Table 2 Multivariate logistic regression model estimates for NHIS enrolment

 Persons below 18 yrs

1.00

 Indigent

1.99 (1.72–2.32)***

2.17 (1.89–2.49)***

0.65 (0.38–1.09)

2.48 (2.25–2.73)***

 Informal sector employee (18–69 yrs)

0.59 (0.56–0.61)***

0.56 (0.54–0.58)***

0.50 (0.48–0.53)***

0.57 (0.56–0.58)***

 LEAP beneficiary

0.52 (0.29–0.92)**

0.49 (0.29–0.87)**

1.59 (1.02–2.49)**

0.72 (0.53–0.97)**

 Aged (≥70 yrs)

0.21 (0.19–0.24)***

0.14 (0.13–0.16)***

0.14 (0.12–0.17)***

0.17 (0.16–0.19)***

 SSNIT contributor

0.15 (0.14–0.17)***

0.16 (0.14–0.18)***

0.13 (0.11–0.16)***

0.16 (0.15–0.17)***

 SSNIT pensioner

0.07 (0.03–0.15)***

0.01 (0.00–0.08)***

0.05 (0.01–0.19)***

0.04 (0.02–0.08)***

 Female

1.00

 Male

0.69 (0.66–0.72)***

0.68 (0.66–0.71)***

0.69 (0.65–0.72)***

0.69 (0.68–0.71)***

 Male Indigent

1.27 (1.00–1.59)**

1.73 (1.39–2.17)***

1.17 (0.52–2.61)

1.43 (1.22–1.66)***

 Male Informal sector employee (18–69 yrs)

2.09 (1.96–2.23)***

2.53 (2.39–2.69)***

3.39 (3.14–3.67)***

2.49 (2.39–2.58)***

 Male LEAP beneficiary

0.39 (0.09–1.59)

1.04 (0.42–2.62)

3.36 (1.49–8.93)**

1.38 (0.81–2.36)

 Male Aged (≥70 yrs)

1.22 (1.02–1.46)**

2.09 (1.74–2.52)***

1.84 (1.39–2.43)***

1.61 (1.43–1.80)***

 Male SSNIT contributor

1.88 (1.64–2.14)***

2.01 (1.76–2.29)***

2.22 (1.78–2.76)***

2.02 (1.85–2.19)***

 Male SSNIT pensioner

2.82 (1.12–7.06)**

10.65 (1.34–84.58)**

4.05 (0.79–20.76)*

4.00 (1.94–8.24)***

 _cons

1.76

1.40 (1.37–1.44)***

0.61 90.59_0.63)***

1.21 (1.19–1.23)***

 Number of obs

73,541

85,591

56,592

215,724

 LR chi2 (16)

4714.72

5483.40

3116.40

13,154.54

 Prob > chi2

0.0000

0.0000

0.0000

0.0000

 Log likelihood

−48,409.791

−56,568.159

−32,829.792

− 142,090.29

 Pseudo R2

0.0464

0.0462

0.0453

0.0442