Login
Login
APHRC Online Microdata Library
Home
About APHRC
Datasets
Collections
Citations
Resources
How to use it?
Why sharing data?
Contact us
Home
/
Central Data Catalog
/
HEALTH_AND_WELL-BEING
/
DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01
Enhancing Universal Health Coverage in Kenya through Digital Innovations: A Financial and Health Diaries evaluation study of the i-PUSH program, iPUSH- BASELINE
KENYA
,
2019 - 2020
Health and Well-Being (HaW)
Estelle M. Sidze, Hermann Donfouet, Wendy Janssens, Menno Pradhan
Study description
Documentation
Data Description
Get Microdata
Data files
household
anthroprometrics_baseline
household
health of the
children_baseline
household
health
outcomes_baseline
household
healthcare
utilization_baseline
household
housing
assets_baseline
household
schedule_baseline
household
social
demographics_baseline
household
diaries_endline
household
education_endline
household
employment and
income_endline
household
financial
assets
borrowed_endline
household
anthrops_baseline
household
financial
assets
finsavings_endline
household
financial
assets
lent_endline
household food
consumption_endline
household
health
outcomes_endline
household
healthcare
insurance_endline
household
healthcare
utilization_endline
household
housing
assets_endline
household
kakamega
endline_endline
household
savings_endline
household
schedule
new_endline
household
baseline_baseline
household
schedule_endline
household socio
demographics_endline
income
hiding_game_baseline
men self
efficacy_game_baseline
risk preference
game_game_baseline
women
empowerment
game_game_baseline
women
empowerment
module_game_baseline
income
hiding_games_endline
men self
efficacy_games_endline
risk preference
game_games_endline
household
diaries_baseline
willingness to
pay
game_games_endline
women
empowerment
game_games_endline
household
anthroprometrics_midline
household
diaries_midline
household
education_midline
household
employment and
income_midline
household food
consumption_midline
household
health
outcomes_midline
household
healthcare
insurance_midline
household
healthcare
utilization_midline
household
education_baseline
household
housing
assets_midline
household
midline_endline_midline
household
schedule_midline
household
social
demographics_midline
consultation
visits_diaries
covid 19
healthcare
utilization_diaries
covid19 health
problems_diaries
expenditure_diaries
food
consumption_diaries
gift loans
credit_diaries
household
employment and
income_baseline
health
problems_diaries
household
obsevation
class_diaries
income running
totals_diaries
income sales
sevices_diaries
individual
status_diaries
mental
health_diaries
post
birth_diaries
postnatal
depression_diaries
pregnancy_diaries
savings_diaries
household
financial
assets
borrowed_baseline
household
financial
assets
finsavings_baseline
household food
consumption_baseline
Data file: expenditure_diaries
Cases
36219
Variables
88
Variables
gns_oid
ID of the expenditure
gns_obsid
observation id
household_id
individual_id
individual id system genereted
county
name of the county
village
village
villagetype
type of the village
intvwdate
interview date:date interview was initiated
gns_date_simple
date of interview
year
week
diaries week
age
age (in years) of individual at last birthday
dateofbirth_simple
individual's date of birth
age_group
age groups
ind_relationship
individual relationship to the hhh
gender
gender of individual
gns_q02
q02 money in
gns_q03coded_01
wedding
gns_q03coded_02
remittances
gns_q03coded_03
naming ceremony
gns_q03coded_04
giving birth
gns_q03coded_05
funeral
gns_q03coded_06
festivals
gns_q03coded_07
luxury goods/electronics
gns_q03coded_08
drinks/snacks
gns_q03coded_09
tobacco/alcohol
gns_q03coded_10
school expenses
gns_q03coded_11
health related expenses
gns_q03coded_12
transport for health
gns_q03coded_13
transport (other than health)
gns_q03coded_14
food
gns_q03coded_15
clothing
gns_q03coded_16
rent for house
gns_q03coded_17
rent for shop
gns_q03coded_18
to buy house
gns_q03coded_19
household supplies
gns_q03coded_20
house investments
gns_q03coded_21
damaged assets
gns_q03coded_22
furniture
gns_q03coded_23
house repairs
gns_q03coded_24
farming inputs
gns_q03coded_25
livestock
gns_q03coded_26
business inventory
gns_q03coded_27
business investment
gns_q03coded_28
travel
gns_q03coded_29
pilgrimage
gns_q03coded_30
gifts for friends relatives
gns_q03coded_31
political support
gns_q03coded_32
to buy motorbike or car
gns_q03coded_33
vehicle maintenance
gns_q03coded_34
to buy computer
gns_q03coded_35
repayment of other loan/credit
gns_q03coded_36
unexpected expenses/emergencies/for a rainy day
gns_q03coded_37
daily expenses/nothing specific
gns_q03coded_38
secret, do not want to reveal
gns_q03coded_39
regular contribution to church/mosque
gns_q03coded_40
from employer
gns_q03coded_42
personal effects
gns_q03coded_43
none
gns_q03coded_44
airtime
gns_q03coded_45
electricity bills
gns_q03coded_46
water
gns_q03coded_47
face mask, hand sanitizer
gns_q03coded_48
cooking fuel
gns_q03coded_49
motorbike maintenance
gns_q03coded_50
TV subscription
gns_q03coded_51
new house construction
gns_q03coded_52
fuel consumption
gns_q03coded_53
betting
gns_q03coded_54
payment of casual labourers
gns_q03coded_96
other
gns_q03coded_96spy
other_specified
gns_q04_01
monday
gns_q04_02
tuesday
gns_q04_03
wednesday
gns_q04_04
thursady
gns_q04_05
friday
gns_q04_06
saturday
gns_q04_07
sunday
gns_q04_08
whole week
gns_q04_98
don't know
gns_q05_01
how much:cash
gns_q05_02
how much:bank transfer
gns_q05_03
how much:credit/loan
gns_q05_04
how much:mpesa
gns_q05_05
how much:mtiba
gns_q05_06
how much:total
gns_q06
q06 reason for the expenditure
Total: 88