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Vallejo-Torres L, Oliva-Moreno J, Lobo F. Exploring the uptake of economic evaluation in Spanish reports positioning medicines for public reimbursement. HEALTH ECONOMICS, POLICY, AND LAW 2024:1-13. [PMID: 39664003 DOI: 10.1017/s1744133124000264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2024]
Abstract
Therapeutic positioning reports (IPTs, Spanish acronym) are a crucial tool for informing funding and pricing decisions for drugs in the Spanish healthcare system. In 2020, for the first time the inclusion of economic evaluations (EEs) was explicitly set as a primary objective in a new Action Plan aimed at consolidating IPTs. This paper seeks to examine the uptake of EE into IPTs and to compare the methods and techniques employed in the EEs conducted during the two-year pilot phase following the reform, i.e., from June 2021 to July 2023. During this period, a total of 181 IPTs were published, with 19 (10.5%) incorporating an EE section. However, out of these 19 identified IPTs, six did not actually conduct a de novo EE, and four only performed a drug cost minimisation analysis. Six IPTs conducted EE analyses following international methodological standards. Based on this review, we observe that the percentage of IPTs incorporating EEs had remained low and exhibited significant heterogeneity. The experience of these two years must be translated into lessons that can serve to reinforce the evaluation of the efficiency of medicines in Spain in the coming years.
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Affiliation(s)
- Laura Vallejo-Torres
- Department of Quantitative Methods in Economics and Management,Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Juan Oliva-Moreno
- Economic Analysis and Finance Department, Universidad de Castilla-La Mancha, Toledo, Spain
- CIBERFES, ISCIII, Madrid, Spain
| | - Félix Lobo
- Department of Economics, Universidad Carlos III de, Madrid, Spain
- Fundación de Cajas de Ahorros (FUNCAS), Madrid, Spain
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Chatterton ML, Lee YY, Le LKD, Nichols M, Carter R, Berk M, Mihalopoulos C. Cost-utility analysis of adjunct repetitive transcranial magnetic stimulation for treatment resistant bipolar depression. J Affect Disord 2024; 356:639-646. [PMID: 38657770 DOI: 10.1016/j.jad.2024.04.075] [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: 06/01/2023] [Revised: 01/30/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE To evaluate the cost-effectiveness of repetitive transcranial magnetic stimulation (rTMS) as an adjunct to standard care from an Australian health sector perspective, compared to standard care alone for adults with treatment-resistant bipolar depression (TRBD). METHODS An economic model was developed to estimate the cost per disability-adjusted life-year (DALY) averted and quality-adjusted life-year (QALY) gained for rTMS added to standard care compared to standard care alone, for adults with TRBD. The model simulated the time in three health states (mania, depression, residual) over one year. Response to rTMS was sourced from a meta-analysis, converted to a relative risk and used to modify the time in the depressed state. Uncertainty and sensitivity tested the robustness of results. RESULTS Base-case incremental cost-effectiveness ratios (ICERs) were $72,299 per DALY averted (95 % Uncertainty Interval (UI): $60,915 to $86,668) and $46,623 per QALY gained (95 % UI: $39,676 - $55,161). At a willingness to pay (WTP) threshold of $96,000 per DALY averted, the base-case had a 100 % probability of being marginally cost-effective. At a WTP threshold of $64,000 per QALY gained, the base-case had a 100 % probability of being cost-effective. Sensitivity analyses decreasing the number of sessions provided, increasing the disability weight or the time spent in the depression state for standard care improved the ICERs for rTMS. CONCLUSIONS Dependent on the outcome measure utilised and assumptions, rTMS would be considered a very cost-effective or marginally cost-effective adjunct to standard care for TRBD compared to standard care alone.
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Affiliation(s)
- Mary Lou Chatterton
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Yong Yi Lee
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; School of Public Health, The University of Queensland, Herston, Australia; Queensland Centre for Mental Health Research, Brisbane, Australia
| | - Long Khanh-Dao Le
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Melanie Nichols
- Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Rob Carter
- Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Cathrine Mihalopoulos
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Institute for Health Transformation, Deakin University, Geelong, Australia
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Van Helden SR, Schulz LT, Wimmer M, Cancelliere VL, Rose WE. Finding value in novel antibiotics: How can infectious diseases adopt incremental cost-effectiveness to improve new antibiotic utilization? Diagn Microbiol Infect Dis 2024; 109:116245. [PMID: 38522368 DOI: 10.1016/j.diagmicrobio.2024.116245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 01/08/2024] [Accepted: 03/04/2024] [Indexed: 03/26/2024]
Abstract
Research and development of innovative antimicrobials is paramount to addressing the antimicrobial resistance threat. Although antimicrobial discovery and development has increased, difficulties have emerged in the pharmaceutical industry after market approval. In this minireview, we summarize clinical trial data on recently approved antibiotics, calculate incremental cost-effectiveness ratio (ICER) values, and explore ways to adapt ICER calculations to the limitations of antimicrobial clinical trial design. We provide a systematic review and analysis of randomized, controlled studies of antibiotics approved from 2014 - 2022 and extracted the relevant clinical data. Adapted-ICER (aICER) calculations were conducted using the primary condition-specific outcome that was reported in each study (percent mortality or percent cure rate). The literature search identified 18 studies for the 8 total antibiotics which met inclusion criteria and contained data required for aICER calculation. aICER values ranged from -$17,374 to $4,966 per percent mortality and -$43,931 to $2,529 per percent cure rate. With regards to mortality, ceftolozane/tazobactam and imipenem/cilastatin/relebactam proved cost efficacious, with aICER values of $4,965 per percent mortality and $1,955 per percent mortality respectively. Finding value in novel antibiotic agents is imperative to further justifying their development, and aICER values are the most common method of determining value in healthcare. The current outcomes of clinical trials are difficult to translate to aICER, which most effectively use Quality-Adjusted Life Years (QALY) as the quality standard in other fields such as oncology. Future antimicrobial trials should consider introducing methods of assessing measures of health gain such as QALY to better translate the value of novel antimicrobials in healthcare.
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Affiliation(s)
- Sean R Van Helden
- Pharmacy Practice and Translational Research Division, University of Wisconsin-Madison School of Pharmacy, United States
| | - Lucas T Schulz
- Pharmacy Practice and Translational Research Division, University of Wisconsin-Madison School of Pharmacy, United States; Department of Pharmacy, UW Health, United States.
| | - Megan Wimmer
- Pharmacy Practice and Translational Research Division, University of Wisconsin-Madison School of Pharmacy, United States
| | - Victoria L Cancelliere
- Pharmacy Practice and Translational Research Division, University of Wisconsin-Madison School of Pharmacy, United States
| | - Warren E Rose
- Pharmacy Practice and Translational Research Division, University of Wisconsin-Madison School of Pharmacy, United States; Department of Pharmacy, UW Health, United States
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de Jersey S, Keramat SA, Chang A, Meloncelli N, Guthrie T, Eakin E, Comans T. A cost-effectiveness evaluation of a dietitian-delivered telephone coaching program during pregnancy for preventing gestational diabetes mellitus. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2024; 22:18. [PMID: 38429805 PMCID: PMC10908067 DOI: 10.1186/s12962-024-00520-9] [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: 01/17/2023] [Accepted: 01/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND This study aimed to evaluate the cost-effectiveness of a telehealth coaching intervention to prevent gestational diabetes mellitus (GDM) and to calculate the breakeven point of preventing GDM. METHODS Data to inform the economic evaluation model was sourced directly from the large quaternary hospital in Brisbane, where the Living Well during Pregnancy (LWdP) program was implemented, and further supplemented with literature-based estimates where data had not been directly collected in the trial. A cost-effectiveness model was developed using a decision tree framework to estimate the potential for cost savings and quality of life improvement. A total of 1,315 pregnant women (49% with a BMI 25-29.9, and 51% with a BMI ≥ 30) were included in the analyses. RESULTS The costs of providing routine care and routine care plus LWdP coaching intervention to pregnant women were calculated to be AUD 20,933 and AUD 20,828, respectively. The effectiveness of the LWdP coaching program (0.894 utility) was slightly higher compared to routine care (0.893). Therefore, the value of the incremental cost-effectiveness ratio (ICER) was negative, and it indicates that the LWdP coaching program is a dominant strategy to prevent GDM in pregnant women. We also performed a probabilistic sensitivity analysis using Monte Carlo simulation through 1,000 simulations. The ICE scatter plot showed that the LWdP coaching intervention was dominant over routine care in 93.60% of the trials using a willingness to pay threshold of AUD 50,000. CONCLUSION Findings support consideration by healthcare policy and decision makers of telehealth and broad-reach delivery of structured lifestyle interventions during pregnancy to lower short-term costs associated with GDM to the health system.
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Affiliation(s)
- Susan de Jersey
- Department of Dietetics and Food Services, Royal Brisbane and Women's Hospital, Metro North Health, Brisbane, Australia.
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
| | - Syed Afroz Keramat
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Angela Chang
- Centre for Allied Health Research, Royal Brisbane and Women's Hospital, Metro North Health, Brisbane, Australia
| | - Nina Meloncelli
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Taylor Guthrie
- Department of Dietetics and Food Services, Royal Brisbane and Women's Hospital, Metro North Health, Brisbane, Australia
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Elizabeth Eakin
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Tracy Comans
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Brown V, Sheppard L, Salmon J, Arundell L, Cerin E, Ridgers ND, Hesketh KD, Daly RM, Dunstan DW, Brown H, Gatta JD, Chinapaw JMM, Moodie M. Cost-effectiveness of reducing children's sedentary time and increasing physical activity at school: the Transform-Us! intervention. Int J Behav Nutr Phys Act 2024; 21:15. [PMID: 38347579 PMCID: PMC10860323 DOI: 10.1186/s12966-024-01560-3] [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: 08/13/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Improving physical activity and reducing sedentary behavior represent important areas for intervention in childhood in order to reduce the burden of chronic disease related to obesity and physical inactivity in later life. This paper aims to determine the cost-effectiveness of a multi-arm primary school-based intervention to increase physical activity and/or reduce sedentary time in 8-9 year old children (Transform-Us!). METHODS Modelled cost-utility analysis, using costs and effects from a cluster randomized controlled trial of a 30-month intervention that used pedagogical and environmental strategies to reduce and break up sedentary behaviour (SB-I), promote physical activity (PA-I), or a combined approach (PA + SB-I), compared to current practice. A validated multiple-cohort lifetable model (ACE-Obesity Policy model) estimated the obesity and physical activity-related health outcomes (measured as change in body mass index and change in metabolic equivalent task minutes respectively) and healthcare cost-savings over the cohort's lifetime from the public-payer perspective, assuming the intervention was delivered to all 8-9 year old children attending Australian Government primary schools. Sensitivity analyses tested the impact on cost-effectiveness of varying key input parameters, including maintenance of intervention effect assumptions. RESULTS Cost-effectiveness results demonstrated that, when compared to control schools, the PA-I and SB-I intervention arms were "dominant", meaning that they resulted in net health benefits and healthcare cost-savings if the intervention effects were maintained. When the costs and effects of these intervention arms were extrapolated to the Australian population, results suggested significant potential as obesity prevention measures (PA-I: 60,780 HALYs saved (95% UI 15,007-109,413), healthcare cost-savings AUD641M (95% UI AUD165M-$1.1B); SB-I: 61,126 HALYs saved (95% UI 11,770 - 111,249), healthcare cost-savings AUD654M (95% UI AUD126M-1.2B)). The PA-I and SB-I interventions remained cost-effective in sensitivity analysis, assuming the full decay of intervention effect after 10 years. CONCLUSIONS The PA-I and SB-I Transform-Us! intervention arms represent good value for money and could lead to health benefits and healthcare cost-savings arising from the prevention of chronic disease in later life if intervention effects are sustained. TRIAL REGISTRATION International Standard Randomized Controlled Trial Number (ISRCTN83725066). Australia and New Zealand Clinical Trials Registry Number (ACTRN12609000715279).
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Affiliation(s)
- Vicki Brown
- Deakin University, Deakin Health Economics, Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation (IHT), Geelong, Australia.
| | - Lauren Sheppard
- Deakin University, Deakin Health Economics, Institute for Health Transformation, Geelong, Australia
| | - Jo Salmon
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), Geelong, Australia
| | - Lauren Arundell
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), Geelong, Australia
| | - Ester Cerin
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Nicola D Ridgers
- Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia; Deakin University, Institute for Physical Activity and Nutrition, Geelong, Australia
| | - Kylie D Hesketh
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), Geelong, Australia
| | - Robin M Daly
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), Geelong, Australia
| | | | - Helen Brown
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), Geelong, Australia
| | - Jacqueline Della Gatta
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), Geelong, Australia
| | - J M M Chinapaw
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Netherlands
| | - Marj Moodie
- Deakin University, Deakin Health Economics, Institute for Health Transformation, Geelong, Australia
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Peacock A, Dehle FC, Mesa Zapata OA, Gennari F, Williams MR, Hamad N, Larsen S, Harrison SJ, Taylor C. Cost-Effectiveness of Extracorporeal Photopheresis in Patients With Chronic Graft-vs-Host Disease. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2024; 11:23-31. [PMID: 38312919 PMCID: PMC10838062 DOI: 10.36469/001c.92028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 12/26/2023] [Indexed: 02/06/2024]
Abstract
Background: The mainstay first-line therapy for chronic graft-vs-host disease (cGVHD) is corticosteroids; however, for steroid-refractory patients, there is a distinct lack of cost-effective or efficacious treatment. The aim of this study was to assess the cost-effectiveness of extracorporeal photopheresis (ECP) compared with standard-of-care therapies for the treatment of cGVHD in Australia. The study formed part of an application to the Australian Government to reimburse ECP for these patients. Methods: A cost-utility analysis was conducted comparing ECP to standard of care, which modeled the response to treatment and disease progression of cGVHD patients in Australia. Mycophenolate, tacrolimus, and cyclosporin comprised second-line standard of care based on a survey of Australian clinicians. Health states in the model included treatment response, disease progression, and death. Transition probabilities were obtained from Australian-specific registry data and randomized controlled evidence. Quality-of-life values were applied based on treatment response. The analysis considered costs of second-line treatment and disease management including immunosuppressants, hospitalizations and subsequent therapy. Disease-specific mortality was calculated for treatment response and progression. Results: Over a 10-year time horizon, ECP resulted in an average cost reduction of $23 999 and an incremental improvement of 1.10 quality-adjusted life-years per patient compared with standard of care. The sensitivity analysis demonstrated robustness over a range of plausible scenarios. Conclusion: This analysis demonstrates that ECP improves quality of life, minimizes the harms associated with immunosuppressant therapy, and is a highly cost-effective option for steroid-refractory cGVHD patients in Australia. Based in part on this analysis, ECP was listed on the Medicare Benefits Schedule for public reimbursement.
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Affiliation(s)
| | | | | | | | | | - Nada Hamad
- Department of HaematologySt Vincent’s Hospital, Sydney, Australia
- St Vincent’s Clinical School, University of New South Wales, Sydney, Australia
- School of Medicine, University of Notre Dame, Sydney, Australia
| | - Stephen Larsen
- Sydney Medical School, University of Sydney, Sydney, Australia
- Institute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Simon J. Harrison
- Clinical HaematologyPeter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Australia
| | - Colman Taylor
- HTANALYSTS, Sydney, Australia
- The George Institute for Global Health, Sydney, Australia
- The University of New South Wales, Sydney, Australia
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Zhao R, Fairley CK, Cook AR, Phanuphak N, He S, Tieosapjaroen W, Chow EPF, Phillips TR, Jin Tan RK, Wei Y, Shen M, Zhuang G, Ong JJ, Zhang L. Optimising HIV pre-exposure prophylaxis and testing strategies in men who have sex with men in Australia, Thailand, and China: a modelling study and cost-effectiveness analysis. Lancet Glob Health 2024; 12:e243-e256. [PMID: 38245115 DOI: 10.1016/s2214-109x(23)00536-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND Men who have sex with men (MSM) in the Asia-Pacific region have a disproportionately high burden of HIV infection compared with the general population. Although pre-exposure prophylaxis (PrEP) for HIV is highly effective at preventing new HIV infections, the cost-effectiveness of PrEP for MSM in different countries in the Asia-Pacific region with varying PrEP coverage and HIV testing frequencies remains unstudied. We aimed to analyse the economic and health benefits of long-acting injectable cabotegravir (CAB-LA) compared with oral PrEP in high-income countries and low-income and middle-income countries within the Asia-Pacific region. METHODS We developed a decision-analytic Markov model to evaluate the population impact and cost-effectiveness of PrEP scale-up among MSM in Australia, Thailand, and China. We assumed a static cohort of 100 000 MSM aged 18 years or older who were at risk of HIV infection, with a monthly cycle length over a 40-year time period. We evaluated hypothetical scenarios with universal PrEP coverage of 80% among 100 000 suitable MSM in each country. We modelled oral PrEP and CAB-LA for MSM with diverse HIV testing frequency strategies. We adopted the health-care system's perspective with a 3% annual discount rate. We calculated the incremental cost-effectiveness ratio (ICER), measured as additional cost per quality-adjusted life-year (QALY) gained, to compare different strategies with the status quo in each country. All costs were reported in 2021 US$. We also performed one-way, two-way, and probabilistic sensitivity analyses to assess the robustness of our findings. FINDINGS Compared with the status quo in each country, expanding oral PrEP to 80% of suitable MSM would avert 8·1% of new HIV infections in Australia, 14·5% in Thailand, and 26·4% in China in a 40-year period. Expanding oral PrEP use with 6-monthly HIV testing for both PrEP and non-PrEP users was cost-saving for Australia. Similarly, expanding oral PrEP use remained the most cost-effective strategy in both Thailand and China, but optimal testing frequency varied, with annual testing in Thailand (ICER $4707 per QALY gained) and 3-monthly testing in China (ICER $16 926 per QALY gained) for both PrEP and non-PrEP users. We also found that replacing oral PrEP with CAB-LA for MSM could avert more new HIV infections (12·8% in Australia, 27·6% in Thailand, and 32·8% in China), but implementing CAB-LA was not cost-effective due to its high cost. The cost of CAB-LA would need to be reduced by 50-90% and be used as a complementary strategy to oral PrEP to be cost-effective in these countries. INTERPRETATION Expanding oral PrEP use for MSM, with country-specific testing frequency, is cost-effective in Australia, Thailand, and China. Due to the high cost, CAB-LA is currently not affordable as a single-use strategy but might be offered as an additional option to oral PrEP. FUNDING Ministry of Science and Technology of the People's Republic of China, the Australian National Health and Medical Research Council, National Key Research and Development Program of China, and National Natural Science Foundation of China.
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Affiliation(s)
- Rui Zhao
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Christopher K Fairley
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Alex R Cook
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Nittaya Phanuphak
- Institute of HIV Research and Innovation, Bangkok, Thailand; Center of Excellence in Transgender Health, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Shiyi He
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Warittha Tieosapjaroen
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Eric P F Chow
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
| | - Tiffany R Phillips
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Rayner Kay Jin Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; University of North Carolina Project-China, Guangzhou, China
| | - Yuhang Wei
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China; Interdisciplinary Center for Mathematics and Life Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China; Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Xi'an, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, China
| | - Guihua Zhuang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, China.
| | - Jason J Ong
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Lei Zhang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an Jiaotong University, Xi'an, China; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, China.
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8
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Hu W, Joseph S, Li R, Woods E, Sun J, Shen M, Jan CL, Zhu Z, He M, Zhang L. Population impact and cost-effectiveness of artificial intelligence-based diabetic retinopathy screening in people living with diabetes in Australia: a cost effectiveness analysis. EClinicalMedicine 2024; 67:102387. [PMID: 38314061 PMCID: PMC10837545 DOI: 10.1016/j.eclinm.2023.102387] [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: 08/22/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 02/06/2024] Open
Abstract
Background We aimed to evaluate the cost-effectiveness of an artificial intelligence-(AI) based diabetic retinopathy (DR) screening system in the primary care setting for both non-Indigenous and Indigenous people living with diabetes in Australia. Methods We performed a cost-effectiveness analysis between January 01, 2022 and August 01, 2023. A decision-analytic Markov model was constructed to simulate DR progression in a population of 1,197,818 non-Indigenous and 65,160 Indigenous Australians living with diabetes aged ≥20 years over 40 years. From a healthcare provider's perspective, we compared current practice to three primary care AI-based screening scenarios-(A) substitution of current manual grading, (B) scaling up to patient acceptance level, and (C) achieving universal screening. Study results were presented as incremental cost-effectiveness ratio (ICER), benefit-cost ratio (BCR), and net monetary benefits (NMB). A Willingness-to-pay (WTP) threshold of AU$50,000 per quality-adjusted life year (QALY) and a discount rate of 3.5% were adopted in this study. Findings With the status quo, the non-Indigenous diabetic population was projected to develop 96,269 blindness cases, resulting in AU$13,039.6 m spending on DR screening and treatment during 2020-2060. In comparison, all three intervention scenarios were effective and cost-saving. In particular, if a universal screening program was to be implemented (Scenario C), it would prevent 38,347 blindness cases, gain 172,090 QALYs and save AU$595.8 m, leading to a BCR of 3.96 and NMB of AU$9,200 m. Similar findings were also reported in the Indigenous population. With the status quo, 3,396 Indigenous individuals would develop blindness, which would cost the health system AU$796.0 m during 2020-2060. All three intervention scenarios were cost-saving for the Indigenous population. Notably, universal AI-based DR screening (Scenario C) would prevent 1,211 blindness cases and gain 9,800 QALYs in the Indigenous population, leading to a saving of AU$19.2 m with a BCR of 1.62 and NMB of AU$509 m. Interpretation Our findings suggest that implementing AI-based DR screening in primary care is highly effective and cost-saving in both Indigenous and non-Indigenous populations. Funding This project received grant funding from the Australian Government: the National Critical Research Infrastructure Initiative, Medical Research Future Fund (MRFAI00035) and the NHMRC Investigator Grant (APP1175405). The contents of the published material are solely the responsibility of the Administering Institution, a participating institution or individual authors and do not reflect the views of the NHMRC. This work was supported by the Global STEM Professorship Scheme (P0046113), the Fundamental Research Funds of the State Key Laboratory of Ophthalmology, Project of Investigation on Health Status of Employees in Financial Industry in Guangzhou, China (Z012014075). The Centre for Eye Research Australia receives Operational Infrastructure Support from the Victorian State Government. W.H. is supported by the Melbourne Research Scholarship established by the University of Melbourne. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
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Affiliation(s)
- Wenyi Hu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Sanil Joseph
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Rui Li
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, 710061, PR China
| | - Ekaterina Woods
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Jason Sun
- Eyetelligence Pty Ltd., Melbourne, Australia
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, 710061, PR China
| | - Catherine Lingxue Jan
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Mingguang He
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Lei Zhang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Clinical Medical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210008, China
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
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9
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Sun L, Li S, Peng X. Should additional value elements be included in cost-effectiveness analysis in pharmacoeconomic evaluation: a novel commentary. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2023; 21:79. [PMID: 37898809 PMCID: PMC10613353 DOI: 10.1186/s12962-023-00490-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 10/21/2023] [Indexed: 10/30/2023] Open
Abstract
In recent years, international academics recognized that quality-adjusted life-years (QALYs) may not always fully capture the benefits produced by an intervention, and considered incorporating additional elements of value into cost-effectiveness analysis (CEA). Examples of these elements are adherence-improving factors, insurance value, value of hope, and real option value, which form the "value flower". In order to explore whether it is scientific and reasonable to incorporate additional elements into CEA, this paper focuses on what pharmacoeconomic evaluation should do and what it can do. By elaborating the connotation of value, the connotation of decision, and tracing the origin of pharmacoeconomic evaluation, we believe that it is unscientific and unreasonable to incorporate additional elements of value into CEA, which has exceeded the essential connotation and capability of pharmacoeconomic evaluation. The analysis results belong to the theoretical level, empirical test is needed to verify the correctness and scientificity of this conclusion in the future.
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Affiliation(s)
- Lihua Sun
- School of Business Administration, Shenyang Pharmaceutical University, Shenyang, Liaoning, China.
| | - Shiqi Li
- School of Business Administration, Shenyang Pharmaceutical University, Shenyang, Liaoning, China
| | - Xiaochen Peng
- School of Business Administration, Shenyang Pharmaceutical University, Shenyang, Liaoning, China
- Shanghai Health Development Research Centre, Shanghai, 201199, China
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10
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Jin H, Tappenden P, Ling X, Robinson S, Byford S. A systematic review of whole disease models for informing healthcare resource allocation decisions. PLoS One 2023; 18:e0291366. [PMID: 37708188 PMCID: PMC10501624 DOI: 10.1371/journal.pone.0291366] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 08/28/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Whole disease models (WDM) are large-scale, system-level models which can evaluate multiple decision questions across an entire care pathway. Whilst this type of model can offer several advantages as a platform for undertaking economic analyses, the availability and quality of existing WDMs is unknown. OBJECTIVES This systematic review aimed to identify existing WDMs to explore which disease areas they cover, to critically assess the quality of these models and provide recommendations for future research. METHODS An electronic search was performed on multiple databases (MEDLINE, EMBASE, the NHS Economic Evaluation Database and the Health Technology Assessment database) on 23rd July 2023. Two independent reviewers selected studies for inclusion. Study quality was assessed using the National Institute for Health and Care Excellence (NICE) appraisal checklist for economic evaluations. Model characteristics were descriptively summarised. RESULTS Forty-four WDMs were identified, of which thirty-two were developed after 2010. The main disease areas covered by existing WDMs are heart disease, cancer, acquired immune deficiency syndrome and metabolic disease. The quality of included WDMs is generally low. Common limitations included failure to consider the harms and costs of adverse events (AEs) of interventions, lack of probabilistic sensitivity analysis (PSA) and poor reporting. CONCLUSIONS There has been an increase in the number of WDMs since 2010. However, their quality is generally low which means they may require significant modification before they could be re-used, such as modelling AEs of interventions and incorporation of PSA. Sufficient details of the WDMs need to be reported to allow future reuse/adaptation.
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Affiliation(s)
- Huajie Jin
- King’s Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King’s College London, London, United Kingdom
| | - Paul Tappenden
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
| | - Xiaoxiao Ling
- Department of Statistical Science, University College London, London, United Kingdom
| | | | - Sarah Byford
- King’s Health Economics (KHE), Institute of Psychiatry, Psychology & Neuroscience at King’s College London, London, United Kingdom
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11
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Cheng Q, Poynten IM, Jin F, Grulich A, Ong JJ, Hillman RJ, Hruby G, Howard K, Newall AT, Boettiger DC. Cost-effectiveness of treating serendipitously diagnosed anal pre-cancerous lesions among gay, bisexual and other men who have sex with men living with HIV. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 37:100756. [PMID: 37693870 PMCID: PMC10485666 DOI: 10.1016/j.lanwpc.2023.100756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/16/2023] [Accepted: 03/19/2023] [Indexed: 09/12/2023]
Affiliation(s)
- Qinglu Cheng
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - I. Mary Poynten
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Fengyi Jin
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Andrew Grulich
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Jason J. Ong
- Central Clinical School, Monash University, Melbourne, Australia
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
| | - Richard J. Hillman
- Kirby Institute, University of New South Wales, Sydney, Australia
- HIV and Immunology, St Vincent's Hospital, Sydney, Australia
| | - George Hruby
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia
- Menzies Centre for Health Policy & Economics, University of Sydney, Sydney, Australia
- Genesis Cancer Care, Sydney, Australia
| | - Kirsten Howard
- Menzies Centre for Health Policy & Economics, University of Sydney, Sydney, Australia
| | - Anthony T. Newall
- School of Population Health, University of New South Wales, Sydney, Australia
| | - David C. Boettiger
- Kirby Institute, University of New South Wales, Sydney, Australia
- Institute for Health and Aging, University of California, San Francisco, USA
- Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
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12
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Nguyen P, Ananthapavan J, Gao L, Dunstan DW, Moodie M. Cost-effectiveness analysis of sedentary behaviour interventions in offices to reduce sitting time in Australian desk-based workers: A modelling study. PLoS One 2023; 18:e0287710. [PMID: 37384626 PMCID: PMC10309613 DOI: 10.1371/journal.pone.0287710] [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: 09/13/2022] [Accepted: 06/09/2023] [Indexed: 07/01/2023] Open
Abstract
OBJECTIVES Sedentary behaviour (SB) is associated with increased incidence of chronic diseases such as type 2 diabetes (T2D), cardiovascular disease, cancers, and premature mortality. SB interventions in workplaces are effective in reducing sitting time. Previous economic evaluations have not specifically used changes in sitting time to estimate the long-term impact of SB on chronic disease-related health and cost outcomes. This research evaluated the cost-effectiveness of three hypothetical SB interventions: behavioural (BI), environmental (EI) and multi-component intervention (MI), implemented in the Australian context, using a newly developed epidemiological model that estimates the impact of SB as a risk factor on long-term population health and associated cost outcomes. METHOD Pathway analysis was used to identify the resource items associated with implementing each of the three interventions using a limited societal perspective (included costs: health sector, individuals and industry; excluded costs: productivity). The effectiveness of the modelled interventions in reducing daily sitting time (informed by published meta-analyses) was modelled for the Australian working population aged 20-65 years. A multi-cohort Markov model was developed to simulate the 2019 Australian population and estimate the incidence, prevalence and mortality of five diseases causally related to excessive sitting time, over the life course. Monte-Carlo simulations were used to calculate each intervention's mean incremental costs and benefits (quantified as health adjusted life years HALYs) compared to a do-nothing comparator. RESULTS When implemented at the national level, the interventions were estimated to reach 1,018 organisations with 1,619,239 employees. The estimated incremental cost of SB interventions was A$159M (BI), A$688M (EI) and A$438M (MI) over a year. Incremental health-adjusted life years (HALYs) gained by BI, EI and MI were 604, 919 and 349, respectively. The mean ICER for BI was A$251,863 per HALY gained, A$737,307 for EI and A$1,250,426 for MI. Only BI had any probability (2%) of being cost-effective at a willingness-to-pay threshold of A$50,000 per HALY gained from a societal perspective. CONCLUSION SB interventions are not cost-effective when a reduction in sitting time is the outcome measure of interest. The cost-effectiveness results are heavily driven by the cost of the sit-stand desks and the small HALYs gained from reducing sitting time. Future research should focus on capturing non-health-benefits of these interventions, such as productivity, work satisfaction, and other health benefits: metabolic, physical, and musculoskeletal outcomes. Importantly, the health benefits of simultaneously reducing sitting time and increasing standing time for such interventions should be captured with the joint effects of these risk factors appropriately considered.
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Affiliation(s)
- Phuong Nguyen
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Jaithri Ananthapavan
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Lan Gao
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia
| | - David W. Dunstan
- Baker Heart and Diabetes Institute, Melbourne, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
- Institute for Physical Activity and Nutrition, Faculty of Health, Deakin University, Geelong, Vitoria, Australia
| | - Marj Moodie
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
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13
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Xiong X, Huang L, Herd DW, Borland ML, Davidson A, Hearps S, Mackay MT, Lee KJ, Dalziel SR, Dalziel K, Cheek JA, Babl FE. Cost-effectiveness of Prednisolone to Treat Bell Palsy in Children: An Economic Evaluation Alongside a Randomized Controlled Trial. Neurology 2023; 100:e2432-e2441. [PMID: 37072220 PMCID: PMC10264054 DOI: 10.1212/wnl.0000000000207284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/27/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Bell palsy is the third most frequent diagnosis in children with sudden-onset neurologic dysfunction. The cost-effectiveness of treating Bell palsy with prednisolone in children is unknown. We aimed to assess the cost-effectiveness of prednisolone in treating Bell palsy in children compared with placebo. METHODS This economic evaluation was a prospectively planned secondary analysis of a double-blinded, randomized, placebo-controlled superiority trial (Bell Palsy in Children [BellPIC]) conducted from 2015 to 2020. The time horizon was 6 months since randomization. Children aged 6 months to <18 years who presented within 72 hours of onset of clinician-diagnosed Bell palsy and who completed the trial were included (N = 180). Interventions were oral prednisolone or taste-matched placebo administered for 10 days. Incremental cost-effectiveness ratio comparing prednisolone with placebo was estimated. Costs were considered from a health care sector perspective and included Bell palsy-related medication cost, doctor visits, and medical tests. Effectiveness was measured using quality-adjusted life-years (QALYs) based on Child Health Utility 9D. Nonparametric bootstrapping was performed to capture uncertainties. Prespecified subgroup analysis by age 12 to <18 years vs <12 years was conducted. RESULTS The mean cost per patient was A$760 in the prednisolone group and A$693 in the placebo group over the 6-month period (difference A$66, 95% CI -A$47 to A$179). QALYs over 6 months were 0.45 in the prednisolone group and 0.44 in the placebo group (difference 0.01, 95% CI -0.01 to 0.03). The incremental cost to achieve 1 additional recovery was estimated to be A$1,577 using prednisolone compared with placebo, and cost per additional QALY gained was A$6,625 using prednisolone compared with placebo. Given a conventional willingness-to-pay threshold of A$50,000 per QALY gained (equivalent to US$35,000 or £28,000), prednisolone is very likely cost-effective (probability is 83%). Subgroup analysis suggests that this was primarily driven by the high probability of prednisolone being cost-effective in children aged 12 to <18 years (probability is 98%) and much less so for those <12 years (probability is 51%). DISCUSSION This provides new evidence to stakeholders and policymakers when considering whether to make prednisolone available in treating Bell palsy in children aged 12 to <18 years. TRIAL REGISTRATION INFORMATION Australian New Zealand Clinical Trials Registry ACTRN12615000563561.
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Affiliation(s)
- Xiuqin Xiong
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Li Huang
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - David W Herd
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Meredith L Borland
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Andrew Davidson
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Stephen Hearps
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Mark T Mackay
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Katherine J Lee
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Stuart R Dalziel
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Kim Dalziel
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - John A Cheek
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Franz E Babl
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia.
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14
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Pinheiro MB, Hassett L, Sherrington C, Hayes A, van den Berg M, Lindley RI, Crotty M, Chagpar S, Treacy D, Weber H, Fairhall N, Wong S, McCluskey A, Togher L, Scrivener K, Howard K. Economic evaluation of digitally enabled aged and neurological rehabilitation care in the Activity and MObility UsiNg Technology (AMOUNT) trial. Clin Rehabil 2023; 37:651-666. [PMID: 36408722 DOI: 10.1177/02692155221138920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To investigate the trial-based cost-effectiveness of the addition of a tailored digitally enabled exercise intervention to usual care shown to be clinically effective in improving mobility in the Activity and MObility UsiNg Technology (AMOUNT) rehabilitation trial compared to usual care alone. DESIGN Economic evaluation alongside a pragmatic randomized controlled trial. PARTICIPANTS 300 people receiving inpatient aged and neurological rehabilitation were randomized to the intervention (n = 149) or usual care control group (n = 151). MAIN MEASURES Incremental cost effectiveness ratios were calculated for the additional costs per additional person demonstrating a meaningful improvement in mobility (3-point in Short Physical Performance Battery) and quality-adjusted life years gained at 6 months (primary analysis). The joint probability distribution of costs and outcomes was examined using bootstrapping. RESULTS The mean cost saving for the intervention group at 6 months was AU$2286 (95% Bootstrapped cost CI: -$11,190 to $6410) per participant; 68% and 67% of bootstraps showed the intervention to be dominant (i.e. more effective and cost saving) for mobility and quality-adjusted life years, respectively. The probability of the intervention being cost-effective considering a willingness to pay threshold of AU$50,000 per additional person with a meaningful improvement in mobility or quality-adjusted life year gained was 93% and 77%, respectively. CONCLUSIONS The AMOUNT intervention had a high probability of being cost-effective if decision makers are willing to pay AU$50,000 per meaningful improvement in mobility or per quality-adjusted life year gained, and a moderate probability of being cost-saving and effective considering both outcomes at 6 months post randomization.
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Affiliation(s)
- Marina B Pinheiro
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Leanne Hassett
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Catherine Sherrington
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Alison Hayes
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Maayken van den Berg
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Clinical Rehabilitation, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Richard I Lindley
- Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- George Institute for Global Health, Sydney, Australia
| | - Maria Crotty
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Sakina Chagpar
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Daniel Treacy
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Physiotherapy Department, Prince of Wales Hospital, 2989South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Heather Weber
- Rehabilitation, Aged and Extended Care, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Clinical Rehabilitation, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Nicola Fairhall
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Siobhan Wong
- Institute for Musculoskeletal Health, University of Sydney and Sydney Local Health District, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Annie McCluskey
- Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- StrokeEd Collaboration, Sydney, New South Wales, Australia
| | - Leanne Togher
- Sydney School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Katharine Scrivener
- StrokeEd Collaboration, Sydney, New South Wales, Australia
- Faculty of Medicine and Health Sciences, 7788Macquarie University, Sydney, New South Wales, Australia
| | - Kirsten Howard
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Menzies Centre for Health Policy and Economics, School of Public Health, University of Sydney, Sydney, New South Wales, Australia
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15
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Sharman Moser S, Tanser F, Siegelmann-Danieli N, Apter L, Chodick G, Solomon J. The reimbursement process in three national healthcare systems: variation in time to reimbursement of pembrolizumab for metastatic non-small cell lung cancer. J Pharm Policy Pract 2023; 16:22. [PMID: 36797806 PMCID: PMC9936745 DOI: 10.1186/s40545-023-00529-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/07/2023] [Indexed: 02/18/2023] Open
Abstract
In this article, we focus on the reimbursement process, and as an example, characterize the time to reimbursement of pembrolizumab, a PD-1 immune checkpoint inhibitor for treatment of metastatic NSCLC from publicly available websites, in three different healthcare systems: The National Institute for Health and Care Excellence (NICE) in the UK, the Pharmaceutical Benefits Advisory Committee (PBAC) in Australia, and the National Advisory Committee for the Basket of Health Services in Israel, all who have publicly funded health systems which include drug coverage. Our study found that there are substantial differences in time to reimbursement of pembrolizumab for the same conditions in different countries, with NICE and The National Advisory Committee for the Basket of Health Services in Israel approving one condition at the same time, Israel approving two conditions earlier than NICE, and PBAC lagging behind for every condition. These differences could be due to the differences in health policy systems and the many factors that affect reimbursement. Comparing the reimbursement process between different countries can highlight the challenges facing their health systems in early adoption of new treatments.
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Affiliation(s)
- Sarah Sharman Moser
- Maccabi Institute for Research and Innovation (Maccabitech), Maccabi Healthcare Services, 27 Hamered St, 6812509, Tel Aviv, Israel.
| | - Frank Tanser
- grid.36511.300000 0004 0420 4262Lincoln International Institute of Rural Health, Lincoln Medical School, University of Lincoln, Brayford Way, Brayford Pool, Lincoln, LN6 7TS UK
| | - Nava Siegelmann-Danieli
- grid.425380.8Maccabi Institute for Research and Innovation (Maccabitech), Maccabi Healthcare Services, 27 Hamered St, 6812509 Tel Aviv, Israel ,grid.12136.370000 0004 1937 0546Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Lior Apter
- grid.425380.8Maccabi Institute for Research and Innovation (Maccabitech), Maccabi Healthcare Services, 27 Hamered St, 6812509 Tel Aviv, Israel ,grid.7489.20000 0004 1937 0511Department of Health Systems Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Gabriel Chodick
- grid.425380.8Maccabi Institute for Research and Innovation (Maccabitech), Maccabi Healthcare Services, 27 Hamered St, 6812509 Tel Aviv, Israel ,grid.12136.370000 0004 1937 0546Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Josie Solomon
- grid.36511.300000 0004 0420 4262The School of Pharmacy, Joseph Banks Laboratories, University of Lincoln, Beevor Street, Lincoln, LN6 7DL UK
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16
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Cheng Q, Poynten IM, Jin F, Grulich A, Ong JJ, Hillman RJ, Hruby G, Howard K, Newall A, Boettiger DC. Cost-effectiveness of screening and treating anal pre-cancerous lesions among gay, bisexual and other men who have sex with men living with HIV. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 32:100676. [PMID: 36785857 PMCID: PMC9918792 DOI: 10.1016/j.lanwpc.2022.100676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/02/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023]
Abstract
Background Gay, bisexual and other men who have sex with men (GBM) living with HIV have a substantially elevated risk of anal cancer (85 cases per 100,000 person-years vs 1-2 cases per 100,000 person-years in the general population). The precursor to anal cancer is high-grade squamous intraepithelial lesion (HSIL). Findings regarding the cost-effectiveness of HSIL screening and treatment in GBM are conflicting. Using recent data on HSIL natural history and treatment effectiveness, we aimed to improve upon earlier models. Methods We developed a Markov cohort model populated using observational study data and published literature. Our study population was GBM living with HIV aged ≥35 years. We used a lifetime horizon and framed our model on the Australian healthcare perspective. The intervention was anal HSIL screening and treatment. Our primary outcome was the incremental cost-effectiveness ratio (ICER) as cost per quality-adjusted life-year (QALY) gained. Findings Anal cancer incidence was estimated to decline by 44-70% following implementation of annual HSIL screening and treatment. However, for the most cost-effective screening method assessed, the ICER relative to current practice, Australian Dollar (AUD) 135,800 per QALY gained, remained higher than Australia's commonly accepted willingness-to-pay threshold of AUD 50,000 per QALY gained. In probabilistic sensitivity analyses, HSIL screening and treatment had a 20% probability of being cost-effective. When the sensitivity and specificity of HSIL screening were enhanced beyond the limits of current technology, without an increase in the cost of screening, ICERs improved but were still not cost-effective. Cost-effectiveness was achieved with a screening test that had 95% sensitivity, 95% specificity, and cost ≤ AUD 24 per test. Interpretation Establishing highly sensitive and highly specific HSIL screening methods that cost less than currently available techniques remains a research priority. Funding No specific funding was received for this analysis.
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Affiliation(s)
- Qinglu Cheng
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - I. Mary Poynten
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Fengyi Jin
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Andrew Grulich
- Kirby Institute, University of New South Wales, Sydney, Australia
| | - Jason J. Ong
- Central Clinical School, Monash University, Melbourne, Australia,London School of Hygiene and Tropical Medicine, London, UK,Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
| | - Richard J. Hillman
- Kirby Institute, University of New South Wales, Sydney, Australia,Dysplasia and Anal Cancer Services, St Vincent's Hospital, Sydney, Australia
| | - George Hruby
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia,University of Sydney, Sydney, Australia,Genesis Cancer Care, Sydney, Australia
| | | | - Anthony Newall
- School of Population Health, University of New South Wales, Sydney, Australia
| | - David C. Boettiger
- Kirby Institute, University of New South Wales, Sydney, Australia,Institute for Health and Aging, University of California, San Francisco, USA,Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand,Corresponding author. Kirby Institute, University of New South Wales, Wallace Wurth Building, Sydney, NSW 2052. Australia.
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17
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Moy N, Dulleck U, Shah A, Messmann H, Thrift AP, Talley NJ, Holtmann GJ. Risk-based decision-making related to preprocedural coronavirus disease 2019 testing in the setting of GI endoscopy: management of risks, evidence, and behavioral health economics. Gastrointest Endosc 2022; 96:735-742.e3. [PMID: 35690149 PMCID: PMC9174097 DOI: 10.1016/j.gie.2022.05.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/06/2022] [Accepted: 05/28/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS Controversies exist regarding the benefits and most appropriate approach for preprocedural coronavirus disease 2019 (COVID-19) testing (eg, rapid antigen test, polymerase chain reaction, or real-time polymerase chain reaction) for outpatients undergoing diagnostic and therapeutic procedures, such as GI endoscopy, to prevent COVID-19 infections among staff. Guidelines for protecting healthcare workers (HCWs) from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from outpatient procedures varies across medical professional organizations. This study provides an evidence-based decision support tool for key decision-makers (eg, clinicians) to respond to COVID-19 transmission risks and reduce the effect of personal biases. METHODS A scoping review was used to identify relevant factors influencing COVID-19 transmission risk relevant for GI endoscopy. From 12 relevant publications, 8 factors were applicable: test sensitivity, prevalence of SARS-CoV-2 in the population, age-adjusted SARS-CoV-2 prevalence in the patient cohort, proportion of asymptomatic patients, risk of transmission from asymptomatic carriers, risk reduction by personal protective equipment (PPE), vaccination rates of HCWs, and risk reduction of SAE by vaccination. The probability of a serious adverse event (SAE), such as workplace-acquired infection resulting in HCW death, under various scenarios with preprocedural testing was determined to inform decision-makers of expected costs of reductions in SAEs. RESULTS In a setting of high community transmission, without testing and PPE, 117.5 SAEs per million procedures were estimated to occur, and this was reduced to between .079 and 2.35 SAEs per million procedures with the use of PPE and preprocedural testing. When these variables are used and a range of scenarios are tested, the probability of an SAE was low even without testing but was reduced by preprocedural testing. CONCLUSIONS Under all scenarios tested, preprocedural testing reduced the SAE risk for HCWs regardless of the SARS-CoV-2 variant. Benefits of preprocedural testing are marginal when community transmission is low (eg, below 10 infections a day per 100,000 population). The proposed decision support tool can assist in developing rational preprocedural testing policies.
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Affiliation(s)
- Naomi Moy
- School of Economics and Finance, Faculty of Business and Law, Queensland University of Technology, Brisbane, Queensland, Australia; Centre for Behavioural Economics, Society and Technology, Queensland University Australia; Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Uwe Dulleck
- School of Economics and Finance, Faculty of Business and Law, Queensland University of Technology, Brisbane, Queensland, Australia; Centre for Behavioural Economics, Society and Technology, Queensland University Australia; Crawford School of Public Policy, Australian National University, Canberra, Australian Capital Territory, Australia; CESifo, LMU Munich, Munich, Germany
| | - Ayesha Shah
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia; Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Helmut Messmann
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Aaron P Thrift
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Nicholas J Talley
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
| | - Gerald J Holtmann
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia; Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, Queensland, Australia; Australian Gastrointestinal Rearch Alliance, Newcastle, New South Wales, Australia; NHMRC Centre for Research Excellence in Digestive Health, Brisbane, Queensland, Australia
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18
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Isaranuwatchai W, Nakamura R, Wee HL, Sarajan MH, Wang Y, Soboon B, Lou J, Chai JH, Theantawee W, Laoharuangchaiyot J, Mongkolchaipak T, Thathong T, Kingkaew P, Tungsanga K, Teerawattananon Y. What are the impacts of increasing cost-effectiveness Threshold? a protocol on an empirical study based on economic evaluations conducted in Thailand. PLoS One 2022; 17:e0274944. [PMID: 36191016 PMCID: PMC9529087 DOI: 10.1371/journal.pone.0274944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 09/07/2022] [Indexed: 11/07/2022] Open
Abstract
Background Economic evaluations have been widely used to inform and guide policy-making process in healthcare resources allocation as a part of an evidence package. An intervention is considered cost-effective if an ICER is less than a cost-effectiveness threshold (CET), where a CET represents the acceptable price for a unit of additional health gain which a decision-maker is willing to pay. There has been discussion to increase a CET in many settings such as the United Kingdom and Thailand. To the best of our knowledge, Thailand is the only country that has an explicit CET and has revised their CET, not once but twice. Hence, the situation in Thailand provides a unique opportunity for evaluating the impact of changing CET on healthcare expenditure and manufacturers’ behaviours in the real-world setting. Before we decide whether a CET should be increased, information on what happened after the CET was increased in the past could be informative and helpful. Objectives This study protocol describes a proposed plan to investigate the impact of increased cost-effectiveness threshold using Thailand as a case study. Specifically, we will examine the impact of increasing CET on the drug prices submitted by pharmaceutical companies to the National List of Essential Medicine (NLEM), the decision to include or exclude medications in the NLEM, and the overall budget impact. Materials and designs Retrospective data analysis of the impact of increased CET on national drug committee decisions in Thailand (an upper middle-income country) will be conducted and included data from various sources such as literature, local organizations (e.g. Thai Food and Drug Administration), and inputs from stakeholder consultation meetings. The outcomes include: (1) drug price submitted by the manufacturers and final drug price included in the NLEM if available; (2) decisions about whether the drug was included in the NLEM for reimbursement; and (3) budget impact. The independent variables include a CET, the variable of interest, which can take values of THB100,000, THB120,000, or THB160,000, and potential confounders such as whether this drug was for a chronic disease, market size, and primary endpoint. We will conduct separate multivariable regression analysis for each outcome specified above. Discussion Understanding the impact of increasing the CET would be helpful in assisting the decision to use and develop an appropriate threshold for one’s own setting. Due to the nature of the study design, the findings will be prone to confounding effect and biases; therefore, the analyses will be adjusted for potential confounders and statistical methods will be explored to minimize biases. Knowledge gained from the study will be conveyed to the public through various disseminations such as reports, policy briefs, academic journals, and presentations.
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Affiliation(s)
- Wanrudee Isaranuwatchai
- Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- * E-mail:
| | - Ryota Nakamura
- Hitotsubashi Institute for Advanced Study and Graduate School of Economics, Hitotsubashi University, Tokyo, Japan
| | - Hwee Lin Wee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Myka Harun Sarajan
- Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
| | - Yi Wang
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Budsadee Soboon
- Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
| | - Jing Lou
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jia Hui Chai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Wannisa Theantawee
- Food and Drug Administration (FDA), Ministry of Public Health, Nonthaburi, Thailand
- Subcommittee for Development of the National List of Essential Medicines (NLEM), Bangkok, Thailand
| | - Jutatip Laoharuangchaiyot
- Food and Drug Administration (FDA), Ministry of Public Health, Nonthaburi, Thailand
- Subcommittee for Development of the National List of Essential Medicines (NLEM), Bangkok, Thailand
| | - Thanakrit Mongkolchaipak
- Food and Drug Administration (FDA), Ministry of Public Health, Nonthaburi, Thailand
- Subcommittee for Development of the National List of Essential Medicines (NLEM), Bangkok, Thailand
| | - Thanisa Thathong
- Food and Drug Administration (FDA), Ministry of Public Health, Nonthaburi, Thailand
- Subcommittee for Development of the National List of Essential Medicines (NLEM), Bangkok, Thailand
| | - Pritaporn Kingkaew
- Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
| | - Kriang Tungsanga
- Subcommittee for Development of the National List of Essential Medicines (NLEM), Bangkok, Thailand
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yot Teerawattananon
- Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
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19
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Ananthapavan J, Tran HNQ, Morley B, Hart E, Kennington K, Stevens-Cutler J, Bowe SJ, Crosland P, Moodie M. Cost-effectiveness of LiveLighter® - a mass media public education campaign for obesity prevention. PLoS One 2022; 17:e0274917. [PMID: 36129952 PMCID: PMC9491524 DOI: 10.1371/journal.pone.0274917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 09/06/2022] [Indexed: 11/19/2022] Open
Abstract
Background The Western Australian LiveLighter® program has implemented a series of mass media advertising campaigns that aim to encourage adults to achieve and maintain a healthy weight through healthy behaviours. This study aimed to assess the cost-effectiveness of the LiveLighter® campaign in preventing obesity-related ill health in the Western Australian population from the health sector perspective. Methods Campaign effectiveness (delivered over 12 months) was estimated from a meta-analysis of two cohort studies that surveyed a representative sample of the Western Australian population aged 25–49 years on discretionary food consumption one month pre- and one month post-campaign. Campaign costs were derived from campaign invoices and interviews with campaign staff. Long-term health (measured in health-adjusted life years (HALYs)) and healthcare cost-savings resulting from reduced obesity-related diseases were modelled over the lifetime of the population using a validated multi-state lifetable Markov model (ACE-Obesity Policy model). All cost and health outcomes were discounted at 7% and presented in 2017 values. Uncertainty analyses were undertaken using Monte-Carlo simulations. Results The 12-month intervention was estimated to cost approximately A$2.46 million (M) (95% uncertainty interval (UI): 2.26M; 2.67M). The meta-analysis indicated post-campaign weekly reduction in sugary drinks consumption of 0.78 serves (95% UI: 0.57; 1.0) and sweet food of 0.28 serves (95% UI: 0.07; 0.48), which was modelled to result in average weight reduction of 0.58 kilograms (95%UI: 0.31; 0.92), 204 HALYs gained (95%UI: 103; 334), and healthcare cost-savings of A$3.17M (95%UI: A$1.66M; A$5.03M). The mean incremental cost-effectiveness ratio showed that LiveLighter® was dominant (cost-saving and health promoting; 95%UI: dominant; A$7 703 per HALY gained). The intervention remained cost-effective in all sensitivity analyses conducted. Conclusion The LiveLighter® campaign is likely to represent very good value-for-money as an obesity prevention intervention in Western Australia and should be included as part of an evidence-based obesity prevention strategy.
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Affiliation(s)
- Jaithri Ananthapavan
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
- * E-mail:
| | - Huong Ngoc Quynh Tran
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Belinda Morley
- Centre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Ellen Hart
- Cancer Council Western Australia, Subiaco, Western Australia, Australia
| | - Kelly Kennington
- Cancer Council Western Australia, Subiaco, Western Australia, Australia
| | | | - Steven J. Bowe
- Deakin Biostatistics Unit, Faculty of Health, Deakin University, Geelong, Victoria, Australia
| | - Paul Crosland
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Marj Moodie
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
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20
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Tran HNQ, Killedar A, Tan EJ, Moodie M, Hayes A, Swinburn B, Nichols M, Brown V. Cost-effectiveness of scaling up a whole-of-community intervention: The Romp & Chomp early childhood obesity prevention intervention. Pediatr Obes 2022; 17:e12915. [PMID: 35301814 PMCID: PMC9540361 DOI: 10.1111/ijpo.12915] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 02/20/2022] [Accepted: 03/07/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Given the high prevalence of early childhood overweight and obesity, more evidence is required to better understand the cost-effectiveness of community-wide interventions targeting obesity prevention in children aged 0-5 years. OBJECTIVES To assess the cost-effectiveness of the Romp & Chomp community-wide early childhood obesity prevention intervention if delivered across Australia in 2018 from a funder perspective, against a no-intervention comparator. METHODS Intervention costs were estimated in 2018 Australian dollars. The annual Early Prevention of Obesity in Childhood micro-simulation model estimated body mass index (BMI) trajectories to age 15 years, based on end of trial data at age 3.5 years. Results from modelled cost-effectiveness analyses were presented as incremental cost-effectiveness ratios (ICERs): cost per BMI unit avoided, and cost per quality-adjusted life year (QALY) gained at age 15 years. RESULTS All Australian children aged 0-5 years (n = 1 906 075) would receive the intervention. Total estimated intervention cost and annual cost per participant were AUD178 million and AUD93, respectively, if implemented nationally. The ICERs were AUD1 126 per BMI unit avoided and AUD26 399 per QALY gained (64% probability of being cost-effective measured against a AUD50 000 per QALY threshold). CONCLUSIONS Romp & Chomp has a fair probability of being cost-effective if delivered at scale.
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Affiliation(s)
- Huong Ngoc Quynh Tran
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
- Global Obesity Centre (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
| | - Anagha Killedar
- Faculty of Medicine and Health, School of Public Health, The University of SydneySydneyNew South WalesAustralia
| | - Eng Joo Tan
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
- Global Obesity Centre (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
| | - Alison Hayes
- Faculty of Medicine and Health, School of Public Health, The University of SydneySydneyNew South WalesAustralia
| | - Boyd Swinburn
- Global Obesity Centre (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
- School of Population Health, University of AucklandAucklandNew Zealand
| | - Melanie Nichols
- Global Obesity Centre (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
| | - Vicki Brown
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
- Global Obesity Centre (GLOBE), Institute for Health Transformation, School of Health and Social Development, Deakin UniversityGeelongVictoriaAustralia
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21
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Whelan J, Hayward J, Nichols M, Brown AD, Orellana L, Brown V, Becker D, Bell C, Swinburn B, Peeters A, Moodie M, Geddes SA, Chadwick C, Allender S, Strugnell C. Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND): protocol and baseline outcomes for a stepped-wedge cluster-randomised prevention trial. BMJ Open 2022; 12:e057187. [PMID: 36581987 PMCID: PMC9438198 DOI: 10.1136/bmjopen-2021-057187] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Systems science methodologies have been used in attempts to address the complex and dynamic causes of childhood obesity with varied results. This paper presents a protocol for the Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND) trial. RESPOND represents a significant advance on previous approaches by identifying and operationalising a clear systems methodology and building skills and knowledge in the design and implementation of this approach among community stakeholders. METHODS AND ANALYSIS RESPOND is a 4-year cluster-randomised stepped-wedge trial in 10 local government areas in Victoria, Australia. The intervention comprises four stages: catalyse and set up, monitoring, community engagement and implementation. The trial will be evaluated for individuals, community settings and context, cost-effectiveness, and systems and implementation processes. Individual-level data including weight status, diet and activity behaviours will be collected every 2 years from school children in grades 2, 4 and 6 using an opt-out consent process. Community-level data will include knowledge and engagement, collaboration networks, economic costs and shifts in mental models aligned with systems training. Baseline prevalence data were collected between March and June 2019 among >3700 children from 91 primary schools. ETHICS AND DISSEMINATION Ethics approval: Deakin University Human Research Ethics Committee (HREC 2018-381) or Deakin University's Faculty of Health Ethics Advisory Committee (HEAG-H_2019-1; HEAG-H 37_2019; HEAG-H 173_2018; HEAG-H 12_2019); Victorian Government Department of Education and Training (2019_003943); Catholic Archdiocese of Melbourne (Catholic Education Melbourne, 2019-0872) and Diocese of Sandhurst (24 May 2019). The results of RESPOND, including primary and secondary outcomes, and emerging studies developed throughout the intervention, will be published in the academic literature, presented at national and international conferences, community newsletters, newspapers, infographics and relevant social media. TRIAL REGISTRATION NUMBER ACTRN12618001986268p.
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Affiliation(s)
- Jillian Whelan
- School of Medicine, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Joshua Hayward
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Melanie Nichols
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Andrew D Brown
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Liliana Orellana
- Biostatistics Unit, Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia
| | - Victoria Brown
- Deakin Health Economics, Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia
| | - Denise Becker
- Biostatistics Unit, Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia
| | - Colin Bell
- School of Medicine, Deakin University, Geelong, Victoria, Australia
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Boyd Swinburn
- School of Population Health, The University of Auckland, Auckland, New Zealand
| | - Anna Peeters
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Marj Moodie
- Deakin Health Economics, Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia
| | - Sandy A Geddes
- Department of Health and Human Services, State Government of Victoria, Melbourne, Victoria, Australia
| | - Craig Chadwick
- Goulburn Valley Primary Care Partnership, Shepparton, Victoria, Australia
| | - Steven Allender
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Claudia Strugnell
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
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22
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Maple JL, Ananthapavan J, Ball K, Teychenne M, Moodie M. Economic evaluation of an incentive-based program to increase physical activity and reduce sedentary behaviour in middle-aged adults. BMC Health Serv Res 2022; 22:932. [PMID: 35854379 PMCID: PMC9297637 DOI: 10.1186/s12913-022-08294-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 06/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Incentive-based programs represent a promising approach for health insurers to encourage health-promoting behaviours. However, little is known about the value for money of such programs. This study aimed to determine the cost-effectiveness of the ACHIEVE (Active CHoices IncEntiVE) program designed to incentivise increased physical activity and reduced sedentary behaviour in middle-aged adults. METHODS A within-trial cost-efficacy analysis was conducted. Benefits were assessed by evaluating paired t-tests from participants' pre- and post- trial Body Mass Index (BMI) (kg/m2), sitting time (minutes/day) and metabolic equivalents (METS) minutes. A health sector perspective was adopted for the assessment of costs. Pathway analysis was used to determine the resource use associated with the intervention, with costs expressed in Australian dollars (A$) for the 2015 reference year. A long-term cost-effectiveness analysis was undertaken which extended the analysis time horizon and the trial population to the relevant eligible Australian population. Within this analysis, the 16-week intervention was modelled for roll-out across Australia over a 1-year time horizon targeting people with private health insurance who are insufficiently active and highly sedentary. Improved health related quality of life quantified in Health-Adjusted Life Years (HALYs) (based on the health impacts of increased metabolic equivalent (MET) minutes and reduced body mass index (BMI) and cost-offsets (resulting from reductions in obesity and physical inactivity-related diseases) were tracked until the cohort reached age 100 years or death. A 3% discount rate was used and all outcomes were expressed in 2010 values. Simulation modelling techniques were used to present 95% uncertainty intervals around all outputs. RESULTS The within-trial cost-efficacy analysis indicated that the ACHIEVE intervention cost approximately A$77,432. The cost per participant recruited was A$944. The incremental cost-effectiveness ratio (ICER) for MET increase per person per week was A$0.61; minute of sedentary time reduced per participant per day was A$5.15 and BMI unit loss per participant was A$763. The long-term cost effectiveness analysis indicated that if the intervention was scaled-up to all eligible Australians, approximately 265,095 participants would be recruited to the program at an intervention cost of A$107.4 million. Health care cost savings were A$33.4 million. Total HALYs gained were 2,709. The mean ICER was estimated at A$27,297 per HALY gained which is considered cost-effective in the Australian setting. CONCLUSION The study findings suggest that financial incentives to promote physical activity and reduce sedentary behaviour are likely to be cost-effective. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry: ACTRN12616000158460 (10/02/2016).
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Affiliation(s)
- Jaimie-Lee Maple
- Institute for Health and Sport, Victoria University, Footscray, Australia.
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia.
| | - Jaithri Ananthapavan
- Deakin Health Economics, Faculty of Health, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre (GLOBE), Faculty of Health, Institute of Health Transformation, Deakin University, Geelong, Australia
| | - Kylie Ball
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - Megan Teychenne
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Science, Deakin University, Geelong, Australia
| | - Marj Moodie
- Deakin Health Economics, Faculty of Health, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre (GLOBE), Faculty of Health, Institute of Health Transformation, Deakin University, Geelong, Australia
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23
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Brown V, Tran H, Williams J, Laws R, Moodie M. Exploring the economics of public health intervention scale-up: a case study of the Supporting Healthy Image, Nutrition and Exercise (SHINE) cluster randomised controlled trial. BMC Public Health 2022; 22:1338. [PMID: 35836222 PMCID: PMC9281014 DOI: 10.1186/s12889-022-13754-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 06/27/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND The costs and benefits of an intervention within the intervention testing phase may differ from those experienced when that intervention is implemented and delivered at scale. Yet limited empirical work has been undertaken to explore how economic constructs related to implementation and scale-up might have an impact on intervention cost. The aim of this study was to explore the potential economic impacts of implementation and scale-up on a healthy weight and body image intervention tested in a Type II translational research trial. METHODS The Supporting Healthy Image, Nutrition and Exercise (SHINE) study is a cluster randomised controlled trial, aiming to deliver universal education about healthy nutrition, physical activity and wellbeing behaviours to adolescents in Australian secondary schools. Data on the cost of the intervention were collected alongside the trial using standard micro-costing techniques. Semi-structured interviews were conducted with key intervention stakeholders to explore the potential economic impacts of implementation and scale-up. Thematic content analysis was undertaken by two authors. RESULTS Fifteen intervention group schools participated in the 8-week online intervention targeting students in 2019 (99 Grade 7 classes; 2,240 students). Booster sessions were delivered during one class session in Grades 8 and 9, in 2020 and 2021 respectively. Time costs of intervention delivery and co-ordination comprised the majority (90%) of intervention cost as per the trial, along with costs associated with travel for intervention training and equipment. Themes related to the benefit of the intervention emerged from interviews with six intervention stakeholders, including the potential for economies of scale afforded by online delivery. Contextual themes that may have an impact on intervention implementation and scale included acceptability across all school sectors, availability and reliability of IT infrastructure for intervention delivery and variations in population characteristics. A number of key alterations to the intervention program emerged as important in supporting and sustaining intervention scale-up. In addition, significant implementation costs were identified if the intervention was to be successfully implemented at scale. CONCLUSIONS The findings from this study provide important information relevant to decisions on progression to a Type III implementation trial, including budget allocation, and will inform modelled economic evaluation.
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Affiliation(s)
- Vicki Brown
- Deakin University, Geelong, Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Victoria, 3220, Australia.
| | - Huong Tran
- Deakin University, Geelong, Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Victoria, 3220, Australia
| | - Joanne Williams
- School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia
| | - Rachel Laws
- Deakin University, Geelong, Institute for Physical Activity and Nutrition, Victoria, 3220, Australia
| | - Marj Moodie
- Deakin University, Geelong, Deakin Health Economics, Institute for Health Transformation, Global Obesity Centre (GLOBE), School of Health and Social Development, Victoria, 3220, Australia
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24
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Lee YY, Mihalopoulos C, Chatterton ML, Fletcher SL, Chondros P, Densley K, Murray E, Dowrick C, Coe A, Hegarty KL, Davidson SK, Wachtler C, Palmer VJ, Gunn JM. Economic evaluation of the Target-D platform to match depression management to severity prognosis in primary care: A within-trial cost-utility analysis. PLoS One 2022; 17:e0268948. [PMID: 35613149 PMCID: PMC9132336 DOI: 10.1371/journal.pone.0268948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 05/10/2022] [Indexed: 11/19/2022] Open
Abstract
Background
Target-D, a new person-centred e-health platform matching depression care to symptom severity prognosis (minimal/mild, moderate or severe) has demonstrated greater improvement in depressive symptoms than usual care plus attention control. The aim of this study was to evaluate the cost-effectiveness of Target-D compared to usual care from a health sector and partial societal perspective across 3-month and 12-month follow-up.
Methods and findings
A cost-utility analysis was conducted alongside the Target-D randomised controlled trial; which involved 1,868 participants attending 14 general practices in metropolitan Melbourne, Australia. Data on costs were collected using a resource use questionnaire administered concurrently with all other outcome measures at baseline, 3-month and 12-month follow-up. Intervention costs were assessed using financial records compiled during the trial. All costs were expressed in Australian dollars (A$) for the 2018–19 financial year. QALY outcomes were derived using the Assessment of Quality of Life-8D (AQoL-8D) questionnaire. On a per person basis, the Target-D intervention cost between $14 (minimal/mild prognostic group) and $676 (severe group). Health sector and societal costs were not significantly different between trial arms at both 3 and 12 months. Relative to a A$50,000 per QALY willingness-to-pay threshold, the probability of Target-D being cost-effective under a health sector perspective was 81% at 3 months and 96% at 12 months. From a societal perspective, the probability of cost-effectiveness was 30% at 3 months and 80% at 12 months.
Conclusions
Target-D is likely to represent good value for money for health care decision makers. Further evaluation of QALY outcomes should accompany any routine roll-out to assess comparability of results to those observed in the trial. This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12616000537459).
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Affiliation(s)
- Yong Yi Lee
- Health Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Public Health, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Brisbane, Australia
- * E-mail:
| | - Cathrine Mihalopoulos
- Health Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Mary Lou Chatterton
- Health Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Susan L. Fletcher
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
| | - Patty Chondros
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
| | - Konstancja Densley
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
| | - Elizabeth Murray
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
- Research Department of Primary Care and Population Health, University College London, London, United Kingdom
| | - Christopher Dowrick
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
- Department of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom
| | - Amy Coe
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
| | - Kelsey L. Hegarty
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
- The Royal Women’s Hospital, Melbourne, Australia
| | - Sandra K. Davidson
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
| | - Caroline Wachtler
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
- Department of General Practice and Primary Care, Karolinska Institutet, Solna, Sweden
| | - Victoria J. Palmer
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
| | - Jane M. Gunn
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Parkville, Australia
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Cost-Benefit and Cost-Utility Analyses to Demonstrate the Potential Value-for-Money of Supermarket Shelf Tags Promoting Healthier Packaged Products in Australia. Nutrients 2022; 14:nu14091919. [PMID: 35565886 PMCID: PMC9103654 DOI: 10.3390/nu14091919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 02/01/2023] Open
Abstract
The supermarket environment impacts the healthiness of food purchased and consumed. Shelf tags that alert customers to healthier packaged products can improve the healthiness of overall purchases. This study assessed the potential value-for-money of implementing a three-year shelf tag intervention across all major supermarket chains in Australia. Cost-benefit analyses (CBA) and cost-utility analyses (CUA) were conducted based on results of a 12-week non-randomised controlled trial of a shelf tag intervention in seven Australian supermarkets. The change in energy density of all packaged foods purchased during the trial was used to estimate population-level changes in mean daily energy intake. A multi-state, multiple-cohort Markov model estimated the subsequent obesity-related health and healthcare cost outcomes over the lifetime of the 2019 Australian population. The CBA and CUA took societal and healthcare sector perspectives, respectively. The intervention was estimated to produce a mean reduction in population body weight of 1.09 kg. The net present value of the intervention was approximately AUD 17 billion (B). Over 98% of the intervention costs were borne by supermarkets. CUA findings were consistent with the CBA-the intervention was dominant, producing both health benefits and cost-savings. Shelf tags are likely to offer excellent value-for-money from societal and healthcare sector perspectives.
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Polyakov A, Gyngel C, Savulescu J. Modelling futility in the setting of fertility treatment. Hum Reprod 2022; 37:877-883. [PMID: 35298646 PMCID: PMC9071221 DOI: 10.1093/humrep/deac051] [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: 01/04/2022] [Revised: 02/24/2022] [Indexed: 11/13/2022] Open
Abstract
When is a fertility treatment futile? This question has great practical importance, given the role futility plays in ethical, legal and clinical discussions. Here, we outline a novel method of determining futility for IVF treatments. Our approach is distinctive for considering the economic value attached to the intended aim of IVF treatments, i.e. the birth of a child, rather than just the effects on prospective parents and the health system in general. We draw on the commonly used metric, quality-adjusted life years (QALYs), to attach a monetary value to new lives created through IVF. We then define futility as treatments in which the chance of achieving a live birth is so low that IVF is no longer a cost-effective intervention given the economic value of new births. This model indicates that IVF treatments in which the chance of a live birth are <0.3% are futile. This suggests IVF becomes futile when women are aged between 47 and 49 years of age. This is notable older than ages currently considered as futile in an Australian context (∼45). In the UK, government subsidized treatment with the couple's own gametes stops at the age of 42, while privately funded treatments are self-regulated by individual providers. In most European countries and the USA, the 'age of futility' is likewise managed by clinical consensus.
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Affiliation(s)
- Alex Polyakov
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, VIC, Australia
- Royal Women’s Hospital, Reproductive Biology Unit, Melbourne, VIC, Australia
- Melbourne IVF, East Melbourne, VIC, Australia
| | - Christopher Gyngel
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Julian Savulescu
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
- Uehiro Chair in Applied Ethics, St Cross College, Oxford University, St Giles, Oxford, UK
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Vallejo-Torres L, García-Lorenzo B, Edney LC, Stadhouders N, Edoka I, Castilla-Rodríguez I, García-Pérez L, Linertová R, Valcárcel-Nazco C, Karnon J. Are Estimates of the Health Opportunity Cost Being Used to Draw Conclusions in Published Cost-Effectiveness Analyses? A Scoping Review in Four Countries. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2022; 20:337-349. [PMID: 34964092 PMCID: PMC9021093 DOI: 10.1007/s40258-021-00707-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/23/2021] [Indexed: 05/19/2023]
Abstract
BACKGROUND When healthcare budgets are exogenous, cost-effectiveness thresholds (CETs) used to inform funding decisions should represent the health opportunity cost (HOC) of such funding decisions, but HOC-based CET estimates have not been available until recently. In recent years, empirical HOC-based CETs for multiple countries have been published, but the use of these CETs in the cost-effectiveness analysis (CEA) literature has not been investigated. Analysis of the use of HOC-based CETs by researchers undertaking CEAs in countries with different decision-making contexts will provide valuable insights to further understand barriers and facilitators to the acceptance and use of HOC-based CETs. OBJECTIVES We aimed to identify the CET values used to interpret the results of CEAs published in the scientific literature before and after the publication of jurisdiction-specific empirical HOC-based CETs in four countries. METHODS We undertook a scoping review of CEAs published in Spain, Australia, the Netherlands and South Africa between 2016 (2014 in Spain) and 2020. CETs used before and after publication of HOC estimates were recorded. We conducted logit regressions exploring factors explaining the use of HOC values in identified studies and linear models exploring the association of the reported CET value with study characteristics and results. RESULTS 1171 studies were included in this review (870 CEAs and 301 study protocols). HOC values were cited in 28% of CEAs in Spain and in 11% of studies conducted in Australia, but they were not referred to in CEAs undertaken in the Netherlands and South Africa. Regression analyses on Spanish and Australian studies indicate that more recent studies, studies without a conflict of interest and studies estimating an incremental cost-effectiveness ratio (ICER) below the HOC value were more likely to use the HOC as a threshold reference. In addition, we found a small but significant impact indicating that for every dollar increase in the estimated ICER, the reported CET increased by US$0.015. Based on the findings of our review, we discuss the potential factors that might explain the lack of adoption of HOC-based CETs in the empirical CEA literature. CONCLUSIONS The adoption of HOC-based CETs by identified published CEAs has been uneven across the four analysed countries, most likely due to underlying differences in their decision-making processes. Our results also reinforce a previous finding indicating that CETs might be endogenously selected to fit authors' conclusions.
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Affiliation(s)
- Laura Vallejo-Torres
- Departamento de Métodos Cuantitativos en Economía y Gestión, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
| | - Borja García-Lorenzo
- Kronikgune Institute for Health Services Research, Barakaldo, Basque Country, Spain
- Assessment of Innovations and New Technologies Unit, Hospital Clínic Barcelona, University of Barcelona, Barcelona, Catalonia, Spain
| | - Laura Catherine Edney
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Niek Stadhouders
- IQ Healthcare, Radboud University and Medical Center, Nijmegen, The Netherlands
| | - Ijeoma Edoka
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Iván Castilla-Rodríguez
- Departamento de Ingeniería Informática y de Sistemas, Universidad de La Laguna, La Laguna, Spain
| | - Lidia García-Pérez
- Canary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, Spain
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Madrid, Spain
- Red Española de Agencias de Evaluación de Tecnologías Sanitarias y Prestaciones del Sistema Nacional de Salud (RedETS), Madrid, Spain
| | - Renata Linertová
- Canary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, Spain
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Madrid, Spain
- Red Española de Agencias de Evaluación de Tecnologías Sanitarias y Prestaciones del Sistema Nacional de Salud (RedETS), Madrid, Spain
| | - Cristina Valcárcel-Nazco
- Canary Islands Health Research Institute Foundation (FIISC), Santa Cruz de Tenerife, Spain
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), Santa Cruz de Tenerife, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Madrid, Spain
- Red Española de Agencias de Evaluación de Tecnologías Sanitarias y Prestaciones del Sistema Nacional de Salud (RedETS), Madrid, Spain
| | - Jonathan Karnon
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
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Nguyen P, Le LKD, Ananthapavan J, Gao L, Dunstan DW, Moodie M. Economics of sedentary behaviour: A systematic review of cost of illness, cost-effectiveness, and return on investment studies. Prev Med 2022; 156:106964. [PMID: 35085596 DOI: 10.1016/j.ypmed.2022.106964] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/20/2021] [Accepted: 01/15/2022] [Indexed: 10/19/2022]
Abstract
AIMS METHODS: RESULTS: We identified nine articles (conducted in Australia (n = 5), Europe (n = 3) and China (n = 1)); three reported healthcare costs associated with excessive sedentary time, whilst six were economic evaluations of interventions targeting sedentary behaviour. Healthcare costs associated with excessive sedentary time as reported in cost of illness studies were substantial; however, none explored non-health sector costs. In contrast, all full economics evaluations adopted a societal perspective; however, costs included differed depending on the intervention context. One sedentary behaviour intervention in children was cost-saving. The five interventions targeting occupational sitting time of adults in office workplaces were cost-effective. Physical environmental changes such as sit-stand desks, active workstations etc., were the key cost driver. CONCLUSIONS Sedentary behaviour is likely associated with excess healthcare costs, although future research should also explore costs across other sectors. Cost-effectiveness evidence of sedentary behaviour reduction interventions in workplaces is limited but consistent. Key gaps relate to the economic credentials of interventions targeting children, and modelling of long-term health benefits of interventions.
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Affiliation(s)
- Phuong Nguyen
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia; Global Obesity Centre, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia.
| | - Long Khanh-Dao Le
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Jaithri Ananthapavan
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia; Global Obesity Centre, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Lan Gao
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia; School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia
| | - David W Dunstan
- Baker Heart and Diabetes Institute, Melbourne, Australia; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia; Global Obesity Centre, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
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Graves N, Kiernan M, Mitchell BG. A cost-effectiveness model for a decision to adopt temporary single-patient rooms to reduce risks of healthcare-associated infection in the Australian public healthcare system. Infect Dis Health 2022; 27:129-135. [DOI: 10.1016/j.idh.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/23/2021] [Accepted: 01/20/2022] [Indexed: 11/27/2022]
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Dale KD, Abayawardana MJ, McBryde ES, Trauer JM, Carvalho N. Modeling the Cost-Effectiveness of Latent Tuberculosis Screening and Treatment Strategies in Recent Migrants to a Low-Incidence Setting. Am J Epidemiol 2022; 191:255-270. [PMID: 34017976 DOI: 10.1093/aje/kwab150] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 05/02/2021] [Accepted: 05/13/2021] [Indexed: 11/12/2022] Open
Abstract
Many tuberculosis (TB) cases in low-incidence settings are attributed to reactivation of latent TB infection (LTBI) acquired overseas. We assessed the cost-effectiveness of community-based LTBI screening and treatment strategies in recent migrants to a low-incidence setting (Australia). A decision-analytical Markov model was developed that cycled 1 migrant cohort (≥11-year-olds) annually over a lifetime from 2020. Postmigration/onshore and offshore (screening during visa application) strategies were compared with existing policy (chest x-ray during visa application). Outcomes included TB cases averted and discounted cost per quality-adjusted life-year (QALY) gained from a health-sector perspective. Most recent migrants are young adults and cost-effectiveness is limited by their relatively low LTBI prevalence, low TB mortality risks, and high emigration probability. Onshore strategies cost at least $203,188 (Australian) per QALY gained, preventing approximately 2.3%-7.0% of TB cases in the cohort. Offshore strategies (screening costs incurred by migrants) cost at least $13,907 per QALY gained, preventing 5.5%-16.9% of cases. Findings were most sensitive to the LTBI treatment quality-of-life decrement (further to severe adverse events); with a minimal decrement, all strategies caused more ill health than they prevented. Additional LTBI strategies in recent migrants could only marginally contribute to TB elimination and are unlikely to be cost-effective unless screening costs are borne by migrants and potential LTBI treatment quality-of-life decrements are ignored.
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Ananthapavan J, Moodie M, Milat A, Veerman L, Whittaker E, Carter R. A cost-benefit analysis framework for preventive health interventions to aid decision-making in Australian governments. Health Res Policy Syst 2021; 19:147. [PMID: 34923970 PMCID: PMC8684630 DOI: 10.1186/s12961-021-00796-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 11/24/2021] [Indexed: 12/30/2022] Open
Abstract
Background Australian governments are increasingly mandating the use of cost–benefit analysis (CBA) to inform the efficient allocation of government resources. CBA is likely to be useful when evaluating preventive health interventions that are often cross-sectoral in nature and require Cabinet approval prior to implementation. This study outlines a CBA framework for the evaluation of preventive health interventions that balances the need for consistency with other agency guidelines whilst adhering to guidelines and conventions for health economic evaluations. Methods We analysed CBA and other evaluation guidance documents published by Australian federal and New South Wales (NSW) government departments. Data extraction compared the recommendations made by different agencies and the impact on the analysis of preventive health interventions. The framework specifies a reference case and sensitivity analyses based on the following considerations: (1) applied economic evaluation theory; (2) consistency between CBA across different government departments; (3) the ease of moving from a CBA to a more conventional cost-effectiveness/cost-utility analysis framework often used for health interventions; (4) the practicalities of application; and (5) the needs of end users being both Cabinet decision-makers and health policy-makers. Results Nine documents provided CBA or relevant economic evaluation guidance. There were differences in terminology and areas of agreement and disagreement between the guidelines. Disagreement between guidelines involved (1) the community included in the societal perspective; (2) the number of options that should be appraised in ex ante analyses; (3) the appropriate time horizon for interventions with longer economic lives; (4) the theoretical basis and value of the discount rate; (5) parameter values for variables such as the value of a statistical life; and (6) the summary measure for decision-making. Conclusions This paper addresses some of the methodological challenges that have hindered the use of CBA in prevention by outlining a framework that is consistent with treasury department guidelines whilst considering the unique features of prevention policies. The effective use and implementation of a preventive health CBA framework is likely to require considerable investment of time and resources from state and federal government departments of health and treasury but has the potential to improve decision-making related to preventive health policies and programmes. Supplementary Information The online version contains supplementary material available at 10.1186/s12961-021-00796-w.
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Affiliation(s)
- Jaithri Ananthapavan
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia. .,Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia.
| | - Marj Moodie
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia.,Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Andrew Milat
- NSW Ministry of Health, New South Wales, Australia.,School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Lennert Veerman
- School of Medicine, Griffith University, Gold Coast, Australia
| | | | - Rob Carter
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
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Bohingamu Mudiyanselage S, Price AMH, Mensah FK, Bryson HE, Perlen S, Orsini F, Hiscock H, Dakin P, Harris D, Noble K, Bruce T, Kemp L, Goldfeld S, Gold L. Economic evaluation of an Australian nurse home visiting programme: a randomised trial at 3 years. BMJ Open 2021; 11:e052156. [PMID: 34873002 PMCID: PMC8650480 DOI: 10.1136/bmjopen-2021-052156] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES To investigate the additional programme cost and cost-effectiveness of 'right@home' Nurse Home Visiting (NHV) programme in relation to improving maternal and child outcomes at child age 3 years compared with usual care. DESIGN A cost-utility analysis from a government-as-payer perspective alongside a randomised trial of NHV over 3-year period. Costs and quality-adjusted life-years (QALYs) were discounted at 5%. Analysis used an intention-to-treat approach with multiple imputation. SETTING The right@home was implemented from 2013 in Victoria and Tasmania states of Australia, as a primary care service for pregnant women, delivered until child age 2 years. PARTICIPANTS 722 pregnant Australian women experiencing adversity received NHV (n=363) or usual care (clinic visits) (n=359). PRIMARY AND SECONDARY OUTCOME MEASURES First, a cost-consequences analysis to compare the additional costs of NHV over usual care, accounting for any reduced costs of service use, and impacts on all maternal and child outcomes assessed at 3 years. Second, cost-utility analysis from a government-as-payer perspective compared additional costs to maternal QALYs to express cost-effectiveness in terms of additional cost per additional QALY gained. RESULTS When compared with usual care at child age 3 years, the right@home intervention cost $A7685 extra per woman (95% CI $A7006 to $A8364) and generated 0.01 more QALYs (95% CI -0.01 to 0.02). The probability of right@home being cost-effective by child age 3 years is less than 20%, at a willingness-to-pay threshold of $A50 000 per QALY. CONCLUSIONS Benefits of NHV to parenting at 2 years and maternal health and well-being at 3 years translate into marginal maternal QALY gains. Like previous cost-effectiveness results for NHV programmes, right@home is not cost-effective at 3 years. Given the relatively high up-front costs of NHV, long-term follow-up is needed to assess the accrual of health and economic benefits over time. TRIAL REGISTRATION NUMBER ISRCTN89962120.
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Affiliation(s)
| | - Anna M H Price
- Population Health, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Fiona K Mensah
- Population Health, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Hannah E Bryson
- Population Health, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, 3052, Australia
| | - Susan Perlen
- Population Health, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, 3052, Australia
| | - Francesca Orsini
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, VIC, 3052, Australia
- Melbourne Children's Trials Centre, Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, 3052, Australia
| | - Harriet Hiscock
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, 3052, Australia
| | - Penelope Dakin
- Australian Research Alliance for Children and Youth, Canberra City, ACT, 2601, Australia
| | - Diana Harris
- Australian Research Alliance for Children and Youth, Canberra City, ACT, 2601, Australia
| | - Kristy Noble
- Australian Research Alliance for Children and Youth, Canberra City, ACT, 2601, Australia
| | - Tracey Bruce
- Ingham Institute, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Lynn Kemp
- Ingham Institute, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Sharon Goldfeld
- Population Health, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Lisa Gold
- School of Health and Social Development, Deakin University, Burwood, VIC, 3125, Australia
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Sun HY, Keller E, Suresh H, Sebaratnam DF. Biologics for severe, chronic plaque psoriasis: An Australian cost-utility analysis. JAAD Int 2021; 5:1-8. [PMID: 34816130 PMCID: PMC8593743 DOI: 10.1016/j.jdin.2021.06.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/25/2021] [Indexed: 11/27/2022] Open
Abstract
Background Biologics are a good therapeutic option for severe, chronic plaque psoriasis; however, they come with significant cost to the health care system. Objective To conduct a cost-utility analysis of outpatient biologics (adalimumab, etanercept, guselkumab, ixekizumab, risankizumab, secukinumab, tildrakizumab, and ustekinumab) available to adults with severe, chronic plaque psoriasis from the perspective of the Australian health care system. Methods A Markov cohort model was constructed to estimate the quality-adjusted life years (QALYs) and costs accrued for treatment pathways commencing with different first-line biologics, over a 96-week time horizon. The model adhered to the Australian Pharmaceutical Benefits Scheme eligibility criteria and guidelines. Results A biologic treatment pathway commencing on tildrakizumab was the most cost-effective first-line treatment (Australian dollar 39,930; total utility of 1.57 QALYs over 96 weeks). First-line secukinumab and risankizumab had incremental cost-utility ratios of Australian dollar 194,524/QALY and Australian dollar 479,834/QALY, respectively, when compared with first-line tildrakizumab. Limitations The efficacy and utility input parameters were derived from international randomized control trials and patients from the United Kingdom, respectively. Findings from this study cannot be generalized beyond Australia. Conclusion Tildrakizumab may be considered as first-line treatment for adult patients with severe, chronic plaque psoriasis embarking on biologic therapy, from the economic perspective of the Australian health care system.
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Key Words
- AUD, Australian dollar
- Australia
- BSC, best supportive care
- CI, confidence interval
- ICUR, incremental cost-utility ratio
- IL, interleukin
- PASI, Psoriasis Area and Severity Index
- PASI75, 75% improvement from the initial Psoriasis Area and Severity Index Score
- PBS, Pharmaceutical Benefits Scheme
- QALY, quality-adjusted life years
- RCT, randomized-controlled trial
- TNF-α, tumor necrosis alpha
- WTP, willingness-to-pay
- adalimumab
- biologic therapy
- cost-benefit analysis
- cost-effectiveness analysis
- cost-utility analysis
- cyclosporine
- dermatologists
- etanercept
- guselkumab
- health economics
- infliximab
- ixekizumab
- psoriasis
- quality of life
- risankizumab
- tildrakizumab
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Affiliation(s)
- Helen Y Sun
- Faculty of Medicine and Health, The University of New South Wales, Kensington, New South Wales, Australia.,Department of Dermatology, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Elena Keller
- Centre for Big Data Research in Health, The University of New South Wales, Kensington, New South Wales, Australia
| | - Harish Suresh
- Faculty of Business, The University of New South Wales, Kensington, New South Wales, Australia
| | - Deshan F Sebaratnam
- Faculty of Medicine and Health, The University of New South Wales, Kensington, New South Wales, Australia.,Department of Dermatology, Liverpool Hospital, Liverpool, New South Wales, Australia
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Keller E, Newman JE, Ortmann A, Jorm LR, Chambers GM. How Much Is a Human Life Worth? A Systematic Review. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2021; 24:1531-1541. [PMID: 34593177 DOI: 10.1016/j.jval.2021.04.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 03/21/2021] [Accepted: 04/01/2021] [Indexed: 05/21/2023]
Abstract
OBJECTIVES To systematically review studies eliciting monetary value of a statistical life (VSL) estimates within, and across, different sectors and other contexts; compare the reported estimates; and critically review the elicitation methods used. METHODS In June 2019, we searched the following databases to identify methodological and empirical studies: Cochrane Library, Compendex, Embase, Environment Complete, Informit, ProQuest, PubMed, Scopus, and Web of Science. We used the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines for reporting and a modified Consolidated Health Economic Evaluation Reporting Standards checklist to assess the quality of included studies. RESULTS We identified 1455 studies, of which we included 120 in the systematic review. A stated-preference approach was used in 76 articles, with 51%, 41%, and 8% being contingent valuation studies, discrete-choice experiments, or both, respectively. A revealed-preference approach was used in 43 articles, of which 74% were based on compensating-wage differentials. The human capital approach was used in only 1 article. We assessed most publications (87%) as being of high quality. Estimates for VSL varied substantially by context (sector, developed/developing country, socio-economic status, etc), with the median of midpoint purchasing power parity-adjusted estimates of 2019 US$5.7 million ($6.8 million, $8.7 million, and $5.3 million for health, labor market, and transportation safety sectors, respectively). CONCLUSIONS The large variation observed in published VSLs depends mainly on the context rather than the method used. We found higher median values for labor markets and developed countries. It is important that health economists and policymakers use context-specific VSL estimates. Methodological innovation and standardization are needed to maximize comparability of VSL estimates within, and across, sectors and methods.
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Affiliation(s)
- Elena Keller
- Centre for Big Data Research in Health, Sydney, New South Wales, Australia; National Perinatal Epidemiology and Statistics Unit, Sydney, New South Wales, Australia.
| | - Jade E Newman
- Centre for Big Data Research in Health, Sydney, New South Wales, Australia; National Perinatal Epidemiology and Statistics Unit, Sydney, New South Wales, Australia
| | - Andreas Ortmann
- University of New South Wales Business School, Sydney, New South Wales, Australia
| | - Louisa R Jorm
- Centre for Big Data Research in Health, Sydney, New South Wales, Australia; Health Services and Outcomes Unit, University of New South Wales Sydney, Sydney, New South Wales, Australia
| | - Georgina M Chambers
- Centre for Big Data Research in Health, Sydney, New South Wales, Australia; National Perinatal Epidemiology and Statistics Unit, Sydney, New South Wales, Australia
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Brown V, Tran H, Downing KL, Hesketh KD, Moodie M. A systematic review of economic evaluations of web-based or telephone-delivered interventions for preventing overweight and obesity and/or improving obesity-related behaviors. Obes Rev 2021; 22:e13227. [PMID: 33763956 DOI: 10.1111/obr.13227] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/01/2021] [Accepted: 02/06/2021] [Indexed: 12/16/2022]
Abstract
Obesity prevention interventions with behavioral or lifestyle-related components delivered via web-based or telephone technologies have been reported as comparatively low cost as compared with other intervention delivery modes, yet to date, no synthesized evidence of cost-effectiveness has been published. This study aimed to conduct a systematic review of economic evaluations of obesity prevention interventions with a telehealth or eHealth intervention component. A systematic search of six academic databases was conducted through October 2020. Studies were included if they reported full economic evaluations of interventions aimed at preventing overweight or obesity, or interventions aimed at improving obesity-related behaviors, with at least one intervention component delivered by telephone (telehealth) or web-based technology (eHealth). Findings were reported narratively, based on the Consolidated Health Economic Evaluation Reporting Standards. Twenty-seven economic evaluations were included from 20 studies meeting the inclusion criteria. Sixteen of the included interventions had a telehealth component, whereas 11 had an eHealth component. Seventeen interventions were evaluated using cost-utility analysis, five with cost-effectiveness analysis, and five undertook both cost-effectiveness and cost-utility analyses. Only eight cost-utility analyses reported that the intervention was cost-effective. Comparison of results from cost-effectiveness analyses was limited by heterogeneity in methods and outcome units reported. The evidence supporting the cost-effectiveness of interventions with a telehealth or eHealth delivery component is currently inconclusive. Although obesity prevention telehealth and eHealth interventions are gaining popularity, more evidence is required on their effectiveness and cost-effectiveness.
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Affiliation(s)
- Vicki Brown
- Deakin Health Economics, Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia.,Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, New South Wales, Australia
| | - Huong Tran
- Deakin Health Economics, Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia.,Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, New South Wales, Australia
| | - Katherine L Downing
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, New South Wales, Australia.,Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Kylie D Hesketh
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, New South Wales, Australia.,Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Marj Moodie
- Deakin Health Economics, Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia.,Centre for Research Excellence in the Early Prevention of Obesity in Childhood, University of Sydney, New South Wales, Australia
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Systematic Review to Update 'Value of a Statistical Life' Estimates for Australia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18116168. [PMID: 34200344 PMCID: PMC8201370 DOI: 10.3390/ijerph18116168] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 11/17/2022]
Abstract
The value of a statistical life (VSL) estimates individuals’ willingness to trade wealth for mortality risk reduction. This economic parameter is often a major component of the quantified benefits estimated in the evaluation of government policies related to health and safety. This study reviewed the literature to update the VSL recommended for Australian policy appraisals. A systematic literature review was conducted to capture Australian primary studies and international review papers reporting VSL estimates published from 2007 to January 2019. International estimates were adjusted for income differences and the median VSL estimate was extracted from each review study. VSL estimates were used to calculate the value of a statistical life year. Of the 18 studies that met the inclusion criteria, two studies were primary Australian studies with a weighted mean VSL of A$7.0 million in 2017 values. The median VSL in the review studies was A$7.3 million. For Australian public policy appraisals, we recommend the consideration of a base case VSL for people of all ages and across all risk contexts of A$7.0 million. Sensitivity analyses could use a high value of A$7.3 million and a low value that reflects the value (A$4.3 million) currently recommended by the Australian government.
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Moradpour J, Hollis A. The economic theory of cost-effectiveness thresholds in health: Domestic and international implications. HEALTH ECONOMICS 2021; 30:1139-1151. [PMID: 33694244 DOI: 10.1002/hec.4247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 10/14/2020] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
Abstract
Public health insurers often use an implicit or explicit cost-effectiveness threshold to determine which health products and services should be insured. We challenge the convention of a single threshold. For competitively provided products and services, prices are determined by cost; but for products with market power, patentees will increase the price according to the perceived threshold. As a result, a change in the threshold affects the prices of all patented products, including those which would have been developed even at a lower threshold. The insurer can increase efficiency by reducing the threshold for patented products, even accounting for the effect on innovation. We also model a multi-country setting, in which thresholds for patented products will fall below the globally cooperative solution because each country does not recognize the positive externality of its own spending on innovative medicines. We show that this tragedy of the commons problem can be partly corrected through referencing other countries' thresholds, but only when the countries have similar willingness to pay.
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Affiliation(s)
- Javad Moradpour
- Department of Economics, University of Calgary, Calgary, Canada
| | - Aidan Hollis
- Department of Economics, University of Calgary, Calgary, Canada
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Morrow A, Parkinson B, Kang YJ, Hogden E, Canfell K, Taylor N. The health and economic impact of implementation strategies for improving detection of hereditary cancer patients—protocol for an in-depth cost-effectiveness evaluation with microsimulation modelling. Implement Sci Commun 2020. [DOI: 10.1186/s43058-020-00058-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Patients with Lynch syndrome (an inherited cancer predisposition syndrome) remain largely underdiagnosed despite clinically and cost-effective testing strategies to detect patients. This is largely due to poor referral rates for high-risk patients for consideration of genetic testing. Targeted approaches to improve the implementation of guidelines and thus uptake rates of genetic testing require the use of limited and valuable healthcare resources. Decision makers must carefully balance the potential health impacts of implementation approaches against the associated costs, similar to when assessing the direct impact of health interventions. This protocol outlines the methods used to conduct an economic evaluation of different implementation approaches aimed at improving referral rates of high-risk patients, including estimating implementation approach costs.
Methods
A cluster randomised controlled trial (the Hide and Seek Project, HaSP) is underway to compare two different implementation approaches aimed at improving referral rates, and thus detection, of Lynch syndrome among colorectal cancer patients across eight Australian hospital networks. An in-depth process evaluation is being conducted alongside the trial and includes measures to collect comprehensive data on both implementation and intervention costs. These costs, in addition to HaSP outcome data, will be incorporated as inputs into an existing microsimulation model—Policy1-Lynch—to project the downstream economic and health impacts and determine the more cost-effective implementation approach from the Australian healthcare perspective.
Discussion
The ability to model the impact of different implementation approaches will enable the most efficient way of improving Lynch syndrome detection. The approach used in this study could also be applied to assess other implementation approaches aimed at increasing the uptake of cost-effective health interventions.
Trial registration
ANZCTR, ACTRN12618001072202. Registered on 27 June 2018.
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Chim L, Salkeld G, Kelly PJ, Lipworth W, Hughes DA, Stockler MR. Community views on factors affecting medicines resource allocation: cross-sectional survey of 3080 adults in Australia. AUST HEALTH REV 2020; 43:254-260. [PMID: 29669674 DOI: 10.1071/ah16209] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 11/23/2017] [Indexed: 11/23/2022]
Abstract
Objective The aim of the present study was to determine Australian community views on factors that influence the distribution of health spending in relation to medicines. Methods A cross-sectional web-based survey was performed of 3080 adults aged ≥18 years. Participants were asked to rank, in order of importance, 12 criteria according to which medicines funding decisions may be made. Results Of all respondents, 1213 (39.4%) considered disease severity to be the most important prioritisation criterion for funding a new medicine. This was followed by medicines treating a disease affecting children (13.2%) and medicines for cancer patients (9.1%). Medicines targeting a disease for which there is no alternative treatment available received highest priority from 8.6% of respondents. The remaining eight prioritisation criteria were each assigned a top ranking from 6.6% to 1.7% of respondents. Medicines targeting a disease for which there is no alternative treatment available were ranked least important by 7.7% of respondents, compared with 2.4%, 1.9% and 1.0% for medicines treating severe diseases, diseases affecting children and cancer respectively. 'End-of-life treatments' and 'rare disease therapies' received the least number of highest priority rankings (2.0% and 1.7% respectively). Conclusions These results provide useful information about public preferences for government spending on prescribed medicines. Understanding of public preferences on the funding of new medicines will help the Pharmaceutical Benefits Advisory Committee and government determine circumstances where greater emphasis on equity is required and help inform medicines funding policy that best meets the needs of the Australian population. What is known about this topic? There is increased recognition of the importance of taking into account public preferences in the heath technology assessment (HTA) decision-making process. What does this paper add? The Australian public view the severity of disease to be the most important funding prioritisation criterion for medicines, followed by medicines used to treat children or to treat cancer. What are the implications for practitioners? The general public are capable of giving opinions on distributional preferences. This information can help inform medicines funding policy and ensure that it is consistent with the values of the Australian population.
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Affiliation(s)
- Lesley Chim
- Sydney School of Public Health, University of Sydney, Edward Ford Building (A27), Sydney, NSW 2006, Australia. Email
| | - Glenn Salkeld
- Faculty of Social Sciences, University of Wollongong, NSW, 2522, Australia. Email
| | - Patrick J Kelly
- Sydney School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia. Email
| | - Wendy Lipworth
- Sydney Medical School, Sydney Health Ethics, University of Sydney, Sydney, NSW, 2006, Australia. Email
| | - Dyfrig A Hughes
- Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, Wales, LL57 2PZ, UK. Email
| | - Martin R Stockler
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
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Brown V, Williams J, McGivern L, Sawyer S, Orellana L, Luo W, Hesketh KD, Wilfley DE, Moodie M. Protocol for economic evaluation alongside the SHINE (Supporting Healthy Image, Nutrition and Exercise) cluster randomised controlled trial. BMJ Open 2020; 10:e038050. [PMID: 32747351 PMCID: PMC7402000 DOI: 10.1136/bmjopen-2020-038050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/10/2020] [Accepted: 05/29/2020] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Limited evidence exists on the cost-effectiveness of interventions to prevent obesity and promote healthy body image in adolescents. The SHINE (Supporting Healthy Image, Nutrition and Exercise) study is a cluster randomised control trial (cRCT) aiming to deliver universal education about healthy nutrition and physical activity to adolescents, as well as targeted advice to young people with body image concerns who are at risk of developing disordered eating behaviours. This paper describes the methods for the economic evaluation of the SHINE cRCT, to determine whether the intervention is cost-effective as an obesity prevention measure. METHODS AND ANALYSIS A public payer perspective will be adopted, with intervention costs collected prospectively. Within-trial cost-effectiveness analysis (CEA) and cost-utility analysis (CUA) will quantify the incremental costs and health gains of the intervention as compared with usual practice (ie, teacher-delivered curriculum). CEA will present results as cost per body mass index unit saved. CUA will present results as cost per quality-adjusted life year gained. A modelled CUA will extend the target population, time horizon and decision context to provide valuable information to policymakers on the potential for incremental cost offsets attributable to disease prevention arising from intervention. Intervention costs and effects will be extrapolated to the population of Australian adolescents in Grade 7 of secondary school (approximate age 13 years) and modelled over the cohort's lifetime. Modelled CUA results will be presented as health-adjusted life years saved and healthcare cost-savings of diseases averted. Incremental cost-effectiveness ratios will be calculated as the difference in costs between the intervention and comparator divided by the difference in benefit. Semi-structured interviews with key intervention stakeholders will explore the potential impact of scalability on cost-effectiveness. These data will be thematically analysed to inform sensitivity analysis of the base case economic evaluation, such that cost-effectiveness evidence is reflective of the potential for scalability. ETHICS AND DISSEMINATION Ethics approval was obtained from the Deakin University Human Research Ethics Committee (#2017-269) and the Victorian Department of Education and Training (#2018_003630). Study findings will be disseminated through peer-reviewed academic papers and participating schools will receive annual reports over the 3 years of data collection. TRIAL REGISTRATION NUMBER ACTRN 12618000330246; Pre-results.
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Affiliation(s)
- Victoria Brown
- Deakin University, Geelong, Deakin Health Economics, Institute for Health Transformation, Geelong, Victoria, Australia
| | - Joanne Williams
- Deakin University, Geelong, Institute for Health Transformation, School of Health and Social Development, Geelong, Victoria, Australia
| | - Lisa McGivern
- Deakin University, Geelong, Institute for Health Transformation, School of Health and Social Development, Geelong, Victoria, Australia
| | - Susan Sawyer
- Department of Paediatrics, The University of Melbourne; Centre for Adolescent Health Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Liliana Orellana
- Deakin University, Geelong, Faculty of Health, Geelong, Victoria, Australia
| | - Wei Luo
- Deakin University, Geelong, School of Information Technology, Geelong, Victoria, Australia
| | - Kylie D Hesketh
- Deakin University, Geelong, Institute for Physical Activity and Nutrition, Faculty of Health, Geelong, Victoria, Australia
| | - Denise E Wilfley
- School of Medicine, Washington University in St. Louis, Missouri, Missouri, USA
| | - Marj Moodie
- Deakin University, Geelong, Deakin Health Economics, Institute for Health Transformation, Geelong, Victoria, Australia
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Michalowsky B, Hoffmann W, Kennedy K, Xie F. Is the whole larger than the sum of its parts? Impact of missing data imputation in economic evaluation conducted alongside randomized controlled trials. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2020; 21:717-728. [PMID: 32108274 PMCID: PMC7366573 DOI: 10.1007/s10198-020-01166-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 02/06/2020] [Indexed: 06/09/2023]
Abstract
Outcomes in economic evaluations, such as health utilities and costs, are products of multiple variables, often requiring complete item responses to questionnaires. Therefore, missing data are very common in cost-effectiveness analyses. Multiple imputations (MI) are predominately recommended and could be made either for individual items or at the aggregate level. We, therefore, aimed to assess the precision of both MI approaches (the item imputation vs. aggregate imputation) on the cost-effectiveness results. The original data set came from a cluster-randomized, controlled trial and was used to describe the missing data pattern and compare the differences in the cost-effectiveness results between the two imputation approaches. A simulation study with different missing data scenarios generated based on a complete data set was used to assess the precision of both imputation approaches. For health utility and cost, patients more often had a partial (9% vs. 23%, respectively) rather than complete missing (4% vs. 0%). The imputation approaches differed in the cost-effectiveness results (the item imputation: - 61,079€/QALY vs. the aggregate imputation: 15,399€/QALY). Within the simulation study mean relative bias (< 5% vs. < 10%) and range of bias (< 38% vs. < 83%) to the true incremental cost and incremental QALYs were lower for the item imputation compared to the aggregate imputation. Even when 40% of data were missing, relative bias to true cost-effectiveness curves was less than 16% using the item imputation, but up to 39% for the aggregate imputation. Thus, the imputation strategies could have a significant impact on the cost-effectiveness conclusions when more than 20% of data are missing. The item imputation approach has better precision than the imputation at the aggregate level.
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Affiliation(s)
- Bernhard Michalowsky
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, 17487 Greifswald, Germany
- Department of Health Research Methods, Evidence and Impact (Formerly Clinical Epidemiology and Biostatistics), McMaster University, 1280 Main Street West, Hamilton, Canada
- Program for Health Economics and Outcome Measures (PHENOM), Hamilton, Canada
| | - Wolfgang Hoffmann
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Ellernholzstrasse 1-2, 17487 Greifswald, Germany
- Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald (UMG), Ellernholzstrasse 1-2, 17487 Greifswald, Germany
| | - Kevin Kennedy
- Department of Health Research Methods, Evidence and Impact (Formerly Clinical Epidemiology and Biostatistics), McMaster University, 1280 Main Street West, Hamilton, Canada
- Program for Health Economics and Outcome Measures (PHENOM), Hamilton, Canada
| | - Feng Xie
- Department of Health Research Methods, Evidence and Impact (Formerly Clinical Epidemiology and Biostatistics), McMaster University, 1280 Main Street West, Hamilton, Canada
- Program for Health Economics and Outcome Measures (PHENOM), Hamilton, Canada
- Centre for Health Economics and Policy Analysis, McMaster University, 1280 Main Street West, Hamilton, Canada
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Ananthapavan J, Sacks G, Brown V, Moodie M, Nguyen P, Veerman L, Mantilla Herrera AM, Lal A, Peeters A, Carter R. Priority-setting for obesity prevention-The Assessing Cost-Effectiveness of obesity prevention policies in Australia (ACE-Obesity Policy) study. PLoS One 2020; 15:e0234804. [PMID: 32559212 PMCID: PMC7304600 DOI: 10.1371/journal.pone.0234804] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 06/02/2020] [Indexed: 12/27/2022] Open
Abstract
The aim of the ACE-Obesity Policy study was to assess the economic credentials of a suite of obesity prevention policies across multiple sectors and areas of governance for the Australian setting. The study aimed to place the cost-effectiveness results within a broad decision-making context by providing an assessment of the key considerations for policy implementation. The Assessing Cost-Effectiveness (ACE) approach to priority-setting was used. Systematic literature reviews were undertaken to assess the evidence of intervention effectiveness on body mass index and/or physical activity for selected interventions. A standardised evaluation framework was used to assess the cost-effectiveness of each intervention compared to a 'no intervention' comparator, from a limited societal perspective. A multi-state life table Markov cohort model was used to estimate the long-term health impacts (quantified as health adjusted life years (HALYs)) and health care cost-savings resulting from each intervention. In addition to the technical cost-effectiveness results, qualitative assessments of implementation considerations were undertaken. All 16 interventions evaluated were found to be cost-effective (using a willingness-to-pay threshold of AUD50,000 per HALY gained). Eleven interventions were dominant (health promoting and cost-saving). The incremental cost-effectiveness ratio for the non-dominant interventions ranged from AUD1,728 to 28,703 per HALY gained. Regulatory interventions tended to rank higher on their cost-effectiveness results, driven by lower implementation costs. However, the program-based policy interventions were generally based on higher quality evidence of intervention effectiveness. This comparative analysis of the economic credentials of obesity prevention policies for Australia indicates that there are a broad range of policies that are likely to be cost-effective, although policy options vary in strength of evidence for effectiveness, affordability, feasibility, acceptability to stakeholders, equity impact and sustainability. Implementation of these policies will require sustained co-ordination across jurisdictions and multiple government sectors in order to generate the predicted health benefits for the Australian population.
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Affiliation(s)
- Jaithri Ananthapavan
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Gary Sacks
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Vicki Brown
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Marj Moodie
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Phuong Nguyen
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Lennert Veerman
- School of Medicine, Griffith University, Gold Coast, Australia
| | - Ana Maria Mantilla Herrera
- Queensland Centre for Mental Health Research, Brisbane, Australia
- School of Public Health, The University of Queensland, Brisbane, Australia
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
| | - Anita Lal
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Anna Peeters
- Global Obesity Centre, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Rob Carter
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, Australia
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Chin KL, Zomer E, Wang BH, Liew D. Cost-Effectiveness of Switching Patients With Heart Failure and Reduced Ejection Fraction to Sacubitril/Valsartan: The Australian Perspective. Heart Lung Circ 2020; 29:1310-1317. [PMID: 32303468 DOI: 10.1016/j.hlc.2019.03.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 01/19/2019] [Accepted: 03/16/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND The cost-effectiveness, from the Australian health care perspective, of switching patients with heart failure and reduced ejection fraction (HFREF) stable on angiotensin converting enzyme (ACE) inhibitors/angiotensin II receptor blockers (ARBs) to the angiotensin receptor neprilysin inhibitor (ARNi) sacubitril/valsartan is unclear. We sought to assess the cost-effectiveness of sacubitril/valsartan versus enalapril in patients with HFREF in the contemporary Australian setting. METHODS We developed a Markov model with two health states ('Alive' and 'Dead') to assess the cost-effectiveness of sacubitril/valsartan versus enalapril in patients with HFREF. Model subjects were 63 years of age at entry and had simulated follow-up over 20 years. Transition probabilities were derived from the Prospective comparison of ARNI with ACEI to Determine Impact on Global Mortality and morbidity in Heart Failure (PARADIGM-HF) study. Costs and utility data were derived from published sources. All costs and effects were discounted at an annual rate of 5% and are presented in Australian dollars. Sensitivity analyses were undertaken to test variability in key data inputs. RESULTS In the base-case analysis, sacubitril/valsartan was found to reduce non-fatal heart failure hospitalisations and cardiovascular deaths, with numbers-needed-to-treat over a 20-year period of 40 and 27, respectively. The use of sacubitril/valsartan led to an additional 6 months of life gained per patient, translating to A$27,954 per years of life saved (YoLS) and A$40,513 per quality-adjusted-life-years (QALY) gained. The results of the sensitivity analyses indicated that the results were robust. CONCLUSIONS Our analysis supports switching HFREF patients on ACE inhibitor or ARB to sacubitril/valsartan.
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Affiliation(s)
- Ken Lee Chin
- CCRE Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Melbourne Medical School, The University of Melbourne, Melbourne, Vic, Australia
| | - Ella Zomer
- CCRE Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Bing H Wang
- CCRE Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Danny Liew
- CCRE Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia.
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Chang CY, Cho CY, Lai CC, Lu CY, Chang LY, Hung MC, Huang LM, Wu KG. Immunogenicity and safety of a quadrivalent inactivated influenza vaccine in healthy subjects aged 3 to 17 years old: A phase III, open label, single-arm study. Vaccine 2020; 38:3839-3846. [PMID: 32284272 DOI: 10.1016/j.vaccine.2020.03.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/20/2020] [Accepted: 03/27/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Quadrivalent influenza vaccines are particularly valuable during seasons in which a mismatch occurs between the predicted influenza B lineage for the trivalent influenza vaccine and the circulating strain. This study evaluated the immunogenicity and safety of a quadrivalent inactivated influenza vaccine AdimFlu-S manufactured in Taiwan for the 2016-2017 influenza season in healthy children. METHODS A total of 174 healthy children aged 3 to 17 years old were separated into 3 groups (Group A: 3-8 years old, vaccine naïve; Group B: 3-8 years old, vaccine non-naïve; Group C: 9-17 years old, any vaccine status). Sera was collected pre and post vaccination for each participant. A hemagglutination inhibition (HAI) assay was utilized to calculate geometric mean titer (GMT), seroprotection rate, and seroconversion rate. RESULTS All enrolled participants completed the study. For the four vaccine strains four weeks after the last vaccination, geometric mean titer ratios (GMTRs) were between 2.9 and 20.9, seroconversion rates were between 42.9% and 90.9%, and seroprotection rates were all above 96.4%. This achieved all immunogenicity endpoints and fulfilled the criteria of the European Medical Agency's Committee for Medicinal Products for Human Use (CHMP). No serious adverse events (AEs) were reported during the follow-up period of 6 months. CONCLUSION This quadrivalent influenza vaccine is demonstrated to be well tolerated and displays robust immunogenicity for each influenza strain. This could potentially improve protection against the antigenically distinct B/Yamagata and B/Victoria lineages.
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Affiliation(s)
- Chia-Yuan Chang
- Division of Infectious Diseases, Department of Pediatrics, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
| | - Ching-Yi Cho
- Division of Infectious Diseases, Department of Pediatrics, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
| | - Chou-Cheng Lai
- Division of Infectious Diseases, Department of Pediatrics, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
| | - Chun-Yi Lu
- Departments of Pediatrics, National Taiwan University Children's Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Luan-Yin Chang
- Departments of Pediatrics, National Taiwan University Children's Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Miao-Chiu Hung
- Division of Infectious Diseases, Department of Pediatrics, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
| | - Li-Min Huang
- Departments of Pediatrics, National Taiwan University Children's Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
| | - Keh-Gong Wu
- Division of Infectious Diseases, Department of Pediatrics, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan.
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Robinson E, Nguyen P, Jiang H, Livingston M, Ananthapavan J, Lal A, Sacks G. Increasing the Price of Alcohol as an Obesity Prevention Measure: The Potential Cost-Effectiveness of Introducing a Uniform Volumetric Tax and a Minimum Floor Price on Alcohol in Australia. Nutrients 2020; 12:E603. [PMID: 32110864 PMCID: PMC7146351 DOI: 10.3390/nu12030603] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 02/19/2020] [Accepted: 02/21/2020] [Indexed: 11/16/2022] Open
Abstract
The objective of this study was to estimate, from an obesity prevention perspective, the cost-effectiveness of two potential policies that increase the price of alcohol in Australia: a volumetric tax applied to all alcohol (Intervention 1) and a minimum unit floor price (Intervention 2). Estimated changes in alcoholic drink consumption and corresponding changes in energy intake were calculated using the 2011-12 Australian Health Survey data, published price elasticities, and nutrition information. The incremental changes in body mass index (BMI), BMI-related disease outcomes, healthcare costs, and Health Adjusted Life Years (HALYs) were estimated using a validated model. Costs associated with each intervention were estimated for government and industry. Both interventions were estimated to lead to reductions in mean alcohol consumption (Intervention 1: 20.7% (95% Uncertainty Interval (UI): 20.2% to 21.1%); Intervention 2: 9.2% (95% UI: 8.9% to 9.6%); reductions in mean population body weight (Intervention 1: 0.9 kg (95% UI: 0.84 to 0.96); Intervention 2: 0.45 kg (95% UI: 0.42 to 0.48)); HALYs gained (Intervention 1: 566,648 (95% UI: 497,431 to 647,262); Intervention 2: 317,653 (95% UI: 276,334 to 361,573)); and healthcare cost savings (Intervention 1: $5.8 billion (B) (95% UI: $5.1B to $6.6B); Intervention 2: $3.3B (95% UI: $2.9B to $3.7B)). Intervention costs were estimated as $24M for Intervention 1 and $30M for Intervention 2. Both interventions were dominant, resulting in health gains and cost savings. Increasing the price of alcohol is likely to be cost-effective from an obesity prevention perspective in the Australian context, provided consumers substitute alcoholic beverages with low or no kilojoule alternatives.
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Affiliation(s)
- Ella Robinson
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (P.N.); (J.A.); (A.L.); (G.S.)
| | - Phuong Nguyen
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (P.N.); (J.A.); (A.L.); (G.S.)
- Deakin Health Economics (DHE), Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Heng Jiang
- Centre for Alcohol Policy Research (CAPR), School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia; (H.J.); (M.L.)
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Carlton VIC 3053, Australia
| | - Michael Livingston
- Centre for Alcohol Policy Research (CAPR), School of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia; (H.J.); (M.L.)
| | - Jaithri Ananthapavan
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (P.N.); (J.A.); (A.L.); (G.S.)
- Deakin Health Economics (DHE), Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Anita Lal
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (P.N.); (J.A.); (A.L.); (G.S.)
- Deakin Health Economics (DHE), Institute for Health Transformation, Deakin University, Burwood, VIC 3125, Australia
| | - Gary Sacks
- Global Obesity Centre (GLOBE), Institute for Health Transformation, Deakin University, Geelong, VIC 3220, Australia; (P.N.); (J.A.); (A.L.); (G.S.)
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Burns CL, Wishart LR, Kularatna S, Ward EC. Knowing the costs of change: an introduction to health economic analyses and considerations for their use in implementation research. SPEECH LANGUAGE AND HEARING 2020. [DOI: 10.1080/2050571x.2019.1693750] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Clare L. Burns
- Speech Pathology & Audiology Department, Royal Brisbane & Women’s Hospital, Metro North Hospital and Health Service, Queensland, Australia
- School of Health & Rehabilitation Sciences, The University of Queensland, Queensland, Australia
| | - Laurelie R. Wishart
- School of Health & Rehabilitation Sciences, The University of Queensland, Queensland, Australia
- Centre for Functioning and Health Research, Metro South Hospital and Health Service, Queensland, Australia
| | - Sanjeewa Kularatna
- Australian Centre for Health Services Innovation, School of Public Health & Social Work, Queensland University of Technology, Queensland, Australia
| | - Elizabeth C. Ward
- School of Health & Rehabilitation Sciences, The University of Queensland, Queensland, Australia
- Centre for Functioning and Health Research, Metro South Hospital and Health Service, Queensland, Australia
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McDougall JA, Furnback WE, Wang BCM, Mahlich J. Understanding the global measurement of willingness to pay in health. JOURNAL OF MARKET ACCESS & HEALTH POLICY 2020; 8:1717030. [PMID: 32158523 PMCID: PMC7048225 DOI: 10.1080/20016689.2020.1717030] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 12/20/2019] [Accepted: 01/09/2020] [Indexed: 05/05/2023]
Abstract
Objective: To understand the different methodologies used to elicit willingness to pay for health and the value of a statistical life year through surveys. Methodology: A systematic review of the literature was undertaken to identify studies using surveys to estimate either willingness to pay for health or the value of a statistical life year. Each study was reviewed and the study setting, sample size, sample description, survey administration (online or face to face), survey methodology, and results were extracted. The results of the studies were then compared to any published national guidelines of cost-effectiveness thresholds to determine their accuracy. Results: Eighteen studies were included in the review with 15 classified as willingness to pay and 3 value of a statistical life. The included studies covered Asia (n = 6), Europe (n = 4), the Middle East (n = 1), and North America (n = 5), with one study taking a global perspective. There were substantial differences in both the methodologies and the estimates of both willingness to pay and value of a statistical life between the different studies. Conclusion: Different methods used to elicit willingness to pay and the value of a statistical life year resulted in a wide range of estimates.
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Affiliation(s)
- Jean A. McDougall
- Health Economics and Outcomes Research, Elysia Group, LLC, New York, NY, USA
- Division of Epidemiology, Biostatistics, and Preventive Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Wesley E. Furnback
- Health Economics and Outcomes Research, Elysia Group, LLC, New York, NY, USA
| | - Bruce C. M. Wang
- Health Economics and Outcomes Research, Elysia Group, LLC, New York, NY, USA
- CONTACT Bruce C. M. Wang Elysia Group, LLC, 333 E 43rd Street, Apt., 1012, New York, NY10017, USA
| | - Jörg Mahlich
- Health Economics, Janssen Pharmaceutical KK, Tokyo, Japan
- Düsseldorf Institute for Competition Economics (DICE), University of Düsseldorf, Düsseldorf, Germany
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Mahumud RA, Alam K, Dunn J, Gow J. The cost-effectiveness of controlling cervical cancer using a new 9-valent human papillomavirus vaccine among school-aged girls in Australia. PLoS One 2019; 14:e0223658. [PMID: 31596899 PMCID: PMC6785120 DOI: 10.1371/journal.pone.0223658] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 09/24/2019] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Cervical cancer imposes a substantial health burden worldwide including in Australia and is caused by persistent infection with one of 13 sexually transmitted high-risk human papillomavirus (HPV) types. The objective of this study was to assess the cost-effectiveness of adding a nonavalent new Gardasil-9® (9vHPV) vaccine to the national immunisation schedule in Australia across three different delivery strategies. MATERIALS AND METHODS The Papillomavirus Rapid Interface for Modelling and Economics (PRIME) model was used to examine the cost-effectiveness of 9vHPV vaccine introduction to prevent HPV infection. Academic literature and anecdotal evidence were included on the demographic variables, cervical cancer incidence and mortality, treatment costs, and vaccine delivery costs. The incremental cost-effectiveness ratios (ICERs) were measured per disability-adjusted life years (DALYs) averted, using the heuristic cost-effectiveness threshold defined by the World Health Organisation (WHO). Analyses and data from international agencies were used in scenario analysis from the health system and societal perspectives. RESULTS The 9vHPV vaccination was estimated to prevent 113 new cases of cervical cancer (discounted) during a 20-year period. From the health system and societal perspectives, the 9vHPV vaccination was very cost-effective in comparison with the status quo, with an ICER of A$47,008 and A$44,678 per DALY averted, respectively, using the heuristic cost-effectiveness threshold level. Considering delivery strategies, the ICERs per DALY averted were A$47,605, A$46,682, and A$46,738 for school, health facilities, and outreach-based vaccination programs from the health system perspective, wherein, from the societal perspective, the ICERs per DALY averted were A$46,378, A$43,729, A$43,930, respectively. All estimates of ICERs fell below the threshold level (A$73,267). CONCLUSIONS This cost-effectiveness evaluation suggests that the routine two-dose 9vHPV vaccination strategy of preadolescent girls against HPV is very cost-effective in Australia from both the health system and societal perspectives. If equally priced, the 9vHPV option is the most economically viable vaccine. Overall, this analysis seeks to contribute to an evidence-based recommendation about the new 9vHPV vaccination in the national immunisation program in Australia.
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Affiliation(s)
- Rashidul Alam Mahumud
- Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia
- School of Commerce, University of Southern Queensland, Toowoomba, QLD Australia
- Health Economics Research, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- Health and Epidemiology Research, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh
| | - Khorshed Alam
- Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia
- School of Commerce, University of Southern Queensland, Toowoomba, QLD Australia
| | - Jeff Dunn
- Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia
- Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, QLD, Australia
- Prostate Cancer Foundation of Australia, St Leonards NSW, Australia
| | - Jeff Gow
- Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, Australia
- School of Commerce, University of Southern Queensland, Toowoomba, QLD Australia
- School of Accounting, Economics and Finance, University of KwaZulu-Natal, Durban, South Africa
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Dang TTH, Rowell D, Liddle J, Coyne T, Silburn P, Connelly LB. Economic evaluation of deep-brain stimulation for Tourette's syndrome: an initial exploration. J Neurol 2019; 266:2997-3008. [PMID: 31485722 DOI: 10.1007/s00415-019-09521-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 08/26/2019] [Accepted: 08/28/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Deep-brain stimulation (DBS) can be effective in controlling medically intractable symptoms of Tourette's syndrome (TS). There is no evidence to date, though, of the potential cost-effectiveness of DBS for this indication. OBJECTIVE To provide the first estimates of the likely cost-effectiveness of DBS in the treatment of severe TS. METHODS We conducted a cost-utility analysis using clinical data from 17 Australian patients receiving DBS. Direct medical costs for DBS using non-rechargeable and rechargeable batteries and for the alternative best medical treatment (BMT), and health utilities for BMT were sourced from the literature. Incremental cost-effectiveness ratios (ICERs) were estimated using a Markov models with a 10-year time horizon and 5% discount rate. RESULTS DBS increased quality-adjusted life year (QALY) gained from 2.76 to 4.60 over a 10-year time horizon. The ICER for DBS with non-rechargeable (rechargeable) batteries, compared to BMT, was A$33,838 (A$15,859) per QALY. The ICER estimates are sensitive to DBS costs and selected time horizon. CONCLUSIONS Our study indicates that DBS may be a cost-effective treatment for severe TS, based on the very limited clinical data available and under particular assumptions. While the limited availability of data presents a challenge, we also conduct sensitivity analyses to test the robustness of the results to the assumptions used in the analysis. We nevertheless recommend the implementation of randomised controlled trials that collect a comprehensive range of costs and the use of a widely accepted health-related quality of life instrument to enable more definitive statements about the cost-effectiveness of DBS for TS.
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Affiliation(s)
- Tho T H Dang
- Asia-Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland, Brisbane, Australia. .,Centre for the Business and Economics of Health, The University of Queensland, Brisbane, Australia.
| | - David Rowell
- Centre for the Business and Economics of Health, The University of Queensland, Brisbane, Australia
| | - Jacki Liddle
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - Terry Coyne
- Asia-Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Peter Silburn
- Asia-Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Luke B Connelly
- Asia-Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland, Brisbane, Australia.,Centre for the Business and Economics of Health, The University of Queensland, Brisbane, Australia.,Dipartimento di Sociologia e Diritto dell'Economia, The University of Bologna, Bologna, Italy
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50
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Brown V, Ananthapavan J, Sonntag D, Tan EJ, Hayes A, Moodie M. The potential for long-term cost-effectiveness of obesity prevention interventions in the early years of life. Pediatr Obes 2019; 14:e12517. [PMID: 30816024 DOI: 10.1111/ijpo.12517] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Accepted: 01/21/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Early childhood obesity prevention is gaining increasing importance, as the prevalence of children with overweight and obesity aged 5 years and under increases worldwide. Along with understanding the effectiveness of obesity interventions, it is important to understand the cost-effectiveness of interventions over time. OBJECTIVES To estimate the long-term health benefits and health care cost-savings of reductions in BMI for the Australian population of children aged between 2 and 5 years. METHODS A proportional multistate, multiple cohort lifetable model estimated the health benefits and health care cost-savings related to hypothetical reductions in BMI, informed by a scoping review of systematic reviews reporting the effectiveness of obesity prevention interventions in preschool aged children. RESULTS Results suggest significant potential for cost-effectiveness of obesity prevention interventions in preschool-aged children if intervention effect can be maintained. A relatively small population level reduction in BMI z-score (-0.13 BMIz) in children aged 2 to 5 years would result in 36 496 health-adjusted life years saved (95% uncertainty interval [UI], 30 283-42 945) and health care cost-savings of approximately $301 million (95% UI $234 million-$369 million) if modelled over the lifetime. CONCLUSIONS Scenario results highlight the importance of obesity intervention in the early years of life.
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Affiliation(s)
- Vicki Brown
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, The University of Sydney, New South Wales, Australia.,Deakin Health Economics, Centre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Jaithri Ananthapavan
- Deakin Health Economics, Centre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Diana Sonntag
- Mannheim Institute of Public Health, Social and Preventive Medicine, Mannheim Medical Faculty of the Heidelberg University, Mannheim, Germany.,Department of Health Sciences, University of York, York, UK
| | - Eng Joo Tan
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, The University of Sydney, New South Wales, Australia.,School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Alison Hayes
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, The University of Sydney, New South Wales, Australia.,School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Marj Moodie
- Centre for Research Excellence in the Early Prevention of Obesity in Childhood, The University of Sydney, New South Wales, Australia.,Deakin Health Economics, Centre for Population Health Research, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
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