Users’ satisfaction with the public dental service: the discovery of new patterns

Detalhes bibliográficos
Autor(a) principal: Fadel,Cristina Berger
Data de Publicação: 2019
Outros Autores: Bordin,Danielle, Santos,Celso Bilynkievycz dos, Carvalho,Deborah Ribeiro, Moimaz,Suzely Adas Saliba
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos Saúde Coletiva (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2019000200172
Resumo: Abstract Background Regarding to oral health, little has been advanced on how to improve quality within dental care. Objective The aim of this study was to identify the demographic factors affecting the satisfaction of users of the dental public service having the value of a strategic and high consistency methodology. Method The Data Mining was used to a secondary database, contemplating 91 features, segmental in 9 demographic factors, 17 facets, and 5 dominions. Descriptive statistics were extracted to a demographic data and the satisfaction of the users by facets and dominions, being discovered as from Decision Trees and Association Rules. Results the analysis of the results showed the relation between the demographic factor 'professional occupation' and satisfaction, in all of the dominions. The occupations of general assistant and home assistant with daily wage stood out in Association Rules to represent the lower level of satisfaction compared to the facets that were worse evaluated. Also, the factor ‘health unit's name’ showed relation with most of the investigated dominions. The difference between health units was even more evident through the Association Rule. Conclusion The Data Mining allowed to identify complementary relations to the user's perception about the public oral health services quality, constituting a safe tool to support the management of Brazilian public health and the basis of future plans.
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spelling Users’ satisfaction with the public dental service: the discovery of new patternsevaluation of the health servicesatisfactiondental caredata miningAbstract Background Regarding to oral health, little has been advanced on how to improve quality within dental care. Objective The aim of this study was to identify the demographic factors affecting the satisfaction of users of the dental public service having the value of a strategic and high consistency methodology. Method The Data Mining was used to a secondary database, contemplating 91 features, segmental in 9 demographic factors, 17 facets, and 5 dominions. Descriptive statistics were extracted to a demographic data and the satisfaction of the users by facets and dominions, being discovered as from Decision Trees and Association Rules. Results the analysis of the results showed the relation between the demographic factor 'professional occupation' and satisfaction, in all of the dominions. The occupations of general assistant and home assistant with daily wage stood out in Association Rules to represent the lower level of satisfaction compared to the facets that were worse evaluated. Also, the factor ‘health unit's name’ showed relation with most of the investigated dominions. The difference between health units was even more evident through the Association Rule. Conclusion The Data Mining allowed to identify complementary relations to the user's perception about the public oral health services quality, constituting a safe tool to support the management of Brazilian public health and the basis of future plans.Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2019000200172Cadernos Saúde Coletiva v.27 n.2 2019reponame:Cadernos Saúde Coletiva (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/1414-462x201900020008info:eu-repo/semantics/openAccessFadel,Cristina BergerBordin,DanielleSantos,Celso Bilynkievycz dosCarvalho,Deborah RibeiroMoimaz,Suzely Adas Salibaeng2019-07-03T00:00:00Zoai:scielo:S1414-462X2019000200172Revistahttp://www.iesc.ufrj.br/cadernos/ONGhttps://old.scielo.br/oai/scielo-oai.phpabelha@iesc.ufrj.br||abelha@iesc.ufrj.br2358-291X1414-462Xopendoar:2019-07-03T00:00Cadernos Saúde Coletiva (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Users’ satisfaction with the public dental service: the discovery of new patterns
title Users’ satisfaction with the public dental service: the discovery of new patterns
spellingShingle Users’ satisfaction with the public dental service: the discovery of new patterns
Fadel,Cristina Berger
evaluation of the health service
satisfaction
dental care
data mining
title_short Users’ satisfaction with the public dental service: the discovery of new patterns
title_full Users’ satisfaction with the public dental service: the discovery of new patterns
title_fullStr Users’ satisfaction with the public dental service: the discovery of new patterns
title_full_unstemmed Users’ satisfaction with the public dental service: the discovery of new patterns
title_sort Users’ satisfaction with the public dental service: the discovery of new patterns
author Fadel,Cristina Berger
author_facet Fadel,Cristina Berger
Bordin,Danielle
Santos,Celso Bilynkievycz dos
Carvalho,Deborah Ribeiro
Moimaz,Suzely Adas Saliba
author_role author
author2 Bordin,Danielle
Santos,Celso Bilynkievycz dos
Carvalho,Deborah Ribeiro
Moimaz,Suzely Adas Saliba
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Fadel,Cristina Berger
Bordin,Danielle
Santos,Celso Bilynkievycz dos
Carvalho,Deborah Ribeiro
Moimaz,Suzely Adas Saliba
dc.subject.por.fl_str_mv evaluation of the health service
satisfaction
dental care
data mining
topic evaluation of the health service
satisfaction
dental care
data mining
description Abstract Background Regarding to oral health, little has been advanced on how to improve quality within dental care. Objective The aim of this study was to identify the demographic factors affecting the satisfaction of users of the dental public service having the value of a strategic and high consistency methodology. Method The Data Mining was used to a secondary database, contemplating 91 features, segmental in 9 demographic factors, 17 facets, and 5 dominions. Descriptive statistics were extracted to a demographic data and the satisfaction of the users by facets and dominions, being discovered as from Decision Trees and Association Rules. Results the analysis of the results showed the relation between the demographic factor 'professional occupation' and satisfaction, in all of the dominions. The occupations of general assistant and home assistant with daily wage stood out in Association Rules to represent the lower level of satisfaction compared to the facets that were worse evaluated. Also, the factor ‘health unit's name’ showed relation with most of the investigated dominions. The difference between health units was even more evident through the Association Rule. Conclusion The Data Mining allowed to identify complementary relations to the user's perception about the public oral health services quality, constituting a safe tool to support the management of Brazilian public health and the basis of future plans.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1414-462x201900020008
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 Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Cadernos Saúde Coletiva v.27 n.2 2019
reponame:Cadernos Saúde Coletiva (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Cadernos Saúde Coletiva (Online)
collection Cadernos Saúde Coletiva (Online)
repository.name.fl_str_mv Cadernos Saúde Coletiva (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
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