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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01 / variable [F54]
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 36156 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

amount paid by self (cv_q14_self_amount)

Data file: consultation visits_diaries

Overview

vald 59092
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 0
0%
-7 amount paid missing 0
0%
0 56922
96.3%
10 52
0.1%
15 3
0%
20 124
0.2%
25 3
0%
30 46
0.1%
35 2
0%
40 41
0.1%
45 1
0%
50 229
0.4%
55 2
0%
60 76
0.1%
65 1
0%
70 29
0%
75 4
0%
80 26
0%
90 5
0%
96 other 0
0%
100 323
0.5%
110 18
0%
115 1
0%
120 86
0.1%
130 24
0%
140 19
0%
150 142
0.2%
160 16
0%
170 15
0%
180 16
0%
190 3
0%
200 134
0.2%
210 2
0%
220 6
0%
230 5
0%
240 6
0%
250 37
0.1%
260 2
0%
270 2
0%
280 7
0%
290 2
0%
300 63
0.1%
320 3
0%
350 17
0%
360 2
0%
370 6
0%
380 2
0%
400 28
0%
410 1
0%
420 2
0%
430 1
0%
440 2
0%
450 8
0%
460 1
0%
500 62
0.1%
510 1
0%
530 3
0%
550 9
0%
600 35
0.1%
640 1
0%
650 4
0%
660 2
0%
700 19
0%
735 1
0%
750 6
0%
780 1
0%
800 22
0%
850 2
0%
900 6
0%
950 1
0%
1000 33
0.1%
1040 1
0%
1050 4
0%
1100 2
0%
1150 1
0%
1200 11
0%
1210 1
0%
1230 1
0%
1250 1
0%
1300 3
0%
1350 1
0%
1400 2
0%
1500 17
0%
1600 3
0%
1700 2
0%
1750 1
0%
1800 4
0%
1870 1
0%
1900 1
0%
1950 2
0%
2000 12
0%
2015 1
0%
2100 1
0%
2200 2
0%
2300 2
0%
2500 5
0%
2600 2
0%
2800 2
0%
3000 3
0%
3100 1
0%
3200 1
0%
3500 1
0%
3600 1
0%
4000 2
0%
4700 2
0%
6000 1
0%
6500 2
0%
7100 1
0%
7800 1
0%
8000 2
0%
8700 1
0%
9100 1
0%
10000 1
0%
40200 1
0%
9999995 missing:impute 208
0.4%
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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