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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
119786
Downloads
4081
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  • Data files
  • districtfacdatasheets_cleaned_data
  • districthealthteamquest_cleaned_data
  • facilitydatasheets_cleaned_data
  • facilityexitpoll_cleaned_data
  • healthfacilitysurvey_cleaned_data

new stock (t6ba3)

Data file: facilitydatasheets_cleaned_data

Overview

Valid: 86
Invalid: 64
Minimum: 50
Maximum: 145774
Type: Discrete
Decimal: 0
Start: 916
End: 921
Width: 6
Range: -
Format:

Questions and instructions

Question pretext
Table 6B: Chloroquine drug supply according to stock cards (ALL FACILITIES)
In this sheet, record the episodes of supply of drugs to the facility during the whole 1999/2000 fiscal year.
Obtain this information from the facility's stock cards.
In column 1, record the date of the new supply.
In column 2, record the amount received ('Quantity in').
In column 3, record the new stock ('Balance in hand') including the amount received.
Note the type of supply (eg. Essential drug kit, bought, etc.) and the source.
Check dates of supply to ensure that the supplies are entered chronologically.
IMPORTANT: Only use 'NA' if some categories (columns) are not available.
Ensure that the same units of supply are used for all facilities.
Literal question
Chloroquine tablets
New stock
Categories
Value Category
50
200
1000
1102
1200
1239
1600
2000
2115
2600
3000
3500
3671
3800
4000
4050
4097
5000
5200
6000
7000
7100
7980
8000
8400
8450
9000
10000
10891
12238
14290
14698
15000
16000
17049
20000
21000
21230
22393
22696
22968
23000
23110
24000
24188
24531
25000
26567
33000
38000
62000
145774
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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