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Table 2 Percentage distribution of the sample characteristics by WDA density

From: Correlates of the Women’s Development Army strategy implementation strength with household reproductive, maternal, newborn and child healthcare practices: a cross-sectional study in four regions of Ethiopia

Characteristics

Category

WDA density

Total

*p-value

Lower

Moderate

Higher

Age group

15–19

9

9

9

9

0.574

20–24

22

23

23

22

 

25–34

46

49

46

47

 

35–49

23

20

22

22

 

Education

Cannot read

60

58

62

60

0.336

Primary

22

22

23

22

 

Higher

18

20

16

18

 

Marital status

Other

6

7

7

7

0.319

Married/in union

94

93

93

93

 

Number of children

0

4

5

4

5

0.151

1

21

20

24

22

 

2

15

15

15

15

 

3

13

14

15

14

 

4+

46

45

42

45

 

Wealth quintile

Lowest

18

18

27

20

0.008

Second

19

19

24

20

 

Middle

20

21

18

20

 

Fourth

22

20

19

20

 

Highest

22

22

14

20

 

Distance to any health facility

< 30 min

52

55

55

54

0.493

30 to 59 min

33

28

31

30

 

1+ hours

16

17

14

16

 

Religion

Orthodox

50

55

75

58

0.005

Protestant

26

17

12

19

 

Muslim

24

27

13

22

 

Other

1

2

0

1

 

Region

Tigray

12

17

25

18

< 0.001

Amhara

24

26

46

30

 

Oromia

26

25

21

25

 

SNNP

38

31

9

28

 

L10 K area

No

17

12

22

16

0.115

Yes

83

88

78

84

 

HEW density (population per HEW in kebele)

2499

39

44

49

44

0.690

2500 to 3499

30

29

26

29

 

3500 to 4999

15

17

17

16

 

5000+

16

10

8

12

 

Women of reproductive sample

No

56

55

57

56

0.305

Yes

44

45

43

44

 

Women with children 0 to 11 months sample

No

59

60

58

59

0.205

Yes

41

40

42

41

 

Women with children 12 to 23 months sample

No

59

60

59

59

0.076

Yes

41

40

42

41

 

Number of kebele

 

147

173

103

423

 

Number of respondents

 

4249

5135

2997

12,381

 
  1. HEW Health extension worker, SNNP Southern Nations, Nationalities and Peoples, WDA Women’s Development Army
  2. *p-values are for the chi-square statistics testing the null hypothesis that the sample characteristics are similar between the different levels of WDA density categories