Assessment of the usability of a nutritional epidemiology computerized system

Detalhes bibliográficos
Autor(a) principal: Ruggeri,Bruna Furer Ferri
Data de Publicação: 2013
Outros Autores: Voci,Silvia Maria, Borges,Camila Aparecida, Slater,Betzabeth
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000400966
Resumo: INTRODUCTION: Epidemiological research has been adhering to new technologies, such as computer systems, and using the Internet as a tool. Usability is a characteristic of a specific product concerning the facility to use it, its speed and the facility to learn how to use it. It should also not present errors, or these must be easy to solve, in case they occur, thus providing high satisfaction to users. OBJECTIVE: To evaluate the usability of the "System of health and nutrition monitoring - nutrition of school children" (NUTRISIM). METHODS: A sample of 17 Information Technology professionals evaluated the system and answered the "Questionnaire for System Usability", which determines the level of usability of systems by the Fuzzy Logic. The questionnaire contains 30 questions, which are divided into six metrics. The usability of the system determines six usability criteria in a large Fuzzy scale. RESULTS: With the exception of the metric "error control", all metrics were analyzed as "very good". The metrics "error control", "efficiency" and "satisfaction" presented medium amplitude, which is a better result in relation to the metrics "easy to learn", "easy to remember" and "effectiveness", which was assessed as "high". CONCLUSION: The study showed that the system is easy to be learned and used, but the answers are scattered. The instrument proved to be a useful tool to monitor and evaluate health and dietary intake in epidemiologic studies.
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spelling Assessment of the usability of a nutritional epidemiology computerized systemEpidemiologyNutritional epidemiology softwareFood consumptionComputer SystemsFuzzy Logic INTRODUCTION: Epidemiological research has been adhering to new technologies, such as computer systems, and using the Internet as a tool. Usability is a characteristic of a specific product concerning the facility to use it, its speed and the facility to learn how to use it. It should also not present errors, or these must be easy to solve, in case they occur, thus providing high satisfaction to users. OBJECTIVE: To evaluate the usability of the "System of health and nutrition monitoring - nutrition of school children" (NUTRISIM). METHODS: A sample of 17 Information Technology professionals evaluated the system and answered the "Questionnaire for System Usability", which determines the level of usability of systems by the Fuzzy Logic. The questionnaire contains 30 questions, which are divided into six metrics. The usability of the system determines six usability criteria in a large Fuzzy scale. RESULTS: With the exception of the metric "error control", all metrics were analyzed as "very good". The metrics "error control", "efficiency" and "satisfaction" presented medium amplitude, which is a better result in relation to the metrics "easy to learn", "easy to remember" and "effectiveness", which was assessed as "high". CONCLUSION: The study showed that the system is easy to be learned and used, but the answers are scattered. The instrument proved to be a useful tool to monitor and evaluate health and dietary intake in epidemiologic studies. Associação Brasileira de Saúde Coletiva2013-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000400966Revista Brasileira de Epidemiologia v.16 n.4 2013reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/S1415-790X2013000400016info:eu-repo/semantics/openAccessRuggeri,Bruna Furer FerriVoci,Silvia MariaBorges,Camila AparecidaSlater,Betzabetheng2015-07-27T00:00:00Zoai:scielo:S1415-790X2013000400966Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2015-07-27T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Assessment of the usability of a nutritional epidemiology computerized system
title Assessment of the usability of a nutritional epidemiology computerized system
spellingShingle Assessment of the usability of a nutritional epidemiology computerized system
Ruggeri,Bruna Furer Ferri
Epidemiology
Nutritional epidemiology software
Food consumption
Computer Systems
Fuzzy Logic
title_short Assessment of the usability of a nutritional epidemiology computerized system
title_full Assessment of the usability of a nutritional epidemiology computerized system
title_fullStr Assessment of the usability of a nutritional epidemiology computerized system
title_full_unstemmed Assessment of the usability of a nutritional epidemiology computerized system
title_sort Assessment of the usability of a nutritional epidemiology computerized system
author Ruggeri,Bruna Furer Ferri
author_facet Ruggeri,Bruna Furer Ferri
Voci,Silvia Maria
Borges,Camila Aparecida
Slater,Betzabeth
author_role author
author2 Voci,Silvia Maria
Borges,Camila Aparecida
Slater,Betzabeth
author2_role author
author
author
dc.contributor.author.fl_str_mv Ruggeri,Bruna Furer Ferri
Voci,Silvia Maria
Borges,Camila Aparecida
Slater,Betzabeth
dc.subject.por.fl_str_mv Epidemiology
Nutritional epidemiology software
Food consumption
Computer Systems
Fuzzy Logic
topic Epidemiology
Nutritional epidemiology software
Food consumption
Computer Systems
Fuzzy Logic
description INTRODUCTION: Epidemiological research has been adhering to new technologies, such as computer systems, and using the Internet as a tool. Usability is a characteristic of a specific product concerning the facility to use it, its speed and the facility to learn how to use it. It should also not present errors, or these must be easy to solve, in case they occur, thus providing high satisfaction to users. OBJECTIVE: To evaluate the usability of the "System of health and nutrition monitoring - nutrition of school children" (NUTRISIM). METHODS: A sample of 17 Information Technology professionals evaluated the system and answered the "Questionnaire for System Usability", which determines the level of usability of systems by the Fuzzy Logic. The questionnaire contains 30 questions, which are divided into six metrics. The usability of the system determines six usability criteria in a large Fuzzy scale. RESULTS: With the exception of the metric "error control", all metrics were analyzed as "very good". The metrics "error control", "efficiency" and "satisfaction" presented medium amplitude, which is a better result in relation to the metrics "easy to learn", "easy to remember" and "effectiveness", which was assessed as "high". CONCLUSION: The study showed that the system is easy to be learned and used, but the answers are scattered. The instrument proved to be a useful tool to monitor and evaluate health and dietary intake in epidemiologic studies.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000400966
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000400966
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-790X2013000400016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.16 n.4 2013
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
institution ABRASCO
reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||revbrepi@usp.br
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