Table 3

Multilevel mixed-effect logistic regression analysis of women’s health service access using 2016 EDHS data

VariablesCategoryModel 1Model 2Model 3Model 4
AOR (95% CI)AOR (95% CI)AOR (95% CI)
Educational statusPrimary1.19 (1.06 to 1.33)*-1.19 (1.07 to 1.34)
Secondary1.59 (1.36 to 1.85)*1.56 (1.34 to 1.81)**
Higher2.10 (1.74 to 2.55)*2.02 (1.66 to 2.44)**
No education11
Respondent’s age20–24 years1.04 (0.91 to 1.18)1.03 (0.91 to 1.17)
25–29 years1.01 (0.88 to 1.15)1.00 (0.88 to 1.14)
30–34 years1.06 (0.92 to 1.23)1.06 (0.92 to 1.23)
35–39 years0.96 (0.83 to 1.13)0.96 (0.83 to 1.12)
40–44 years0.95 (0.80 to 1.13)0.94 (0.79 to 1.12)
45–49 years0.86 (0.71 to 1.04)0.85 (0.70 to 1.03)
15–19 years11
Wealth statusRich1.35 (1.17 to 1.58)*1.38 (1.19 to 1.61)**
Middle2.37 (2.04 to 2.74)*2.26 (1.93 to 2.62)
Poor11
Respondents currently workingYes0.98 (0.91 to 1.09)0.96 (0.90 to 1.09)
No11
Media exposureYes1.16 (1.04 to 1.30)*1.15 (1.03 to 1.29)**
No11
RegionAfar0.64 (0.42 to 0.97)*0.97 (0.65 to 1.45)
Amhara1.49 (1.03 to 2.17)1.56 (1.10 to 2.22)
Oromia0.30 (0.21 to 0.45)0.28 (0.19 to 0.40)
Somali0.58 (0.40 to 0.85)*0.92 (0.64 to 1.35)
Benishangul0.52 (0.34 to 0.80)0.56 (0.38 to 0.83)
SNNPR0.56 (0.38 to 0.82)*0.53 (0.37 to 0.76)
Gambela0.67 (0.44 to 1.01)0.78 (0.52 to 1.14)
Harari2.77 (1.79 to 4.29)2.51 (1.66 to 3.79)
Addis Abeba0.89 (0.59 to 1.37)0.66 (0.44 to 0.98)
Dire Dawa0.25 (0.16 to 0.39)*0.25 (0.16 to 0.38)
Tigray11
ResidencyRural0.19 (0.15 to 0.24)*0.18 (0.14 to 0.23)**
Urban11
Model comparisonICC0.400.280.230.19
Variation0.170.1050.0810.072
MOR (95% CI)2.22 (1.92 to 2.57)1.29 (1.10 to 1.52)0.97 (0.82 to 1.15)0.81 (0.68 to 0.97)
AIC16 86616 21816 50216 027
  • *Significant at model 2 and model 3; **, significant at model 4.

  • AIC, Akaike's information criteria; AOR, adjusted odds ratio; CI, confidence interval; EDHS, Ethiopian demographic and health survey; ICC, intraclass correlation coefficient; MOR, median odds ratio; SNNPR, South Nations Nationalities and People's Region.