, and better tools to select patients ("environmental context and resources" domain). Clinician knowledge and resources, and beliefs about the side-effect consequences of chemoprevention, are key domains that could be targeted to potentially enhance uptake. PREVENTION RELEVANCE: Despite its efficacy in reducing breast cancer incidence, chemoprevention is underutilised. This survey study of Australian women and their clinicians used behavioural change theory to identify modifiable barriers to chemoprevention uptake, and to suggest interventions such as policy change, educational resources and public campaigns, that may increase awareness and use.See related Spotlight by Vogel, p. 1.
Collapse
Affiliation(s)
- Courtney Macdonald
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | | | - Louise A Keogh
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Morgan Hunter
- Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Danielle Mazza
- Department of General Practice, Monash University, Melbourne, Australia
| | - Sue-Anne McLachlan
- Department of Medicine, St Vincent's Hospital, University of Melbourne, Melbourne, Australia.,Department of Medical Oncology, St Vincent's Hospital, Fitzroy, Melbourne, Australia
| | - Sandra C Jones
- ACU Engagement, Australian Catholic University, Melbourne, Australia
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Michael L Friedlander
- Prince of Wales Clinical School University of New South Wales, Sydney, Australia.,Department of Medical Oncology, Prince of Wales Hospital, Randwick, NSW, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Jon D Emery
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, Australia.,School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Melbourne, Australia
| | | | | |
Collapse
|
5
|
Abstract
Despite decades of laboratory, epidemiological and clinical research, breast cancer incidence continues to rise. Breast cancer remains the leading cancer-related cause of disease burden for women, affecting one in 20 globally and as many as one in eight in high-income countries. Reducing breast cancer incidence will likely require both a population-based approach of reducing exposure to modifiable risk factors and a precision-prevention approach of identifying women at increased risk and targeting them for specific interventions, such as risk-reducing medication. We already have the capacity to estimate an individual woman's breast cancer risk using validated risk assessment models, and the accuracy of these models is likely to continue to improve over time, particularly with inclusion of newer risk factors, such as polygenic risk and mammographic density. Evidence-based risk-reducing medications are cheap, widely available and recommended by professional health bodies; however, widespread implementation of these has proven challenging. The barriers to uptake of, and adherence to, current medications will need to be considered as we deepen our understanding of breast cancer initiation and begin developing and testing novel preventives.
Collapse
Affiliation(s)
- Kara L Britt
- Breast Cancer Risk and Prevention Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Kelly-Anne Phillips
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| |
Collapse
|
6
|
Phillips KA, Liao Y, Milne RL, MacInnis RJ, Collins IM, Buchsbaum R, Weideman PC, Bickerstaffe A, Nesci S, Chung WK, Southey MC, Knight JA, Whittemore AS, Dite GS, Goldgar D, Giles GG, Glendon G, Cuzick J, Antoniou AC, Andrulis IL, John EM, Daly MB, Buys SS, Hopper JL, Terry MB. Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool. JNCI Cancer Spectr 2019; 3:pkz066. [PMID: 31853515 PMCID: PMC6901082 DOI: 10.1093/jncics/pkz066] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 07/14/2019] [Accepted: 08/20/2019] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND iPrevent is an online breast cancer (BC) risk management decision support tool. It uses an internal switching algorithm, based on a woman's risk factor data, to estimate her absolute BC risk using either the International Breast Cancer Intervention Study (IBIS) version 7.02, or Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm version 3 models, and then provides tailored risk management information. This study assessed the accuracy of the 10-year risk estimates using prospective data. METHODS iPrevent-assigned 10-year invasive BC risk was calculated for 15 732 women aged 20-70 years and without BC at recruitment to the Prospective Family Study Cohort. Calibration, the ratio of the expected (E) number of BCs to the observed (O) number and discriminatory accuracy were assessed. RESULTS During the 10 years of follow-up, 619 women (3.9%) developed BC compared with 702 expected (E/O = 1.13; 95% confidence interval [CI] =1.05 to 1.23). For women younger than 50 years, 50 years and older, and BRCA1/2-mutation carriers and noncarriers, E/O was 1.04 (95% CI = 0.93 to 1.16), 1.24 (95% CI = 1.11 to 1.39), 1.13 (95% CI = 0.96 to 1.34), and 1.13 (95% CI = 1.04 to 1.24), respectively. The C-statistic was 0.70 (95% CI = 0.68 to 0.73) overall and 0.74 (95% CI = 0.71 to 0.77), 0.63 (95% CI = 0.59 to 0.66), 0.59 (95% CI = 0.53 to 0.64), and 0.65 (95% CI = 0.63 to 0.68), respectively, for the subgroups above. Applying the newer IBIS version 8.0b in the iPrevent switching algorithm improved calibration overall (E/O = 1.06, 95% CI = 0.98 to 1.15) and in all subgroups, without changing discriminatory accuracy. CONCLUSIONS For 10-year BC risk, iPrevent had good discriminatory accuracy overall and was well calibrated for women aged younger than 50 years. Calibration may be improved in the future by incorporating IBIS version 8.0b.
Collapse
Affiliation(s)
- Kelly-Anne Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Yuyan Liao
- Department of Epidemiology, Columbia University Medical Center, New York, NY
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Ian M Collins
- School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Richard Buchsbaum
- Department of Biostatistics, Columbia University Medical Center, New York, NY
| | - Prue C Weideman
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Adrian Bickerstaffe
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie Nesci
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Wendy K Chung
- Mailman School of Public Health, and Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia
- Precision Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Julia A Knight
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Alice S Whittemore
- Departments of Health Research and Policy and of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA
| | - Gillian S Dite
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - David Goldgar
- Department of Dermatology and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Departments of Molecular Genetics and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Esther M John
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA
| | - Saundra S Buys
- Department of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Mary Beth Terry
- Department of Epidemiology, Columbia University Medical Center, New York, NY
| | - for the kConFab Investigators
- Research Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
7
|
Esquivel-Sada D, Lévesque E, Hagan J, Knoppers BM, Simard J. Envisioning Implementation of a Personalized Approach in Breast Cancer Screening Programs: Stakeholder Perspectives. Healthc Policy 2019; 15:39-54. [PMID: 32077844 PMCID: PMC7020798 DOI: 10.12927/hcpol.2019.26072] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Advances in genomics and epidemiology can foster the implementation of a risk-based approach to current age-based breast cancer screening programs. This personalized approach would challenge the trajectory for women in the healthcare system by adding both a risk-assessment step (including a genomic test) and screening options. OBJECTIVE The aim of this study is to explore, from an organizational perspective, the acceptability of different proposals for each step of the trajectory for women in the healthcare system should a personalized approach be implemented in the province of Quebec. METHODS We interviewed 20 professional stakeholders who are either involved in the current breast cancer screening program in Quebec or who are likely to play a role in the future implementation of a personalized risk-based approach. RESULTS|DISCUSSION Preferences are split between proposals supporting self-management by the women themselves (e.g., solicitation through media campaign, self-collection of information and sample and results provided by letter) and proposals prioritizing more interaction between women and healthcare providers (e.g., solicitation by health professionals, collection of information and samples by a nurse and results provided by health professionals).
Collapse
Affiliation(s)
- Daphne Esquivel-Sada
- Sociologist, Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC
| | - Emmanuelle Lévesque
- Lawyer and Academic Associate, Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC
| | - Julie Hagan
- Academic Associate, Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine McGill University, Montreal, QC
| | - Bartha Maria Knoppers
- Professor, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Director, Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC
| | - Jacques Simard
- Professor, Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, QC
| |
Collapse
|
8
|
Lo LL, Collins IM, Bressel M, Butow P, Emery J, Keogh L, Weideman P, Steel E, Hopper JL, Trainer AH, Mann GB, Bickerstaffe A, Antoniou AC, Cuzick J, Phillips KA. The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing. JMIR Form Res 2018; 2:e24. [PMID: 30684421 PMCID: PMC6334700 DOI: 10.2196/formative.9935] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 09/18/2018] [Accepted: 09/25/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND iPrevent estimates breast cancer (BC) risk and provides tailored risk management information. OBJECTIVE The objective of this study was to assess the usability and acceptability of the iPrevent prototype. METHODS Clinicians were eligible for participation in the study if they worked in primary care, breast surgery, or genetics clinics. Female patients aged 18-70 years with no personal cancer history were eligible. Clinicians were first familiarized with iPrevent using hypothetical paper-based cases and then actor scenarios; subsequently, they used iPrevent with their patients. Clinicians and patients completed the System Usability Scale (SUS) and an Acceptability questionnaire 2 weeks after using iPrevent; patients also completed measures of BC worry, anxiety, risk perception, and knowledge pre- and 2 weeks post-iPrevent. Data were summarized using descriptive statistics. RESULTS The SUS and Acceptability questionnaires were completed by 19 of 20 clinicians and 37 of 43 patients. Usability was above average (SUS score >68) for 68% (13/19) clinicians and 76% (28/37) patients. The amount of information provided by iPrevent was reported as "about right" by 89% (17/19) clinicians and 89% (33/37) patients and 95% (18/19) and 97% (36/37), respectively, would recommend iPrevent to others, although 53% (10/19) clinicians and 27% (10/37) patients found it too long. Exploratory analyses suggested that iPrevent could improve risk perception, decrease frequency of BC worry, and enhance BC prevention knowledge without changing state anxiety. CONCLUSIONS The iPrevent prototype demonstrated good usability and acceptability. Because concerns about length could be an implementation barrier, data entry has been abbreviated in the publicly available version of iPrevent.
Collapse
Affiliation(s)
- Louisa L Lo
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Victoria, Australia
| | - Ian M Collins
- School of Medicine, Deakin University, Geelong, Australia
| | - Mathias Bressel
- Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Phyllis Butow
- Centre for Medical Psychology & Evidence-Based Decision-Making, University of Sydney, Sydney, Australia
| | - Jon Emery
- Department of General Practice and the Centre for Cancer Research, The University of Melbourne, Melbourne, Australia
- School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Perth, Australia
| | - Louise Keogh
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Prue Weideman
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Emma Steel
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Alison H Trainer
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Australia
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia
| | - Gregory B Mann
- Department of Surgery, The University of Melbourne, Melbourne, Australia
| | - Adrian Bickerstaffe
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
| | - Kelly-Anne Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia
| |
Collapse
|
9
|
Keogh LA, Steel E, Weideman P, Butow P, Collins IM, Emery JD, Mann GB, Bickerstaffe A, Trainer AH, Hopper LJ, Phillips KA. Consumer and clinician perspectives on personalising breast cancer prevention information. Breast 2018; 43:39-47. [PMID: 30445378 DOI: 10.1016/j.breast.2018.11.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 10/23/2018] [Accepted: 11/03/2018] [Indexed: 10/27/2022] Open
Abstract
BACKGROUND Personalised prevention of breast cancer has focused on women at very high risk, yet most breast cancers occur in women at average, or moderately increased risk (≤moderate risk). OBJECTIVES To determine; 1) interest of women at ≤ moderate risk (consumers) in personalised information about breast cancer risk; 2) familial cancer clinicians' (FCCs) perspective on managing women at ≤ moderate risk, and; 3) both consumers' and FCCs reactions to iPrevent, a personalised breast cancer risk assessment and risk management decision support tool. METHODS Seven focus groups on breast cancer risk were conducted with 49 participants; 27 consumers and 22 FCCs. Data were analysed thematically. RESULTS Consumers reported some misconceptions, low trust in primary care practitioners for breast cancer prevention advice and frustration that they often lacked tailored advice about breast cancer risk. They expressed interest in receiving personalised risk information using iPrevent. FCCs reported an inadequate workforce to advise women at ≤ moderate risk and reacted positively to the potential of iPrevent to assist. CONCLUSIONS While highlighting a potential role for iPrevent, several outstanding issues remain. For personalised prevention of breast cancer to extend beyond women at high risk, we must harness women's interest in receiving tailored information about breast cancer prevention and identify a workforce willing to advise women.
Collapse
Affiliation(s)
- L A Keogh
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Australia.
| | - E Steel
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Australia
| | - P Weideman
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia
| | - P Butow
- Centre for Medical Psychology and Evidence-based Decision-Making (CeMPED) and the Psycho-Oncology Cooperative Research Group (PoCoG), The University of Sydney, Sydney, Australia
| | - I M Collins
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia; The Greater Green Triangle Clinical School, Deakin University School of Medicine, Warrnambool, Australia
| | - J D Emery
- Department of General Practice, The University of Melbourne, Melbourne, Australia
| | - G B Mann
- The Breast Service, Royal Melbourne and Royal Women's Hospital, Melbourne, Australia; Department of Surgery, The University of Melbourne, Melbourne, Australia
| | - A Bickerstaffe
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia
| | - A H Trainer
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia; Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - L J Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia
| | - K A Phillips
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| |
Collapse
|
10
|
Rainey L, van der Waal D, Donnelly LS, Evans DG, Wengström Y, Broeders M. Women's decision-making regarding risk-stratified breast cancer screening and prevention from the perspective of international healthcare professionals. PLoS One 2018; 13:e0197772. [PMID: 29856760 PMCID: PMC5983562 DOI: 10.1371/journal.pone.0197772] [Citation(s) in RCA: 28] [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: 01/29/2018] [Accepted: 05/08/2018] [Indexed: 01/02/2023] Open
Abstract
Introduction Increased knowledge of breast cancer risk factors may enable a paradigm shift from one-size-fits-all breast cancer screening to screening and subsequent prevention guided by a woman’s individual risk of breast cancer. Professionals will play a key role in informing women about this new personalised screening and prevention programme. Therefore, it is essential to explore professionals’ views of the acceptability of this new programme, since this may affect shared decision-making. Methods Professionals from three European countries (the Netherlands, United Kingdom, and Sweden) participated in digital concept mapping, a systematic mixed methods approach used to explore complex multidimensional constructs. Results Across the three countries, professionals prioritised the following five themes which may impact decision-making from the perspective of eligible women: (1) Anxiety/worry; (2) Proactive approach; (3) Reassurance; (4) Lack of knowledge; and (5) Organisation of risk assessment and feedback. Furthermore, Dutch and British professionals expressed concerns regarding the acceptability of a heterogeneous screening policy, suggesting women will question their risk feedback and assigned pathway of care. Swedish professionals emphasised the potential impact of the programme on family relations. Conclusions The perspectives of Dutch, British, and Swedish professionals of women’s decision-making regarding personalised breast cancer screening and prevention generally appear in line with women’s own views of acceptability as previously reported. This will facilitate shared decision-making. However, concerns regarding potential consequences of this new programme for screening outcomes and organisation need to be addressed, since this may affect how professionals communicate the programme to eligible women.
Collapse
Affiliation(s)
- Linda Rainey
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- * E-mail:
| | - Daniëlle van der Waal
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Louise S. Donnelly
- Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Wythenshawe, Manchester, United Kingdom
| | - D. Gareth Evans
- Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Wythenshawe, Manchester, United Kingdom
- Genomic Medicine, Division of Evolution and Genomic Sciences, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom
- The Christie NHS Foundation Trust, Withington, Manchester, United Kingdom
| | - Yvonne Wengström
- Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet & Theme Cancer, Karolinska University Hospital, Huddinge, Sweden
| | - Mireille Broeders
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Dutch Expert Centre for Screening, Nijmegen, The Netherlands
| |
Collapse
|
11
|
Rainey L, van der Waal D, Jervaeus A, Wengström Y, Evans DG, Donnelly LS, Broeders MJM. Are we ready for the challenge of implementing risk-based breast cancer screening and primary prevention? Breast 2018. [PMID: 29529454 DOI: 10.1016/j.breast.2018.02.029] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Increased knowledge of breast cancer risk factors provides opportunities to shift from a one-size-fits-all screening programme to a personalised approach, where screening and prevention is based on a woman's risk of developing breast cancer. However, potential implementation of this new paradigm could present considerable challenges which the present review aims to explore. METHODS Bibliographic databases were searched to identify studies evaluating potential implications of the implementation of personalised risk-based screening and primary prevention for breast cancer. Identified themes were evaluated using thematic analysis. RESULTS The search strategy identified 5699 unique publications, of which 59 were selected for inclusion. Significant changes in policy and practice are warranted. The organisation of breast cancer screening spans several healthcare delivery systems and clinical settings. Feasibility of implementation depends on how healthcare is funded and arranged, and potentially varies between countries. Piloting risk assessment and prevention counselling in primary care settings has highlighted implications relating to the need for extensive additional training on risk (communication) and prevention, impact on workflow, and professionals' personal discomfort breaching the topic with women. Additionally, gaps in risk estimation, psychological, ethical and legal consequences will need to be addressed. CONCLUSION The present review identified considerable unresolved issues and challenges. Potential implementation will require a more complex framework, in which a country's healthcare regulations, resources, and preferences related to screening and prevention services are taken into account. However, with the insights gained from the present overview, countries expecting to implement risk-based screening and prevention can start to inventory and address the issues that were identified.
Collapse
Affiliation(s)
- Linda Rainey
- Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | - Daniëlle van der Waal
- Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Anna Jervaeus
- Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet & Theme Cancer, Karolinska University Hospital, Alfred Nobels allé 23, 23300, 14183, Huddinge, Sweden
| | - Yvonne Wengström
- Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet & Theme Cancer, Karolinska University Hospital, Alfred Nobels allé 23, 23300, 14183, Huddinge, Sweden
| | - D Gareth Evans
- Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Southmoor Road, Manchester M23 9LT, United Kingdom; Genomic Medicine, Division of Evolution and Genomic Sciences, Manchester Academic Health Sciences Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, United Kingdom; The Christie NHS Foundation Trust, Withington, Manchester M20 4BX, United Kingdom
| | - Louise S Donnelly
- Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Southmoor Road, Manchester M23 9LT, United Kingdom
| | - Mireille J M Broeders
- Radboud Institute for Health Sciences, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands; Dutch Expert Center for Screening, PO Box 6873, 6503 GJ Nijmegen, The Netherlands
| |
Collapse
|
12
|
Abstract
PURPOSE OF REVIEW Investigation of noncyclic mastalgia in women without signs or risk factors for cancer is controversial. An initial imaging strategy can diagnose breast cancer early, potentially leading to better treatment and survival. However, cancer diagnosis is very uncommon in these cases, and this approach can be harmful, as false positives or suspicion results will lead to unneeded interventions and follow-up. The purpose of this review is to analyse the trade-offs between desirable and undesirable consequences of initial imaging tests against clinical follow-up. RECENT FINDINGS We found seven relevant studies, all observational, with some methodological limitations and very low-quality evidence. They showed low breast cancer prevalence (around 1-2%, increasing with age), high sensitivity to rule out disease but moderate specificity to rule it in using mammography and echography, and lacked evidence on follow-up and final outcomes. SUMMARY There is a low prevalence of breast cancer in patients with painful breast with negative physical examination, and very little research to inform about the effect of performing or avoiding initial imaging test on outcomes of interest. With such limited evidence, only a weak recommendation to reinforce shared decision making about what should be done in the primary care setting can be made, with the backup of a specialized breast unit.
Collapse
|
13
|
Kariri M, Jalambo MO, Kanou B, Deqes S, Younis S, Zabut B, Balawi U. Risk Factors for Breast Cancer in Gaza Strip, Palestine: a Case-Control Study. Clin Nutr Res 2017; 6:161-171. [PMID: 28770179 PMCID: PMC5539210 DOI: 10.7762/cnr.2017.6.3.161] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 06/26/2017] [Accepted: 07/10/2017] [Indexed: 12/29/2022] Open
Abstract
Breast cancer (BC) is the main common cause of cancer mortality among women in the world. This study aims at investigating BC epidemiology and identifying the different risk factors associated and the most affecting ones among women in the Gaza Strip, Palestine. This study was a hospital-based case-control (1:2), as the study was carried out over the period of October 2014 to February 2015. A total of 105 BC patients, chosen from Al-Shifa Hospital in Gaza City and European hospital for the south governorate, were the case and compared to 209 women as a control group who matched the cases in age, residence, and with no history of breast problems. The age of the enrolled cases and controlled ranged between 18 to 60 years. The face-to-face interview was conducted during the patient visit to the oncology department and the control visit in their home. The result illustrated that women who had late pregnancy (> 35 years) (odds ratio [OR], 11.56; 95% confidence interval [CI], 1.64-81.35), or high body mass index (BMI; ≥ 30 kg/m2) (OR, 4.70; 95% CI, 1.62-13.69), or first-degree family history of BC (OR, 2.7; 95% CI, 1.04-7.20), or hypertensive patients (OR, 12.13; 95% CI, 1.93-76.10), or diabetic (OR, 6.84; 95% CI, 1.77-26.36) were more likely to have increased BC risk. The findings of the present study suggest that positive family history of BC, high BMI, and some common diseases (hypertension, diabetes mellitus) may be the epigenetic factors promoting the occurrence of BC.
Collapse
Affiliation(s)
| | | | | | | | | | - Baker Zabut
- Biochemistry Department, Islamic University of Gaza, Gaza, Palestine
| | | |
Collapse
|
14
|
Collins IM, Bickerstaffe A, Ranaweera T, Maddumarachchi S, Keogh L, Emery J, Mann GB, Butow P, Weideman P, Steel E, Trainer A, Bressel M, Hopper JL, Cuzick J, Antoniou AC, Phillips KA. iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management. Breast Cancer Res Treat 2016; 156:171-82. [PMID: 26909793 PMCID: PMC4788692 DOI: 10.1007/s10549-016-3726-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2015] [Accepted: 02/16/2016] [Indexed: 01/04/2023]
Abstract
We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent(®) selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented in simple language and graphic formats for easy comprehension. iPrevent(®) then presents risk-adapted, evidence-based, guideline-endorsed management options. Development was an iterative process with regular feedback from multidisciplinary experts and consumers. To verify iPrevent(®), risk factor data for 127 cases derived from the Australian Breast Cancer Family Study were entered into iPrevent(®), IBIS (v7.02), and BOADICEA (v3.0). Consistency of the model chosen by iPrevent(®) (i.e., IBIS or BOADICEA) with the programmed iPrevent(®) model choice algorithm was assessed. Estimated breast cancer risks from iPrevent(®) were compared with those attained directly from the chosen risk assessment model (IBIS or BOADICEA). Risk management interventions displayed by iPrevent(®) were assessed for appropriateness. Risk estimation model choice was 100 % consistent with the programmed iPrevent(®) logic. Discrepant 10-year and residual lifetime risk estimates of >1 % were found for 1 and 4 cases, respectively, none was clinically significant (maximal variation 1.4 %). Risk management interventions suggested by iPrevent(®) were 100 % appropriate. iPrevent(®) successfully integrates the IBIS and BOADICEA risk assessment models into a decision support tool that provides evidence-based, risk-adapted risk management advice. This may help to facilitate precision breast cancer prevention discussions between women and their healthcare providers.
Collapse
Affiliation(s)
- Ian M Collins
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St., Melbourne, VIC, Australia
- The Greater Green Triangle Clinical School, Deakin University School of Medicine, Warrnambool, Australia
| | - Adrian Bickerstaffe
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Thilina Ranaweera
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Sanjaya Maddumarachchi
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Louise Keogh
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Jon Emery
- Department of General Practice, The University of Melbourne, Melbourne, Australia
| | - G Bruce Mann
- The Breast Service, Royal Melbourne and Royal Women's Hospital, Melbourne, Australia
- Department of Surgery, The University of Melbourne, Melbourne, Australia
| | - Phyllis Butow
- Centre for Medical Psychology and Evidence-based Decision-Making (CeMPED) and The Psycho-Oncology Cooperative Research Group (PoCoG), The University of Sydney, Sydney, Australia
| | - Prue Weideman
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St., Melbourne, VIC, Australia
| | - Emma Steel
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St., Melbourne, VIC, Australia
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Alison Trainer
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St., Melbourne, VIC, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - Mathias Bressel
- Department of Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kelly-Anne Phillips
- Division of Cancer Medicine, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St., Melbourne, VIC, Australia.
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia.
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Melbourne, Australia.
| |
Collapse
|