Evidence map›Paper›PMID 37813445›Full record

ReviewBMJ global health2023

Considerations for modelling a broad food tax in the Philippines and other low-income and middle-income countries.

Christine Johnson Curtis, Matti Marklund, Akshar Saxena, Eva Goyena, Josie P Desnacido, Adam D Koon, Bethany Warren, Laura K Cobb, Megan E Henry, Lawrence J Appel and 1 more

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 5 countries.

Christine Johnson CurtisResolve to Saves Lives, New York, New York, USA cmj.johnson@gmail.com.ORCID 0000-0001-8973-3478
Matti MarklundWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-3320-796X
Akshar SaxenaSchool of Social Sciences, Economics, Nanyang Technological University, Singapore.ORCID 0000-0001-8518-0466
Eva GoyenaDepartment of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines.ORCID 0000-0002-2282-5965
Josie P DesnacidoDepartment of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines.ORCID 0000-0001-7673-2169
Adam D KoonInternational Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-9031-9810
Bethany WarrenResolve to Saves Lives, New York, New York, USA.ORCID 0000-0002-4291-8843
Laura K CobbResolve to Saves Lives, New York, New York, USA.ORCID 0000-0003-1580-1751
Megan E HenryWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0003-2964-2122
Lawrence J AppelWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-0673-6823
Imelda Angeles-AgdeppaDepartment of Science and Technology, Food and Nutrition Research Institute, Manila, Philippines.ORCID 0000-0001-9132-7399
Johns Hopkins University · USNutrition Center of the Philippines · PHNanyang Technological University · SGUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Developing CountriesFoodHumansPhilippinesReproducibility of ResultsTaxesHealth policyNutritionPrevention strategies

Identifiers

PMID37813445
PMCPMC10565299
OpenAlexW4387460822

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.