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    Home / Central Data Catalog / TZA_2016_SDI-H_V01_M_V02_A_PUF / variable [F2]
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Service Delivery Indicators Health Survey 2016 - Harmonized Public Use Data

Tanzania, 2016
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Reference ID
TZA_2016_SDI-H_v01_M_v02_A_PUF
Producer(s)
Waly Wane
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
12000
Downloads
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  • Study Description
  • Data Dictionary
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  • Data files
  • sdi_tanzania_2016_module1_anonymized.dta
  • sdi_tanzania_2016_module2_anonymized.dta
  • sdi_tanzania_2016_module3_anonymized.dta
  • sdi_tanzania_2016_module4_anonymized.dta
  • sdi_tanzania_2016_weights.dta

Reason for absence, first visit (absent_reason1)

Data file: sdi_tanzania_2016_module2_anonymized.dta

Overview

Valid: 2594
Invalid: 3157
Minimum: -9
Maximum: 99
Type: Discrete
Decimal: 0
Start: 35
End: 36
Width: 2
Range: -9 - 99
Format: Numeric

Questions and instructions

Literal question
Reason for absence
Categories
Value Category Cases
-9 2
0.1%
1 Sick or on maternity leave 256
9.9%
2 Training, seminar or meeting 222
8.6%
3 Official mission 119
4.6%
4 Authorized absence 348
13.4%
5 On-call 1570
60.5%
6 Internship 42
1.6%
7 Unauthorized absence 7
0.3%
8 Collecting salary 1
0%
9 On strike 2
0.1%
10 Outreach or fieldwork 17
0.7%
11 Internal organization for day 0
0%
12 Not his/her shift 0
0%
99 Other 8
0.3%
Sysmiss 3157
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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