Compliance Rates, Advantages, and Drawbacks of a Smartphone-Based Method of Collecting Food History and Foodborne Illness Data

Author:

SEITZINGER PATRICK1,OSGOOD NATHANIEL2,MARTIN WANDA3,TATARYN JOANNE4,WALDNER CHERYL5

Affiliation:

1. Northern Medical Program, Faculty of Medicine, University of British Columbia, Prince George, British Columbia, Canada V2N 4Z9

2. Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5B4

3. College of Nursing, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5B4

4. Centre for Food-borne, Environmental and Zoonotic Infectious Diseases (CFEZID), Infectious Disease Prevention and Control Branch, Public Health Agency of Canada, Saskatoon, Saskatchewan, Canada S7N 5B4

5. Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5B4

Abstract

ABSTRACT The collection of comprehensive data on both food exposure history and gastrointestinal symptoms associated with foodborne illness is typically challenging because of poor compliance with data collection methods. Smartphone technology provides a convenient tool with which to collect data on food consumption behavior and foodborne illness. Ethica, a smartphone-based application used to acquire, store, and analyze data on human behavior, was evaluated as a potential supplement to current data collection strategies. The purpose of this study was to assess the compliance rates, advantages, and drawbacks of a smartphone-based method of collecting food history and foodborne illness data from a sample of volunteers. Through a combination of user-triggered and prompted microsurveys, meal descriptions, and photo food diaries, the food consumption behavior of 96 university students was investigated over a period of 10 weeks. During the first 10 days of the study, 95% of participants used the time-triggered microsurveys and 51% of participants used the digital image features of the app to report food consumption history at least twice per day. Approximately 34% of participants used at least one of the reporting features to report at least one episode of vomiting or nausea during this period, and 29% reported at least one episode of diarrhea; only 7% sought medical care. The smartphone-based method of data collection used in this study allowed capture of uniquely detailed food history data and data on gastrointestinal symptoms associated with foodborne illness that were not reported to medical practitioners and public health. This enhanced ability to gather in-depth information from sentinel and at-risk target populations could support foodborne illness surveillance. Compliance rates, advantages, and limitations discussed in this study can guide the development of future data collection strategies. HIGHLIGHTS

Publisher

International Association for Food Protection

Subject

Microbiology,Food Science

Reference24 articles.

1. Feasibility testing of an automated image-capture method to aid dietary recall;Arab;Eur. J. Clin. Nutr,2011

2. Digital disease detection—harnessing the Web for public health surveillance;Brownstein;N. Engl. J. Med,2009

3. Difficulty accessing health care services in Canada;Clarke,2016

4. Sensor, a population-based cohort study on gastroenteritis in the Netherlands: incidence and etiology;De Wit;Am. J. Epidemiol,2001

5. Dohoo, I. R., W.Martin, and H.Stryhn. 2003. Veterinary epidemiologic research. University of Prince Edward Island, Charlottetown. Available at: https://primo-pmtna02.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=USaskIII.b23086774&context=L&vid=USASK&search_scope=UofS&isFrbr=true&tab=default_tab&lang=en_US. Accessed 20 February 2019.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3