Table 4.
Baseline data (2012) | Follow-up data (2014) | |||||
---|---|---|---|---|---|---|
Dependent variables (Model 1) | Dependent variables (Model 2) | |||||
SVDs | Immunizations | Condom utilization | SVDs | Immunizations | Condom utilization | |
Independent variables | Coef.[(95% CI] | Coef.[(95% CI] | Coef.[(95% CI] | Coef.[(95% CI] | Coef.[(95% CI] | Coef.[(95% CI] |
Intervention status | ||||||
CEI | −1.83[−9.40 5.74] | −44.87[− 176.8 87.07] | −2.75[−90.06 4.58] | −8.90[− 87.72 9.91] | 519.5[−599.5 1638.5] | 72.16[− 143.6 287.10] |
No CEI | Ref | Ref | Ref | Ref | Ref | Ref |
Ownership | ||||||
Private | −7.31[−15.70 1.08]* | −167.58[−313.8−21.39]+ | − 182.5[− 279.2−85.7]* | 15.61[− 120.6 51.8] | − 558.4[− 2492.4 375.5] | − 78.33[− 451.3 294.6] |
Public | Ref | Ref | Ref | Ref | Ref | Ref |
Location | ||||||
Rural | 5.97[−1.95 13.89] | -75.89[-213.9 62.13] | −6.0[−97.4 85.3] | 9.20[−83.81 102.2] | 380.2[− 940.4 1700.8] | 48.11[−206.6 302.8] |
Urban | Ref | Ref | Ref | Ref | Ref | Ref |
Region | ||||||
GAR | −10.36[−18.80−1.93]+ | −231.18[−378.2−84.19]+ | −66.4[− 163.7 30.9] | −40.17[− 240.0 159.7] | 608.6[− 2228.9 3446.1] | 101.8[− 445.4 648.9] |
WR | Ref | Ref | Ref | Ref | Ref | Ref |
Distance to nearest referral FH | ||||||
30–60 min | 0.18[−0.00 0.37]* | 1.01[−2.21 4.24] | 0.76[−1.38 2.89] | .264 [1.88 2.41] | 2.91[−27.58 33.41] | −0.21[−6.09 5.67] |
> 60 min | Ref | Ref | Ref | Ref | Ref | Ref |
Income group of clients | ||||||
Low income | 13.55 [4.56 22.54]+ | 148.1[−8.56 304.8]* | 45.76[−57.95 149.5] | 40.8[− 155.4 237.0] | −692.9[− 3478.7 2092.8] | −71.78[− 608.10 465.4] |
High income group | Ref | Ref | Ref | Ref | Ref | Ref |
Staff capacity | −.007[−0.20 0.19] | − 0.50[−3.88 2.88] | −0.50[−2.74 1.73] | − 0.77[−4.99 3.45] | −4.82[−64.69 55.05] | − 0.86[−12.40 10.69] |
Source: Field Data Greater Accra and Western Regions (2014); Legend: SVDs (Spontaneous vaginal deliveries); HF (Health Facility); *p < 0.05; +p < 0.01
Model 1 Equation: Outcome variable 1 (RMSE = 14.16; “R-sq” = 0.36; F = 4.35; p = 0.0007); Outcome variable 2 (RMSE = 246.70; “R-sq” = 0.28; F = 2.97; p = 0.01047); Outcome variable 3 (RMSE = 163.28; “R-sq” = 0.28; F = 2.93; p = 0.0114)
Model 2 Equation: Outcome variable 1 (RMSE = 40.30; “R-sq” = 0.32; F = 0.27; p = 0.9355); Outcome variable 2 (RMSE = 572.15; “R-sq” = 0.44; F = 0.45; p = 0.8327); Outcome variable 3 (RMSE = 110.34; “R-sq” = 0.31; F = .256; p = 0.9439)