Document Detail

Using a theoretical predictive tool for the analysis of recent health department inspections at outbreak restaurants and relation of this information to foodborne illness likelihood.
MedLine Citation:
PMID:  23127711     Owner:  NLM     Status:  In-Data-Review    
Because U.S. restaurants are inspected at least annually against criteria in the U.S. Food and Drug Administration Model Food Code, large amounts of data are generated and should be systematically reviewed. The purpose of this study was to determine the relationships among the data obtained through health department inspections, the contributing factors to foodborne illness identified by the Centers for Disease Control and Prevention, and the risks of outbreaks of norovirus, Salmonella, and Clostridium perfringens infection associated with a specific restaurant. These agents were chosen for the analysis because they cause the majority of foodborne illnesses. A theoretical predictive assessment tool was built that extracts data from routine health department inspection reports for specific restaurants to establish a risk profile for each restaurant and identify the likelihood of a norovirus, Salmonella, or C. perfringens outbreak at that restaurant. The tool was used to examine inspection reports from restaurants known to have had confirmed norovirus, Salmonella, and C. perfringens outbreaks. Although evaluation of an extensive data set revealed lack of an overall association between outbreak inspection scores and routine inspection scores obtained at outbreak restaurant locations, certain specific violations were significantly more likely to be recorded. Significant differences in types of violations recorded during outbreak and routine inspections were determined. When risks based on violation type can be identified, targeted actions may be able to be prioritized and implemented to help decrease illnesses.
Ruth L Petran; Bruce W White; Craig W Hedberg
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of food protection     Volume:  75     ISSN:  1944-9097     ISO Abbreviation:  J. Food Prot.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703944     Medline TA:  J Food Prot     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2016-27     Citation Subset:  IM    
Ecolab, 655 Lone Oak Drive, Eagan, Minnesota 55121, USA.
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