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Table 3 Effect sizes of predictor variables and estimates^ of proportion citing financial barriers

From: Why not? Understanding the spatial clustering of private facility-based delivery and financial reasons for homebirths in Nigeria

Community-level factors

Unadjusted estimates

Adjusted estimates

Average change in proportion of nonusers citing financial barriers with 95%CI and p-value

Private facility delivery (every + 10%)

1.82 (1.79,1.86)

< 0.001

1.94 (1.69,2.18)

< 0.001

Public facility delivery (every + 10%)

1.17 (1.14,1.20)

< 0.001

−1.64 (−1.88,-1.41)

< 0.001

Rural sample (every + 10%)

−1.20 (−1.24,-1.16)

< 0.001

0.66 (0.54,0.78)

< 0.001

Wealth: Q1 sample (every + 10%)

−2.32 (2.37,2.27)

< 0.001

0.50 (0.31,0.70)

< 0.001

No to primary education (every + 10%)

−1.83 (−1.86,-1.80)

< 0.001

− 1.61 (− 1.78,-1.43)

< 0.001

Health insurance (every + 10%)

21.8 (21.0,22.7)

< 0.001

3.58 (2.11,5.05)

< 0.001

Geographic location

    

 Others

Reference

 

Reference

 

 Cross River and Bayelsa

17.61 (17.34,17.87)

< 0.001

17.34 (15.74,18.94)

< 0.001

% of births in private facility

Predicted percentage of nonusers citing financial barriers as reason for homebirth with 95%CI+*

 0

8.23 (8.08,8.37)

7.48 (7.20,7.76)

 5

8.96 (8.82,9.10)

8.22 (8.00,8.43)

 10

9.75 (9.62,9.89)

9.02 (8.88,9.16)

 15

10.60 (10.48,10.73)

9.90 (9.81,9.99)

 20

11.52 (11.40,11.64)

10.85 (10.69,11.01)

 25

12.51 (12.40,12.62)

11.88 (11.59,12.17)

 30

13.57 (13.46,13.68)

12.99 (12.55,13.44)

 35

14.70 (14.60,14.81)

14.19 (13.56,14.83)

 40

15.92 (15.80,16.02)

15.49 (14.64,16.33)

 45

17.21 (17.08,17.33)

16.87 (15.79,17.96)

 50

18.58 (18.42,18.73)

18.36 (17.00,19.71)

 55

20.03 (19.85,20.22)

19.94 (18.29,21.59)

 60

21.57 (21.35,21.80)

21.62 (19.66,23.59)

  1. ^ Unadjusted and adjusted effects were back-transformed from parameter estimates obtained using a logit link transformation. The z test was used for significance testing of model coefficients
  2. + Adjusted estimates describe the adjusted curve drawn in Fig. 4
  3. *Adjusted predicted percentage of nonusers citing financial barriers were obtained with all other coverages fixed their mean values