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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.