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Predictors of discharges to a nursing home in a hospital-based cohort.

Publication ,  Journal Article
Smith, ER; Stevens, AB
Published in: J Am Med Dir Assoc
November 2009

BACKGROUND: Nursing home (NH) placement among older adults is influenced by numerous factors and is associated with multiple problematic outcomes. Interventions to prevent or delay NH placement have mainly been researched in the community. However, prediction of these factors during hospitalization could provide an ideal opportunity to shape targeted interventions among high-risk patients. The purposes of this investigation were to compare characteristics of patients discharged to the community and those discharged to the NH, and to identify predictors of NH placement. METHODS: A retrospective hospital-based cohort design was used to identify predictors of NH placement. Information about the study population was obtained from Scott and White (S&W) Healthcare's Electronic Medical Records and billing records. Study participants included S&W persons discharged to the community (n=5025) or to a nursing home (n=981). Descriptive characteristics were compared between community discharges and NH discharges using chi(2) statistic for categorical data and t test for continuous variables. Multiple logistic regression models were performed to identify the most salient predictors of NH placement. RESULTS: Traditional risk factors, such as having less caregiving support, using more hospital services, being more severely ill, and not understanding their illness, characterized persons discharged to the NH compared with community-discharged persons. Significant predictors of being discharged to the NH included longer hospitalizations, not understanding one's illness, being female, living alone, not having a caregiver, needing assistance with dressing, and having a fall risk. CONCLUSION: In conclusion, these results could help develop hospital-based interventions to postpone or prevent NH placement among high-risk patients.

Duke Scholars

Published In

J Am Med Dir Assoc

DOI

EISSN

1538-9375

Publication Date

November 2009

Volume

10

Issue

9

Start / End Page

623 / 629

Location

United States

Related Subject Headings

  • United States
  • Time Factors
  • Socioeconomic Factors
  • Risk Factors
  • Retrospective Studies
  • Probability
  • Predictive Value of Tests
  • Patient Discharge
  • Patient Admission
  • Odds Ratio
 

Citation

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Smith, E. R., & Stevens, A. B. (2009). Predictors of discharges to a nursing home in a hospital-based cohort. J Am Med Dir Assoc, 10(9), 623–629. https://doi.org/10.1016/j.jamda.2009.06.003
Smith, Emily R., and Alan B. Stevens. “Predictors of discharges to a nursing home in a hospital-based cohort.J Am Med Dir Assoc 10, no. 9 (November 2009): 623–29. https://doi.org/10.1016/j.jamda.2009.06.003.
Smith ER, Stevens AB. Predictors of discharges to a nursing home in a hospital-based cohort. J Am Med Dir Assoc. 2009 Nov;10(9):623–9.
Smith, Emily R., and Alan B. Stevens. “Predictors of discharges to a nursing home in a hospital-based cohort.J Am Med Dir Assoc, vol. 10, no. 9, Nov. 2009, pp. 623–29. Pubmed, doi:10.1016/j.jamda.2009.06.003.
Smith ER, Stevens AB. Predictors of discharges to a nursing home in a hospital-based cohort. J Am Med Dir Assoc. 2009 Nov;10(9):623–629.
Journal cover image

Published In

J Am Med Dir Assoc

DOI

EISSN

1538-9375

Publication Date

November 2009

Volume

10

Issue

9

Start / End Page

623 / 629

Location

United States

Related Subject Headings

  • United States
  • Time Factors
  • Socioeconomic Factors
  • Risk Factors
  • Retrospective Studies
  • Probability
  • Predictive Value of Tests
  • Patient Discharge
  • Patient Admission
  • Odds Ratio