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Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study.

Publication ,  Journal Article
Shinjo, D; Tachimori, H; Maruyama-Sakurai, K; Ohnuma, T; Fujimori, K; Fushimi, K
Published in: Gen Hosp Psychiatry
2019

OBJECTIVES: Evidence regarding the relationships between patient, hospital, and regional factors and early unplanned readmission (short-term outcome) in patients with bipolar disorder is lacking. This study aimed to examine risk factors associated with early unplanned readmission in patients with bipolar disorder. METHOD: We retrospectively analyzed adult bipolar patients (ICD-10; F31) between April 2012 and March 2014 in the Japanese Diagnosis Procedure Combination database. We examined factors affecting the 30-day unplanned readmission using multivariable logistic regression analysis. RESULTS: A total of 2688 patients admitted to psychiatric beds were included. Multivariate analysis showed that unchanged or exacerbation discharge outcome (adjusted odds ratio [aOR]: 1.93; 95% confidence interval [CI]: 1.06-3.51, p = 0.031), unplanned or urgent admission settings (aOR: 1.51; 95% CI: 1.00-2.26, p = 0.048), physical comorbidity (chronic pulmonary disease) (aOR: 4.74; 95% CI: 1.30-17.29, p = 0.018), presence of psychiatric acute-care beds (aOR: 1.72; 95% CI: 1.02-2.87, p = 0.040), and intermediate-level hospital psychiatric staffing (aOR: 1.82; 95% CI: 1.14-2.91, p = 0.012) were significantly associated with higher early unplanned readmission, while higher density of psychiatrists in the area (aOR: 0.50; 95% CI: 0.29-0.87, p = 0.014) was significantly associated with lower early unplanned readmission. CONCLUSIONS: The results suggest that not only careful management of high-risk patients but also consideration of functional differentiation in psychiatric inpatient care, psychiatric resource allocation, and follow-up support for patients with bipolar disorder are needed for reducing the early unplanned readmission rate.

Duke Scholars

Published In

Gen Hosp Psychiatry

DOI

EISSN

1873-7714

Publication Date

2019

Volume

58

Start / End Page

51 / 58

Location

United States

Related Subject Headings

  • Young Adult
  • Treatment Outcome
  • Risk Factors
  • Retrospective Studies
  • Psychiatry
  • Patient Readmission
  • Multivariate Analysis
  • Middle Aged
  • Male
  • Logistic Models
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Shinjo, D., Tachimori, H., Maruyama-Sakurai, K., Ohnuma, T., Fujimori, K., & Fushimi, K. (2019). Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study. Gen Hosp Psychiatry, 58, 51–58. https://doi.org/10.1016/j.genhosppsych.2019.03.003
Shinjo, Daisuke, Hisateru Tachimori, Keiko Maruyama-Sakurai, Tetsu Ohnuma, Kenji Fujimori, and Kiyohide Fushimi. “Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study.Gen Hosp Psychiatry 58 (2019): 51–58. https://doi.org/10.1016/j.genhosppsych.2019.03.003.
Shinjo D, Tachimori H, Maruyama-Sakurai K, Ohnuma T, Fujimori K, Fushimi K. Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study. Gen Hosp Psychiatry. 2019;58:51–8.
Shinjo, Daisuke, et al. “Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study.Gen Hosp Psychiatry, vol. 58, 2019, pp. 51–58. Pubmed, doi:10.1016/j.genhosppsych.2019.03.003.
Shinjo D, Tachimori H, Maruyama-Sakurai K, Ohnuma T, Fujimori K, Fushimi K. Risk factors for early unplanned readmission in patients with bipolar disorder: A retrospective observational study. Gen Hosp Psychiatry. 2019;58:51–58.
Journal cover image

Published In

Gen Hosp Psychiatry

DOI

EISSN

1873-7714

Publication Date

2019

Volume

58

Start / End Page

51 / 58

Location

United States

Related Subject Headings

  • Young Adult
  • Treatment Outcome
  • Risk Factors
  • Retrospective Studies
  • Psychiatry
  • Patient Readmission
  • Multivariate Analysis
  • Middle Aged
  • Male
  • Logistic Models