Abstract

Objective: A nationwide population-based dataset was used to explore the association between length of stay (LOS) and 30-day readmission rates for hospitalized patients with schizophrenia in Taiwan. Methods: The National Health Insurance Research Database was used for the years 2001-2003 and included a total of 29,373 patients with schizophrenia divided equally into four groups according to LOS of index hospitalization. After adjusting for hospital, physician and patient characteristics, a multivariate regression analysis was used to determine the relationship between LOS and 30-day readmission rates. Results: After discharge from their index hospitalization, 12,468 (42.5%) patients with schizophrenia were readmitted within 30 days. The adjusted odds ratio for 30-day readmission rates was increased for shorter LOS. Conclusions: Healthcare providers should exert caution while trying to reduce LOS within the current cost-conscious environment and balance it with creating a minimal status necessary for discharge.

Original languageEnglish
Pages (from-to)211-214
Number of pages4
JournalSchizophrenia Research
Volume83
Issue number2-3
DOIs
Publication statusPublished - Apr 2006

Fingerprint

Length of Stay
Schizophrenia
Population
Hospitalization
National Health Programs
Taiwan
Health Personnel
Multivariate Analysis
Odds Ratio
Regression Analysis
Databases
Physicians
Costs and Cost Analysis
Research

Keywords

  • Length of stay
  • Readmission rates
  • Schizophrenia

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Behavioral Neuroscience
  • Biological Psychiatry
  • Neurology
  • Psychology(all)

Cite this

The association between readmission rates and length of stay for schizophrenia : A 3-year population-based study. / Lin, Herng Ching; Tian, Wei Hua; Chen, Chin Shyan; Liu, Tsai Ching; Tsai, Shang Ying; Lee, Hsin Chien.

In: Schizophrenia Research, Vol. 83, No. 2-3, 04.2006, p. 211-214.

Research output: Contribution to journalArticle

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AU - Tsai, Shang Ying

AU - Lee, Hsin Chien

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N2 - Objective: A nationwide population-based dataset was used to explore the association between length of stay (LOS) and 30-day readmission rates for hospitalized patients with schizophrenia in Taiwan. Methods: The National Health Insurance Research Database was used for the years 2001-2003 and included a total of 29,373 patients with schizophrenia divided equally into four groups according to LOS of index hospitalization. After adjusting for hospital, physician and patient characteristics, a multivariate regression analysis was used to determine the relationship between LOS and 30-day readmission rates. Results: After discharge from their index hospitalization, 12,468 (42.5%) patients with schizophrenia were readmitted within 30 days. The adjusted odds ratio for 30-day readmission rates was increased for shorter LOS. Conclusions: Healthcare providers should exert caution while trying to reduce LOS within the current cost-conscious environment and balance it with creating a minimal status necessary for discharge.

AB - Objective: A nationwide population-based dataset was used to explore the association between length of stay (LOS) and 30-day readmission rates for hospitalized patients with schizophrenia in Taiwan. Methods: The National Health Insurance Research Database was used for the years 2001-2003 and included a total of 29,373 patients with schizophrenia divided equally into four groups according to LOS of index hospitalization. After adjusting for hospital, physician and patient characteristics, a multivariate regression analysis was used to determine the relationship between LOS and 30-day readmission rates. Results: After discharge from their index hospitalization, 12,468 (42.5%) patients with schizophrenia were readmitted within 30 days. The adjusted odds ratio for 30-day readmission rates was increased for shorter LOS. Conclusions: Healthcare providers should exert caution while trying to reduce LOS within the current cost-conscious environment and balance it with creating a minimal status necessary for discharge.

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