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Lacaze P, Marquina C, Tiller J, Brotchie A, Kang YJ, Merritt MA, Green RC, Watts GF, Nowak KJ, Manchanda R, Canfell K, James P, Winship I, McNeil JJ, Ademi Z. Combined population genomic screening for three high-risk conditions in Australia: a modelling study. EClinicalMedicine 2023; 66:102297. [PMID: 38192593 PMCID: PMC10772163 DOI: 10.1016/j.eclinm.2023.102297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 01/10/2024] Open
Abstract
Background No previous health-economic evaluation has assessed the impact and cost-effectiveness of offering combined adult population genomic screening for mutliple high-risk conditions in a national public healthcare system. Methods This modeling study assessed the impact of offering combined genomic screening for hereditary breast and ovarian cancer, Lynch syndrome and familial hypercholesterolaemia to all young adults in Australia, compared with the current practice of clinical criteria-based testing for each condition separately. The intervention of genomic screening, assumed as an up-front single cost in the first annual model cycle, would detect pathogenic variants in seven high-risk genes. The simulated population was 18-40 year-olds (8,324,242 individuals), modelling per-sample test costs ranging AU$100-$1200 (base-case AU$200) from the year 2023 onwards with testing uptake of 50%. Interventions for identified high-risk variant carriers follow current Australian guidelines, modelling imperfect uptake and adherence. Outcome measures were morbidity and mortality due to cancer (breast, ovarian, colorectal and endometrial) and coronary heart disease (CHD) over a lifetime horizon, from healthcare-system and societal perspectives. Outcomes included quality-adjusted life years (QALYs) and incremental cost-effectiveness ratio (ICER), discounted 5% annually (with 3% discounting in scenario analysis). Findings Over the population lifetime (to age 80 years), the model estimated that genomic screening per-100,000 individuals would lead to 747 QALYs gained by preventing 63 cancers, 31 CHD cases and 97 deaths. In the total model population, this would translate to 31,094 QALYs gained by preventing 2612 cancers, 542 non-fatal CHD events and 4047 total deaths. At AU$200 per-test, genomic screening would require an investment of AU$832 million for screening of 50% of the population. Our findings suggest that this intervention would be cost-effective from a healthcare-system perspective, yielding an ICER of AU$23,926 (∼£12,050/€14,110/US$15,345) per QALY gained over the status quo. In scenario analysis with 3% discounting, an ICER of AU$4758/QALY was obtained. Sensitivity analysis for the base case indicated that combined genomic screening would be cost-effective under 70% of simulations, cost-saving under 25% and not cost-effective under 5%. Threshold analysis showed that genomic screening would be cost-effective under the AU$50,000/QALY willingness-to-pay threshold at per-test costs up to AU$325 (∼£164/€192/US$208). Interpretation Our findings suggest that offering combined genomic screening for high-risk conditions to young adults would be cost-effective in the Australian public healthcare system, at currently realistic testing costs. Other matters, including psychosocial impacts, ethical and societal issues, and implementation challenges, also need consideration. Funding Australian Government, Department of Health, Medical Research Future Fund, Genomics Health Futures Mission (APP2009024). National Heart Foundation Future Leader Fellowship (102604).
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Affiliation(s)
- Paul Lacaze
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Clara Marquina
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC 3052, Australia
| | - Jane Tiller
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Adam Brotchie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Yoon-Jung Kang
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 2011, Australia
| | - Melissa A. Merritt
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 2011, Australia
| | - Robert C. Green
- Mass General Brigham, Broad Institute, Ariadne Labs and Harvard Medical School, Boston, MA, 02114, USA
| | - Gerald F. Watts
- School of Medicine, University of Western Australia, Perth, WA 6009, Australia
- Departments of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, WA, 6001, Australia
| | - Kristen J. Nowak
- Public and Aboriginal Health Division, Western Australia Department of Health, East Perth, WA, 6004, Australia
- Centre for Medical Research, The University of Western Australia, Crawley, WA, 6009, Australia
| | - Ranjit Manchanda
- Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
- Department of Health Services Research, Faculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Karen Canfell
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, NSW 2011, Australia
| | - Paul James
- Parkville Familial Cancer Centre, Peter McCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, VIC, 3050, Australia
- Department of Medicine, University of Melbourne, Parkville, VIC, 3050, Australia
| | - Ingrid Winship
- Department of Genomic Medicine, Royal Melbourne Hospital City Campus, Parkville, VIC, 3050, Australia
- Department of Medicine, University of Melbourne, Parkville, VIC, 3050, Australia
| | - John J. McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Zanfina Ademi
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC 3052, Australia
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Ayonrinde OT, Sanfilippo FM, Schultz C. Prescribing aspirin to older people - where is the line between cardiovascular benefit and upper gastrointestinal bleeding risk? Intern Med J 2022; 52:1468-1470. [PMID: 36100571 DOI: 10.1111/imj.15905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/08/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Oyekoya T Ayonrinde
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Perth, Western Australia, Australia.,Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Frank M Sanfilippo
- School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.,Pharmacy Department, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Carl Schultz
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Cardiology Department, Royal Perth Hospital, Perth, Western Australia, Australia
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