Proposal of a new method for the risk scoring and categorization of Brazilian food services.

Categories Food handling Food safety Health inspection Health surveillance Risk analysis

Journal

Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143

Informations de publication

Date de publication:
06 2022
Historique:
received: 08 01 2022
revised: 08 03 2022
accepted: 09 03 2022
entrez: 2 6 2022
pubmed: 3 6 2022
medline: 7 6 2022
Statut: ppublish

Résumé

Risk scores are used worldwide to predict foodborne disease (FBD) outbreaks in the food service industry. This study aims to develop and validate a new method for the calculation of the FBD risk score for the checklist used to categorize food service outlets. The proposed novel method is based on a risk score for each item using a risk matrix (consequence × probability), overcoming the limitations of the previous scoring process used during the World Cup in Brazil, which was based on a factorial analysis. The classification of consequences was based on critical points identified by experts prior to the World Cup in Brazil. Probability was defined based on the violation percentage of each item evaluated during inspections from 1536 food service outlets. Validation was performed using a secondary database of 3072 food service assessments in two inspection cycles. The risk scores of the new method were compared with those used during the World Cup. Each food service was classified based on their risk score into four categories: A, B, C, and pending. Good concordance (Lin's correlation coefficient = 0.8711 and 0.9205) was observed between the new and previous scores in the two inspection cycles, respectively. Comparison of the classifications showed substantial agreement (Kappa = 0.749, p < 0.001) to the first inspection cycle and near-perfect agreement (Kappa = 0.821; p < 0.001) to the second inspection cycle. This new method allows the inclusion and exclusion of assessment elements depending on local reality. Simpler methods can be used throughout Brazil and serve as a model for other countries' food safety assessments.

Identifiants

pubmed: 35651002
pii: S0963-9969(22)00184-3
doi: 10.1016/j.foodres.2022.111127
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111127

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Fernanda Dineia Viera (FD)

Franciscana University - UFN, Research Group in Food and Nutritional Security (GESAN/CNPq), Santa Maria - RS, Brazil, 1614, Andradas St, Centro, Santa Maria, RS, 97010-030, Brazil.

Elke Stedefeldt (E)

Department of Preventive Medicine - Universidade Federal de São Paulo - UNIFESP, Brazil. 740, Botucatu St, fourth floor, Vila Clementino, São Paulo, SP, 04024-002, Brazil. Electronic address: elke.stedefeldt@unifesp.br.

Patricia Arruda Scheffer (PA)

Franciscana University - UFN, Research Group in Food and Nutritional Security (GESAN/CNPq), Santa Maria - RS, Brazil, 1614, Andradas St, Centro, Santa Maria, RS, 97010-030, Brazil.

Lidiane Viera Machado (LV)

Department of Food Science and Technology, Federal University of Santa Maria (UFSM), Santa Maria - RS, Brazil. 1000, Roraima Av, Cidade Universitária, Santa Maria, RS, 97105-900, Brazil.

Raísa Moreira Dardaque Mucinhato (RMD)

Universidade Federal de São Paulo - UNIFESP, São Paulo - SP, Brazil. 862, Botucatu St, Vila Clementino, São Paulo, SP, 04024-002, Brazil.

Angela Karinne Fagundes De Castro (AKF)

Brazilian National Health Surveillance Agency - ANVISA, Brasília - DF, Brazil, SIA Trecho 5, Guará, Brasília, DF, 71205-050, Brazil. Electronic address: angela.karinne@anvisa.gov.br.

Thalita Antony de Souza Lima (TAS)

Brazilian National Health Surveillance Agency - ANVISA, Brasília - DF, Brazil, SIA Trecho 5, Guará, Brasília, DF, 71205-050, Brazil. Electronic address: thalita.lima@anvisa.gov.br.

Diogo Thimoteo Da Cunha (DT)

Multidisciplinary Laboratory of Food and Health, School of Applied Sciences - State University of Campinas - UNICAMP - SP, Brazil. 1300, Pedro Zaccaria St., Limeira, SP, 13484-350, Brazil. Electronic address: diogo.cunha@fca.unicamp.br.

Ana Lúcia de Freitas Saccol (ALF)

Franciscana University - UFN, Research Group in Food and Nutritional Security (GESAN/CNPq), Santa Maria - RS, Brazil, 1614, Andradas St, Centro, Santa Maria, RS, 97010-030, Brazil.

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Classifications MeSH