Hospital readmission within 30 days of older adults hospitalized in a public hospital
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Pharmaceutical Sciences |
Texto Completo: | https://www.revistas.usp.br/bjps/article/view/205718 |
Resumo: | Older adults have difficulty monitoring their drug therapy in the first thirty days following hospital discharge. This transition care period may trigger hospital readmissions. The study aims to identify the factors associated with the readmission of older adults 30 days after discharge from the perspective of drug therapy. This is a cross-sectional study and hospital admission within 30 days was defined as readmission to any hospital 30 days after discharge. The complexity of the drug therapy was established by the Medication Regimen Complexity Index (MRCI).. Readmission risks were predicted by the “Readmission Risk Score - RRS”. The multivariate logistic regression was used to identify factors associated with readmission within 30 days after discharge. Two hundred fifty-five older adults were included in the study, of which 32 (12.5%) had non-elective hospital readmission. A higher number of readmissions was observed with increased RRS value, suggesting a linear gradient effect. The variables included in the final logistic regression model were the diagnosis of cancer (OR=2.9, p=0.031), pneumonia (OR=2.3, p=0.055), and High MRCI (> 16.5) following discharge (OR=1.9, p=0.119). The cancer diagnosis is positively associated with hospital readmissions of older adults within 30 days. |
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Brazilian Journal of Pharmaceutical Sciences |
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Hospital readmission within 30 days of older adults hospitalized in a public hospitalPatient ReadmissionAgedDrug TherapyOlder adults have difficulty monitoring their drug therapy in the first thirty days following hospital discharge. This transition care period may trigger hospital readmissions. The study aims to identify the factors associated with the readmission of older adults 30 days after discharge from the perspective of drug therapy. This is a cross-sectional study and hospital admission within 30 days was defined as readmission to any hospital 30 days after discharge. The complexity of the drug therapy was established by the Medication Regimen Complexity Index (MRCI).. Readmission risks were predicted by the “Readmission Risk Score - RRS”. The multivariate logistic regression was used to identify factors associated with readmission within 30 days after discharge. Two hundred fifty-five older adults were included in the study, of which 32 (12.5%) had non-elective hospital readmission. A higher number of readmissions was observed with increased RRS value, suggesting a linear gradient effect. The variables included in the final logistic regression model were the diagnosis of cancer (OR=2.9, p=0.031), pneumonia (OR=2.3, p=0.055), and High MRCI (> 16.5) following discharge (OR=1.9, p=0.119). The cancer diagnosis is positively associated with hospital readmissions of older adults within 30 days.Universidade de São Paulo. Faculdade de Ciências Farmacêuticas2022-12-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/bjps/article/view/20571810.1590/s2175-97902022e19099Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)Brazilian Journal of Pharmaceutical Sciences; v. 58 (2022)Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022)2175-97901984-8250reponame:Brazilian Journal of Pharmaceutical Sciencesinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/bjps/article/view/205718/197169Copyright (c) 2022 Brazilian Journal of Pharmaceutical Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos , Fabiana Silvestre dos Reis, Adriano Max Moreira2023-08-22T20:38:41Zoai:revistas.usp.br:article/205718Revistahttps://www.revistas.usp.br/bjps/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpbjps@usp.br||elizabeth.igne@gmail.com2175-97901984-8250opendoar:2023-08-22T20:38:41Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
title |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
spellingShingle |
Hospital readmission within 30 days of older adults hospitalized in a public hospital Santos , Fabiana Silvestre dos Patient Readmission Aged Drug Therapy |
title_short |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
title_full |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
title_fullStr |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
title_full_unstemmed |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
title_sort |
Hospital readmission within 30 days of older adults hospitalized in a public hospital |
author |
Santos , Fabiana Silvestre dos |
author_facet |
Santos , Fabiana Silvestre dos Reis, Adriano Max Moreira |
author_role |
author |
author2 |
Reis, Adriano Max Moreira |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Santos , Fabiana Silvestre dos Reis, Adriano Max Moreira |
dc.subject.por.fl_str_mv |
Patient Readmission Aged Drug Therapy |
topic |
Patient Readmission Aged Drug Therapy |
description |
Older adults have difficulty monitoring their drug therapy in the first thirty days following hospital discharge. This transition care period may trigger hospital readmissions. The study aims to identify the factors associated with the readmission of older adults 30 days after discharge from the perspective of drug therapy. This is a cross-sectional study and hospital admission within 30 days was defined as readmission to any hospital 30 days after discharge. The complexity of the drug therapy was established by the Medication Regimen Complexity Index (MRCI).. Readmission risks were predicted by the “Readmission Risk Score - RRS”. The multivariate logistic regression was used to identify factors associated with readmission within 30 days after discharge. Two hundred fifty-five older adults were included in the study, of which 32 (12.5%) had non-elective hospital readmission. A higher number of readmissions was observed with increased RRS value, suggesting a linear gradient effect. The variables included in the final logistic regression model were the diagnosis of cancer (OR=2.9, p=0.031), pneumonia (OR=2.3, p=0.055), and High MRCI (> 16.5) following discharge (OR=1.9, p=0.119). The cancer diagnosis is positively associated with hospital readmissions of older adults within 30 days. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/bjps/article/view/205718 10.1590/s2175-97902022e19099 |
url |
https://www.revistas.usp.br/bjps/article/view/205718 |
identifier_str_mv |
10.1590/s2175-97902022e19099 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/bjps/article/view/205718/197169 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Brazilian Journal of Pharmaceutical Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Brazilian Journal of Pharmaceutical Sciences https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas |
dc.source.none.fl_str_mv |
Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022) Brazilian Journal of Pharmaceutical Sciences; v. 58 (2022) Brazilian Journal of Pharmaceutical Sciences; Vol. 58 (2022) 2175-9790 1984-8250 reponame:Brazilian Journal of Pharmaceutical Sciences instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Brazilian Journal of Pharmaceutical Sciences |
collection |
Brazilian Journal of Pharmaceutical Sciences |
repository.name.fl_str_mv |
Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
bjps@usp.br||elizabeth.igne@gmail.com |
_version_ |
1800222916972904448 |