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    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 14251 Documentation in PDF Metadata DDI/XML JSON
  • 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: 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
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