title: Identifying Consistent and Coherent Dimensions of Nursing Home Quality: Exploratory Factor Analysis of Quality Indicators.
abstract: There is a general belief that the markers of nursing home quality do not aggregate easily. Identifying consistent and coherent dimensions of quality that usefully summarize the multiplicity of nursing home quality measures is an important goal. It would simplify interpretation and help consumers, their families and advocates to choose nursing facilities.
  
  
  
  This study uses quality indicators (QIs) from a state nursing home report card to explore the dimensionality of quality in nursing homes and to determine whether aggregation at the resident versus facility level yields the same underlying dimensions.
  
  
  
  Cross-sectional study.
  
  
  
  382 Medicare- and/or Medicaid-certified nursing homes in Minnesota.
  
  
  
  Residents admitted to the nursing homes during 2011-2012.
  
  
  
  16 QIs obtained from the Minimum Data Set 3.0 assessment instrument between 2011 and 2012 were used in the exploratory factor analysis.
  
  
  
  Factor analysis results suggest four main factors or dimensions to characterize facility performance: continence care (including 4 QIs), restraints and behavioral symptoms (including 3 QIs), care for specific conditions (including 6 QIs), and physical functioning (including 3 QIs). The resident-level and facility-level results generally agreed for 11 QIs.
  
  
  
  Nursing home quality of care can be captured in summary measures, which can be used by consumers, providers and researchers. Reporting at the resident or facility level will depend on the purpose. These summary measures can be used by policy-makers to identify and reward high-performing facilities and by families to choose nursing facilities for care.
authors.affiliation: Purdue University School of Nursing, West Lafayette, Indiana.
authors.forename: Dongjuan
authors.initials: D
authors.lastname: Xu
authors.affiliation: University of Minnesota School of Public Health, Minneapolis, Minnesota.
authors.forename: Robert L
authors.initials: RL
authors.lastname: Kane
authors.affiliation: University of Minnesota School of Public Health, Minneapolis, Minnesota.
authors.forename: Tetyana
authors.initials: T
authors.lastname: Shippee
authors.affiliation: Minnesota Department of Human Services, Nursing Facility Rates and Policy Division, St. Paul, Minnesota.
authors.forename: Teresa M
authors.initials: TM
authors.lastname: Lewis
mesh_terms: D000368:Aged; D003430:Cross-Sectional Studies; D005163:Factor Analysis, Statistical; D006801:Humans; D008484:Medicaid; D006278:Medicare; D008910:Minnesota; D009735:Nursing Homes / Q000592:standards*; D019984:Quality Indicators, Health Care; D014481:United States
keywords: exploratory factor analysis; nursing homes; quality indicators