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Journal of Food Protection 87 (2024) 100293
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Contents lists available at ScienceDirect
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Journal of Food Protection
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ELSEVIE
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Protecting the Global Food Supply
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journal homepage: www.elsevier.com/locate/jfp
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Research Paper
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Environmental Antecedents of Foodborne Illness Outbreaks, United States, ®
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Check for
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2017-2019 —
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Meghan M. Holst’, Sabrina Salinas *, Waimon T. Tellier °, Beth C. Wittry '
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1 Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Highway, Atlanta, GA 30341, USA
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? Harris County Public Health, Environmental Public Health, 1111 Fannin Street, Houston 77002, USA
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3 Washington State Department of Health, Office of Communicable Disease Epidemiology, 1610 NE 150th Street, Shoreline, WA 98155, USA
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ARTICLE INFO ABSTRACT
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Keywords:
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Environmental antecedents
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Foodborne outbreak investigations often provide data for public health officials to determine how the environ-
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ment contributed to the outbreak and on how to prevent future outbreaks. State and local health departments
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are responsible for investigating foodborne illness outbreaks in their jurisdictions and reporting the data to
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national-level surveillance systems, including information from the environmental assessment. This assessment
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is designed to describe how the environment contributed to the outbreak and identifies factors that contributed
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to the outbreak and environmental antecedents to the outbreak. Environmental antecedents, also referred to as
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root causes, are specific reasons that allow biological or chemical agents to contaminate, survive, or grow in
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food. From 2017 to 2019, 24 jurisdictions reported 1,430 antecedents from 393 outbreaks to the National
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Environmental Assessment Reporting System. The most reported antecedents were lack of oversight of employ-
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ees/enforcement of policies (89.1%), lack of training of employees on specific processes (74.0%), and lack of a
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food safety culture/attitude towards food safety (57.5%). These findings highlight the critical role that employ-
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ees play in restaurant food safety and are heavily influenced by restaurant management, who can exercise
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active managerial control to manage these antecedents. Identifying antecedents during investigations is essen-
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tial for understanding the outbreak’s root cause and implementing sustainable corrective actions to stop the
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Environmental assessment
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Environmental health
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Foodborne illness outbreak
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Illness prevention
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Root cause
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immediate outbreak and future outbreaks.
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The Centers for Disease Control and Prevention (CDC) estimates
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that around 48 million foodborne illnesses occur each year in the Uni-
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ted States. This number includes 128,000 hospitalizations and 3,000
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deaths (Scallan et al., 2011). Illnesses associated with outbreaks
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account for a small portion of the annual foodborne illness incidence
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(Dewey-Mattia et al., 2018). However, data from foodborne outbreak
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investigations can provide detailed information that helps determine
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how the environment contributes to outbreaks. That information can
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be used to prevent future outbreaks (Dewey-Mattia et al., 2018). The
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lessons we learn from outbreak investigations can also be used to pre-
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vent sporadic cases of foodborne illnesses.
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State and local health departments are responsible for investigat-
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ing foodborne illness outbreaks and reporting the data to national-
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level surveillance systems managed by the CDC. CDC aggregates
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these data to detect national trends and identify systematic food
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safety issues. The National Environmental Assessment Reporting Sys-
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tem (NEARS) is a CDC surveillance system through which some state
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and local health departments voluntarily report data from their
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* Corresponding author.
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E-mail address: ows6@cdc.gov (M.M. Holst).
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https://doi.org/10.1016/j.jfp.2024.100293
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Received 7 March 2024; Accepted 30 April 2024
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Available online 6 May 2024
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investigations of foodborne illness outbreaks at retail food establish-
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ments (Centers for Disease Control and Prevention, 2022b). Specifi-
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cally, they report data from the environmental health component
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of the investigation, typically called the environmental assessment.
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The assessment is designed to describe how the outbreak environ-
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ment contributed to the introduction or transmission of the agent
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that caused the outbreak (Centers for Disease Control and
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Prevention, 2022c). NEARS collects two key sets of environmental
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assessment data about the outbreak (Freeland et al., 2019; Moritz
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et al., 2023).
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The first set is outbreak contributing factors—the practices that
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most likely led to contamination, proliferation, or survival of agents
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in the environment (Centers for Disease Control and Prevention,
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2023). The second set is environmental antecedents, hereafter referred
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to as antecedents, of the outbreak. Antecedents are the circumstances
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and situations that led to the contributing factors. For example, an
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investigation may identify the contributing factor to a norovirus out-
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break as contamination of food by an ill employee, and the antecedent
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0362-028X/Published by Elsevier Inc. on behalf of International Association for Food Protection.
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This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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M.M. Holst et al.
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as insufficient staffing, which led to the employee not being allowed to
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stay home while ill.
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Identifying the contributing factors and antecedents is essential to
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understanding the outbreak’s root cause and implementing sustainable
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corrective actions to stop the outbreak and future outbreaks (Firestone
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et al., 2018). Collecting and analyzing these data at a national level are
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essential for informing efforts to prevent future outbreaks in retail
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environments across the country. The data can be used to inform
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national food safety policy and training focused on reducing contribut-
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ing factors and antecedents (Centers for Disease Control and
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Prevention, 2022a; Matis et al., 2017; Wittry et al., 2022). To con-
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tribute to these goals, the current study presents data on the contribut-
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ing factors and antecedents for outbreaks reported to NEARS from
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2017 to 2019.
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Materials and Methods
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Between 2017 and 2019, state and local health departments
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reported data to NEARS from 799 outbreak investigations with a sus-
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pected or confirmed foodborne agent. CDC defines a foodborne illness
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outbreak as an incident in which two or more people experience a sim-
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ilar illness resulting from the ingestion of a common food (Centers for
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Disease Control and Prevention, 2015). The dataset for this paper is
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limited to the 393 outbreaks that had at least one reported antecedent.
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The outbreaks occurred in Alaska, California, Connecticut, Delaware,
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Fairfax County (VA), Georgia, Harris County (TX), Indiana, Iowa, Jef-
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ferson County (CO), Maricopa County (AZ), Massachusetts, Michigan,
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Minnesota, New York City, New York State, North Carolina, Oregon,
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Rhode Island, South Carolina, the Southern Nevada Health District,
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Tennessee, Washington, and Wisconsin.
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Investigators conducting environmental assessments for outbreaks
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in retail food establishments engage in a variety of data collection
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activities. These include kitchen observations, reviews of records,
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and staff interviews. Data from these activities, along with data
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obtained from epidemiological and laboratory investigations, are
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reported to NEARS (Lipcsei et al., 2019; Moritz et al., 2023). Addition-
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ally, investigators report any contributing factors or antecedents they
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identified during their outbreak investigation. The identification is
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based on their review of the totality of the data collected during the
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observation and their professional judgment and experience. Investi-
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gators select contributing factors from a predetermined list of 32 con-
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tributing factors. The list of factors is derived from an analysis of
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historical data from outbreak investigations (Bryan, 1978; Weingold
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et al., 1994). The investigators also select antecedents from a list of
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17 potential antecedents and an option to write in an ‘other’ response.
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This list was developed by food safety experts using the food system
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environmental antecedent conceptual model (Selman & Guzewich,
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2014). The model theorizes that there are five main groups of environ-
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mental antecedents that influence food safety in establishments. The
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groups are people (behaviors, characteristics, and attitudes of people
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working in the establishments); processes (characteristics of the pro-
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cesses used to prepare food and food preparation complexity); eco-
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nomics (costs and profit margins); equipment (the physical layout and
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equipment of establishments); and food (the inherent qualities of food
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prepared in establishments). Investigators can report multiple con-
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tributing factors and antecedents for each outbreak.
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We created the dataset for this study with SAS 9.3 statistical soft-
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ware (SAS Institute, Cary, NC), then used Microsoft Excel to conduct
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descriptive analyses on the data. The analyses focused on outbreak eti-
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ologic agents, contributing factors, and antecedents. Additionally, to
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better understand how outbreak antecedents vary by etiologic agent
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and contributing factor, we disaggregated the antecedent data by the
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most common etiologic agents and contributing factors. We also disag-
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gregated the antecedent data on the most common outbreak etiologic
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agents, contributing factors, and year.
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Journal of Food Protection 87 (2024) 100293
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Results
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Outbreak characteristics. Of the 393 foodborne outbreaks
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included in this analysis, 79.1% (311) had an identified agent. Over
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70% (72.7% [226]) of these outbreaks with an identified agent had
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a confirmed etiologic agent and the remaining outbreaks (27.3%
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[85]) had a suspected etiologic agent. The most common agents were
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norovirus (39.7%), Salmonella (13.5%), and Clostridium perfringens
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(6.4%) (Table 1). Investigations did not identify an etiologic agent in
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20.9% (82) of outbreaks. The most commonly identified contributing
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factors fell into the contamination category: other mode of contamina-
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tion by a suspected infectious worker (24.4%), cross-contamination of
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ingredients (14.2%), and bare-hand contact by a suspected infectious
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worker (14.2%) (Table 2).
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Outbreak antecedents. Investigators identified 1,430 antecedents
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associated with the 393 outbreaks. The majority of identified antece-
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dents fell into the people category (67.4%), followed by the process
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(13.4%), equipment (8.7%), economics (5.9%), other (i.e., antecedents
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that do not fall into existing categories) (3.3%), and food (1.3%) cate-
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gories (Table 3).
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The top three antecedents fell into the people category: lack of
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oversight of employees (89.1%), lack of training of employees on
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specific processes (74.0%), and lack of food safety (57.5%) (Table 3).
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The next two most common antecedents fell into the process category:
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staff not following the facility’s processes (24.9%) and insufficient pro-
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cess to mitigate hazard (23.9%).
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Outbreak antecedents by etiologic agent. The three most com-
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mon etiologic agents were the virus norovirus, and the bacteria Sal-
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monella and Clostridium perfringens. The three most common
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antecedents for all three types of outbreaks were people antecedents:
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lack of oversight of employees (78.8%, 60.4%, 48.0%, respectively),
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lack of training of employees (51.3%, 54.7%, and 56.0%, respec-
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tively), and lack of food safety culture (39.1%, 52.8%, and 36.0%,
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respectively) (Table 4). However, the antecedent of lack of oversight
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of employees was identified far more often for norovirus outbreaks
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than for the bacterial outbreaks (78.8% vs 60.4%, 48.0%). Addition-
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Table 1
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Foodborne outbreak etiologic agents—National Environmental Assessment
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Reporting System, 2017-2029
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Agent* n % of
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outbreaks”
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(n = 393)
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Virus
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Norovirus 156 39.7
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Hepatitis A 2 0.5
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Bacteria
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Salmonella species 53 13.5
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Vibrio species 10 2.5
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Clostridium perfringens 25 6.4
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Campylobacter species 14 3.6
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Escherichia coli, 0157: H7 5 1.3
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Escherichia coli, other Shiga toxin—-producing or 7 1.8
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verotoxin-producing
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Shigella species 5 1.3
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Bacillus cereus 7 1.8
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Staphylococcus aureus 2 0.5
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Parasite — Cyclospora cayetanensis 8 2.0
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Toxic agent 9 2.3
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Chemical agent 2 0.5
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Other agent 7 1.8
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Unknown agent 82 20.9
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Total 394 100.4
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* More than one agent can be reported per outbreak.
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> The denominator is the number of outbreaks that identified an environ-
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mental antecedent.
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M.M. Holst et al.
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Table 2
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Foodborne outbreak contributing factors, National Environmental Assessment
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Reporting System, 2017-2019
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Journal of Food Protection 87 (2024) 100293
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Table 3
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Foodborne outbreak environmental antecedents, National Environmental
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Assessment Reporting System, 2017-2019
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n % of
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outbreaks”
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(n = 393)
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Contamination of food with a foodborne illness agent*
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Toxic substance part of the tissue 12 3.1
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Poisonous substance intentionally/deliberately added 0 0.0
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Poisonous substance accidentally/inadvertently added 3 0.8
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Addition of excessive quantities of ingredients that are toxic 1 0.3
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in large amounts
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Toxic container 0 0.0
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Contaminated raw product—food was intended to be 20 5.1
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consumed after a kill step
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Contaminated raw product—food was intended to be 32 8.1
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consumed raw or undercooked/underprocessed
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Foods originating from sources shown to be contaminated or 2 0.5
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polluted
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Cross-contamination of ingredients 56 14.2
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Bare-hand contact by a food worker who is suspected tobe 56 14.2
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infectious
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Glove-hand contact by a food worker who is suspected to be 23 5.9
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infectious
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Other mode of contamination (excluding cross- 96 24.4
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contamination) by a food worker who is suspected to be
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infectious
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Foods contaminated by non-food worker who is suspected to 8 2.0
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be infectious
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Storage in contaminated environment 7 1.8
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Other source of contamination 28 7.1
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Proliferation or growth of microbial agents in food
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(increase in number of bacteria or the production of
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toxins)"
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Food preparation practices that support proliferation of 25 6.4
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pathogens
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No attempt was made to control the temperature of 15 3.8
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implicated food or the length of time food was out of
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temperature control
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Improper adherence of approved plan to use time asa public 12 3.1
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health control
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Improper cold holding due to malfunctioning refrigeration 20 5.1
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equipment
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Improper cold holding due to an improper procedure or 15 3.8
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protocol
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Improper hot holding due to malfunctioning equipment 1 0.3
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Improper hot holding due to improper procedure or protocol 15 3.8
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Improper/slow cooling 40 10.2
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Prolonged cold storage 3 0.8
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Inadequate modified atmosphere packaging 0 0.0
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Inadequate processing 10) 0.0
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Other situations that promote or allow microbial growth or 6 1.5
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toxin production
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Survival of foodborne illness agents after a process, such
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as cooking, that should have eliminated or reduced
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them*
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Insufficient time and/or temperature during cooking/heat 24 6.1
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processing
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Insufficient time and/or temperature during reheating 9 2.3
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Insufficient time and/or temperature control during freezing 0 0.0
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Insufficient or improper use of chemical processes designed 1 0.3
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for pathogen destruction
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Other process failures that permit the pathogen to survive 7 1.8
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* More than one contributing factor can be reported per outbreak.
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> The denominator is the number of outbreaks that identified a contributing
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factor.
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ally, lack of food safety culture was identified more often for Sal-
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monella than for Clostridium perfringens (52.8% vs. 36.0%).
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All three types of outbreaks had equipment antecedents identified,
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but again, the proportion differed by etiologic agent. More often, the
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two types of bacterial outbreaks, compared to norovirus outbreaks,
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had improperly used equipment identified as an antecedent (9.4%
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and 12.0% vs. 1.3%) (Table 4). Similarly, more often Clostridium per-
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Antecedents* n % of % of
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antecedents’ Outbreaks‘
|
|||
|
(n = 1,430) (n = 393)
|
|||
|
People (n = 964)
|
|||
|
Lack of oversight of employees/ 350 24.5 89.1
|
|||
|
enforcement of policies
|
|||
|
Lack of training of employees on specific 291 20.3 74.0
|
|||
|
processes
|
|||
|
Lack of a food safety culture/attitude 226 15.8 57.5
|
|||
|
towards food safety
|
|||
|
Low/insufficient staffing 38 2.7 9.7
|
|||
|
High turnover of employees or 31 2.2 7.9
|
|||
|
management
|
|||
|
Language barrier between management 28 2.0 7.1
|
|||
|
|
|||
|
|
|||
|
and employees
|
|||
|
|
|||
|
|
|||
|
Equipment (n = 124)
|
|||
|
|
|||
|
|
|||
|
Equipment is improperly used 35 2.4 8.9
|
|||
|
|
|||
|
Insufficient capacity of equipment 36 2.5 9.2
|
|||
|
|
|||
|
Poor facility layout 24 1.7 6.1
|
|||
|
|
|||
|
Lack of preventative maintenance on 15 1.0 3.8
|
|||
|
equipment
|
|||
|
|
|||
|
Improperly sized or installed equipment 14 1.0 3.6
|
|||
|
|
|||
|
|
|||
|
for the facility
|
|||
|
|
|||
|
|
|||
|
Economics (n = 85)
|
|||
|
|
|||
|
|
|||
|
Lack of sick leave or other financial 68 4.7 17.3
|
|||
|
incentives to adhere to good practices
|
|||
|
|
|||
|
Lack of needed supplies for the operation 11 0.8 2.8
|
|||
|
of the restaurant
|
|||
|
|
|||
|
Lack of reinvestment in the restaurant 6 0.4 1.5
|
|||
|
|
|||
|
|
|||
|
Process (n = 192)
|
|||
|
|
|||
|
|
|||
|
Employees or managers are not following 98 6.8 24.9
|
|||
|
the facility's process
|
|||
|
|
|||
|
Insufficient process to mitigate the 94 6.6 23.9
|
|||
|
hazard
|
|||
|
|
|||
|
|
|||
|
Food (n = 18)
|
|||
|
Food not treated as time and temperature 18 1.3 4.6
|
|||
|
control for safety
|
|||
|
|
|||
|
|
|||
|
Other (n = 47) 47 3.3 12.0
|
|||
|
|
|||
|
|
|||
|
Total 1430 100.0 --
|
|||
|
|
|||
|
|
|||
|
* Outbreaks could have more than 1 environmental antecedent.
|
|||
|
|
|||
|
> The denominator is the number of environmental antecedents reported for
|
|||
|
all outbreaks that reported at least one environmental antecedent.
|
|||
|
|
|||
|
© The denominator is the number of outbreaks that reported an environ-
|
|||
|
mental antecedent.
|
|||
|
|
|||
|
|
|||
|
fringens outbreaks, compared to norovirus outbreaks, had insufficient
|
|||
|
equipment capacity identified as an antecedent (28.0% vs. 3.2%).
|
|||
|
Lack of sick leave was identified as an antecedent for all three types
|
|||
|
of outbreaks but was more often identified for norovirus outbreaks
|
|||
|
than for the two types of bacterial outbreaks (26.3% vs. 9.4% and
|
|||
|
4.0%) (Table 4). On the other hand, insufficient process to mitigate
|
|||
|
hazards was identified more often for the two types of bacterial out-
|
|||
|
breaks than for norovirus outbreaks (22.6% and 36.0% vs. 8.3%).
|
|||
|
Outbreak antecedents by contributing factors. The three most
|
|||
|
common contributing factors fell into the contamination category—
|
|||
|
other mode of contamination by a suspected infectious worker,
|
|||
|
cross-contamination of ingredients, and bare-hand contact by a sus-
|
|||
|
pected infectious worker (Table 5). The three most common antece-
|
|||
|
dents for the top three contributing factors were the people
|
|||
|
antecedents of lack of oversight of employees (79.2%, 71.4%,
|
|||
|
76.8%, respectively), lack of training of employees (51.0%, 62.5%,
|
|||
|
and 66.1%), and lack of food safety culture (31.3%, 55.4%, 53.6%).
|
|||
|
However, the two antecedents of lack of employee training and lack
|
|||
|
of food safety culture were identified more often for the contributing
|
|||
|
factors of cross-contamination of ingredients and bare-hand contact
|
|||
|
|
|||
|
|
|||
|
M.M. Holst et al.
|
|||
|
|
|||
|
|
|||
|
Journal of Food Protection 87 (2024) 100293
|
|||
|
|
|||
|
|
|||
|
Table 4
|
|||
|
Foodborne outbreak environmental antecedents by etiologic agent, National Environmental Assessment Reporting System, 2017-2019*
|
|||
|
Antecedent Norovirus Salmonella Clostridium perfringens
|
|||
|
n % of outbreaks” n % of outbreaks” n % of outbreaks”
|
|||
|
(n = 156) (nm = 53) (n = 25)
|
|||
|
People
|
|||
|
Lack of training of employees on specific processes 80 51.3 29 54.7 14 56.0
|
|||
|
Lack of oversight of employees/ enforcement of policies 123 78.8 32 60.4 12 48.0
|
|||
|
High turnover of employees or management 7 45 4 7.5 0 0.0
|
|||
|
Low/insufficient staffing 22 14.1 2 3.8 1 4.0
|
|||
|
Lack of a food safety culture/ attitude towards food safety 61 39.1 28 52.8 9 36.0
|
|||
|
Language barrier between management and employees 3 1.9 3 5.7 1 4.0
|
|||
|
Equipment
|
|||
|
Insufficient capacity of equipment (not enough equipment for the 5 3.2 4 7.5 7 28.0
|
|||
|
processes)
|
|||
|
Equipment is improperly used 2 1.3 5 9.4 3 12.0
|
|||
|
Lack of preventative maintenance on equipment 1 0.6 4 7.5 1 4.0
|
|||
|
Improperly sized or installed equipment for the facility 4 2.6 2 3.8 0 0.0
|
|||
|
Poor facility layout 5 3.2 7. 13.2 1 4.0
|
|||
|
Economics
|
|||
|
Lack of reinvestment in the restaurant 0 0.0 2 3.8 2 8.0
|
|||
|
Lack of sick leave or other financial incentives to adhere to good 41 26.3 5 9.4 1 4.0
|
|||
|
practices
|
|||
|
Lack of needed supplies for the operation of the restaurant 4 2.6 1 1.9 1 4.0
|
|||
|
Process
|
|||
|
Insufficient process to mitigate the hazard 13 8.3 12 22.6 9 36.0
|
|||
|
Employees or managers are not following the facility’s process 41 26.3 12 22.6 5 20.0
|
|||
|
Food
|
|||
|
Food not treated as time and temperature control for safety 0 0.0 3 5.7 2 8.0
|
|||
|
Other 13 8.3 4 7.5 4 16.0
|
|||
|
Total 425 - 159 — 73 =
|
|||
|
|
|||
|
|
|||
|
* Outbreaks could have more than 1 agent and environmental antecedent.
|
|||
|
|
|||
|
|
|||
|
> The denominator is the number of outbreaks that reported the agent (confirmed or suspected).
|
|||
|
|
|||
|
|
|||
|
by a suspected infectious worker than for other mode of contamination
|
|||
|
by a suspected infectious worker (62.5%, 66.1% vs. 51.0%; 55.4% and
|
|||
|
53.6% vs. 31.3%).
|
|||
|
|
|||
|
The equipment antecedent of poor facility layout was identified
|
|||
|
more often for cross-contamination of ingredients than for the two
|
|||
|
contributing factors associated with suspected infectious workers
|
|||
|
(12.5% vs. 4.2% and 1.8%) (Table 5). On the other hand, the eco-
|
|||
|
nomics antecedent of lack of sick leave was more often identified for
|
|||
|
the two contributing factors of suspected infectious worker than for
|
|||
|
cross- contamination of ingredients (30.2% and 25.0%, vs. 5.4%). Sim-
|
|||
|
ilarly, the people antecedent of low or insufficient staffing was identi-
|
|||
|
fied more often for bare-hand contact by a suspected infectious worker
|
|||
|
than for cross contamination of ingredients (14.3% vs. 5.4%).
|
|||
|
|
|||
|
Variation by year. Norovirus and Clostridium perfringens outbreaks
|
|||
|
slightly decreased over time (54.5%, 48.7%, and 48.7%; 9.1%, 8.4%,
|
|||
|
and 7.0%), while Salmonella outbreaks increased slightly (15.6%,
|
|||
|
17.6%, and 17.4%) (Table 6). The contributing factors of other mode
|
|||
|
of contamination by a suspected infectious worker and bare-hand con-
|
|||
|
tact by a suspected infectious worker decreased over time (33.0%,
|
|||
|
22.4%, and 21.6%; and 20.5%, 13.8%, and 11.1%). Lastly, the antece-
|
|||
|
dent of lack of employee oversight increased over time (85.2%, 81.6%,
|
|||
|
and 98.7%).
|
|||
|
|
|||
|
|
|||
|
Discussion
|
|||
|
|
|||
|
|
|||
|
People, lack of oversight. The three most common outbreak ante-
|
|||
|
cedents identified by investigators were in the people category: lack of
|
|||
|
oversight of employees, lack of training of employees, and lack of food
|
|||
|
safety culture. Lack of a food safety culture is defined as the shared val-
|
|||
|
ues, beliefs and norms that affect mind-set and behavior toward food
|
|||
|
safety in an organization (Yiannis, 2009). These findings highlight
|
|||
|
|
|||
|
|
|||
|
the critical role that employees play in restaurant food safety. The
|
|||
|
most common antecedents were observed in norovirus, Salmonella,
|
|||
|
and Clostridium perfringens outbreaks, indicating that these antecedents
|
|||
|
support both viral and bacterial outbreaks. However, the antecedent of
|
|||
|
lack of oversight of employees was identified much more often (>25
|
|||
|
percentage points) for norovirus outbreaks than for the two types of
|
|||
|
bacterial outbreaks. This suggests a particularly strong association
|
|||
|
between lack of oversight of employees and norovirus outbreaks.
|
|||
|
Foodborne norovirus outbreaks are more often associated with ill
|
|||
|
employees contaminating food than are bacterial outbreaks (Hall
|
|||
|
et al., 2012). Indeed, most foodborne norovirus outbreaks are associ-
|
|||
|
ated with ill employees (Hall et al., 2012). Restaurant managers are
|
|||
|
responsible for preventing employees who are ill with foodborne ill-
|
|||
|
ness symptoms from working (Food and Drug Administration, 2022).
|
|||
|
Our data suggest that managerial failure to exclude ill employees from
|
|||
|
working is a key antecedent to norovirus outbreaks.
|
|||
|
|
|||
|
People, lack of sick leave. Similarly, lack of sick leave for employ-
|
|||
|
ees was identified as an antecedent more often for norovirus outbreaks
|
|||
|
(>18 percentage points) than for Salmonella and Clostridium perfrin-
|
|||
|
gens outbreaks. This antecedent was also identified more often for
|
|||
|
the two suspected infectious worker contributing factors. Given that
|
|||
|
ill employees are more often associated with norovirus outbreaks than
|
|||
|
with bacterial outbreaks, lack of sick leave as an antecedent to noro-
|
|||
|
virus outbreaks and to contributing factors related to ill employees is
|
|||
|
not surprising. Ill employees may not feel they can lose pay; thus, they
|
|||
|
work while ill and transmit their illness to customers through the food
|
|||
|
they contaminate. This finding is supported by other research showing
|
|||
|
that financial issues, such as lack of sick leave and loss of shifts, are
|
|||
|
cited by employees as reasons for working while ill (Carpenter et al.,
|
|||
|
2013; Sumner et al., 2011; Norton et al., 2015). Research also shows
|
|||
|
that mandated paid sick leave reduced instances of employees working
|
|||
|
while ill (Schneider, 2020). Restaurants can take other steps to man-
|
|||
|
|
|||
|
|
|||
|
M.M. Holst et al.
|
|||
|
|
|||
|
|
|||
|
Table 5
|
|||
|
|
|||
|
|
|||
|
Journal of Food Protection 87 (2024) 100293
|
|||
|
|
|||
|
|
|||
|
Foodborne outbreak environmental antecedents by contributing factor, National Environmental Assessment Reporting System, 2017-2019*
|
|||
|
|
|||
|
|
|||
|
Other mode of
|
|||
|
|
|||
|
|
|||
|
Cross-contamination of Bare-hand contact by a
|
|||
|
|
|||
|
|
|||
|
contamination by suspected ingredients suspected infectious worker
|
|||
|
infectious worker
|
|||
|
n % of outbreaks? n % of outbreaks” n %of outbreaks”
|
|||
|
(n = 96) (n = 56) (n = 56)
|
|||
|
People
|
|||
|
Lack of training of employees on specific processes 49 51.0 35 62.5 37 66.1
|
|||
|
Lack of oversight of employees/ enforcement of policies 76 79.2 40 71.4 43 76.8
|
|||
|
High turnover of employees or management 3 3.1 5 8.9 4 7.1
|
|||
|
Low/insufficient staffing 11 #115 3 5.4 8 14.3
|
|||
|
Lack of a food safety culture/ attitude towards food safety 30 31.3 31 55.4 30 53.6
|
|||
|
Language barrier between management and employees 6 6.3 4 7.1 1 1.8
|
|||
|
Equipment
|
|||
|
Insufficient capacity of equipment (not enough equipment for the 2 2A 6 10.7 2 3.6
|
|||
|
processes)
|
|||
|
Equipment is improperly used 1 1.0 5 8.9 1 1.8
|
|||
|
Lack of preventative maintenance on equipment 0 0.0 2 3.6 1 1.8
|
|||
|
Improperly sized or installed equipment for the facility 1 1.0 1 1.8 2 3.6
|
|||
|
Poor facility layout 4 4.2 7 12.5 1 1.8
|
|||
|
Economics
|
|||
|
Lack of reinvestment in the restaurant 0 0.0 2 3.6 0 0.0
|
|||
|
Lack of sick leave or other financial incentives to adhere to good 29 30.2 3 5.4 14 25.0
|
|||
|
practices
|
|||
|
Lack of needed supplies for the operation of the restaurant 0 0.0 1 1.8 3 5.4
|
|||
|
Process
|
|||
|
Insufficient process to mitigate the hazard 6 6.3 7 12.5 6 10.7
|
|||
|
Employees or managers are not following the facility’s process 30 31.3 11 19.6 10 17.9
|
|||
|
Food
|
|||
|
Food not treated as time and temperature control for safety 0 0.0 1 1.8 0 0.0
|
|||
|
Other 6 6.3 1 1.8 3 5.4
|
|||
|
Total
|
|||
|
|
|||
|
|
|||
|
* Outbreaks could have more than 1 contributing factor and environmental antecedent.
|
|||
|
|
|||
|
|
|||
|
Table 6
|
|||
|
|
|||
|
|
|||
|
Outbreak etiologic agents, contributing factors, and environmental antecedents by outbreak year, National Environmental Assessment Reporting System, 2017-2019*
|
|||
|
|
|||
|
|
|||
|
2017 (n = 88) 2018 (mn = 152) 2019 (n = 153)
|
|||
|
|
|||
|
Etiologic agents” n % n % n %
|
|||
|
|
|||
|
Norovirus 42 54.5 58 48.7 56 48.7
|
|||
|
|
|||
|
Salmonella 12 15.6 21 17.6 20 17.4
|
|||
|
|
|||
|
Clostridium perfringens 7 9.1 10 8.4 8 7.0
|
|||
|
Contributing factors©
|
|||
|
|
|||
|
Other contamination by a suspected infectious worker 29 33.0 34 22.4 33 21.6
|
|||
|
|
|||
|
Cross-contamination of ingredients 11 12.5 23 15,1 22 14.4
|
|||
|
|
|||
|
Bare-hand contact by a suspected infectious worker 18 20.5 21 13.8 17 11.1
|
|||
|
Environmental antecedents
|
|||
|
|
|||
|
Lack of employee oversight/enforcement of policies 75 85.2 124 81.6 151 98.7
|
|||
|
|
|||
|
Lack of employee training 64 72.7 111 73.0 116 75.8
|
|||
|
|
|||
|
Lack of a food safety culture/attitude towards food safety 55 62.5 83 54.6 88 57.5
|
|||
|
|
|||
|
|
|||
|
* Outbreaks could have more than 1 agent, contributing factor, and environmental antecedent.
|
|||
|
> The denominator is the number of outbreaks that reported an agent (confirmed or suspected). 2017: n = 77; 2018: n = 119; 2019: n = 115.
|
|||
|
© The denominator is the number of outbreaks that reported a contributing factor and environmental antecedent. 2017: n = 88; 2018:n = 152; 2019: n = 153.
|
|||
|
|
|||
|
|
|||
|
age ill employees. For example, they can create written policies,
|
|||
|
address reasons why employees work while ill, and create schedules
|
|||
|
for when an employee is ill (Centers for Disease Control and
|
|||
|
Prevention, 2022d).
|
|||
|
|
|||
|
Active managerial control. The top three antecedents (lack of
|
|||
|
oversight of employees, lack of training of employees, lack of food
|
|||
|
safety culture) and other people antecedents, such as lack of sick leave,
|
|||
|
are heavily influenced by retail food establishment managers. Active
|
|||
|
managerial control is the purposeful incorporation of specific actions
|
|||
|
or procedures by industry management into the operation of their
|
|||
|
business to attain control over foodborne illness risk factors. Active
|
|||
|
|
|||
|
|
|||
|
managerial control can be used to encourage proper food safety prac-
|
|||
|
tices (Food and Drug Administration, 2022). Some state and local
|
|||
|
health departments provide an active managerial control toolkit or
|
|||
|
resource center to assist food establishments in promoting and imple-
|
|||
|
menting this concept in their operations (Alexander-Leeder & Gzebb,
|
|||
|
2023; Maricopa County Department of Public Health, 2023). State
|
|||
|
and local health departments have also encouraged food establish-
|
|||
|
ments to develop and adopt active managerial control in their opera-
|
|||
|
tions through incentive programs. Regulators indicated this
|
|||
|
innovative strategy has been successful as they observed fewer viola-
|
|||
|
tions in establishments resulting in fewer required inspections by the
|
|||
|
|
|||
|
|
|||
|
M.M. Holst et al.
|
|||
|
|
|||
|
|
|||
|
health department (Retail Food Safety Regulatory Association
|
|||
|
Collaborative, 2023).
|
|||
|
|
|||
|
Equipment. We found that equipment-related antecedents were
|
|||
|
more common for bacterial outbreaks than norovirus outbreaks. Res-
|
|||
|
taurants typically rely on equipment for temperature control (e.g.,
|
|||
|
walk-in coolers for cold holding, bain-maries for hot holding)
|
|||
|
(McCabe-Sellers & Beattie, 2004). When this equipment fails or is used
|
|||
|
improperly, bacterial pathogens survive and proliferate in food. For
|
|||
|
example, Wittry et al. found that a common cause of Clostridium per-
|
|||
|
fringens outbreaks is the use of hot-holding equipment that is not large
|
|||
|
enough for the establishment’s operational demand (Wittry et al.,
|
|||
|
2022). Our finding highlights the importance of using the proper type
|
|||
|
of equipment and using the equipment properly to prevent bacterial
|
|||
|
outbreaks.
|
|||
|
|
|||
|
Poor facility layout. The antecedent of poor facility layout was
|
|||
|
identified more often with the contributing factor of cross-
|
|||
|
contamination than with contributing factors related to ill employees.
|
|||
|
Poor facility layout, possibly due to a lack of space or poor design, can
|
|||
|
support ingredient cross-contamination. For example, a meat prepara-
|
|||
|
tion area immediately adjacent to a salad preparation area could lead
|
|||
|
to raw meat juices contaminating the salad preparation area and ingre-
|
|||
|
dients. To prevent ingredient cross-contamination due to poor facility
|
|||
|
layout, the Food and Drug Administration (FDA) recommends that
|
|||
|
restaurants systematically identify their risks and develop plans for
|
|||
|
mitigating those risks (Food and Drug Administration, 2022). Ideally,
|
|||
|
these risks are identified during a construction plan review using haz-
|
|||
|
ard analysis critical control point (HACCP) principles as a tool to
|
|||
|
design safe facility layouts (Conference for Food Protection, 2016).
|
|||
|
HACCP plans are recommended by the FDA, endorsed by most state
|
|||
|
and local health departments, and are one of the best ways to mitigate
|
|||
|
risks in a food establishment (Center for Food Safety and Applied
|
|||
|
Nutrition, 2006).
|
|||
|
|
|||
|
Variations by year. There are some variations of etiologic agents,
|
|||
|
contributing factors, and antecedents by year, which could be
|
|||
|
explained by advanced laboratory testing methods and a push for
|
|||
|
increased food safety. Norovirus outbreaks decreased while Salmonella
|
|||
|
outbreaks slightly increased. This change could be due to a wider use
|
|||
|
of whole genome sequencing (WGS). WGS provides a faster, more
|
|||
|
accurate detection of bacteria (e.g., Salmonella), which may have pre-
|
|||
|
viously been labeled as unknown (Centers for Disease Control and
|
|||
|
Prevention, 2022e; Rounds, et al., 2020). Contributing factors related
|
|||
|
to ill food workers decreased from 2017 to 2019. The FDA Risk Factor
|
|||
|
Study data from 1998 to 2009 showed that compliance for no bare-
|
|||
|
hand contact with ready-to-eat foods increased over the 10-year study
|
|||
|
(Food and Drug Administration, 2010), which are actions that prevent
|
|||
|
food contamination. While this study shows similar results, more
|
|||
|
research is needed to determine what drives the decrease in bare-
|
|||
|
hand contact with ready-to-eat foods. Over the past decade, CDC
|
|||
|
and FDA research findings have focused on improving these food
|
|||
|
safety practices to prevent norovirus contamination in retail food
|
|||
|
establishments (Kambhampati et al., 2016; Hoover et al., 2020;
|
|||
|
Centers for Disease Control and Prevention, 2019).
|
|||
|
|
|||
|
Limitations. There are a few limitations to this study. NEARS is a
|
|||
|
voluntary reporting system and although the reporting sites are geo-
|
|||
|
graphically diverse, the data may not be representative of all food-
|
|||
|
borne outbreaks. The number of outbreaks at each site is likely
|
|||
|
underreported because health departments do not detect or investigate
|
|||
|
all outbreaks. Another limitation is the variability in investigation
|
|||
|
practices across health departments due to different jurisdictional poli-
|
|||
|
cies and trainings. Identification of antecedents is based on the inves-
|
|||
|
tigator’s judgment and these judgments may vary.
|
|||
|
|
|||
|
The findings from this study provide valuable and novel informa-
|
|||
|
tion about antecedents to foodborne outbreaks. The most common
|
|||
|
antecedents to foodborne illness outbreaks we identified (lack of
|
|||
|
employee training, lack of employee oversight, and lack of food safety
|
|||
|
culture) are heavily influenced by restaurant management, who can
|
|||
|
|
|||
|
|
|||
|
Journal of Food Protection 87 (2024) 100293
|
|||
|
|
|||
|
|
|||
|
exercise active managerial control to mitigate these antecedents.
|
|||
|
Establishment management can work to implement active managerial
|
|||
|
control in their establishments to help ensure effective oversight and
|
|||
|
training for employees. There are many resources, from FDA and var-
|
|||
|
ious health departments across the United States, available to health
|
|||
|
departments to assist establishments in exercising active managerial
|
|||
|
control (Food and Drug Administration, 2022; Alexander-Leeder &
|
|||
|
Gzebb, 2023; Maricopa County Department of Public Health, 2023).
|
|||
|
Interventions to address common root causes of outbreaks could focus
|
|||
|
on people as root causes and managerial leadership to improve food
|
|||
|
safety in an establishment (Kramer et al., 2023; Lee et al., 2021). Iden-
|
|||
|
tifying antecedents during investigations is essential for understanding
|
|||
|
the outbreak’s root cause and implementing sustainable corrective
|
|||
|
actions to stop the immediate outbreak and future outbreaks. Health
|
|||
|
departments are encouraged to conduct a thorough environmental
|
|||
|
assessment and identify the root cause of outbreaks to prevent future
|
|||
|
outbreaks.
|
|||
|
|
|||
|
|
|||
|
CRediT authorship contribution statement
|
|||
|
|
|||
|
|
|||
|
Meghan M. Holst: Conceptualization, Formal analysis, Methodol-
|
|||
|
ogy, Resources, Writing — original draft, Writing — review & editing.
|
|||
|
Sabrina Salinas: Conceptualization, Data curation, Investigation,
|
|||
|
Writing — review & editing. Waimon T. Tellier: Conceptualization,
|
|||
|
Data curation, Investigation, Writing — review & editing. Beth C. Wit-
|
|||
|
try: Conceptualization, Supervision, Writing — review & editing.
|
|||
|
|
|||
|
|
|||
|
Declaration of competing interest
|
|||
|
|
|||
|
|
|||
|
The authors declare that they have no known competing financial
|
|||
|
interests or personal relationships that could have appeared to influ-
|
|||
|
ence the work reported in this paper.
|
|||
|
|
|||
|
|
|||
|
Acknowledgements
|
|||
|
|
|||
|
|
|||
|
This publication is based, in part, on data collected and provided by
|
|||
|
the Centers for Disease Control and Prevention's (CDC) Environmental
|
|||
|
Health Specialists Network (EHS-Net), which is supported by a CDC
|
|||
|
grant award funded under RFA-EH-15-001. We thank the NEARS site
|
|||
|
staff who collected and entered their outbreak data. The findings
|
|||
|
and conclusions in this report are those of the authors and do not nec-
|
|||
|
essarily represent the views of CDC or the Agency for Toxic Substances
|
|||
|
and Disease Registry.
|
|||
|
|
|||
|
|
|||
|
References
|
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|
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