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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01 / variable [F55]
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 32491 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
CSV JSON

number of times you or your household missed a meal (cov_q23a)

Data file: covid 19 healthcare utilization_diaries

Overview

vald 16848
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 8440
50.1%
0 1
0%
1 60
0.4%
2 98
0.6%
3 62
0.4%
4 17
0.1%
5 3
0%
6 4
0%
7 30
0.2%
11 5
0%
12 367
2.2%
13 496
2.9%
14 328
1.9%
15 289
1.7%
16 232
1.4%
17 295
1.8%
18 159
0.9%
19 124
0.7%
20 144
0.9%
21 206
1.2%
22 214
1.3%
23 224
1.3%
24 297
1.8%
25 247
1.5%
26 202
1.2%
27 221
1.3%
28 268
1.6%
29 232
1.4%
30 252
1.5%
31 247
1.5%
32 327
1.9%
33 206
1.2%
34 218
1.3%
35 168
1%
36 265
1.6%
37 182
1.1%
38 195
1.2%
39 130
0.8%
40 117
0.7%
41 120
0.7%
42 134
0.8%
43 79
0.5%
44 98
0.6%
45 47
0.3%
46 79
0.5%
47 76
0.5%
48 59
0.4%
49 77
0.5%
50 43
0.3%
51 19
0.1%
52 24
0.1%
53 2
0%
54 19
0.1%
55 34
0.2%
56 28
0.2%
57 15
0.1%
58 16
0.1%
59 23
0.1%
60 8
0%
61 14
0.1%
62 6
0%
64 11
0.1%
65 2
0%
66 8
0%
68 9
0.1%
69 5
0%
70 19
0.1%
71 36
0.2%
72 7
0%
73 1
0%
74 11
0.1%
76 6
0%
77 4
0%
78 5
0%
95 case before variable implementation 0
0%
9999995 missing:impute 132
0.8%
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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