Table 6 Effect estimates for interacting variables in the cervical cancer models with imputed missing data (n = 5098)

Model 1

Educational level

 No education vs. higher education

26.8

(6.65–108)

16.7

(7.93–35.1)

14.7

(9.50–22.6)

10.6

(7.42–15.1)

12.3

(8.90–17.1)

8.49

(6.38–11.3)

 Primary vs. higher education

14.0

(5.69–34.6)

12.9

(7.96–21.0)

6.38

(4.61–8.83)

5.60

(4.22–7.43)

6.28

(4.72–8.36)

4.98

(3.87–6.39)

 Secondary vs. higher education

3.46

(1.42–8.45)

3.69

(2.26–6.02)

3.15

(2.27–4.36)

2.81

(2.10–3.75)

2.88

(2.15–3.88)

2.15

(1.64–2.81)

 No education vs. primary education

1.91

(0.57–6.36)

1.29

(0.69–2.42)

2.30

(1.61–3.27)

1.89

(1.43–2.49)

1.96

(1.57–2.45)

1.71

(1.39–2.09)

Model 2

Type of health insurance

 No insurance vs. contributory insurance

1.55

(0.65–3.67)

2.54

(1.71–3.77)

1.67

(1.24–2.27)

1.71

(1.33–2.21)

1.90

(1.50–2.41)

2.51

(2.01–3.15)

 Subsidised vs. contributory insurance

2.06

(1.08–3.94)

2.04

(1.48–2.81)

1.90

(1.51–2.40)

1.79

(1.46–2.19)

2.14

(1.77–2.58)

2.18

(1.82–2.60)

 Special vs. contributory insurance

4.01

(1.13–14.3)

0.26

(0.04–1.91)

0.58

(0.27–1.26)

0.55

(0.29–1.02)

0.86

(0.57–1.29)

0.88

(0.60–1.28)

 Subsidised vs. special insurance

0.51

(0.16–1.68)

7.76

(1.08–55.8)

3.26

(1.52–6.99)

3.28

(1.78–6.05)

2.49

(1.67–3.70)

2.47

(1.71–3.57)

 No insurance vs. special insurance

0.38

(0.10–1.44)

9.66

(1.33–70.4)

2.87

(1.31–6.30)

3.14

(1.67–5.92)

2.21

(1.45–3.38)

2.86

(1.93–4.23)

 No insurance vs. subsidised insurance

0.75

(0.36–1.57)

1.24

(0.88–1.76)

0.88

(0.67–1.16)

0.96

(0.76–1.21)

0.89

(0.72–1.11)

1.16

(0.94–1.42)