Impact of long-stay beds on the performance of a tertiary hospital in emergencies

Detalhes bibliográficos
Autor(a) principal: Pazin-Filho,Antonio
Data de Publicação: 2015
Outros Autores: Almeida,Edna de, Cirilo,Leni Peres, Lourençato,Frederica Montanari, Baptista,Lisandra Maria, Pintyá,José Paulo, Capeli,Ronaldo Dias, Silva,Sonia Maria Pirani Felix da, Wolf,Claudia Maria, Dinardi,Marcelo Marcos, Scarpelini,Sandro, Damasceno,Maria Cecília
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100266
Resumo: ABSTRACT OBJECTIVE To assess the impact of implementing long-stay beds for patients of low complexity and high dependency in small hospitals on the performance of an emergency referral tertiary hospital. METHODS For this longitudinal study, we identified hospitals in three municipalities of a regional department of health covered by tertiary care that supplied 10 long-stay beds each. Patients were transferred to hospitals in those municipalities based on a specific protocol. The outcome of transferred patients was obtained by daily monitoring. Confounding factors were adjusted by Cox logistic and semiparametric regression. RESULTS Between September 1, 2013 and September 30, 2014, 97 patients were transferred, 72.1% male, with a mean age of 60.5 years (SD = 1.9), for which 108 transfers were performed. Of these patients, 41.7% died, 33.3% were discharged, 15.7% returned to tertiary care, and only 9.3% tertiary remained hospitalized until the end of the analysis period. We estimated the Charlson comorbidity index – 0 (n = 28 [25.9%]), 1 (n = 31 [56.5%]) and ≥ 2 (n = 19 [17.5%]) – the only variable that increased the chance of death or return to the tertiary hospital (Odds Ratio = 2.4; 95%CI 1.3;4.4). The length of stay in long-stay beds was 4,253 patient days, which would represent 607 patients at the tertiary hospital, considering the average hospital stay of seven days. The tertiary hospital increased the number of patients treated in 50.0% for Intensive Care, 66.0% for Neurology and 9.3% in total. Patients stayed in long-stay beds mainly in the first 30 (50.0%) and 60 (75.0%) days. CONCLUSIONS Implementing long-stay beds increased the number of patients treated in tertiary care, both in general and in system bottleneck areas such as Neurology and Intensive Care. The Charlson index of comorbidity is associated with the chance of patient death or return to tertiary care, even when adjusted for possible confounding factors.
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spelling Impact of long-stay beds on the performance of a tertiary hospital in emergenciesBed OccupancyHospital Bed CapacityLength of StayLong-Term CareTertiary HealthcareEmergency Medical ServicesCharlson Comorbidity IndexABSTRACT OBJECTIVE To assess the impact of implementing long-stay beds for patients of low complexity and high dependency in small hospitals on the performance of an emergency referral tertiary hospital. METHODS For this longitudinal study, we identified hospitals in three municipalities of a regional department of health covered by tertiary care that supplied 10 long-stay beds each. Patients were transferred to hospitals in those municipalities based on a specific protocol. The outcome of transferred patients was obtained by daily monitoring. Confounding factors were adjusted by Cox logistic and semiparametric regression. RESULTS Between September 1, 2013 and September 30, 2014, 97 patients were transferred, 72.1% male, with a mean age of 60.5 years (SD = 1.9), for which 108 transfers were performed. Of these patients, 41.7% died, 33.3% were discharged, 15.7% returned to tertiary care, and only 9.3% tertiary remained hospitalized until the end of the analysis period. We estimated the Charlson comorbidity index – 0 (n = 28 [25.9%]), 1 (n = 31 [56.5%]) and ≥ 2 (n = 19 [17.5%]) – the only variable that increased the chance of death or return to the tertiary hospital (Odds Ratio = 2.4; 95%CI 1.3;4.4). The length of stay in long-stay beds was 4,253 patient days, which would represent 607 patients at the tertiary hospital, considering the average hospital stay of seven days. The tertiary hospital increased the number of patients treated in 50.0% for Intensive Care, 66.0% for Neurology and 9.3% in total. Patients stayed in long-stay beds mainly in the first 30 (50.0%) and 60 (75.0%) days. CONCLUSIONS Implementing long-stay beds increased the number of patients treated in tertiary care, both in general and in system bottleneck areas such as Neurology and Intensive Care. The Charlson index of comorbidity is associated with the chance of patient death or return to tertiary care, even when adjusted for possible confounding factors. Faculdade de Saúde Pública da Universidade de São Paulo2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100266Revista de Saúde Pública v.49 2015reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-8910.2015049006078info:eu-repo/semantics/openAccessPazin-Filho,AntonioAlmeida,Edna deCirilo,Leni PeresLourençato,Frederica MontanariBaptista,Lisandra MariaPintyá,José PauloCapeli,Ronaldo DiasSilva,Sonia Maria Pirani Felix daWolf,Claudia MariaDinardi,Marcelo MarcosScarpelini,SandroDamasceno,Maria Cecíliaeng2016-01-22T00:00:00Zoai:scielo:S0034-89102015000100266Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2016-01-22T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Impact of long-stay beds on the performance of a tertiary hospital in emergencies
title Impact of long-stay beds on the performance of a tertiary hospital in emergencies
spellingShingle Impact of long-stay beds on the performance of a tertiary hospital in emergencies
Pazin-Filho,Antonio
Bed Occupancy
Hospital Bed Capacity
Length of Stay
Long-Term Care
Tertiary Healthcare
Emergency Medical Services
Charlson Comorbidity Index
title_short Impact of long-stay beds on the performance of a tertiary hospital in emergencies
title_full Impact of long-stay beds on the performance of a tertiary hospital in emergencies
title_fullStr Impact of long-stay beds on the performance of a tertiary hospital in emergencies
title_full_unstemmed Impact of long-stay beds on the performance of a tertiary hospital in emergencies
title_sort Impact of long-stay beds on the performance of a tertiary hospital in emergencies
author Pazin-Filho,Antonio
author_facet Pazin-Filho,Antonio
Almeida,Edna de
Cirilo,Leni Peres
Lourençato,Frederica Montanari
Baptista,Lisandra Maria
Pintyá,José Paulo
Capeli,Ronaldo Dias
Silva,Sonia Maria Pirani Felix da
Wolf,Claudia Maria
Dinardi,Marcelo Marcos
Scarpelini,Sandro
Damasceno,Maria Cecília
author_role author
author2 Almeida,Edna de
Cirilo,Leni Peres
Lourençato,Frederica Montanari
Baptista,Lisandra Maria
Pintyá,José Paulo
Capeli,Ronaldo Dias
Silva,Sonia Maria Pirani Felix da
Wolf,Claudia Maria
Dinardi,Marcelo Marcos
Scarpelini,Sandro
Damasceno,Maria Cecília
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pazin-Filho,Antonio
Almeida,Edna de
Cirilo,Leni Peres
Lourençato,Frederica Montanari
Baptista,Lisandra Maria
Pintyá,José Paulo
Capeli,Ronaldo Dias
Silva,Sonia Maria Pirani Felix da
Wolf,Claudia Maria
Dinardi,Marcelo Marcos
Scarpelini,Sandro
Damasceno,Maria Cecília
dc.subject.por.fl_str_mv Bed Occupancy
Hospital Bed Capacity
Length of Stay
Long-Term Care
Tertiary Healthcare
Emergency Medical Services
Charlson Comorbidity Index
topic Bed Occupancy
Hospital Bed Capacity
Length of Stay
Long-Term Care
Tertiary Healthcare
Emergency Medical Services
Charlson Comorbidity Index
description ABSTRACT OBJECTIVE To assess the impact of implementing long-stay beds for patients of low complexity and high dependency in small hospitals on the performance of an emergency referral tertiary hospital. METHODS For this longitudinal study, we identified hospitals in three municipalities of a regional department of health covered by tertiary care that supplied 10 long-stay beds each. Patients were transferred to hospitals in those municipalities based on a specific protocol. The outcome of transferred patients was obtained by daily monitoring. Confounding factors were adjusted by Cox logistic and semiparametric regression. RESULTS Between September 1, 2013 and September 30, 2014, 97 patients were transferred, 72.1% male, with a mean age of 60.5 years (SD = 1.9), for which 108 transfers were performed. Of these patients, 41.7% died, 33.3% were discharged, 15.7% returned to tertiary care, and only 9.3% tertiary remained hospitalized until the end of the analysis period. We estimated the Charlson comorbidity index – 0 (n = 28 [25.9%]), 1 (n = 31 [56.5%]) and ≥ 2 (n = 19 [17.5%]) – the only variable that increased the chance of death or return to the tertiary hospital (Odds Ratio = 2.4; 95%CI 1.3;4.4). The length of stay in long-stay beds was 4,253 patient days, which would represent 607 patients at the tertiary hospital, considering the average hospital stay of seven days. The tertiary hospital increased the number of patients treated in 50.0% for Intensive Care, 66.0% for Neurology and 9.3% in total. Patients stayed in long-stay beds mainly in the first 30 (50.0%) and 60 (75.0%) days. CONCLUSIONS Implementing long-stay beds increased the number of patients treated in tertiary care, both in general and in system bottleneck areas such as Neurology and Intensive Care. The Charlson index of comorbidity is associated with the chance of patient death or return to tertiary care, even when adjusted for possible confounding factors.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
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=S0034-89102015000100266
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100266
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-8910.2015049006078
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 Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.49 2015
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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