Users’ satisfaction with the public dental service: the discovery of new patterns
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Publication Date: | 2019 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.1590/1414-462x201900020008 http://hdl.handle.net/11449/183763 |
Summary: | AbstractBackground 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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Users’ satisfaction with the public dental service: the discovery of new patternsSatisfação de usuários com o serviço público odontológico: a descoberta de novos padrõesevaluation of the health servicesatisfactiondental caredata miningavaliação do serviço de saúdesatisfaçãoodontologiamineração de dadosAbstractBackground 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.ResumoIntrodução Em relação à saúde bucal, pouco se avançou sobre como melhorar a qualidade no atendimento odontológico.Objetivo O objetivo deste estudo foi identificar fatores demográficos que afetam a satisfação de usuários do serviço público odontológico, sob a análise de uma metodologia estratégica e de alta consistência.Método Aplicou-se a Mineração de Dados sobre um banco de informações secundárias, contemplando 91 características, as quais foram segmentadas em 9 fatores demográficos, 17 facetas e 5 domínios. Estatísticas descritivas foram extraídas dos dados demográficos e a satisfação dos usuários foi exposta por meio de facetas e domínios, sendo apresentados a partir de Árvores de Decisão e Regras de Associação.Resultados A análise dos resultados mostra relação entre o fator demográfico 'ocupação profissional' e a satisfação do usuário, em todos os domínios. As ocupações de assistente geral e empregado doméstico com salário diário destacaram-se nas Regras de Associação para representar o menor nível de satisfação em relação às facetas que foram mais mal avaliadas. De forma complementar, o fator 'nome da unidade de saúde' expôs relação com a maioria dos domínios investigados. A diferença entre as unidades de saúde mostrou-se ainda mais evidente por meio da Regra de Associação.Conclusão A Mineração de Dados permitiu identificar relações complementares à percepção do usuário sobre a qualidade dos serviços públicos de saúde bucal, constituindo-se em ferramenta segura para subsidiar a gestão da saúde pública brasileira e a base de planos futuros.Universidade Estadual de Ponta GrossaUniversidade Tecnológica Federal do ParanáPontifícia Universidade CatólicaUniversidade Estadual de São PauloInstituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de JaneiroUniversidade Estadual de Ponta GrossaUniversidade Tecnológica Federal do ParanáPontifícia Universidade CatólicaUniversidade Estadual de São PauloFadel, Cristina BergerBordin, DanielleSantos, Celso Bilynkievycz DosCarvalho, Deborah RibeiroMoimaz, Suzely Adas Saliba2019-10-03T17:31:32Z2019-10-03T17:31:32Z2019-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article172-181application/pdfhttp://dx.doi.org/10.1590/1414-462x201900020008Cadernos Saúde Coletiva. Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro, v. 27, n. 2, p. 172-181, 2019.1414-462Xhttp://hdl.handle.net/11449/18376310.1590/1414-462x201900020008S1414-462X2019000200172S1414-462X2019000200172.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCadernos Saúde Coletivainfo:eu-repo/semantics/openAccess2024-01-19T06:29:46Zoai:repositorio.unesp.br:11449/183763Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:23:57.042512Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Users’ satisfaction with the public dental service: the discovery of new patterns Satisfação de usuários com o serviço público odontológico: a descoberta de novos padrões |
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 avaliação do serviço de saúde satisfação odontologia mineração de dados |
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.none.fl_str_mv |
Universidade Estadual de Ponta Grossa Universidade Tecnológica Federal do Paraná Pontifícia Universidade Católica Universidade Estadual de São Paulo |
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 avaliação do serviço de saúde satisfação odontologia mineração de dados |
topic |
evaluation of the health service satisfaction dental care data mining avaliação do serviço de saúde satisfação odontologia mineração de dados |
description |
AbstractBackground 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 |
2019-10-03T17:31:32Z 2019-10-03T17:31:32Z 2019-06-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1414-462x201900020008 Cadernos Saúde Coletiva. Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro, v. 27, n. 2, p. 172-181, 2019. 1414-462X http://hdl.handle.net/11449/183763 10.1590/1414-462x201900020008 S1414-462X2019000200172 S1414-462X2019000200172.pdf |
url |
http://dx.doi.org/10.1590/1414-462x201900020008 http://hdl.handle.net/11449/183763 |
identifier_str_mv |
Cadernos Saúde Coletiva. Instituto de Estudos em Saúde Coletiva da Universidade Federal do Rio de Janeiro, v. 27, n. 2, p. 172-181, 2019. 1414-462X 10.1590/1414-462x201900020008 S1414-462X2019000200172 S1414-462X2019000200172.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cadernos Saúde Coletiva |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
172-181 application/pdf |
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 |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808129517070319616 |