predictors of psychiatric readmissions in the short- and long-term: a population-based study in taiwan

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ID: 216541
2010
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Ranked #66 of 128 articles by views in icitacee 2015 - 2nd international conference on information technology, computer, and electrical engineering: green technology strengthening in information technology, electrical and computer engineering implementation, proceedings

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Abstract
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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Authors ;Chuan-Hsiung Lin;Wen-Ling Chen;Chih-Ming Lin;Ming-Der Lee RN;Ming-Chung Ko;Chung-Yi Li
Journal icitacee 2015 - 2nd international conference on information technology, computer, and electrical engineering: green technology strengthening in information technology, electrical and computer engineering implementation, proceedings
Year 2010
DOI
10.1590/S1807-59322010000500005
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322010000500005
Keywords
schizophrenia health services research readmission

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