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Table 2 Results of the GLM analyses of dissatisfaction over access to doctors/GP (Models 1 to 4) and hospitals (Models 5 to 9)-for each set of models, the best AIC value is highlighted in bold.

From: A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions

Analysis

Model

Variable

Odds

ratio

Lower

95% CI

Upper

95% CI

AIC

Access to GP surgeries

Model 1

Long Term Illness

2.27

1.86

2.76

3257.9

 

Model 2

Long Term Illness

2.00

1.62

2.46

3242.9

  

Bad Health

2.10

1.49

2.90

 
 

Model 3

Long Term Illness

2.07

1.68

2.56

3181.1

  

Bad Health

2.10

1.49

2.92

 
  

Geographic Distance (to nearest GP)

1.29

1.22

1.36

 
 

Model 4

Long Term Illness

1.80

1.45

2.24

3049.5

  

Bad Health

1.69

1.18

2.37

 
  

Geographic Distance (to nearest GP)

1.34

1.27

1.42

 
  

Non-Car Ownership

3.81

3.06

4.72

 

Access to Hospitals

Model 5

Long Term Illness

1.42

1.27

1.58

8549.2

 

Model 6

Long Term Illness

1.32

1.18

1.48

8535.5

  

Bad Health

1.61

1.28

2.02

 
 

Model 7

Long Term Illness

1.32

1.18

1.48

8537.5

  

Bad Health

1.61

1.28

2.02

 
  

Geographic Distance (to nearest Hospital)**

1.00

0.99

1.01

 
 

Model 8

Long Term Illness

1.32

1.18

1.48

8532.7

  

Bad Health

1.61

1.28

2.03

 
  

Geographic Distance (to nearest ED Hospital)*

0.991

0.982

0.999

 
 

Model 9

Long Term Illness

1.26

1.12

1.42

8488.4

  

Bad Health

1.50

1.19

1.89

 
  

Geographic Distance (to nearest ED Hospital)*

0.991

0.982

0.999

 
  

Non-Car Ownership

1.61

1.41

1.84

 
  1. All variables significant at the 1% level except where indicated at 5% (*) and as not significant (**).