Symptom burden predicts nursing home admissions among older adults

J Pain Symptom Manage. 2013 Oct;46(4):591-7. doi: 10.1016/j.jpainsymman.2012.10.228. Epub 2012 Dec 5.

Abstract

Context: Symptom burden has been associated with functional decline in community-dwelling older adults and may be responsive to interventions. Known predictors of nursing home (NH) admission are often nonmodifiable.

Objectives: To determine if symptom burden independently predicted NH admission among community-dwelling older adults over an eight and a half-year follow-up period.

Methods: A random sample of community-dwelling Medicare beneficiaries in Alabama, stratified by race, gender, and rural/urban residence had baseline in-home assessments of sociodemographic measurements, Charlson comorbidity count, and symptoms. Symptom burden was derived from a count of 10 patient-reported symptoms. Nursing home admissions were determined from telephone interviews conducted every six months over the eight and a half years of study. Cox proportional hazard modeling was used to examine the significance of symptom burden as a predictor for NH admission after adjusting for other variables.

Results: The mean ± SD age of the sample (N = 999) was 75.3 ± 6.7 years, and the sample was 51% rural, 50% African American, and 50% male. Thirty-eight percent (n = 380) had symptom burden scores ≥2. Seventy-five participants (7.5%) had confirmed dates for NH admission during the eight and a half years of follow-up. Using Cox proportional hazard modeling, symptom burden remained an independent predictor of time to NH placement (hazard ratio = 1.11; P = 0.02), even after adjustment for comorbidity count, race, sex, and age.

Conclusion: Symptom burden is an independent risk factor for NH admission. Aggressive management of symptoms in older adults may reduce or delay NH admission.

Keywords: Symptom burden; nursing home admission; risk factor.

Publication types

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

MeSH terms

  • Aged
  • Aged, 80 and over
  • Alabama / epidemiology
  • Chronic Disease / epidemiology*
  • Chronic Disease / nursing*
  • Cost of Illness*
  • Female
  • Humans
  • Male
  • Nursing Homes / statistics & numerical data*
  • Outcome Assessment, Health Care / methods*
  • Patient Admission / statistics & numerical data*
  • Prevalence
  • Prognosis
  • Risk Assessment
  • Severity of Illness Index
  • Symptom Assessment / methods*
  • Symptom Assessment / statistics & numerical data
  • Syndrome