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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: savings_diaries
Cases
39511
Variables
74
Variables
svg_oid
ID of the savings
svg_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
svg_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
svg_q02
q02 kind of transaction
svg_q03_01
how much:cash
svg_q03_02
how much:bank transfer
svg_q03_03
how much:mpesa
svg_q03_04
how much:mtiba
svg_q03_05
how much:total
svg_q04
q04 where the money was saved/withdrawn
svg_q04_spy
q04 where the money was saved/withdrawn
svg_q05_01
monday
svg_q05_02
tuesday
svg_q05_03
wednesday
svg_q05_04
thursady
svg_q05_05
friday
svg_q05_06
saturday
svg_q05_07
sunday
svg_q05_08
whole week
svg_q05_98
don't know
svg_q06_01
wedding
svg_q06_02
remittances
svg_q06_03
naming ceremony
svg_q06_04
giving birth
svg_q06_05
funeral
svg_q06_06
festivals
svg_q06_07
luxury goods/electronics
svg_q06_08
drinks/snacks
svg_q06_09
tobacco/alcohol
svg_q06_10
school expenses
svg_q06_11
health related expenses
svg_q06_12
transport for health
svg_q06_13
transport (other than health)
svg_q06_14
food
svg_q06_15
clothing
svg_q06_16
rent for house
svg_q06_17
rent for shop
svg_q06_18
to buy house
svg_q06_19
household supplies
svg_q06_20
house investments
svg_q06_21
damaged assets
svg_q06_22
furniture
svg_q06_23
house repairs
svg_q06_24
farming inputs
svg_q06_25
other
svg_q06_26
livestock
svg_q06_27
business inventory
svg_q06_28
business investment
svg_q06_29
travel
svg_q06_30
pilgrimage
svg_q06_31
gifts for friends relatives
svg_q06_32
political support
svg_q06_33
to buy motorbike or car
svg_q06_34
vehicle maintenance
svg_q06_35
to buy computer
svg_q06_36
repayment of other loan/credit
svg_q06_37
unexpected expenses/emergencies/for a rainy day
svg_q06_38
daily expenses/nothing specific
svg_q06_39
secret, do not want to reveal
svg_q06_40
regular contribution to church/mosque
svg_q06_41
from employer
Total: 74
