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    Home / Central Data Catalog / UGA_2000_QSDS_V01_M / variable [F3]
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Quantitative Service Delivery Survey in Health 2000

Uganda, 2000
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Reference ID
UGA_2000_QSDS_v01_M
Producer(s)
World Bank, Makerere Institute for Social Research, Uganda, Ministry of Health, Uganda, Ministry of Finance, Planning and Economic Development, Uganda
Metadata
DDI/XML JSON
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Created on
Sep 30, 2011
Last modified
Mar 29, 2019
Page views
118199
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  • healthfacilitysurvey_cleaned_data

chloroquine ending date (t7b2)

Data file: facilitydatasheets_cleaned_data

Overview

Valid: 85
Invalid: 65
Minimum: 10
Maximum: 10000
Type: Discrete
Decimal: 0
Start: 2546
End: 2550
Width: 5
Range: -
Format:

Questions and instructions

Question pretext
Table 7: Drug use from stock cards (ALL FACILITIES)
From the stock cards identify two dates spanning roughly one month, preferably during the period April-June, 2000).
Ensure that the starting date is before the ending date and that it is some time in between them (preferably around 1 month).
Start at a time when a new supply is received (or shortly afterwards), and ensure that no new supplies were received in the period and that there were no stockouts over the period. It is also important that the stock moved during the identified period; that is, the sum of "amount removed" and "stock after removal" at starting date minus the sum of "amount removed" and "stock after removal" at end date should be a positive number.
If the starting date is the same as the supply date, ensure that the stock is at least as large as the supply.
Record the starting date, the amount removed ('Quantity Out'), and the stock after the removal ('Balance in hand') of drugs on that date.
Record the ending date (roughly one month later), the amount removed ('Quantity Out'), and the stock after the removal ('Balance on hand').
Use 'NA' only if no records are available. There should be NO EMPTY CELLS.
Literal question
Chloroquine tablets
Ending date
Amount removed
Categories
Value Category
10
18
19
22
28
30
33
38
51
54
60
68
73
80
100
101
114
115
120
134
148
150
164
200
250
300
301
390
398
400
500
1000
1500
2000
10000
Sysmiss
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.
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