Compliance Rates, Advantages, and Drawbacks of a Smartphone-Based Method of Collecting Food History and Foodborne Illness Data
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 con...
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Veröffentlicht in: | Journal of food protection 2019-06, Vol.82 (6), p.1061-1070 |
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description | 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. |
doi_str_mv | 10.4315/0362-028X.JFP-18-547 |
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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.</description><identifier>ISSN: 0362-028X</identifier><identifier>EISSN: 1944-9097</identifier><identifier>DOI: 10.4315/0362-028X.JFP-18-547</identifier><identifier>PMID: 31124717</identifier><language>eng</language><publisher>United States: Elsevier Limited</publisher><subject>Big Data ; Colleges & universities ; Compliance ; Data acquisition ; Data collection ; Diaries ; Diarrhea ; Digital imaging ; Epidemics ; Epidemiology ; Food ; Food consumption ; Food safety ; Foodborne diseases ; Gastrointestinal diseases ; Gastrointestinal symptoms ; Health surveillance ; Human behavior ; Illnesses ; Infectious diseases ; Laboratories ; Methods ; Nausea ; Public health ; Researchers ; Smartphones ; Social networks ; Studies ; Vegetarianism ; Vomiting</subject><ispartof>Journal of food protection, 2019-06, Vol.82 (6), p.1061-1070</ispartof><rights>Copyright ©, International Association for Food Protection.</rights><rights>Copyright Allen Press Publishing Services Jun 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-45e46d34a52a034739ff3ae5f2470eccfddbf9f8e036cfb5783cc7bf2af34f3a3</citedby><cites>FETCH-LOGICAL-c381t-45e46d34a52a034739ff3ae5f2470eccfddbf9f8e036cfb5783cc7bf2af34f3a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31124717$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Seitzinger, Patrick</creatorcontrib><creatorcontrib>Osgood, Nathaniel</creatorcontrib><creatorcontrib>Martin, Wanda</creatorcontrib><creatorcontrib>Tataryn, Joanne</creatorcontrib><creatorcontrib>Waldner, Cheryl</creatorcontrib><title>Compliance Rates, Advantages, and Drawbacks of a Smartphone-Based Method of Collecting Food History and Foodborne Illness Data</title><title>Journal of food protection</title><addtitle>J Food Prot</addtitle><description>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.</description><subject>Big Data</subject><subject>Colleges & universities</subject><subject>Compliance</subject><subject>Data acquisition</subject><subject>Data collection</subject><subject>Diaries</subject><subject>Diarrhea</subject><subject>Digital imaging</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Food</subject><subject>Food consumption</subject><subject>Food safety</subject><subject>Foodborne diseases</subject><subject>Gastrointestinal diseases</subject><subject>Gastrointestinal symptoms</subject><subject>Health surveillance</subject><subject>Human behavior</subject><subject>Illnesses</subject><subject>Infectious diseases</subject><subject>Laboratories</subject><subject>Methods</subject><subject>Nausea</subject><subject>Public health</subject><subject>Researchers</subject><subject>Smartphones</subject><subject>Social 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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.</abstract><cop>United States</cop><pub>Elsevier Limited</pub><pmid>31124717</pmid><doi>10.4315/0362-028X.JFP-18-547</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Big Data Colleges & universities Compliance Data acquisition Data collection Diaries Diarrhea Digital imaging Epidemics Epidemiology Food Food consumption Food safety Foodborne diseases Gastrointestinal diseases Gastrointestinal symptoms Health surveillance Human behavior Illnesses Infectious diseases Laboratories Methods Nausea Public health Researchers Smartphones Social networks Studies Vegetarianism Vomiting |
title | Compliance Rates, Advantages, and Drawbacks of a Smartphone-Based Method of Collecting Food History and Foodborne Illness Data |
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