Skip to main content

Table 1 Study population characteristics (proportions)

From: Evaluating the effect of maternal mHealth text messages on uptake of maternal and child health care services in South Africa: a multicentre cohort intervention study

 

Intervention

n = 87

Control

n = 90

Overall

p value

Nationality

 South African

0.45 (0.26–0.65)

0.29 (0.23–0.36)

0.04

 Zimbabwe

0.54 (0.37–0.70)

0.57 (0.50–0.63)

 Other nationality

0.01 (0.00–0.14)

0.14 (0.12–0.17)

Highest level of education

 Completed secondary school or higher

0.55 (0.48–0.62)

0.52 (0.47–0.57)

0.40

Home language

 IsiNdebele

0.45 (0.30–0.61)

0.31 (0.16–0.52)

0.20

 IsiZulu

0.26 (0.22–0.31)

0.28 (0.22–0.35)

 Other

0.29 (0.18–0.42)

0.41 (0.29–0.55)

Employment status

 Employed full-time

0.24 (0.21–0.28)

0.33 (0.25–0.42)

0.32

 Employed part-time

0.25 (0.23–0.27)

0.16 (0.04–0.44)

 Unemployed

0.46 (0.45–0.47)

0.49 (0.42–0.56)

 Other

0.05 (0.01–0.17)

0.02 (0.00–0.14)

Average monthly household income

 Under R1300

0.13 (0.09–0.17)

0.14 (0.08–0.24)

0.33

 R1300–R2000

0.10 (0.07–0.15)

0.08 (0.05–0.11)

 R2001–R3000

0.10 (0.04–0.23)

0.18 (0.11–0.28)

 R3001–R4000

0.22 (0.16–0.29)

0.16 (0.07–0.31)

 Over R4001

0.45 (0.30–0.61)

0.44 (0.42–0.47)

Parity

 2 or more prior children

0.18 (0.12–0.26)

0.30 (0.18–0.46)

0.10

 Less than 2 prior children

0.82 (0.72–0.89)

0.70 (0.59–0.79)