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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 33818 Documentation in PDF Metadata DDI/XML JSON
CSV JSON

total amount spent on healthcare (mod6_q607)

Data file: household healthcare utilization_midline

Overview

vald 1734
invd 0
Interval discrete
Decimal 0
Range -9 - 9999995

Questions and instructions

Categories
Value Category Cases
-9 NIU (not in universe) 0
0%
0 377
21.7%
1 1
0.1%
2 1
0.1%
10 9
0.5%
20 6
0.3%
30 8
0.5%
40 4
0.2%
50 33
1.9%
60 9
0.5%
70 2
0.1%
80 3
0.2%
90 1
0.1%
100 64
3.7%
110 4
0.2%
120 16
0.9%
128 1
0.1%
130 2
0.1%
140 3
0.2%
150 41
2.4%
160 1
0.1%
170 3
0.2%
180 4
0.2%
190 1
0.1%
200 118
6.8%
220 2
0.1%
230 1
0.1%
240 3
0.2%
250 32
1.8%
260 1
0.1%
280 4
0.2%
290 2
0.1%
300 102
5.9%
310 1
0.1%
320 1
0.1%
330 1
0.1%
350 14
0.8%
360 1
0.1%
380 2
0.1%
400 63
3.6%
420 1
0.1%
440 1
0.1%
450 10
0.6%
470 1
0.1%
480 2
0.1%
500 157
9.1%
550 2
0.1%
560 1
0.1%
580 1
0.1%
600 55
3.2%
650 8
0.5%
700 36
2.1%
750 5
0.3%
760 2
0.1%
770 1
0.1%
780 1
0.1%
800 45
2.6%
820 1
0.1%
840 1
0.1%
850 3
0.2%
880 1
0.1%
900 10
0.6%
950 2
0.1%
960 1
0.1%
1000 99
5.7%
1050 1
0.1%
1080 1
0.1%
1100 4
0.2%
1200 11
0.6%
1250 2
0.1%
1300 3
0.2%
1330 1
0.1%
1400 1
0.1%
1450 1
0.1%
1500 48
2.8%
1550 1
0.1%
1600 4
0.2%
1700 2
0.1%
1750 1
0.1%
1760 1
0.1%
1800 8
0.5%
2000 76
4.4%
2050 1
0.1%
2100 1
0.1%
2150 1
0.1%
2200 3
0.2%
2300 1
0.1%
2350 1
0.1%
2360 1
0.1%
2470 1
0.1%
2500 13
0.7%
2505 1
0.1%
2800 2
0.1%
2830 1
0.1%
2900 1
0.1%
3000 42
2.4%
3200 1
0.1%
3400 1
0.1%
3430 1
0.1%
3500 5
0.3%
3650 1
0.1%
3700 2
0.1%
3750 1
0.1%
3800 2
0.1%
4000 11
0.6%
4300 1
0.1%
4320 1
0.1%
4500 3
0.2%
4620 1
0.1%
4800 2
0.1%
5000 25
1.4%
5300 1
0.1%
5400 1
0.1%
5760 1
0.1%
5810 1
0.1%
6000 7
0.4%
6500 1
0.1%
6750 1
0.1%
6800 2
0.1%
7000 9
0.5%
8000 1
0.1%
9000 1
0.1%
9800 1
0.1%
10000 7
0.4%
10770 1
0.1%
11250 1
0.1%
12000 2
0.1%
12040 1
0.1%
12550 1
0.1%
13000 1
0.1%
14500 1
0.1%
15000 2
0.1%
20000 2
0.1%
22000 1
0.1%
30000 1
0.1%
32700 1
0.1%
51000 1
0.1%
280000 1
0.1%
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.