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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01 / variable [F34]
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 33511 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
CSV JSON

child's muac measurement (mod5_q528)

Data file: risk preference game_game_baseline

Overview

vald 330
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 7
2.1%
-7 refused 6
1.8%
-6 child not present 3
0.9%
10 1
0.3%
12.5 1
0.3%
13 1
0.3%
13.1999998092651 2
0.6%
13.3000001907349 3
0.9%
13.3999996185303 3
0.9%
13.5 2
0.6%
13.6999998092651 2
0.6%
13.8000001907349 4
1.2%
13.8999996185303 3
0.9%
14 5
1.5%
14.1000003814697 6
1.8%
14.1999998092651 3
0.9%
14.3000001907349 1
0.3%
14.3999996185303 5
1.5%
14.5 7
2.1%
14.6000003814697 4
1.2%
14.6999998092651 6
1.8%
14.8000001907349 11
3.3%
14.8999996185303 11
3.3%
15 16
4.8%
15.1000003814697 5
1.5%
15.1999998092651 10
3%
15.3000001907349 9
2.7%
15.3999996185303 8
2.4%
15.5 14
4.2%
15.6000003814697 7
2.1%
15.6999998092651 4
1.2%
15.8000001907349 8
2.4%
15.8999996185303 9
2.7%
16 11
3.3%
16.1000003814697 12
3.6%
16.1200008392334 1
0.3%
16.2000007629395 16
4.8%
16.2999992370605 9
2.7%
16.3999996185303 15
4.5%
16.5 9
2.7%
16.6000003814697 7
2.1%
16.7000007629395 5
1.5%
16.7999992370605 5
1.5%
16.8999996185303 7
2.1%
17 10
3%
17.1000003814697 5
1.5%
17.2000007629395 5
1.5%
17.2999992370605 2
0.6%
17.3999996185303 4
1.2%
17.5 5
1.5%
17.7000007629395 2
0.6%
17.7999992370605 2
0.6%
17.8999996185303 1
0.3%
18 2
0.6%
18.1000003814697 1
0.3%
18.2999992370605 1
0.3%
18.5 3
0.9%
19 2
0.6%
19.5 1
0.3%
98 don't know 0
0%
9999995 missing:impute 0
0%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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