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Table 1 Individual and Socio-demographic risk factors for maternal mortality in a tertiary hospital in Kenya from January 2004 to March 2011

From: Risk factors for maternal mortality in a Tertiary Hospital in Kenya: a case control study

Individual and socio-demographic characteristics

Risk factor

Cases n = 150 n (%)

Controls n = 300n (%)

Unadjusted OR (95% CI)

Adjusted OR (95% CI)a

P-value

Age

    

<0.0001

15–24 years

66(44)

147(49)

1

1

 

25–34 years

54(36)

129(43)

1.1(0.7–1.6)

1.4(0.9–2.4)

 

35–45 years

30(20)

24(8)

3.0(1.6–5.6)

3.1(1.5–6.2)

 

Marital status

     

Married

111(74)

240(80)

1

  

Single

39(26)

60(20)

1.4(0.9–2.2)

  

Mother’s education

    

<0.0001

None

31(23)

17(6)

8.5(4.3–17.0)

8.0(4.0–16.3)

 

Primary

66(50)

108(37)

2.9(1.8–4.6)

2.9(1.8–4.7)

 

Secondary

36(27)

168(57)

1

1

 

Spouse’s education*

     

None

20(22)

14(6)

5.9(2.8–12.7)

  

Primary

30(33)

46(20)

2.7(1.5–4.8)

  

Secondary

40(44)

166(74)

1

  

Occupation of mother

     

Unemployed

106(71)

176(59)

1

  

Formal employment

28(19)

88(29)

0.5(0.3–0.9)

  

Informal employment

15(10)

35(12)

0.7(0.4–1.4)

  

Occupation of spouse

     

Informal employment

59(41)

124(42)

1

  

Formal employment

47(32)

114(38)

0.9 (0.5–1.3)

  

NA

39(27)

60(20)

1.4(0.8–2.3)

  

Funding for delivery

     

Self

105(70)

210(70)

1

  

Insurance

16(11)

47(16)

0.7(0.4–1.3)

  

Waiver

28(19)

43(14)

1.3(0.8–2.2)

  
  1. *Spouse’s education was not included in the multiple regression model due to high cases of missing data and correlation with mothers education.
  2. aAdjusted for variables included in the final demographic model.
  3. P- value for Likelihood Ratio Test in the adjusted model.
  4. Reference category for logistic regression represented by 1.
  5. Numbers may not add to total sample due to missing values.