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Table 4 “Random-effects” multilevel models

From: Factors associated with the utilization of primary care emergency centers in a Spanish region with high population dispersion: a mixed-methods study

MULTILEVEL MODELS Municipality-level variance (SE) PVE (%) MOR ICC
Null model 1.064 (0.219) reference 2.67 23.9
Univariate models:      
  Sex 1.059 (0.219) 0.49 2.67 23.8
  Age 1.090 (0.230) -2.49 2.71 24.3
  Reduction of regular activity 1.079 (0.225) -1.43 2.69 24.1
  Self-rated health: positive 1.092 (0.226) -2.66 2.71 24.4
  Number of chronic conditions 1.062 (0.218) 0.22 2.67 23.8
  SES 1.015 (0.215) 4.60 2.61 23.0
  Municipal emergency care centers 0.814 (0.219) 23.53 2.36 19.4
  % of households without a vehicle 0.991 (0.208) 6.84 2.58 22.6
  Average SES level of municipality 1.019 (0.209) 4.22 2.62 23.1
Multivariate models      
  Model 2: Invididual-level variables 1.073 (0.237) -0.88 2.68 24.0
  Model 3: Model 2 + emergency care centers 0.819 (0.241) 23.01 2.37 19.5
  Model 4: Individual- + contextual-level variables 0.725 (0.230) 31.82 2.25 17.6
  1. Relative contribution of individual- and contextual-level characteristics of living in a municipality, to the individual’s utilization of a PCEC.
  2. PCEC: Primary emergency care center; SE: Standard Error; PVE: percentage of variance explained; MOR: median odds ratio; ICC: Intraclass correlation; SES: Socio-economic Status.