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Table 2 Distribution of participants by birth in health facility intention and factors affecting their intention (Chi-Square) among pregnant women

From: Using the theory of planned behavior to explain birth in health facility intention among expecting couples in a rural setting Rukwa Tanzania: a cross-sectional survey

Variables

Have intention

No intention

X2

p-value

n (%)

n (%)

Age groups

 Less than 20

93 (92.1)

8 (8.9)

  

 21 to 25

138 (89.6)

16 (10.4)

  

 26 to 30

106 (93.8)

7 (6.2)

  

 31 to 35

68 (90.7)

7 (9.3)

  

 36+

93 (90.3)

10 (9.7)

1.672b

0.796

Ethnic group

 Fipa

299 (88.2)

40 (11.8)

  

 Mambwe

111 (99.1)

1 (0.9)

  

 Others

88 (92.6)

7 (7.4)

2.432a

0.296

Education level

 No formal

178 (91.8)

16 (8.2)

  

 Primary school

296 (91.4)

28 (8.6)

  

 Secondary school or higher

24 (85.7)

4 (14.3)

1.135b

0.567

Economic status

 Less than one dollar/dollar

351 (91.2)

34 (8.8)

  

 At least one dollar/day

147 (91.3)

14 (8.7)

.003c

0.959

Own a mobile phone

 Yes

146 (86.9)

22 (13.1)

  

 No

352 (93.1)

26 (6.9)

5.606c

0.018

Walking distance

 Less than 1 kilometer

238 (91.5)

22 (8.5)

  

 1–5 kilometers

206 (89.6)

24 (10.4)

  

 More than 5 kilometers

54 (96.4)

2 (3.6)

2.713b

0.258

Characteristic of health Facility

 Dispensary

417 (92.5)

34 (7.5)

  

 Health center

81 (85.3)

14 (14.7)

5.070c

0.024

Covered with health insurance

 Yes

157 (93.5)

11 (6.5)

  

 No

341 (90.2)

37 (9.8)

1.523c

0.217

Parity

 Para 0

104 (88.1)

14 (11.9)

  

 Para 1–4

297 (91.7)

27 (8.3)

  

 Para 5+

97 (93.3)

7 (6.7)

2.025b

0.363

  1. When these factors were assessed among male partners, ethnic groups (p = 0.002), education level (p < 0.011) and covered with health insurance (p = 0.009) were variables which significantly influenced birth in health facility intention (Table 3)