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HEALTH_AND_WELL-BEING
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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: gift loans credit_diaries
Cases
48982
Variables
77
Variables
glc_oid
ID of the gifts loan credit
glc_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
glc_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
glc_q02
type of transaction
glc_q03_01
how much:cash
glc_q03_02
how much:bank transfer
glc_q03_03
how much:mpesa
glc_q03_04
how much:mtiba
glc_q03_05
how much:total
glc_q03_05_in
total money in
glc_q03_05_out
total money out
glc_q04
q04 to whom or from whom
glc_q04_spy
q04 to whom or from whom
glc_q05_01
monday
glc_q05_02
tuesday
glc_q05_03
wednesday
glc_q05_04
thursady
glc_q05_05
friday
glc_q05_06
saturday
glc_q05_07
sunday
glc_q05_08
whole week
glc_q05_98
don't know
glc_q06_01
wedding
glc_q06_02
remittances
glc_q06_03
naming ceremony
glc_q06_04
giving birth
glc_q06_05
funeral
glc_q06_06
festivals
glc_q06_07
luxury goods/electronics
glc_q06_08
drinks/snacks
glc_q06_09
tobacco/alcohol
glc_q06_10
school expenses
glc_q06_11
health related expenses
glc_q06_12
transport for health
glc_q06_13
transport (other than health)
glc_q06_14
food
glc_q06_15
clothing
glc_q06_16
rent for house
glc_q06_17
rent for shop
glc_q06_18
to buy house
glc_q06_19
household supplies
glc_q06_20
house investments
glc_q06_21
damaged assets
glc_q06_22
furniture
glc_q06_23
house repairs
glc_q06_24
farming inputs
glc_q06_96
glc_q06_26
livestock
glc_q06_27
business inventory
glc_q06_28
business investment
glc_q06_29
travel
glc_q06_30
pilgrimage
glc_q06_31
gifts for friends relatives
glc_q06_32
political support
glc_q06_33
to buy motorbike or car
glc_q06_34
vehicle maintenance
glc_q06_35
to buy computer
glc_q06_36
repayment of other loan/credit
glc_q06_37
unexpected expenses/emergencies/for a rainy day
glc_q06_38
daily expenses/nothing specific
glc_q06_39
secret, do not want to reveal
glc_q06_40
regular contribution to church/mosque
glc_q06_41
from employer
glc_q06_96spy
other specify
Total: 77
