Abstract:The World Health Organization estimates that up to 30% of individuals in developed countries become ill from food or water each year. Up to 70% of these illnesses are estimated to be linked to food prepared at foodservice establishments. Consumer confidence in the safety of food prepared in restaurants is fragile, varying significantly from year to year, with many consumers attributing foodborne illness to foodservice. One of the key drivers of restaurant choice is consumer perception of the hygiene of a resta… Show more
“…If this is true, it also draws into question the benefits of posting health inspections data if it cannot be guaranteed that all facilities are being inspected without bias or subjectivity. It has been reported that consumers desire both health inspection and hygiene information for food service facilities, and it has an effect on their food service choices (6,10). Assuming this is the case, then the data presented here support the position that there is a need for greater standardization and guarantee of objective results when making inspection information available to consumers (10).…”
Section: Discussionsupporting
confidence: 84%
“…We believe these results provide quantitative data to support previous qualitative research, indicating that biases do occur during inspections (18). To this end, our data raise interesting questions regarding the value of releasing food inspection results to the public, who could use it as a guide to assure that they are choosing ''safe'' establishments, another issue that has recently been raised in the literature (10).…”
Research shows that community socioeconomic status (SES) predicts, based on food service types available, whether a population has access to healthy food. It is not known, however, if a relationship exists between SES and risk for foodborne illness (FBI) at the community level. Geographic information systems (GIS) give researchers the ability to pinpoint health indicators to specific geographic locations and detect resulting environmental gradients. It has been used extensively to characterize the food environment, with respect to access to healthy foods. This research investigated the utility of GIS in determining whether community SES and/or demographics relate to access to safe food, as measured by food service critical health code violations (CHV) as a proxy for risk for FBI. Health inspection records documenting CHV for 10,859 food service facilities collected between 2005 and 2008 in Philadelphia, PA, were accessed. Using an overlay analysis through GIS, CHV were plotted over census tracts of the corresponding area. Census tracts (n = 368) were categorized into quintiles, based on poverty level. Overall, food service facilities in higher poverty areas had a greater number of facilities (with at least one CHV) and had more frequent inspections than facilities in lower poverty areas. The facilities in lower poverty areas, however, had a higher average number of CHV per inspection. Analysis of CHV rates in census tracts with high concentrations of minority populations found Hispanic facilities had more CHV than other demographics, and Hispanic and African American facilities had fewer days between inspections. This research demonstrates the potential for utilization of GIS mapping for tracking risks for FBI. Conversely, it sheds light on the subjective nature of health inspections, and indicates that underlying factors might be affecting inspection frequency and identification of CHV, such that CHV might not be a true proxy for risk for FBI.
“…If this is true, it also draws into question the benefits of posting health inspections data if it cannot be guaranteed that all facilities are being inspected without bias or subjectivity. It has been reported that consumers desire both health inspection and hygiene information for food service facilities, and it has an effect on their food service choices (6,10). Assuming this is the case, then the data presented here support the position that there is a need for greater standardization and guarantee of objective results when making inspection information available to consumers (10).…”
Section: Discussionsupporting
confidence: 84%
“…We believe these results provide quantitative data to support previous qualitative research, indicating that biases do occur during inspections (18). To this end, our data raise interesting questions regarding the value of releasing food inspection results to the public, who could use it as a guide to assure that they are choosing ''safe'' establishments, another issue that has recently been raised in the literature (10).…”
Research shows that community socioeconomic status (SES) predicts, based on food service types available, whether a population has access to healthy food. It is not known, however, if a relationship exists between SES and risk for foodborne illness (FBI) at the community level. Geographic information systems (GIS) give researchers the ability to pinpoint health indicators to specific geographic locations and detect resulting environmental gradients. It has been used extensively to characterize the food environment, with respect to access to healthy foods. This research investigated the utility of GIS in determining whether community SES and/or demographics relate to access to safe food, as measured by food service critical health code violations (CHV) as a proxy for risk for FBI. Health inspection records documenting CHV for 10,859 food service facilities collected between 2005 and 2008 in Philadelphia, PA, were accessed. Using an overlay analysis through GIS, CHV were plotted over census tracts of the corresponding area. Census tracts (n = 368) were categorized into quintiles, based on poverty level. Overall, food service facilities in higher poverty areas had a greater number of facilities (with at least one CHV) and had more frequent inspections than facilities in lower poverty areas. The facilities in lower poverty areas, however, had a higher average number of CHV per inspection. Analysis of CHV rates in census tracts with high concentrations of minority populations found Hispanic facilities had more CHV than other demographics, and Hispanic and African American facilities had fewer days between inspections. This research demonstrates the potential for utilization of GIS mapping for tracking risks for FBI. Conversely, it sheds light on the subjective nature of health inspections, and indicates that underlying factors might be affecting inspection frequency and identification of CHV, such that CHV might not be a true proxy for risk for FBI.
“…The openness and transparency provides a framework to increase optimistic trust and potentially reduce mistrust (de Jonge et al, 2008). Restaurants with strong food safety cultures are already able to do this through the restaurant inspection disclosure systems established in a number of locations around the world (Filion & Powell, 2009). A turkey processing plant in South Dakota constantly monitors its operations with by video cameras that can be accessed by auditors or USDA inspectors at any time (Keen, 2006).…”
“…While important it is extremely difficult to link it to the prevalence and use of posted inspection grades. Indeed, the correlation between inspection scores and foodborne disease outbreaks is inconsistent (Filion and Powell 2009) and empirically hard to identify. It relies entirely on restaurant patrons correctly identifying the foodborne illness and attributing its source, which is difficult to do for a number of reasons (duration of latency, expectations about food safety, proclivities towards gastrointestinal symptoms) (Jones and Angulo 2006;Mead et.…”
Section: B Empirical Literature Reviewmentioning
confidence: 99%
“…Municipalities across the U.S. grade the performance of public schools, street cleanliness is frequently scored and graded, and the Straphangers Campaign in New York City even produces a "report card" ranking the performance of each subway train line. One of the more recent grading initiatives applies to restaurants' food safety compliance, a policy that has taken hold in cities across the globe (Filion and Powell 2009).…”
Grading schemes are an increasingly common method of quality disclosure for public services. Restaurant grading makes information about food safety practices more readily available and may reduce the prevalence of foodborne illnesses. However, it may also have meaningful financial repercussions. Using fine-grained administrative data that tracks food safety compliance and sales activity for the universe of graded restaurants in New York City and its bordering counties, we assess the aggregate financial effects from restaurant grading. Results indicate that the grading policy, after an initial period of adjustment, improves restaurants' food safety compliance and reduces fines. While the average effect on revenues for graded restaurants across the municipality is null, the graded restaurants located geographically closer to an ungraded regime experience slower growth in revenues. There is also evidence of revenue convergence across graded and ungraded restaurants in the long-term. JEL No. D12, H22, H27
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