Table 1 Table 1 Socio-demographic characteristics of the study participants (N = 885).

From: Optimizing machine learning models for predicting health service access and determinants among pregnant women in rural Ethiopia

Variable

Category

Frequency

Column %

Health service access

Big problem/No access

No big- problem/ Access

Frequency

Row%

Frequency

Row%

Age in 5-year groups

15–19(1)

92

10.4%

65

70.7%

27

29.3%

20–24(2)

236

26.7%

175

74.2%

61

25.8%

25–29(3)

247

27.9%

190

76.9%

57

23.1%

30–34(4)

174

19.7%

134

77.0%

40

23.0%

35–39(5)

100

11.3%

77

77.0%

23

23.0%

40–44(6)

30

3.39%

25

83.3%

5

16.7%

45–49(7)

6

0.68%

3

50.0%

3

50.0%

Wealth index combined

Poorest(1)

386

43.6%

329

85.2%

57

14.8%

Poorer(2)

183

20.7%

142

77.6%

41

22.4%

Middle(3)

143

16.2%

100

69.9%

43

30.1%

Richer(4)

129

14.6%

81

62.8%

48

37.2%

Richest(5)

44

5.0%

17

38.6%

27

61.4%

Region

Tigray(1)

70

7.9%

46

65.7%

24

34.3%

Afar(2)

115

13.0%

96

83.5%

19

16.5%

Amhara(3)

90

10.2%

49

54.4%

41

45.6%

Oromia(4)

142

16.1%

126

88.7%

16

11.3%

Somali(5)

143

16.2%

115

80.4%

28

19.6%

Benishangul(6)

75

8.5%

56

74.7%

19

25.3%

SNNPR(7)

128

14.5%

100

78.1%

28

21.9%

Gambela(8)

44

5.0%

34

77.3%

10

22.7%

Harare(9)

52

6.0%

22

42.3%

30

57.7%

Addis Ababa(10)

0

0%

0

0.0%

0

0.0%

Dire Dawa(11)

26

2.9%

25

96.2%

1

3.8%

Highest educational level

No education(0)

578

65.3%

455

78.7%

123

21.3%

Primary(1)

258

29.2%

188

72.9%

70

27.1%

Secondary(2)

38

4.3%

21

55.3%

17

44.7%

Higher(3)

11

1.2%

5

45.5%

6

54.5%

Sex of household head

Male(1)

733

82.8%

549

74.9%

184

25.1%

Female(2)

152

17.2%

120

78.9%

32

21.1%

Marital status

Single(0)

7

0.8%

5

71.4%

2

28.6%

Married(1)

860

97.2%

650

75.6%

210

24.4%

Divorced(2)

18

2.0%

14

77.8%

4

22.2%