Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data
Author(s) -
Alexandre Lebel,
Madeleine I. G. Daepp,
Jason P. Block,
Renee E. Walker,
Benoît Lalonde,
Yan Kestens,
S. V. Subramanian
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0174417
Subject(s) - meta analysis , quality (philosophy) , data science , data quality , external validity , systematic review , computer science , medline , statistics , medicine , mathematics , biology , business , marketing , metric (unit) , philosophy , epistemology , biochemistry
This paper reviews studies of the validity of commercially available business (CAB) data on food establishments (“the foodscape”), offering a meta-analysis of characteristics associated with CAB quality and a case study evaluating the performance of commonly-used validity indicators describing the foodscape. Existing validation studies report a broad range in CAB data quality, although most studies conclude that CAB quality is “moderate” to “substantial”. We conclude that current studies may underestimate the quality of CAB data. We recommend that future validation studies use density-adjusted and exposure measures to offer a more meaningful characterization of the relationship of data error with spatial exposure.
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