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Table 1 Logistic regression analysis on the determinants of facility delivery in Rufiji-Model: 1-2

From: Female migrants, family members and community socio-demographic characteristics influence facility delivery in Rufiji, Tanzania

 

Model 1*

Model 2**

 

n = 19,992

n = 19,992

 

OR (95% CI)

OR (95% CI)

Individual level factors

  

Mother’s age

0.96(0.93-0.99)

0.93(0.9-0.97)

Mother’s age2

1(1)

1(1)

Parity

0.89(0.87-0.91)

0.89(0.87-0.92)

Education level

  

No education

ref

ref

Primary education

1.03(0.96-1.1)

1.16(1.07-1.25)

Secondary +

1.48(1.16-1.88)

1.75(1.35-2.27)

Female migrants

  

No female migrants

ref

ref

Female migrants

1.31(1.23-1.4)

1.2(1.11-1.29)

Occupation

  

Famers

ref

ref

Paid work

1.72(1.55-1.91)

1.56(1.39-1.76)

Other work

1.61(1.4-1.84)

1.53(1.31-1.79)

Distance from facility

0.93(0.92-0.94)

0.98(0.97-0.99)

Multiple birth

  

Single

ref

ref

Twins

1.6(1.32-1.94)

1.5(1.22-1.84)

Marital status

  

Single

ref

ref

Married

0.99(0.92-1.06)

1.01(0.93-1.1)

Season

  

Dry

ref

ref

Raining

0.89(0.83-0.95)

0.9(0.84-0.97)

Economic status

  

Poorest

ref

ref

Quintile 2

1.21(1.1-1.33)

1.13(1.02-1.26)

Quintile 3

1.45(1.32-1.59)

1.32(1.19-1.47)

Quintile 4

1.96(1.77-2.17)

1.59(1.42-1.78)

Least poor

3.55(3.12-4.04)

2.66(2.3-3.07)

Previous place of delivery

  

Health facility

ref

ref

Not known/First birth

0.38(0.34-0.42)

0.41(0.36-0.46)

Home

0.32(0.29-0.35)

0.51(0.45-0.56)

Previous pregnancy outcome

  

Live birth

ref

ref

Not known/First birth

1.68(1.51-1.87)

1.77(1.57-2.01)

Still Birth/Miscarriages/Abortion

1.87(1.41-2.48)

1.92(1.42-2.6)

Community – level factors

  

Female community years of schooling

 

0.72(0.52-0.99)

Community asset index

 

2.37(1.88-2.98)

Female mean age of community

 

1.17(1.03-1.32)

Random effects

  

Region [SE]

 

0.58(0.44-0 .75)

Mother [SE]

 

0.52(0.42-0.65)

  1. Ref = Reference category/comparison group.
  2. SE = Standard error of random variance.
  3. *Simple logistic regression with individual level variable.
  4. **Multilevel logistic regression model with individual and community level variables and random effects variables for mother and village.