Abstract

During foodborne illness outbreak investigations, comparing food exposure frequencies of cases to those of a control population can help identify suspect food sources. The Public Health Agency of Canada (PHAC) conducted an online survey between February and April 2015 to collect seven-day food exposures from a convenience sample. The study period overlapped with a national, population-based exposure survey being conducted via telephone using random digit dialling. A subset of the food exposure questions from the telephone-based survey was included in the online survey. The online survey study objectives were to: 1) describe the survey methodology, survey respondents and response behaviour; and 2) determine if the online methodology is an appropriate alternative to telephone surveys by comparing food exposures. The online survey link was distributed via email to employees and public health partners, and was promoted on the PHAC website and social media channels. In total 2,100 surveys were completed. The majority of respondents were female, with high income and education, aged 30 to 39 years. The proportion reporting consuming the food items in the online survey was generally higher than those reported in the telephone survey, with a mean difference of 6.0% (95% CI: 4.2, 7.8). In an outbreak investigation, the 6.0% bias could make it more difficult to detect a difference between the case and control food exposures. Nevertheless, given the speed of response and lower resource expenditure of online surveys as well as the willing, able and convenient sample, a bias of 6.0% is considered small enough to be acceptable for future surveys.

Highlights

  • During investigations of foodborne illness outbreaks, comparing frequencies of exposures of cases to those of a control population can help identify suspect food sources

  • The proportion reporting consuming the food items in the online survey was generally higher than those reported in the telephone survey, with a mean difference of 6.0%

  • In an outbreak investigation, the 6.0% bias could make it more difficult to detect a difference between the case and control food exposures

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Summary

Introduction

During investigations of foodborne illness outbreaks, comparing frequencies of exposures of cases to those of a control population can help identify suspect food sources. Using existing population-based exposure data as “control” data is a useful alternative to traditional case-control studies [1]. Online surveys require fewer resources and less time to implement than traditional telephone survey methods. They provide a faster response and greater access to harder-to-reach groups [3,4,5,6]. During foodborne illness outbreak investigations, comparing food exposure frequencies of cases to those of a control population can help identify suspect food sources.

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