Life-Space Predicts Health Care Utilization in Community-Dwelling Older Adults

J Aging Health. 2019 Feb;31(2):280-292. doi: 10.1177/0898264317730487. Epub 2017 Sep 14.

Abstract

Objective: To determine whether decline in life-space mobility predicts increased health care utilization among community-dwelling older adults.

Method: Health care utilization (number of emergency department [ED] visits and hospitalizations) was self-reported during monthly interviews among 419 community-dwelling African American and non-Hispanic White adults aged 75 years and older in The University of Alabama at Birmingham (UAB) Study of Aging II. Life-space was measured using the UAB Life-Space Assessment. Generalized estimating equations were used to examine associations of life-space at the beginning of each interval with health care utilization over the 1-month interval.

Results: Overall, 400 participants were followed for 36 months. A 10-point decrease in life-space was associated with 14% increased odds of an ED visit and/or hospitalization over the next month, adjusting for demographics, transportation difficulty, comorbidity, and having a doctor visit in the last month.

Discussion: Life-space is a practical alternative in predicting future health care utilization to performance-based measures, which can be difficult to incorporate into clinical or public health practice.

Keywords: health care utilization; life-space; mobility.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Black or African American / statistics & numerical data
  • Comorbidity
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Independent Living* / psychology
  • Independent Living* / statistics & numerical data
  • Male
  • Mobility Limitation
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Residence Characteristics*
  • Self Report / statistics & numerical data*
  • Vereinigte Staaten
  • White People / statistics & numerical data