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Ng SW, Colchero MA, White M. How should we evaluate sweetened beverage tax policies? A review of worldwide experience. BMC Public Health 2021; 21:1941. [PMID: 34702248 PMCID: PMC8546197 DOI: 10.1186/s12889-021-11984-2] [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] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 10/12/2021] [Indexed: 02/02/2023] Open
Abstract
Over 45 jurisdictions globally have implemented sweetened beverage taxes. Researchers and policymakers need to assess whether and how these taxes change beverage demand and supply, their intended and unanticipated health, economic and equity impacts. Lessons from such evaluations can maximise the policies' success and impact on non-communicable disease prevention globally. We discuss key theoretical, design and methodological considerations to help policymakers, funders and researchers commission and conduct rigorous evaluations of these policies and related disease prevention efforts. We encourage involving the perspectives of various stakeholders on what evaluations are needed given the specific context, what data and methods are appropriate, readily available or can be collected within time and budget constraints. A logic model /conceptual system map of anticipated implications across sectors and scales should help identify optimal study design, analytical techniques and measures. These models should be updated when synthesising findings across diverse methods and integrating findings across subpopulations using similar methods.
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Affiliation(s)
- Shu Wen Ng
- Carolina Population Center, University of North Carolina at Chapel Hill, CB #8120, 137 East Franklin Street, Chapel Hill, NC, 27516, USA.
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB#7461, UNC-Chapel Hill, Chapel Hill, NC, 27599-7461, USA.
| | - M Arantxa Colchero
- Center for Health Systems Research, Instituto Nacional de Salud Pública, Universidad No 655 Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera, CP, 62100, Cuernavaca, Morelos, Mexico
| | - Martin White
- Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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Le LKD, Hay P, Ananthapavan J, Lee YY, Mihalopoulos C. Assessing the Cost-Effectiveness of Interventions That Simultaneously Prevent High Body Mass Index and Eating Disorders. Nutrients 2020; 12:nu12082313. [PMID: 32752114 PMCID: PMC7468897 DOI: 10.3390/nu12082313] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 07/24/2020] [Accepted: 07/29/2020] [Indexed: 01/25/2023] Open
Abstract
Eating disorders (ED) are among the top three most common debilitating illnesses in adolescent females, while high Body Mass Index (BMI) is one of the five leading modifiable risk factors for preventable disease burden. The high prevalence of eating and weight-related problems in adolescence is of great concern, particularly since this is a period of rapid growth and development. Here, we comment on the current evidence for the prevention of EDs and high BMI and the importance of assessing the cost-effectiveness of interventions that integrate the prevention of EDs and high BMI in this population. There is evidence that there are effective interventions targeted at children, adolescents and young adults that can reduce the prevalence of risk factors associated with the development of EDs and high BMI concurrently. However, optimal decision-making for the health of younger generations involves considering the value for money of these effective interventions. Further research investigating the cost-effectiveness of potent and sustainable integrated preventive interventions for EDs and high BMI will provide decision makers with the necessary information to inform investment choices.
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Affiliation(s)
- Long Khanh-Dao Le
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Burwood, Victoria 3125, Australia; (J.A.); (Y.Y.L.); (C.M.)
- Correspondence: ; Tel.: +61-392468383
| | - Phillipa Hay
- Translational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia;
- Camden and Campbelltown Hospital, SWSLHD, Campbelltown, NSW 2560, Australia
| | - Jaithri Ananthapavan
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Burwood, Victoria 3125, Australia; (J.A.); (Y.Y.L.); (C.M.)
- Global Obesity Centre, Institute for Health Transformation, School of Health and Social Development, Deakin University, Burwood, Victoria 3125, Australia
| | - Yong Yi Lee
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Burwood, Victoria 3125, Australia; (J.A.); (Y.Y.L.); (C.M.)
- School of Public Health, The University of Queensland, Herston, QLD 4006, Australia
- Policy and Epidemiology Group, Queensland Centre for Mental Health Research, Wacol, QLD 4076, Australia
| | - Cathrine Mihalopoulos
- Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Burwood, Victoria 3125, Australia; (J.A.); (Y.Y.L.); (C.M.)
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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: 51] [Impact Index Per Article: 12.8] [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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