Evidence map›Paper›PMID 35244693›Full record

ArticleHealth policy and planning2022

A comparative policy analysis of the adoption and implementation of sugar-sweetened beverage taxes (2016-19) in 16 countries.

Georgina Mulcahy, Tara Boelsen-Robinson, Ashleigh Chanel Hart, Maria Amalia Pesantes, Mohd Jamil Sameeha, Sirinya Phulkerd, Reem F Alsukait, Anne Marie Thow

Open access · hybridAbstract read
In one paragraph

Article in Health policy and planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  10. The Role of Obesity in Type 2 Diabetes Mellitus-An Overview.International journal of molecular sciences · 2024
    Review
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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

8 authors at 6 institutions in 6 countries.

Georgina MulcahyMenzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Australia.
Tara Boelsen-RobinsonMenzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Australia.
Ashleigh Chanel HartThe George Institute for Global Health, Level 5, 1 King Street, Newtown, New South Wales 2042, Australia.ORCID 0000-0001-6336-8214
Maria Amalia PesantesCRONICAS Centro de Excelencia en Enfermedades Crónicas, Universidad Peruana Cayetano, HerediaAv. Armendáriz 445, Miraflores Lima 18, Peru.
Mohd Jamil SameehaCentre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
Sirinya PhulkerdInstitute for Population and Social Research, Mahidol University, Phutthamonthon, Nakhon Pathom 73170, Thailand.
Reem F AlsukaitDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, King Saud University, Riyadh 11362, Saudi Arabia.
Anne Marie ThowMenzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Australia.
The University of Sydney · AUDickinson College · USKing Saud University · SAMahidol University · THNational University of Malaysia · MYThe George Institute for Global Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxes on sugar-sweetened beverages (SSBs) are recommended as part of comprehensive policy action to prevent diet-related non-communicable diseases (NCDs), but have been adopted by only one quarter of World Health Organization (WHO) Member States. This paper presents a comparative policy analysis of recent SSB taxes (2016-19) in 16 countries. This study aimed to analyse the characteristics and patterns of factors influencing adoption and implementation of SSB taxes and policy learning between countries, to draw lessons for future SSB taxes. The data collection and analysis were informed by an analytical framework that drew on 'diffusion of innovation' and theories of policy learning. Qualitative data were collected from policy documents and media, in addition to national statistics. Qualitative data were thematically analysed and a narrative synthesis approach was used for integrated case study analysis. We found adaptation and heterogeneity in the approaches used for SSB taxation with a majority of countries adopting excise taxes, and consistent health framing in media and policy documents. Common public frames supporting the taxes included reducing obesity/NCDs and raising revenue (government actors) and subsequent health system savings (non-government actors). Opposing frames focused on regressivity and incoherence with other economic policy (government actors) and posited that taxes have limited health benefits and negative economic impacts on the food industry (industry). Evident 'diffusion networks' included the WHO, predominantly in middle-income countries, and some regional economic bodies. We found indications of policy learning in the form of reference to other countries' taxes, particularly countries with membership in the same economic bodies and with shared borders. The study suggests that adoption of SSB taxation could be enhanced through strategic engagement by health actors with the policy-making process, consideration of the economic context, use of consistent health frames by cross-sector coalitions, and robust evaluation and reporting of SSB taxation.

Indexed as

Noncommunicable DiseasesSugar-Sweetened BeveragesHumansPolicyPolicy MakingTaxesfood policynutritionpolicy analysispolicy implementationpolicy researchPublic health

Identifiers

PMID35244693
PMCPMC9113088
OpenAlexW4210339470

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.