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Table 5 Predictors of high immunization dropout rate identified by multivariate logistic random effects regressions models

From: Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study

Variables Model 1
aOR (95% CI)
Model 2
aOR (95% CI)
Model 3
aOR (95% CI)
Model 4
aOR (95% CI)
Sociodemographic characteristics
Children characteristics
Card possession (No vs. Yes) 2.28 (1.13- 4.60)    2.04 (0.93- 4.49)
Household characteristics
Place of residence (Rural vs. Urban)   1.92 (1.18-3.12)   1.87 (1.12-3.14)
Respondents’ perceptions
Availability of seats (No vs. Yes)    7.91 (1.49-41.90) 7.30 (1.30-40.87)
Respect of the order of arrival (No vs. Yes)    3.52 (1.42-8.73) 3.42 (1.36-8.61)
Reminder system (No vs. Yes)    2.12 (1.34-3.34) 2.04 (1.28-3.24)
Random effects variance (SE) 0.52*(0.16) 0.63*(0.18) 0.56*(0.18) 0.63*(0.19)
Model fit AIC 564.6 562.9 531 526.7
  1. aOR, adjusted odds ratio; SE, Standard Error; AIC, Akaike Information Criterion
  2. Model 1 multivariate regression for children characteristics.  
  3. Model 2 multivariate regression for household characteristics.
  4. Model 3 multivariate regression for respondents’ perceptions.
  5. Model 4 final multivariate logistic random effects regression (chidren and household characteristics, and respondents’ perceptions).