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Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina

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Resumo:Introduction: Early and long-term hospital readmissions is a current theme, bearing an economic and functional side. Faced with the financial crisis Portugal is going through, it is particularly important to reduce readmissions within 30 days, because they are more easily preventable. With this purpose, some risk prediction models for hospital readmission are conceived to define individuals at high risk of re-hospitalization . Objective: To determine the early and long-term risk factors for hospital readmissions and suggest a readmission model to be validated in Portugal. Methods: Studies of prediction models and variables for hospital readmission were conducted. Subsequently, the studied variables and the ones included in the models were analyzed. Results: The majority of the studies examined specific medical diagnoses or comorbidity index, prior use of medical services and socio-demographic determinants of health. Studies of early hospital readmissions most often analyzed characteristics of previous hospital readmission. Functional health status variables were less examined. Conclusion: We found some clinical variables that all together may be able to predict early and long term readmissions; however, it should be considered the study of prediction models of specific pathology.
Autores principais:Santos, Joana Margarida Eugénio dos
Assunto:Readmissão hospitalar Enfermarias
Ano:2014
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso restrito
Instituição associada:Universidade de Lisboa
Idioma:português
Origem:Repositório da Universidade de Lisboa
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author Santos, Joana Margarida Eugénio dos
author_facet Santos, Joana Margarida Eugénio dos
author_role author
contributor_name_str_mv Soares, José Ducla
Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_txt [{\"Person.name\":\"Santos, Joana Margarida Eugénio dos\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Soares, José Ducla
Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Santos, Joana Margarida Eugénio dos
datacite.date.Accepted.fl_str_mv 2014-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2016-06-15T17:46:50Z
datacite.date.embargoed.fl_str_mv 2016-06-15T17:46:50Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Readmissão hospitalar
Enfermarias
datacite.titles.title.fl_str_mv Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
dc.contributor.none.fl_str_mv Soares, José Ducla
Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Santos, Joana Margarida Eugénio dos
dc.date.Accepted.fl_str_mv 2014-01-01T00:00:00Z
dc.date.available.fl_str_mv 2016-06-15T17:46:50Z
dc.date.embargoed.fl_str_mv 2016-06-15T17:46:50Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10451/24064
dc.language.none.fl_str_mv por
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Readmissão hospitalar
Enfermarias
dc.title.fl_str_mv Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Introduction: Early and long-term hospital readmissions is a current theme, bearing an economic and functional side. Faced with the financial crisis Portugal is going through, it is particularly important to reduce readmissions within 30 days, because they are more easily preventable. With this purpose, some risk prediction models for hospital readmission are conceived to define individuals at high risk of re-hospitalization . Objective: To determine the early and long-term risk factors for hospital readmissions and suggest a readmission model to be validated in Portugal. Methods: Studies of prediction models and variables for hospital readmission were conducted. Subsequently, the studied variables and the ones included in the models were analyzed. Results: The majority of the studies examined specific medical diagnoses or comorbidity index, prior use of medical services and socio-demographic determinants of health. Studies of early hospital readmissions most often analyzed characteristics of previous hospital readmission. Functional health status variables were less examined. Conclusion: We found some clinical variables that all together may be able to predict early and long term readmissions; however, it should be considered the study of prediction models of specific pathology.
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fulltext.url.fl_str_mv https://repositorio.ulisboa.pt/bitstreams/97686d16-16c2-46d8-a784-077a1a6ad71f/download
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institution Universidade de Lisboa
instname_str Universidade de Lisboa
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oai_identifier_str oai:repositorio.ulisboa.pt:10451/24064
organization_str_mv urn:organizationAcronym:ul
person_str_mv Santos, Joana Margarida Eugénio dos
publishDate 2014
reponame_str Repositório da Universidade de Lisboa
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spelling porpt_PTIntroduction: Early and long-term hospital readmissions is a current theme, bearing an economic and functional side. Faced with the financial crisis Portugal is going through, it is particularly important to reduce readmissions within 30 days, because they are more easily preventable. With this purpose, some risk prediction models for hospital readmission are conceived to define individuals at high risk of re-hospitalization . Objective: To determine the early and long-term risk factors for hospital readmissions and suggest a readmission model to be validated in Portugal. Methods: Studies of prediction models and variables for hospital readmission were conducted. Subsequently, the studied variables and the ones included in the models were analyzed. Results: The majority of the studies examined specific medical diagnoses or comorbidity index, prior use of medical services and socio-demographic determinants of health. Studies of early hospital readmissions most often analyzed characteristics of previous hospital readmission. Functional health status variables were less examined. Conclusion: We found some clinical variables that all together may be able to predict early and long term readmissions; however, it should be considered the study of prediction models of specific pathology.application/pdfpt_PTVariáveis predictivas de readmissão hospitalar nas enfermarias de medicinaSantos, Joana Margarida Eugénio dosSoares, José DuclaHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptURNurn:tid:2014688912016-06-15T17:46:50Z20142014-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/24064http://purl.org/coar/access_right/c_16ecrestricted accessReadmissão hospitalarEnfermarias333529 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/97686d16-16c2-46d8-a784-077a1a6ad71f/download
spellingShingle Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
Santos, Joana Margarida Eugénio dos
Readmissão hospitalar
Enfermarias
status SINGLETON
subject.fl_str_mv Readmissão hospitalar
Enfermarias
title Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
title_full Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
title_fullStr Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
title_full_unstemmed Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
title_short Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
title_sort Variáveis predictivas de readmissão hospitalar nas enfermarias de medicina
topic Readmissão hospitalar
Enfermarias
topic_facet Readmissão hospitalar
Enfermarias
url http://hdl.handle.net/10451/24064
visible 1