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DDI-KEN-APHRC-GBV-2018-V1.0
Improving the timeliness of administering birth dose vaccines using a digital platform in Nairobi slums., ChanjoBora
KENYA
,
2019
Health and Well-Being (HaW)
Gershim Asiki, Ph.D., Hermann Pythagore Pierre Donfouet, PhD
Study description
Documentation
Data Description
Get Microdata
Data files
birth_dose_analytical_data_set_po
Data file: birth_dose_analytical_data_set_po
N/A
Cases
574
Variables
57
Variables
mid
Household id
mname
mothers name
childid
child id
locid
Location ID (DSS No.) of the mother
locid2
Structure No
sua
Sub Unit Area
site2
Study site
ea
Enumeration area
village
Village
chv
CHV name
status
Member status
idate
Delivery update date
dob
Actual Delivery date
year
year of birth
month
month of birth
day
day of birth
datebirth
mothers dob
hf_pref
Preferred Health facility
hf_actual
Actual Delivery Health Facility
sms1
1st SMS date
sms2
2nd SMS date
sms3
3rd SMS date
bcgdate
BCG Vacc date
opvdate
OPV Vacc date
treat
intervention
card
vac card
relation
mother
died
alive
sex
sex
dateintodsa
date born/enumerated/inmigrated into DSA (%td format)
firstevent
type of first event (born/enumerated/inmigrated)
dateoutofdsa
date died/outmigrated/still resident in DSA (%td format)
lastevent
type of last event (died/outmigrated/still resident)
durstay_years
complete years of residence in DSA
ethnic
ethnic
comm_unit
Community unit
block
blocks
datee
date of intervention
period
period of enrollment
bcgt7
timely bcg
opvt7
timely opv
id
hhid
ID of NUHDSS household at start event
calendar
calendar year of event
event
residency event
locationid
ID of NUHDSS location
slumarea
slum area in NUHDSS
name
full name of NUHDSS individual
wealthtertile
wealth tertile
wealthquintile
wealth quintile
edulevel
highest level of school ever attended
maritalstatus
current marital status
delivplace
place of delivery/pregnancy termination
m_agecat
mothers age
edulevel2
RECODE of edulevel (highest level of school ever attended)
marital2
RECODE of maritalstatus (current marital status)
wi3
RECODE of wealthtertile (wealth tertile)
Total: 57