Evidence map›Paper›PMID 31125848›Full record

ArticleHealth & place2019

Assessing the potential utility of commercial 'big data' for health research: Enhancing small-area deprivation measures with Experian™ Mosaic groups.

Welcome M Wami, Ruth Dundas, Oarabile R Molaodi, Mette Tranter, Alastair H Leyland, Srinivasa Vittal Katikireddi

Open access · hybridAbstract read
In one paragraph

Article in Health & place, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Article
  3. Beyond the map: evidencing the spatial dimension of health inequalities.International journal of health geographics · 2020
    Article
  4. Article
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

6 authors at 3 institutions in 1 country.

Welcome M WamiMRC/CSO Social and Public Health Sciences Unit, 200 Renfield Street, University of Glasgow, Glasgow, G2 3AX, UK. Electronic address: welcome.wami@glasgow.ac.uk.
Ruth DundasMRC/CSO Social and Public Health Sciences Unit, 200 Renfield Street, University of Glasgow, Glasgow, G2 3AX, UK.
Oarabile R MolaodiMRC/CSO Social and Public Health Sciences Unit, 200 Renfield Street, University of Glasgow, Glasgow, G2 3AX, UK.
Mette TranterDirectorate of Public Health and Health Policy, Lothian National Health Service (NHS) Board, Edinburgh, UK.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, 200 Renfield Street, University of Glasgow, Glasgow, G2 3AX, UK.
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, 200 Renfield Street, University of Glasgow, Glasgow, G2 3AX, UK.
MRC/CSO Social and Public Health Sciences Unit · GBNHS Lothian · GBUniversity of Glasgow · GB

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15
6 · The paper itself

Abstract

In contrast to area-based deprivation measures, commercial datasets remain infrequently used in health research and policy. Experian collates numerous commercial and administrative data sources to produce Mosaic groups which stratify households into 15 groups for marketing purposes. We assessed the potential utility of Mosaic groups for health research purposes by investigating their relationships with Indices of Multiple Deprivation (IMD) for the British population. Mosaic groups showed significant associations with IMD quintiles. Correspondence Analysis revealed variations in patterns of association, with Mosaic groups either showing increasing, decreasing, or some mixed trends with deprivation quintiles. These results suggest that Experian's Mosaics additionally measure other aspects of socioeconomic circumstances to those captured by deprivation measures. These commercial data may provide new insights into the social determinants of health at a small area level.

Indexed as

Big DataData CollectionFamily CharacteristicsHealth Services ResearchSocioeconomic FactorsHealth Status IndicatorsHumansUnited KingdomCommercial big dataDeprivationExperian mosaicPublic healthSocioeconomic measures

Identifiers

PMID31125848
PMCPMC6686722
OpenAlexW2945268125

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.