Evidence map›Paper›PMID 30546912›Full record

ArticleDigital health

Large-scale loyalty card data in health research.

Jaakko Nevalainen, Maijaliisa Erkkola, Hannu Saarijärvi, Turkka Näppilä, Mikael Fogelholm

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Fish, Seafood, and Fish Products Purchasing Habits in the Spanish Population during COVID-19 Lockdown.International journal of environmental research and public health · 2022
    Article
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  14. Human exposome assessment platform.Environmental epidemiology (Philadelphia, Pa.) · 2021
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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

5 authors.

Jaakko NevalainenHealth Sciences/Faculty of Social Sciences, University of Tampere, Tampere, Finland.ORCID https://orcid.org/0000-0001-6295-0245
Maijaliisa ErkkolaDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.
Hannu SaarijärviBusiness Studies/Faculty of Management, University of Tampere, Tampere, Finland.
Turkka NäppiläHealth Sciences/Faculty of Social Sciences, University of Tampere, Tampere, Finland.ORCID https://orcid.org/0000-0002-0562-7254
Mikael FogelholmDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the characteristics of large-scale loyalty card data obtained in Finland, and to evaluate their potential and challenges in health research.

methodsWe contacted the holders of a certain loyalty card living in a specific region in Finland via email, and requested their electronic informed consent to obtain their basic background characteristics and grocery expenditure data from 2016 for health research purposes. Non-participation and the characteristics and expenditure of the participants were mainly analysed using summary statistics and figures.

resultsThe data on expenditure came from 14,595 (5.6% of those contacted) consenting loyalty card holders. A total of 68.5% of the participants were women, with an average age of 46 years. Women and residents of Helsinki were more likely to participate. Both young and old participants were underrepresented in the sample. We observed that annual expenditure represented roughly two-thirds of the nationally estimated annual averages. Customers and personnel differed in their characteristics and expenditure, but not so much in their most frequently bought items.

conclusionsLoyalty card data from a major retailer enabled us to reach a large, heterogeneous sample with fewer resources than conventional surveys of the same magnitude. The potential of the data was great because of their size, coverage, objectivity, and long periods of dynamic data collection, which enables timely investigations. The challenges included bias due to non-participation, purchases in other stores, the level of detail in product grouping, and the knowledge gaps in what is being consumed and by whom. Loyalty card data are an underutilised resource in research, and could be used not only in retailers' activities, but also for societal benefit.

Indexed as

food expenditureHealth behaviourloyalty card dataparticipationpurchasessales dataSWOT

Identifiers

PMID30546912
PMCPMC6287323

What OpenQuestion holds

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LicenceCC BY-NC
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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.