Using a Decision-Support Smartphone application to enhance Community Health Volunteers’ effectiveness in reducing Maternal complications and reducing Newborn Deaths in the informal settlements of Nairobi, Kenya, Community Health Volunteers’ Decision Suppo

Kenya, 2016 - 2020
Health and Well-Being (HaW)

Pauline Bakibinga

CSV JSON

5.30 Why was he/she hospitalized? (q5_30)

Data file: woman_final

Overview

vald 27

invd 852

Interval discrete

Decimal 0

Range 1 - 96

Questions and instructions

Literal question

Why was he/she hospitalized?

Categories

Value	Category	Cases
1	Preterm/small baby	0	0%
2	Low birthweight	1	3.7%
3	Infection	2	7.4%
4	Birth complication	3	11.1%
96	Other (Specify)	21	77.8%
Sysmiss		852

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

Reason why child was hospitalized

Universe

Women of reproductive age (Pregnant women and women with children 1 year)