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    Home / Central Data Catalog / KEN_2018_SDI-H_V01_M_V01_A_PUF / variable [F2]
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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
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
22245
Downloads
191
  • Study Description
  • Data Dictionary
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  • Data files
  • sdi_kenya_2018_module1_anonymized.dta
  • sdi_kenya_2018_module2_anonymized.dta
  • sdi_kenya_2018_module3_anonymized.dta
  • sdi_kenya_2018_module4_anonymized.dta
  • sdi_kenya_2018_weights.dta

Reason for absence, second visit (absent_reason2)

Data file: sdi_kenya_2018_module2_anonymized.dta

Overview

Valid: 6846
Invalid: 18155
Minimum: 1
Maximum: 99
Type: Discrete
Decimal: 0
Start: 42
End: 43
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 364
5.3%
2 Training, seminar or meeting 446
6.5%
3 Official mission 697
10.2%
4 Authorized absence 2318
33.9%
5 On-call 621
9.1%
6 Internship 6
0.1%
7 Unauthorized absence 460
6.7%
8 Collecting salary 5
0.1%
9 On strike 56
0.8%
10 Outreach or fieldwork 135
2%
11 Internal organization for day 0
0%
12 Not his/her shift 0
0%
99 Other 1738
25.4%
Sysmiss 18155
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 .
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