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Table 4 Multiple Logistic regression showing the relationship between respondent’s willingness to pay and their demographic characteristics

From: Improving the first-line treatment of febrile illnesses in Ghana: willingness to pay for malaria rapid diagnostic tests at licensed chemical shops in the Kintampo area

 

Odds ratio

S. E

p value

95% CI

Gender

 Male

1

   

 Female

5.20

6.15

0.16

0.51–52.85

Age

 Below 26 years

1

   

 26 years and above

2.68

3.54

0.46

0.20–35.74

Educational level

 No formal education

1

   

 Formal education

2.01

2.67

0.60

0.15–27.39

NHIS status

 No

1

   

 Yes

0.17

0.21

0.15

0.14–1.92

Socio-economic status

 Lowest

1

   

 Middle

0.94

1.42

0.96

0.49–18.19

 Highest

0.16

0.22

0.18

0.11–2.36

Marital status

 Single

1

   

 Married

3.47

4.81

0.37

0.23–52.35

Number of children

 None

1

   

 1–5 children

0.34

0.74

0.62

0.01–24.15

 6 children and above

0.18

0.44

0.49

0.01–23.17

  1. S. E Standard error, CI confidence interval
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Cost Effectiveness and Resource Allocation

ISSN: 1478-7547

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