Enhancing Universal Health Coverage in Kenya through Digital Innovations: A Financial and Health Diaries evaluation study of the i-PUSH program, iPUSH-MIDLINE

Kenya, 2020
Health and Well-Being (HaW)

Estelle M. Sidze, Hermann Donfouet, Wendy Janssens, Menno Pradhan,

CSV JSON

distance (mod12_q1212_02)

Data file: household diaries_midline

Overview

vald 670

invd 0

Interval discrete

Decimal 0

Range -9 - 9999995

Questions and instructions

Literal question

Why is [ [pref_11_name]] your preferred clinic?

Categories

Value	Category	Cases
-9	NIU (not in universe)	26	3.9%
1	yes	363	54.2%
2	no	281	41.9%
9999995	missing:impute	0	0%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Question pretext

Question post text

Interviewer instructions

Description

Text

The reasons the individual preffered the mentioned clinic_distance

Universe

A household with a woman of reproductive age (18-49) who has at least one child below age 5 years that is living with her or pregnant.