Skip to main content

Table 1 Characteristics of women in countries under study

From: Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models

Variables

DRC

N(8,545)

* n(%)

Kenya

N(6,432)

* n(%)

Tanzania

N(6,664)

*n(%)

Place of residence

   

Urban

3,083(35.8)

2,524(39.8)

2,004(30.1)

Rural

5,539(64.2)

3,820(60.2)

4,663(69.9)

Maternal age-group

   

Young women (15–24 years)

2,607(30.2)

1,849(29.2)

2,175(32.6)

Older women (25–49 years)

6,015(69.8)

4,495(70.8)

4,492(67.4)

Relationship status

   

Has no current partner

1,295(15.0)

1,161(18.3)

1,287(19.3)

Has current partner

7,327(85.0)

5,183(81.7)

5,380(80.7)

Maternal education

   

Primary and below

4,870(56.5)

4,005(63.1)

5,573(83.6)

Secondary and above

3,752(43.5)

2,339(36.9)

1,093(16.4)

Birth order

   

One

3,998(46.4)

4,392(69.2)

4,232(63.5)

Two

3,711(43.0)

1,690(26.6)

2,120(31.8)

Three or more

913(10.6)

262(4.2)

315(4.7)

Exposure to mass media

   

No

7,497(87.1)

1,296(20.4)

2,201(33.0)

Yes

1,115(12.9)

5,048(79.6)

4,465(67.0)

Access to money for medication

   

No big problem

2,568(29.8)

3,867(60.9)

3,176(47.6)

Big problem

6,052(70.2)

2,474(39.1)

3,491(52.4)

Travel distance for medication

   

No big problem

5,228(60.7)

4,769(75.2)

3,658(54.9)

Big problem

3,391(39.3)

1,573(24.8)

3,009(45.1)

Household head

   

Male

6,895(80.0)

4,373(68.9)

5,429(81.4)

Female

1,727(20.0)

1,971(31.1)

1,238(18.6)

Household size

   

4 or less

2,021(23.4)

2,617(41.3)

1,803(27.0)

5 or more

6,601(76.6)

3,727(58.8)

4.864(73.0)

Household wealth

   

Poor

3,391(39.3)

2,379(37.5)

2,772(41.6)

Middle

1,724(20.0)

1,180(18.6)

1,258(18.9)

Rich

3,507(40.7)

2,784(43.4)

2,636(39.5)

  1. * n(%) weighted counts and proportions of the variable