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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
117904
Downloads
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  • Study Description
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  • Data files
  • districtfacdatasheets_cleaned_data
  • districthealthteamquest_cleaned_data
  • facilitydatasheets_cleaned_data
  • facilityexitpoll_cleaned_data
  • healthfacilitysurvey_cleaned_data

new stock (t6bc3)

Data file: facilitydatasheets_cleaned_data

Overview

Valid: 68
Invalid: 82
Minimum: 1
Maximum: 35000
Type: Discrete
Decimal: 0
Start: 962
End: 966
Width: 5
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
1
100
500
1000
1021
1263
2000
2130
2426
2915
3000
3720
4000
4097
5000
5500
5694
6000
6300
7000
8000
8300
8500
9000
9526
9590
10000
10500
11350
12000
12500
13000
13920
14000
14900
16000
18503
18518
18650
18678
19739
20000
23000
24000
27000
28726
28821
30005
35000
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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