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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
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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: willingness to pay game_games_endline
Cases
514
Variables
35
Variables
individual_id
individual id system genereted
county
name of the county
sub_county
name of the sub county
village_name
name of the village
village_type
village type
intvwdate
interview date:date interview was initiated
respondent
respondent type
a500
i would definitely pay 500 per year
a1000
i would definitely pay 1000 per year
a2000
i would definitely pay 2000 per year
a2500
i would definitely pay 2500 per year
a3000
i would definitely pay 3000 per year
a3500
i would definitely pay 3500 per year
a4000
i would definitely pay 4000 per year
a4500
i would definitely pay 4500 per year
a5000
i would definitely pay 5000 per year
a5500
i would definitely pay 5500 per year
a6000
i would definitely pay 6000 per year
b500
are you sure Ksh 500 is too much for you
b1000
are you sure Ksh 1000 is too much for you
b2000
are you sure Ksh 2000 is too much for you
b2500
are you sure Ksh 2500 is too much for you
b3000
are you sure Ksh 3000 is too much for you
b3500
are you sure Ksh 3500 is too much for you
b4000
are you sure Ksh 4000 is too much for you
b4500
are you sure Ksh 4500 is too much for you
b5000
are you sure Ksh 5000 is too much for you
b5500
are you sure Ksh 5500 is too much for you
b6000
are you sure Ksh 6000 is too much for you
lowerbound
LowerBound
upperbound
UpperBound
maximumamount
MaximumAmount
ind_gender
respondent's gender
ind_aged18
respondent's aged 18 years
intervewdate
IntervewDate
Total: 35