A step-by-step approach to improve data quality when using commercial business lists to characterize retail food environments
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- 作者：Kelly K. Jones ; Shannon N. Zenk ; Elizabeth Tarlov ; Lisa M. Powell…
- 关键词：Business lists ; InfoUSA ; Dun and Bradstreet ; Neighborhood food environment
- 刊名：BMC Research Notes
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：10
- 期：1
- 全文大小：973KB
- 刊物主题：Biomedicine, general; Medicine/Public Health, general; Life Sciences, general;
- 出版者：BioMed Central
- ISSN：1756-0500
- 卷排序：10
文摘
BackgroundFood environment characterization in health studies often requires data on the location of food stores and restaurants. While commercial business lists are commonly used as data sources for such studies, current literature provides little guidance on how to use validation study results to make decisions on which commercial business list to use and how to maximize the accuracy of those lists. Using data from a retrospective cohort study [Weight And Veterans’ Environments Study (WAVES)], we (a) explain how validity and bias information from existing validation studies (count accuracy, classification accuracy, locational accuracy, as well as potential bias by neighborhood racial/ethnic composition, economic characteristics, and urbanicity) were used to determine which commercial business listing to purchase for retail food outlet data and (b) describe the methods used to maximize the quality of the data and results of this approach.