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Table 3 Multiple logistic regression analysis of predictors of Household access to paediatric malaria treatment

From: Household characteristics as predictors of access to paediatric malaria treatment in Homa-Bay County, Kenya

Predictor

Coeff.

OR

95% CI

p-value

Place of residence

 Urban

0.997

0.37

(− 1.516, − 4.780)

< 0.001

Education

 Primary

1.396

0.25

(− 2.411, − 0.380)

0.007

 Secondary

1.969

0.14

(− 3.001, − 0.932)

< 0.001

 Post-secondary

1.291

0.28

(− 2.466, − 0.114)

0.032

Occupation

 Farming

0.609

0.54

(− 1.643, 0.424)

0.248

 Salaried employment

0.300

0.74

(− 1.312, 0.713)

0.562

 Self-employment

0.608

0.54

(− 1.499, 0.284)

0.181

Monthly income (Kshs)

 5000–10,000

0.197

0.82

(− 1.771, 0.380)

0.502

 10,000–3,0000

1.147

0.32

(− 2.139, − 1.554)

0.023

 30,000–50,000

0.584

1.79

(− 0.478, 1.647)

0.281

 > 50,000

0.515

1.67

(− 1.813, − 0.843)

0.447

Source of information on malaria

 Peers

2.930

18.736

(0.825, 5.036)

0.006

 Hospital

1.625

5.079

(− 0.102, 3.353)

0.065

 Media

1.385

4.000

(− 0.325, − 3.096)

0.112

 Pharmacy

1.603

4.968

(− 0.383, − 3.589)

0.114

 Public health officers

0.667

1.948

(− 1.191, − 2.525)

0.482

Time to care seeking

 Delayed

− 0.351

0.704

(− 0.848, 0.146)

0.116