1
|
Fasseeh AN, Korra N, Elezbawy B, Sedrak AS, Gamal M, Eldessouki R, Eldebeiky M, George M, Seyam A, Abourawash A, Khalifa AY, Shaheen M, Abaza S, Kaló Z. Framework for developing cost-effectiveness analysis threshold: the case of Egypt. J Egypt Public Health Assoc 2024; 99:12. [PMID: 38825614 PMCID: PMC11144683 DOI: 10.1186/s42506-024-00159-7] [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: 04/06/2023] [Accepted: 05/01/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Cost-effectiveness analyses rarely offer useful insights to policy decisions unless their results are compared against a benchmark threshold. The cost-effectiveness threshold (CET) represents the maximum acceptable monetary value for achieving a unit of health gain. This study aimed to identify CET values on a global scale, provide an overview of using multiple CETs, and propose a country-specific CET framework specifically tailored for Egypt. The proposed framework aims to consider the globally identified CETs, analyze global trends, and consider the local structure of Egypt's healthcare system. METHODS We conducted a literature review to identify CET values, with a particular focus on understanding the basis of differentiation when multiple thresholds are present. CETs of different countries were reviewed from secondary sources. Additionally, we assembled an expert panel to develop a national CET framework in Egypt and propose an initial design. This was followed by a multistakeholder workshop, bringing together representatives of different governmental bodies to vote on the threshold value and finalize the recommended framework. RESULTS The average CET, expressed as a percentage of the gross domestic product (GDP) per capita across all countries, was 135%, with a range of 21 to 300%. Interestingly, while the absolute value of CET increased with a country's income level, the average CET/GDP per capita showed an inverse relationship. Some countries applied multiple thresholds based on disease severity or rarity. In the case of Egypt, the consensus workshop recommended a threshold ranging from one to three times the GDP per capita, taking into account the incremental relative quality-adjusted life years (QALY) gain. For orphan medicines, a CET multiplier between 1.5 and 3.0, based on the disease rarity, was recommended. A two-times multiplier was proposed for the private reimbursement threshold compared to the public threshold. CONCLUSION The CET values in most countries appear to be closely related to the GDP per capita. Higher-income countries tend to use a lower threshold as a percentage of their GDP per capita, contrasted with lower-income countries. In Egypt, experts opted for a multiple CET framework to assess the value of health technologies in terms of reimbursement and pricing.
Collapse
Affiliation(s)
- Ahmad N Fasseeh
- Faculty of Pharmacy Alexandria University, Alexandria, Egypt
- Syreon Middle East, Alexandria, Egypt
| | | | | | - Amal S Sedrak
- Department of Public Health, Cairo University, Cairo, Egypt
- Egyptian Authority for Unified Procurement, Medical Supply and Technology Management, Cairo, Egypt
| | - Mary Gamal
- Egyptian Authority for Unified Procurement, Medical Supply and Technology Management, Cairo, Egypt
| | - Randa Eldessouki
- Department of Community Health, Fayoum University, Fayoum, Egypt
| | - Mariam Eldebeiky
- Egyptian Authority for Unified Procurement, Medical Supply and Technology Management, Cairo, Egypt
| | | | - Ahmed Seyam
- Universal Health Insurance Authority, Cairo, Egypt
| | | | - Ahmed Y Khalifa
- World Health Organization Representative Office, Cairo, Egypt
| | | | | | - Zoltán Kaló
- Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
- Syreon Research Institute, Budapest, Hungary
| |
Collapse
|
2
|
Degeling K, Vu M, Koffijberg H, Wong HL, Koopman M, Gibbs P, IJzerman M. Health Economic Models for Metastatic Colorectal Cancer: A Methodological Review. PHARMACOECONOMICS 2020; 38:683-713. [PMID: 32319026 DOI: 10.1007/s40273-020-00908-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
OBJECTIVE The aim of this systematic review was to provide a comprehensive and detailed review of structural and methodological assumptions in model-based cost-effectiveness analyses of systemic metastatic colorectal cancer (mCRC) treatments, and discuss their potential impact on health economic outcome estimates. METHODS Five databases (EMBASE, MEDLINE, Cochrane Library, Health Technology Assessment and National Health Service Health Economic Evaluation Database) were searched on 26 August 2019 for model-based full health economic evaluations of systemic mCRC treatment using a combination of free-text terms and subject headings. Full-text publications in English were eligible for inclusion if they were published in or after the year 2000. The Consolidated Health Economic Evaluation Reporting Standards checklist was used to assess the reporting quality of included publications. Study selection, appraisal and data extraction were performed by two reviewers independently. RESULTS The search yielded 1418 publications, of which 54 were included, representing 51 unique studies. Most studies focused on first-line treatment (n = 29, 57%), followed by third-line treatment (n = 13, 25%). Model structures were health-state driven (n = 27, 53%), treatment driven (n = 19, 37%), or a combination (n = 5, 10%). Cohort-level state-transition modelling (STM) was the most common technique (n = 33, 65%), followed by patient-level STM and partitioned survival analysis (both n = 6, 12%). Only 15 studies (29%) reported some sort of model validation. Health economic outcomes for specific strategies differed substantially between studies. For example, survival following first-line treatment with fluorouracil, leucovorin and oxaliplatin ranged from 1.21 to 7.33 years, with treatment costs ranging from US$8125 to US$126,606. CONCLUSIONS Model-based cost-effectiveness analyses of systemic mCRC treatments have adopted varied modelling methods and structures, resulting in substantially different outcomes. As models generally focus on first-line treatment without consideration of downstream treatments, there is a profound source of structural uncertainty implying that the cost-effectiveness of treatments across the mCRC pathway remains uncertain.
Collapse
Affiliation(s)
- Koen Degeling
- Cancer Health Services Research, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
- Cancer Health Services Research, Centre for Health Policy, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
| | - Martin Vu
- Cancer Health Services Research, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
- Cancer Health Services Research, Centre for Health Policy, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Hendrik Koffijberg
- Health Technology and Services Research, Technical Medical Centre, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, The Netherlands
| | - Hui-Li Wong
- Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Miriam Koopman
- Department of Medical Oncology, University Medical Centre Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Peter Gibbs
- Personalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
- Department of Medical Oncology, Western Health, Melbourne, Australia
| | - Maarten IJzerman
- Cancer Health Services Research, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
- Cancer Health Services Research, Centre for Health Policy, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
- Health Technology and Services Research, Technical Medical Centre, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, The Netherlands
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
| |
Collapse
|