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Huse O, Backholer K, Nguyen P, Calibo A, Guirindola M, Desnacido JP, Sacks G, Bell AC, Peeters A, Angeles-Agdeppa I, Ananthapavan J. A comparative analysis of the cost-utility of the Philippine tax on sweetened beverages as proposed and as implemented. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 41:100912. [PMID: 37780636 PMCID: PMC10534259 DOI: 10.1016/j.lanwpc.2023.100912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/01/2023] [Accepted: 09/10/2023] [Indexed: 10/03/2023]
Abstract
Background In response to increasing overweight and obesity, the Philippine government introduced a tax on sweetened beverages (SBs) in 2018. Evidence suggests that the beverage industry influenced the final tax design, making it more favourable for industry than the initially proposed bill. This study aimed to compare the relative health and economic benefits of the proposed SB tax with the implemented SB tax. Methods Philippine dietary consumption data were combined with price elasticity data from Mexico and data from Australia adapted to the Philippine context to estimate reductions in SB purchases and changes in body mass index (BMI) following the implementation of the tax. A multi-state, multiple-cohort Markov model was used to estimate the change in health-adjusted life years (HALYs) due to reduction in the epidemiology of obesity-related diseases, healthcare cost savings and government taxation revenue, resulting from both the proposed and implemented tax policies, over the lifetime of the 2018 Philippine population. Findings The proposed and implemented taxes were modelled to be dominant (cost-saving and improving health). Intervention costs were modelled to be PHP305.2 million (M) (approximately US$6M). Compared to the proposed tax, the implemented tax was modelled to result in a 43.0% smaller reduction in targeted beverage intake (51.1 ml/person/day vs. 89.7 ml/person/day), a 43.5% smaller reduction in BMI (0.35 kg/m2 vs. 0.62 kg/m2), 39.7% fewer HALYs gained (2,503,118 vs. 4,149,030), 39.9% fewer healthcare cost savings (PHP16.4 billion (B) vs. PHP27.3B), and 27.7% less government taxation revenue (PHP426.3B vs. PHP589.4B). Interpretation While the implemented tax in the Philippines will benefit population health, it is likely to yield less benefit than the proposed tax. The influence of the food and beverage industry on policy processes has the potential to lessen the benefits of population NCD prevention policies. Funding OH was supported to conduct this research by an Australian Government Research Training Program Stipend Scholarship. The funding body had no role in data collection and analysis, or manuscript preparation.
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Affiliation(s)
- Oliver Huse
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Kathryn Backholer
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Phuong Nguyen
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Anthony Calibo
- Child Health Division, Department of Health, Medical Specialist IV, Disease Prevention and Control Bureau, Manila (2011-2020), Philippines
- Institute of Pediatrics and Child Health, St. Luke's Medical Center, Quezon City, Philippines
| | - Mildred Guirindola
- Department of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines
| | - Josie P. Desnacido
- Department of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines
| | - Gary Sacks
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Andrew Colin Bell
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Anna Peeters
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Imelda Angeles-Agdeppa
- Department of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines
| | - Jaithri Ananthapavan
- Global Centre for Preventative Health and Nutrition, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
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Johnson Curtis C, Marklund M, Saxena A, Goyena E, P Desnacido J, Koon AD, Warren B, Cobb LK, E Henry M, Appel LJ, Angeles-Agdeppa I. Considerations for modelling a broad food tax in the Philippines and other low-income and middle-income countries. BMJ Glob Health 2023; 8:e012068. [PMID: 37813445 PMCID: PMC10565299 DOI: 10.1136/bmjgh-2023-012068] [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: 02/17/2023] [Accepted: 05/14/2023] [Indexed: 10/13/2023] Open
Abstract
Fiscal policies to improve diet are a promising strategy to address the increasing burden of non-communicable disease, the leading cause of death globally. Sugar-sweetened beverage taxes are the most implemented type of fiscal policy to improve diet. Yet taxes on food, if appropriately structured and applied across the food supply, may support a larger population-level shift towards a healthier diet. Designing these policies and guiding them through the legislative process requires evidence. Equity-oriented cost-effectiveness analyses that estimate the distribution of potential health and economic gains can provide this critical evidence. Taxes on less healthy foods are rarely modelled in low-income and middle-income countries.We describe considerations for modelling the effect of a food tax, which can provide guidance for food tax policy design. This includes describing issues related to the availability, reliability and level of detail of national data on dietary habits, the nutrient content of foods and food prices; the structure of the nutrient profile model; type of tax; tax rate; pass-through rate and price elasticity. Using the Philippines as an example, we discuss considerations for using existing data to model the potential effect of a tax, while also taking into account the political and food policy context. In this way, we provide a modelling framework that can help guide policy-makers and advocates in designing a food policy to improve the health and well-being of future generations in the Philippines and elsewhere.
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Affiliation(s)
| | - Matti Marklund
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Akshar Saxena
- School of Social Sciences, Economics, Nanyang Technological University, Singapore
| | - Eva Goyena
- Department of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines
| | - Josie P Desnacido
- Department of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines
| | - Adam D Koon
- International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | | | - Megan E Henry
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Lawrence J Appel
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Imelda Angeles-Agdeppa
- Department of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines
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