Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Clinics |
Texto Completo: | https://www.revistas.usp.br/clinics/article/view/18366 |
Resumo: | OBJECTIVES: To explore the risks and rates of readmission and their predictors 14 days, one year, and five years after discharge for the psychiatric population in Taiwan. METHODS: This was a prospective study based on claims from 44,237 first-time hospitalized psychiatric patients discharged in 2000, who were followed for up to five years after discharge. The cumulative incidence and incidence density of readmission were calculated for various follow-up periods after discharge, and Cox proportional hazard models were generated to identify the significant predictors for psychiatric readmission. RESULTS: The less than 14-day, one-year, and five-year cumulative incidences were estimated at 6.1%, 22.3%, and 37.8%, respectively. The corresponding figures for incidence density were 4.58, 1.04, and 0.69 per 1,000 person-days, respectively. Certain factors were significantly associated with increased risk of readmission irrespective of the length of follow-up, including male gender, length of hospital stay >;15 days, economic poverty, a leading discharge diagnosis of schizophrenia/affective disorders, and residence in less-urbanized regions. Compared to children/adolescents, young adults (20-39 years) were significantly associated with increased risks of |
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Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan Affective disorderHealth services researchReadmissionSchizophreniaSocial factor OBJECTIVES: To explore the risks and rates of readmission and their predictors 14 days, one year, and five years after discharge for the psychiatric population in Taiwan. METHODS: This was a prospective study based on claims from 44,237 first-time hospitalized psychiatric patients discharged in 2000, who were followed for up to five years after discharge. The cumulative incidence and incidence density of readmission were calculated for various follow-up periods after discharge, and Cox proportional hazard models were generated to identify the significant predictors for psychiatric readmission. RESULTS: The less than 14-day, one-year, and five-year cumulative incidences were estimated at 6.1%, 22.3%, and 37.8%, respectively. The corresponding figures for incidence density were 4.58, 1.04, and 0.69 per 1,000 person-days, respectively. Certain factors were significantly associated with increased risk of readmission irrespective of the length of follow-up, including male gender, length of hospital stay >;15 days, economic poverty, a leading discharge diagnosis of schizophrenia/affective disorders, and residence in less-urbanized regions. Compared to children/adolescents, young adults (20-39 years) were significantly associated with increased risks of Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/1836610.1590/S1807-59322010000500005Clinics; Vol. 65 No. 5 (2010); 481-489 Clinics; v. 65 n. 5 (2010); 481-489 Clinics; Vol. 65 Núm. 5 (2010); 481-489 1980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/18366/20429Lin, Chuan-HsiungChen, Wen-LingLin, Chih-MingLee RN, Ming-DerKo, Ming-ChungLi, Chung-Yiinfo:eu-repo/semantics/openAccess2012-05-23T11:17:20Zoai:revistas.usp.br:article/18366Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2012-05-23T11:17:20Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
title |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
spellingShingle |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan Lin, Chuan-Hsiung Affective disorder Health services research Readmission Schizophrenia Social factor |
title_short |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
title_full |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
title_fullStr |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
title_full_unstemmed |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
title_sort |
Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan |
author |
Lin, Chuan-Hsiung |
author_facet |
Lin, Chuan-Hsiung Chen, Wen-Ling Lin, Chih-Ming Lee RN, Ming-Der Ko, Ming-Chung Li, Chung-Yi |
author_role |
author |
author2 |
Chen, Wen-Ling Lin, Chih-Ming Lee RN, Ming-Der Ko, Ming-Chung Li, Chung-Yi |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lin, Chuan-Hsiung Chen, Wen-Ling Lin, Chih-Ming Lee RN, Ming-Der Ko, Ming-Chung Li, Chung-Yi |
dc.subject.por.fl_str_mv |
Affective disorder Health services research Readmission Schizophrenia Social factor |
topic |
Affective disorder Health services research Readmission Schizophrenia Social factor |
description |
OBJECTIVES: To explore the risks and rates of readmission and their predictors 14 days, one year, and five years after discharge for the psychiatric population in Taiwan. METHODS: This was a prospective study based on claims from 44,237 first-time hospitalized psychiatric patients discharged in 2000, who were followed for up to five years after discharge. The cumulative incidence and incidence density of readmission were calculated for various follow-up periods after discharge, and Cox proportional hazard models were generated to identify the significant predictors for psychiatric readmission. RESULTS: The less than 14-day, one-year, and five-year cumulative incidences were estimated at 6.1%, 22.3%, and 37.8%, respectively. The corresponding figures for incidence density were 4.58, 1.04, and 0.69 per 1,000 person-days, respectively. Certain factors were significantly associated with increased risk of readmission irrespective of the length of follow-up, including male gender, length of hospital stay >;15 days, economic poverty, a leading discharge diagnosis of schizophrenia/affective disorders, and residence in less-urbanized regions. Compared to children/adolescents, young adults (20-39 years) were significantly associated with increased risks of |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01 |
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/clinics/article/view/18366 10.1590/S1807-59322010000500005 |
url |
https://www.revistas.usp.br/clinics/article/view/18366 |
identifier_str_mv |
10.1590/S1807-59322010000500005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/18366/20429 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 65 No. 5 (2010); 481-489 Clinics; v. 65 n. 5 (2010); 481-489 Clinics; Vol. 65 Núm. 5 (2010); 481-489 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222755221667840 |