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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 36139 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 member1 (cv_q14_member1_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 56738
96%
5 1
0%
10 39
0.1%
15 8
0%
20 97
0.2%
25 12
0%
30 71
0.1%
35 3
0%
40 39
0.1%
45 3
0%
50 313
0.5%
55 2
0%
60 137
0.2%
70 66
0.1%
75 10
0%
80 36
0.1%
90 16
0%
96 other 0
0%
100 442
0.7%
110 17
0%
120 104
0.2%
125 1
0%
130 19
0%
140 24
0%
150 177
0.3%
160 9
0%
170 10
0%
180 9
0%
190 4
0%
200 186
0.3%
210 2
0%
220 7
0%
225 2
0%
230 3
0%
240 2
0%
250 42
0.1%
260 5
0%
270 3
0%
275 1
0%
280 5
0%
295 1
0%
300 72
0.1%
320 5
0%
330 2
0%
340 2
0%
350 16
0%
360 4
0%
370 1
0%
380 1
0%
400 31
0.1%
420 4
0%
440 1
0%
450 10
0%
480 1
0%
500 48
0.1%
540 1
0%
550 11
0%
560 2
0%
570 1
0%
600 22
0%
630 1
0%
650 6
0%
700 13
0%
720 1
0%
750 5
0%
760 1
0%
800 17
0%
850 3
0%
870 2
0%
900 5
0%
940 1
0%
950 2
0%
990 1
0%
1000 14
0%
1070 1
0%
1200 2
0%
1250 1
0%
1500 4
0%
1550 1
0%
1700 1
0%
1800 2
0%
1900 3
0%
1950 2
0%
2000 5
0%
2200 1
0%
2500 3
0%
2550 2
0%
2800 2
0%
3000 1
0%
3050 1
0%
3200 1
0%
3500 2
0%
3700 1
0%
3800 1
0%
4000 1
0%
4800 1
0%
5000 1
0%
5100 1
0%
5600 1
0%
6100 1
0%
7000 1
0%
8100 1
0%
8150 1
0%
9999995 missing:impute 73
0.1%
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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