Predictors of admission after emergency department discharge in older adults

J Am Geriatr Soc. 2015 Jan;63(1):39-45. doi: 10.1111/jgs.13185. Epub 2014 Dec 23.

Abstract

Objectives: To identify predictors of hospital inpatient admission of older Medicare beneficiaries after discharge from the emergency department (ED).

Design: Retrospective cohort study.

Setting: Nonfederal California hospitals (n = 284).

Participants: Visits of Medicare beneficiaries aged 65 and older discharged from California EDs in 2007 (n = 505,315).

Measurements: Using the California Office of Statewide Health Planning and Development files, predictors of hospital inpatient admission within 7 days of ED discharge in older adults (≥65) with Medicare were evaluated.

Results: Hospital inpatient admissions within 7 days of ED discharge occurred in 23,340 (4.6%) visits and were associated with older age (70-74: adjusted odds ratio (AOR) = 1.12, 95% confidence interval (CI) = 1.07-1.17; 75-79: AOR = 1.18, 95% CI = 1.13-1.23; ≥80: AOR = 1.4, 95% CI = 1.35-1.46), skilled nursing facility use (AOR = 1.82, 95% CI = 1.72-1.94), leaving the ED against medical advice (AOR = 1.82, 95% CI = 1.67-1.98), and the following diagnoses with the highest odds of admission: end-stage renal disease (AOR = 3.83, 95% CI = 2.42-6.08), chronic renal disease (AOR = 3.19, 95% CI = 2.26-4.49), and congestive heart failure (AOR = 3.01, 95% CI = 2.59-3.50).

Conclusion: Five percent of older Medicare beneficiaries have a hospital inpatient admission after discharge from the ED. Chronic conditions such as renal disease and heart failure were associated with the greatest odds of admission.

Keywords: Medicare; emergency department; outcomes.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Aged
  • California
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Medicare
  • Patient Discharge
  • Patient Readmission / statistics & numerical data*
  • Retrospective Studies
  • Risk Factors
  • United States