Institute for Health Research and Policy, University of Illinois at Chicago, 1747 W. Roosevelt Road, M/C 275, Chicago, IL 60608, USA.
Health Place. 2011 Sep;17(5):1122-31. doi: 10.1016/j.healthplace.2011.05.010. Epub 2011 Jun 2.
This study used direct field observations with interior assessments of outlets to validate food store and restaurant data from two commercial business lists conditional on classification of outlet type, including supermarkets, grocery stores, convenience stores, full-service restaurants and fast food restaurants. The study used a stratified random sample that included 274 urban census tracts across 9 counties from the Chicago Metropolitan Statistical Area (MSA) and 46 suburban and 61 rural census tracts across 13 counties from a 50-mile buffer surrounding the MSA. Results showed that agreement between the field observations and the commercial business lists for the food store and restaurant outlets was generally moderate (ranging from fair to good). However, when the listed data were validated based on an exact classification match, agreement was only fair (ranging from poor to moderate) and, in particular, poor for fast food restaurants. The study also found that agreement levels for some outlet types differed by tract characteristics. Commercial databases must be used with caution as substitutes for on the ground data collection.
本研究采用实地观察和内部评估出口的方法，验证了来自两份商业名录的食品店和餐馆数据，这些数据根据出口类型进行了分类，包括超市、杂货店、便利店、全方位服务餐厅和快餐店。该研究采用了分层随机抽样方法，包括来自芝加哥都会区（MSA）的 9 个县的 274 个城市普查区，以及 MSA 周边 50 英里缓冲区的 13 个县的 46 个郊区和 61 个农村普查区。研究结果表明，实地观察和商业名录在食品店和餐馆出口方面的一致性通常为中等水平（从尚可到良好）。然而，当根据精确的分类匹配来验证上市数据时，一致性仅为尚可（从较差到中等），特别是对于快餐店而言。该研究还发现，某些出口类型的一致性水平因普查区特征而异。商业数据库必须谨慎使用，不能替代实地数据收集。
