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Table 3 GLM regression results for the predictors of the total household cost of malaria episodes resulting in hospitalization in Malawi, 2012 (N = 80)

From: Household costs among patients hospitalized with malaria: evidence from a national survey in Malawi, 2012

 

Coefficient (β)

Robust standard error

Ratio of arithmetic meansa

95% confidence interval

p value

Full model

Sex (female vs. male)

0.48

0.47

1.62

0.65

4.06

0.302

Age < 5 years vs. ≥ 5 years

−0.51

0.08

0.60

0.51

0.71

< 0.01

Wealth tertile, middle vs. least poor and poorest

−0.54

−4.18

0.59

0.46

0.75

< 0.01

Wealth tertile, poorest vs. least poor and middle

−0.45

−2.58

0.64

0.45

0.90

0.01

CHAM vs. MoH

0.40

0.05

1.49

1.35

1.65

< 0.01

Rural vs. urban residence

−0.20

0.27

0.82

0.48

1.38

0.456

Days in hospital

0.02

0.00

1.02

1.01

1.03

< 0.01

Distance to health facility (< 5 km vs. ≥ 5 km)

−0.64

0.26

0.53

0.31

0.88

0.015

Restricted model

Age < 5 years vs. ≥ 5 years

−0.51

0.09

0.60

0.51

0.71

< 0.01

Wealth tertile, least poor vs. middle and poorest

0.60

0.08

1.82

1.57

2.11

< 0.01

CHAM vs. MoH

0.42

0.06

1.52

1.36

1.70

< 0.01

Days in hospital

0.02

0.01

1.02

1.00

1.04

0.03

Distance to health facility (< 5 km vs. ≥ 5 km)

−0.50

0.05

0.61

0.55

0.67

< 0.01

  1. MoH Ministry of Health, CHAM Christian Health Association of Malawi
  2. aExponentiated coefficient βi; multiplicative effect of variable on total household cost