Evidence map›Paper›PMID 37813439›Full record

ArticleBMJ global health2023

Framing health taxes: a scoping review.

Adam D Koon, Robert Marten

Abstract readScoping Review
In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
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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

2 authors.

Adam D KoonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA AdamKoon@jhu.edu.ORCID 0000-0002-9031-9810
Robert MartenSecretariat, WHO Alliance for Health Policy and Systems Research, Geneva, Switzerland.ORCID 0000-0002-2416-2309

Funding

World Health Organization 001
6 · The paper itself

Abstract

Health taxes are increasingly positioned as effective policy instruments for curbing non-communicable disease, improving health and raising government revenues. Their allure has caused many health advocates to look beyond tobacco and alcohol to other harmful products such as sugar-sweetened beverages (SSBs), salty foods, fatty foods and fossil fuels. These efforts, however, directly conflict with commercial actors' interests. Both pro-tax health advocates and anti-tax industry representatives seek to frame health tax policy in favourable ways. Yet, little is known about which types of frames resonate in which settings, or how they deploy morals and values in their attempts to persuade. To fill this gap, we conducted a scoping review on framing health taxes using six databases in 2022. A total of 40 peer-reviewed empirical research articles, from 2006 to 2022, were identified from 20 different countries. Most research was conducted in high-income countries, published in the last 4 years and increasingly focused on excise taxes for SSBs. Studies captured multiple actors constructing context-specific frames, often tied to broader economic, health and administrative considerations. Actors also engaged in a range of political activities in addition to framing. We found some evidence that anti-tax framing strategies potentially incorporated a broader array of morals and social values. More in-country comparative research, particularly from low/middle-income countries, is needed to understand the politics of framing health taxes. We argue that these insights can improve efforts to advance health taxes by constraining corporate power, improving population level health and promoting greater social harmony.

Indexed as

Health PolicyTaxesHumansPoliticsHealth policyHealth systemsReview

Identifiers

PMID37813439
PMCPMC10565303

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.