Evidence map›Paper›PMID 30958277›Full record

ArticleJMIR formative research2019

A Pilot Randomized Controlled Trial of a Digital Intervention Aimed at Improving Food Purchasing Behavior: The Front-of-Pack Food Labels Impact on Consumer Choice Study.

Richard A Harrington, Peter Scarborough, Charo Hodgkins, Monique M Raats, Gill Cowburn, Moira Dean, Aiden Doherty, Charlie Foster, Edmund Juszczak, Cliona Ni Mhurchu and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 10 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

14 authors at 5 institutions in 2 countries.

Richard A HarringtonCentre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-6854-1186
Peter ScarboroughCentre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-2378-2944
Charo HodgkinsFood, Consumer Behaviour and Health Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, United Kingdom.ORCID http://orcid.org/0000-0003-4775-0338
Monique M RaatsFood, Consumer Behaviour and Health Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, United Kingdom.ORCID http://orcid.org/0000-0002-8057-2783
Gill CowburnCentre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-1069-5355
Moira DeanInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom.ORCID http://orcid.org/0000-0002-9014-1266
Aiden DohertyBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-1840-0451
Charlie FosterCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom.ORCID http://orcid.org/0000-0002-9867-8703
Edmund JuszczakNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-5500-2247
Cliona Ni MhurchuNational Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-1144-9167
Naomi WinstoneDepartment of Higher Education, University of Surrey, Guildford, United Kingdom.ORCID http://orcid.org/0000-0001-8157-8274
Richard ShepherdFood, Consumer Behaviour and Health Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, United Kingdom.ORCID http://orcid.org/0000-0001-9669-3697
Lada TimotijevicFood, Consumer Behaviour and Health Research Centre, Faculty of Health & Medical Sciences, University of Surrey, Guildford, United Kingdom.ORCID http://orcid.org/0000-0002-3154-0048
Mike RaynerCentre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-0479-6483
University of Oxford · GBUniversity of Surrey · GBQueen's University Belfast · GBUniversity of Auckland · NZUniversity of Bristol · GB

Funding

British Heart Foundation FS/15/34/31656Medical Research Council MR/J000256/1
6 · The paper itself

Abstract

backgroundMost food in the United Kingdom is purchased in supermarkets, and many of these purchases are routinely tracked through supermarket loyalty card data. Using such data may be an effective way to develop remote public health interventions and to measure objectively their effectiveness at changing food purchasing behavior.

objectiveThe Front-of-pack food Labels: Impact on Consumer Choice (FLICC) study is a pilot randomized controlled trial of a digital behavior change intervention. This pilot trial aimed to collect data on recruitment and retention rates and to provide estimates of effect sizes for the primary outcome (healthiness of ready meals and pizzas purchased) to inform a larger trial.

methodsThe intervention consisted of a website where participants could access tailored feedback on previous purchases of ready meals and pizzas, set goals for behavior change, and model and practice the recommended healthy shopping behavior using traffic light labels. The control consisted of Web-based information on traffic light labeling. Participants were recruited via email from a list of loyalty card holders held by the participating supermarket. All food and drink purchases for the participants for the 6 months before recruitment, during the 6-week intervention period, and during a 12-week washout period were transferred to the research team by the participating supermarket. Healthiness of ready meals and pizzas was measured using a predeveloped scale based solely on the traffic light colors on the foods. Questionnaires were completed at recruitment, end of the intervention, and end of washout to estimate the effect of the intervention on variables that mediate behavior change (eg, belief and intention formation).

resultsWe recruited 496 participants from an initial email to 50,000 people. Only 3 people withdrew from the study, and purchase data were received for all other participants. A total of 208 participants completed all 3 questionnaires. There was no difference in the healthiness of purchased ready meals and pizzas between the intervention and control arms either during the intervention period (P=.32) or at washout (P=.59).

conclusionsAlthough the FLICC study did not find evidence of an impact of the intervention on food purchasing behavior, the unique methods used in this pilot trial are informative for future studies that plan to use supermarket loyalty card data in collaboration with supermarket partners. The experience of the trial showcases the possibilities and challenges associated with the use of loyalty card data in public health research.

trial registrationISRCTN Registry ISRCTN19316955; http://www.isrctn.com/ISRCTN19316955 (Archived by WebCite at http://www.webcitation.org/76IVZ9WjK). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s40814-015-0015-1.

Indexed as

dietrandomized controlled trial

Identifiers

PMID30958277
PMCPMC6482590
OpenAlexW2908636267

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.