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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).