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Table 2 Individual, community and region-level predictors of IPTp-SP utilization

From: Uptake of intermittent preventive treatment of malaria in pregnancy using sulfadoxine-pyrimethamine (IPTp-SP) in Uganda: a national survey

 

Model I

Model II

Model III

Model IV

Model V

aOR [95% Crl]

aOR [95% Crl]

aOR [95% Crl]

aOR [95% Crl]

Fixed effects

     

 Individual level

     

  Age

     

   15–19

 

0.22** [0.11–0.81]

  

0.42**[0.33–0.98]

   20–24

 

0.43*[0.24–0.98]

  

0.38*[0.25–0.79]

   25–29

 

0.99[0.62–1.62]

  

0.81[0.53–1.22]

   30–34

 

1.01[0.62–1.64]

  

0.81[0.53–1.24]

   35–39

 

0.94[0.56–1.55]

  

0.76[0.48–1.18]

   40–44

 

0.99[0.58–1.71]

  

0.81[0.50–1.30]

   45–49

 

1[1]

  

1[1]

  Education

     

   No education

 

0.33**[0.17–0.77]

  

0.51**[0.35–0.81]

   Primary

 

0.53*[0.44–0.82]

  

0.62*[0.51–0.91]

   Secondary

 

1.09[0.74–1.60]

  

1.06[0.75–1.50]

   Higher

 

1[1]

  

1[1]

  Wealth quintile

     

   Poor

 

0.81*[0.79–0.94]

  

0.80**[0.78–0.91]

   Middle

 

0.89[0.75–1.06]

  

0.88[0.74–1.05]

   Rich

 

1[1]

  

1[1]

  Mosquito bite causes malaria

     

   No

 

0.85*[0.74–0.97]

  

0.84*[0.73–0.96]

   Yes

 

1[1]

  

1[1]

  Sleeping under ITN prevents malaria

     

   No

 

1[1]

  

1[1]

   Yes

 

1.23**[1.06–1.43]

  

1.22*[1.04–1.43]

  Destroying mosquito breeding site prevents malaria

     

   No

 

1.16[0.97–1.39]

  

1.165[0.96–1.41]

   Yes

 

1[1]

  

1[1]

 Community level factors

     

  Residential status

     

   Urban

  

0.69***[0.31–0.88]

 

0.60***[0.46–0.82]

   Rural

  

0.78*[0.68–0.96]

 

0.80[0.61–1.05]

   Refugee settlement

  

1[1]

 

1[1]

  Zone

     

   Southern

  

1[1]

 

1[1]

   Eastern

  

1.05[0.74–1.49]

 

1.07[0.71–1.61]

   Northern

  

1.08[0.73–1.61]

 

1.12[0.68–1.83]

   Western

  

1.19[0.84–1.68]

 

1.22[0.81–1.84]

  Socio-economic disadvantage

     

   Tertile 1(least disadvantaged)

  

1[1]

 

1[1]

   Tertile 2

  

0.87[0.72–1.05]

 

0.91[0.73–1.12]

   Tertile 3(most disadvantaged)

  

0.71*[0.65–0.92]

 

0.67**[0.50–0.86]

 Region level factor

     

  Socio-economic disadvantage

     

   Tertile 1(least disadvantaged)

   

1[1]

1[1]

   Tertile 2

   

0.71**[0.51–0.89]

0.68***[0.54–0.82]

   Tertile 3(most disadvantaged)

   

0.55**[0.39–0.78]

0.59***[0.48–0.78]

Random effects

     

 Region level

     

  Variance (SE)

1.13[1.06–1.20]

1.14[1.04–1.21]

1.12[1.05–1.20]

1.15[1.07–1.21]

1.14[1.06–1.20]

  ICC (%)

18.00[15.01–22.90]

17.72[15.20-19.08]

16.33[15.21-9.00]

17.10[16.91–18.70]

18.22[17.90-19.02]

  MOR

2.76[2.03–3.42]

2.77[2.65–2.86]

2.74[2.66–2.84]

2.78[2.68–2.86]

2.89[2.33–3.51]

  Explained variation

[1]

35.72[29.06–41.20]

31.03[27.61–37.31]

33.20[27.31–37.28]

30.82[26.97–37.91]

 Community level

     

  Variance (SE)

1.86[1.12–2.18]

2.00[1.71–2.31]

1.98[1.14–2.20]

1.59[1.22–1.98]

1.99[1.42–2.36]

  ICC (%)

47.60[39.8–50.7]

49.80[37.98–53.70]

48.50[36.90-59.08]

48.40[37.00-51.20]

49.22[38.99–52.51]

  MOR

3.67[2.74–4.09]

3.85[3.48–4.26]

3.83[2.77–4.12]

3.33[2.87–3.83]

3.84[3.12–4.33]

  Explained variation

[1]

52.00[46.30–59.80]

48.99[41.40-55.81]

47.89[38.21–52.55]

48.70[43.00–52.00]

 Model fit statistics

     

  Bayesian DIC

5839

6002

5998

6010

6012

   N

     

  Region level

15

15

15

15

15

  Community level

340

340

340

340

340

  Individual

4254

4254

4254

4254

4254

  1. * p < 0.05, ** p < 0.01, *** p < 0.001; aOR = adjusted Odds Ratio; CrI = Credible Interval; ICC = Intra-cluster correlation; MOR = Median Odds Ratio; 1 = reference