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

Heavy bleeding after birth (q4_11_3)

Data file: woman_final

Overview

vald 100

invd 779

Interval discrete

Decimal 0

Range 1 - 99

Questions and instructions

Literal question

Who identifed or diagnosed the above symptoms you mentioned in Qn 4.10? - Heavy bleeding after birth

Categories

Value	Category	Cases
1	Self diagnosis	50	50%
2	Partner/Spouse/hh member	0	0%
3	Medical doctor in hosipital	48	48%
4	CHV during home visit	0	0%
96	Other (Specify)	2	2%
99	NA	0	0%
Sysmiss		779

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

FW INSTRUCTION: Selected the apporpriate code

Description

Text

Who identifed or diagnosed Heavy bleeding after birth symptoms

Universe

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