Racial Differences in Minnesota Nursing Home Residents' Quality of Life: The Importance of Looking Beyond Individual Predictors

J Aging Health. 2016 Mar;28(2):199-224. doi: 10.1177/0898264315589576. Epub 2015 Jun 25.

Abstract

Objectives: The aim of this study is to investigate racial differences in nursing home (NH) residents' quality of life (QOL) at the resident and facility levels.

Method: We used hierarchical linear modeling to identify significant resident- and facility-level predictors for racial differences in six resident-reported QOL domains. Data came from the following: (a) resident-reported QOL (n = 10,929), (b) the Minimum Data Set, and (c) facility-level characteristics from the Minnesota Department of Human Services (n = 376).

Results: White residents reported higher QOL in five of six domains, but in full models, individual-level racial differences remained only for food enjoyment. On the facility level, higher percentage of White residents was associated with better scores in three domains, even after adjusting for all characteristics.

Discussion: Racial differences in QOL exist on individual and aggregate levels. Individual differences are mainly explained by health status. The finding that facility racial composition predicts QOL more than individual race underscores the importance of examining NH structural characteristics and practices.

Keywords: long-term care; nursing home; quality of life; racial disparities.

Publication types

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

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Asian / statistics & numerical data
  • Black or African American / statistics & numerical data
  • Female
  • Health Status Disparities*
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Indians, North American / statistics & numerical data
  • Male
  • Middle Aged
  • Minnesota
  • Nursing Homes*
  • Quality of Life*
  • Racial Groups / statistics & numerical data*
  • White People / statistics & numerical data
  • Young Adult