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
Health_and_Well-Being

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
Last modified December 04, 2024 Page views 14491 Documentation in PDF Metadata DDI/XML JSON
  • 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: 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
APHRC Microdata Portal

© APHRC Microdata Portal, All Rights Reserved. Slot Online