Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , , , , |
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=S0034-89102000000300011 |
Resumo: | OBJECTIVE: The aim of the study was to identify the variables that predict the revolving door phenomenon in psychiatric hospital at the moment of a second admission. METHODS: The sample consisted of 3,093 patients who have been followed during 5 to 24 years after their first hospital admission due to schizophrenia, and affective or psychotic disorders. Those who had had four or more admissions during the study period were considered as revolving door patients. Logistic regression analyses were used to assess the impact of gender, age, marital status, urban conditions, diagnosis, mean period of stay on the first admission, interval between the first and second admissions on the patterns of hospitalization. RESULTS: The variables with the highest predictive power for readmission were the interval between first and second admissions, and the length of stay in the first admission. CONCLUSIONS: These data may help public health planners in providing optimal care to a small group of patients with more effective utilization of the available services. |
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Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychosesPatient readmission/trendsHospitals/psychiatricMental disordersSchizophreniaMood disordersPsychotic disordersHospitalizationOBJECTIVE: The aim of the study was to identify the variables that predict the revolving door phenomenon in psychiatric hospital at the moment of a second admission. METHODS: The sample consisted of 3,093 patients who have been followed during 5 to 24 years after their first hospital admission due to schizophrenia, and affective or psychotic disorders. Those who had had four or more admissions during the study period were considered as revolving door patients. Logistic regression analyses were used to assess the impact of gender, age, marital status, urban conditions, diagnosis, mean period of stay on the first admission, interval between the first and second admissions on the patterns of hospitalization. RESULTS: The variables with the highest predictive power for readmission were the interval between first and second admissions, and the length of stay in the first admission. CONCLUSIONS: These data may help public health planners in providing optimal care to a small group of patients with more effective utilization of the available services.Faculdade de Saúde Pública da Universidade de São Paulo2000-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102000000300011Revista de Saúde Pública v.34 n.3 2000reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-89102000000300011info:eu-repo/semantics/openAccessGastal,Fábio LAndreoli,Sérgio BQuintana,Maria Inês SGameiro,Maurício AlmeidaLeite,Sérgio OMcGrath,Johneng2001-08-06T00:00:00Zoai:scielo:S0034-89102000000300011Revistahttp://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:2001-08-06T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
title |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
spellingShingle |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses Gastal,Fábio L Patient readmission/trends Hospitals/psychiatric Mental disorders Schizophrenia Mood disorders Psychotic disorders Hospitalization |
title_short |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
title_full |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
title_fullStr |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
title_full_unstemmed |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
title_sort |
Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses |
author |
Gastal,Fábio L |
author_facet |
Gastal,Fábio L Andreoli,Sérgio B Quintana,Maria Inês S Gameiro,Maurício Almeida Leite,Sérgio O McGrath,John |
author_role |
author |
author2 |
Andreoli,Sérgio B Quintana,Maria Inês S Gameiro,Maurício Almeida Leite,Sérgio O McGrath,John |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Gastal,Fábio L Andreoli,Sérgio B Quintana,Maria Inês S Gameiro,Maurício Almeida Leite,Sérgio O McGrath,John |
dc.subject.por.fl_str_mv |
Patient readmission/trends Hospitals/psychiatric Mental disorders Schizophrenia Mood disorders Psychotic disorders Hospitalization |
topic |
Patient readmission/trends Hospitals/psychiatric Mental disorders Schizophrenia Mood disorders Psychotic disorders Hospitalization |
description |
OBJECTIVE: The aim of the study was to identify the variables that predict the revolving door phenomenon in psychiatric hospital at the moment of a second admission. METHODS: The sample consisted of 3,093 patients who have been followed during 5 to 24 years after their first hospital admission due to schizophrenia, and affective or psychotic disorders. Those who had had four or more admissions during the study period were considered as revolving door patients. Logistic regression analyses were used to assess the impact of gender, age, marital status, urban conditions, diagnosis, mean period of stay on the first admission, interval between the first and second admissions on the patterns of hospitalization. RESULTS: The variables with the highest predictive power for readmission were the interval between first and second admissions, and the length of stay in the first admission. CONCLUSIONS: These data may help public health planners in providing optimal care to a small group of patients with more effective utilization of the available services. |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000-06-01 |
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=S0034-89102000000300011 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102000000300011 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0034-89102000000300011 |
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.34 n.3 2000 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 |
_version_ |
1748936492311379968 |