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Table 3 Multilevel multivariable logistic regression model result of postnatal care service utilization in sub-Saharan Africa from 2006 to 2018

From: Determinants of postnatal care utilization in sub-Saharan Africa: a meta and multilevel analysis of data from 36 sub-Saharan countries

Variable

Empty Model AOR(95%CI)

Community-level factors model AOR(95%CI)

Individual-level factors model AOR(95%CI)

Combined model AOR(95%CI)

Africa Region

 Southern

 

1

 

1

 Central

 

0.78(0.74,0.81)

 

0.37(0.35,0.39)*

 Eastern

 

0.51(0.49,0.54)

 

0.51(0.48,0.54)*

 Western

 

0.49(0.47,0.52)

 

0.67(0.63,0.72)*

Residence

 Rural

 

1

 

1

 Urban

 

1.72(1.69,1.75)

 

1.14(1.11,1.17)*

Age group

 15–24

  

1

1

 25–34

  

1.10(1.07,1.13)

1.07(1.04,1.09)*

 35–46

  

1.22(1.18,1.26)

1.15(1.12,1.19)*

Maternal education

 No education

  

1

1

 Primary education

  

1.03(1.01,1.05)

1.15(1.12,1.18)*

 Secondary and above

  

1.02(0.99,1.06)

1.11(1.07,1.14)*

Husband education

 No education

  

1

1

 Primary education

  

0.89(0.87,0.91)

0.98(0.95,1.01)

 Secondary and above

  

0.86(0.83,0.88)

0.97(0.95,1.02)

Maternal Occupation

 Had occupation

  

1

1

 Had no occupation

  

1.03(1.01,1.06)

1.04(1.02,1.06)*

Wealth Index

 Poor

  

1

1

 Middle

  

1.00(.97,1.02)

0.97(0.95,1.01)

 Rich

  

0.98(0.96,1.01)

0.96(0.94,1.02)

Media Exposed

 No

  

1

1

 Yes

  

1.85(1.82,1.89)

1.70(1.67,1.74)*

ANC visit

 No

  

1

1

 Yes

  

3.03(2.95,3.13)

2.93(2.84,3.03)*

Place delivery

 Home

  

1

1

 Health Institution

  

1.45(1.42,1.48)

1.45(1.42,1.48)*

Wanted pregnancy

 No

  

1

1

 Yes

  

0.98(0.94,1.02)

1.00(0.96,1.04)

Accessing health care

 Big problem

  

1

1

 Not big problem

  

1.05(1.03,1.07)

1.04(1.02,1.06)*

Birth Order

 1

  

1

1

 2–4

  

0.93(0.90,0.96)

0.96(0.93,1.02)

 5+

  

0.78(0.75,0.81)

0.97(0.95,1.03)

Birth size

 Low birth weight

  

1

1

 Normal

  

1.08(1.05,1.11)

0.99(0.98,1.02)

Random Effects results

 Variance

0.31(0.27,0.35)

0.26(0.22,0.29)

0.24(0.21,0.27)

0.25(0.22,0.29)

 ICC

8.66(7.76,9.66)

7.32(6.50,8.25)

6.83(6.03,7.73)

7.28(6.44,8.23)

 PCV

1

16.67

22.75

17.30

 MOR

1.70(1.60,1.75)

1.62(1.57,1.67)

1.59(1.54,1.64)

1.62(1.57,1.67)

Model Comparison

 LL

− 195,756

− 191,618

− 138,007

− 136,767

 Deviance

391,512

383,236

2,760,014

273,534

 AIC

391,517

383,248

276,052

273,581

 BIC

391,538

383,311

276,247

273,817

  1. *=significant at alpha 5%