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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-NGAOYAAFIA-2018-V10 / variable [V350]
Health_and_Well-Being

Evaluating a service model for management of hypertension and diabetes among low- and middle income patients enrolled on M-TIBA in Nairobi, Kenya, Ngao Ya Afya

Kenya, 2018 - 2020
Health and Well-Being (HaW)
Catherine Kyobutungi, PhD
Last modified June 19, 2025 Page views 61 Documentation in PDF Metadata DDI/XML JSON
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  • ngao ya afya
    (2)
CSV JSON

(enrollment_date)

Data file: ngao ya afya (2)

Overview

vald 1045
invd 0
Interval discrete

Questions and instructions

Literal question
N/A
Categories
Value Category
01/07/2019
01/08/2019
01/10/2019
01/11/2019
02/05/2019
02/07/2019
02/08/2019
02/09/2019
02/10/2019
03/06/2019
03/07/2019
03/09/2019
03/10/2019
04/02/2019
04/04/2019
04/06/2019
04/07/2019
04/09/2019
04/10/2019
04/11/2019
05/06/2019
05/07/2019
05/08/2019
05/09/2019
05/11/2019
06/06/2019
06/08/2019
06/09/2019
06/11/2019
07/05/2019
07/06/2019
07/08/2019
07/10/2019
07/11/2019
08/05/2019
08/07/2019
08/08/2019
08/10/2019
08/11/2019
09/05/2019
09/07/2019
09/08/2019
09/09/2019
09/10/2019
10/06/2019
10/07/2019
10/09/2019
11/04/2019
11/06/2019
11/07/2019
11/09/2019
11/10/2019
11/11/2019
12/06/2019
12/07/2019
12/11/2019
13/06/2019
13/08/2019
13/09/2019
13/11/2019
14/01/2019
14/05/2019
14/06/2019
14/07/2019
14/08/2019
15/05/2019
15/06/2019
15/07/2019
15/08/2019
15/10/2019
16/04/2019
16/05/2019
16/07/2019
16/08/2019
16/10/2019
17/05/2019
17/06/2019
17/07/2019
17/09/2019
17/10/2019
18/04/2019
18/05/2019
18/06/2019
18/07/2019
18/09/2019
18/10/2019
18/11/2019
19/06/2019
19/07/2019
19/08/2019
19/09/2019
20/06/2019
20/07/2019
20/08/2019
20/09/2019
21/05/2019
21/06/2019
21/08/2019
22/06/2019
22/07/2019
22/08/2019
22/10/2019
23/05/2019
23/06/2019
23/07/2019
23/08/2019
23/10/2019
24/04/2019
24/05/2019
24/06/2019
24/07/2019
24/09/2019
24/10/2019
25/04/2019
25/06/2019
25/07/2019
25/09/2019
25/10/2019
26/06/2019
26/07/2019
26/09/2019
27/06/2019
27/08/2019
27/09/2019
28/05/2019
28/06/2019
28/08/2019
28/10/2019
29/05/2019
29/07/2019
29/08/2019
29/10/2019
30/04/2019
30/05/2019
30/08/2019
30/10/2019
31/05/2019
31/07/2019
31/08/2019
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.
Question pretext
N/A
Question post text
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Interviewer instructions
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Description

Text
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Universe
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