Evidence map›Paper›PMID 27435175›Full record

ArticleBMC public health2016

Study protocol: combining experimental methods, econometrics and simulation modelling to determine price elasticities for studying food taxes and subsidies (The Price ExaM Study).

Wilma E Waterlander, Tony Blakely, Nhung Nghiem, Christine L Cleghorn, Helen Eyles, Murat Genc, Nick Wilson, Yannan Jiang, Boyd Swinburn, Liana Jacobi and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Wilma E WaterlanderNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand. w.waterlander@auckland.ac.nz.
Tony BlakelyDepartment of Public Health, University of Otago, Wellington, New Zealand.
Nhung NghiemDepartment of Public Health, University of Otago, Wellington, New Zealand.
Christine L CleghornDepartment of Public Health, University of Otago, Wellington, New Zealand.
Helen EylesNational Institute for Health Innovation and Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
Murat GencDepartment of Economics, University of Otago, Dunedin, New Zealand.
Nick WilsonDepartment of Public Health, University of Otago, Wellington, New Zealand.
Yannan JiangNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Boyd SwinburnDepartment of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
Liana JacobiDepartment of Economics, The University of Melbourne, Melbourne, VIC, Australia.
Jo MichieNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Cliona Ni MhurchuNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
University of Auckland · NZUniversity of Otago · NZUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a need for accurate and precise food price elasticities (PE, change in consumer demand in response to change in price) to better inform policy on health-related food taxes and subsidies. METHODS/

designThe Price Experiment and Modelling (Price ExaM) study aims to: I) derive accurate and precise food PE values; II) quantify the impact of price changes on quantity and quality of discrete food group purchases and; III) model the potential health and disease impacts of a range of food taxes and subsidies. To achieve this, we will use a novel method that includes a randomised Virtual Supermarket experiment and econometric methods. Findings will be applied in simulation models to estimate population health impact (quality-adjusted life-years [QALYs]) using a multi-state life-table model. The study will consist of four sequential steps: 1. We generate 5000 price sets with random price variation for all 1412 Virtual Supermarket food and beverage products. Then we add systematic price variation for foods to simulate five taxes and subsidies: a fruit and vegetable subsidy and taxes on sugar, saturated fat, salt, and sugar-sweetened beverages. 2. Using an experimental design, 1000 adult New Zealand shoppers complete five household grocery shops in the Virtual Supermarket where they are randomly assigned to one of the 5000 price sets each time. 3. Output data (i.e., multiple observations of price configurations and purchased amounts) are used as inputs to econometric models (using Bayesian methods) to estimate accurate PE values. 4. A disease simulation model will be run with the new PE values as inputs to estimate QALYs gained and health costs saved for the five policy interventions. DISCUSSION: The Price ExaM study has the potential to enhance public health and economic disciplines by introducing internationally novel scientific methods to estimate accurate and precise food PE values. These values will be used to model the potential health and disease impacts of various food pricing policy options. Findings will inform policy on health-related food taxes and subsidies.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12616000122459 (registered 3 February 2016).

Indexed as

AdultAgedAged, 80 and overAustraliaBayes TheoremCommerceFemaleFinancing, GovernmentFoodHumansMaleMiddle AgedModels, EconometricNew ZealandTaxesYoung AdultBayesianFood policyFood pricingFood subsidiesFood taxesModellingPrice elasticitiesRCTVirtual supermarket

Identifiers

PMID27435175
PMCPMC4952230
OpenAlexW2479058687

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.