Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan

Detalhes bibliográficos
Autor(a) principal: Lin, Chuan-Hsiung
Data de Publicação: 2010
Outros Autores: Chen, Wen-Ling, Lin, Chih-Ming, Lee RN, Ming-Der, Ko, Ming-Chung, Li, Chung-Yi
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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spelling 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
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