Users’ satisfaction with the public dental service: the discovery of new patterns
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2019000200172 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1414-462X2019000200172 |
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) |
repository.mail.fl_str_mv |
abelha@iesc.ufrj.br||abelha@iesc.ufrj.br |
_version_ |
1750128226209890304 |