Service Delivery Indicators Health Survey 2018 - Harmonized Public Use Data
Kenya, 2018
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Reference ID
KEN_2018_SDI-H_v01_M_v01_A_PUF
Producer(s)
Waly Wane, Jane Chuma
Collection(s)
Metadata
Created on
Apr 01, 2021
Last modified
Apr 01, 2021
Page views
48384
Downloads
2145
Reason for absence, first visit (absent_reason1)
Data file: sdi_kenya_2018_module2_anonymized.dta
Overview
Valid:
10129
Invalid:
14872
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
31
End:
32
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
Reason for absence
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Sick or on maternity leave | 621 |
6.1%
|
| 2 | Training, seminar or meeting | 658 |
6.5%
|
| 3 | Official mission | 733 |
7.2%
|
| 4 | Authorized absence | 3757 |
37.1%
|
| 5 | On-call | 1643 |
16.2%
|
| 6 | Internship | 4 |
0%
|
| 7 | Unauthorized absence | 106 |
1%
|
| 8 | Collecting salary | 3 |
0%
|
| 9 | On strike | 2 |
0%
|
| 10 | Outreach or fieldwork | 163 |
1.6%
|
| 11 | Internal organization for day | 0 |
0%
|
| 12 | Not his/her shift | 0 |
0%
|
| 99 | Other | 2439 |
24.1%
|
| Sysmiss | 14872 |
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.
Interviewer instructions
Enumerator: Record the 10 randomly selected health workers in the table below, along with each of their details. Ask a staff member in the facility
to help you identify each health worker on the list and record their presence or absence in the facility. Make sure to observe each staff in the facility
yourself .
to help you identify each health worker on the list and record their presence or absence in the facility. Make sure to observe each staff in the facility
yourself .