Validation of a province-wide commercial food store dataset in a heterogeneous predominantly rural food environment.
Public Health Nutr
; 23(11): 1889-1895, 2020 08.
Article
em En
| MEDLINE
| ID: mdl-32295655
ABSTRACT
OBJECTIVE:
Commercially available business (CAB) datasets for food environments have been investigated for error in large urban contexts and some rural areas, but there is a relative dearth of literature that reports error across regions of variable rurality. The objective of the current study was to assess the validity of a CAB dataset using a government dataset at the provincial scale.DESIGN:
A ground-truthed dataset provided by the government of Newfoundland and Labrador (NL) was used to assess a popular commercial dataset. Concordance, sensitivity, positive-predictive value (PPV) and geocoding errors were calculated. Measures were stratified by store types and rurality to investigate any association between these variables and database accuracy.SETTING:
NL, Canada.PARTICIPANTS:
The current analysis used store-level (ecological) data.RESULTS:
Of 1125 stores, there were 380 stores that existed in both datasets and were considered true-positive stores. The mean positional error between a ground-truthed and test point was 17·72 km. When compared with the provincial dataset of businesses, grocery stores had the greatest agreement, sensitivity = 0·64, PPV = 0·60 and concordance = 0·45. Gas stations had the least agreement, sensitivity = 0·26, PPV = 0·32 and concordance = 0·17. Only 4 % of commercial data points in rural areas matched every criterion examined.CONCLUSIONS:
The commercial dataset exhibits a low level of agreement with the ground-truthed provincial data. Particularly retailers in rural areas or belonging to the gas station category suffered from misclassification and/or geocoding errors. Taken together, the commercial dataset is differentially representative of the ground-truthed reality based on store-type and rurality/urbanity.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
População Rural
/
Meio Social
/
Comércio
/
Conjuntos de Dados como Assunto
/
Abastecimento de Alimentos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
País/Região como assunto:
America do norte
Idioma:
En
Revista:
Public Health Nutr
Assunto da revista:
CIENCIAS DA NUTRICAO
/
SAUDE PUBLICA
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Canadá