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    Home / Central Data Catalog / NGA-NBS-NDUS-2016-2017-V01 / variable [F3]
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National Survey on Drug Use and Health 2016-2017
First round

Nigeria, 2016 - 2017
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Reference ID
NGA-NBS-NDUS-2016-2017-v01
Producer(s)
National Bureau of Statistics (NBS), Centre for Research and Information on Substance Abuse (CRISA)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 19, 2021
Last modified
Mar 19, 2021
Page views
709269
Downloads
20024
  • Study Description
  • Data Dictionary
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  • Data files
  • DRUG USERS'
    DATA
  • NATIONAL DRUG
    USE AND HEALTH
    HOUSEHOLD DATA
  • KEY INFORMANT
    DATA

LEVEL OF SATISFACTION OF OTHER GOVERNMENT HOSPITALS IN YOUR AREA (F6.3GovSatisfaction)

Data file: KEY INFORMANT DATA

Overview

Valid: 1904
Invalid: 884
Type: Discrete
Decimal: 0
Start: 2290
End: 2290
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Question pretext
In this section, we would like to discuss firstly the availability of different drug treatment and rehabilitation services in your area. Then I will ask you about the perceived effectiveness of these services and finally on your opinion on the needs for different services for problem drug users in this area.

I will ask the next few questions about the effectiveness of the available treatment services in your area. For effectiveness we would look at the accessibility, coverage, availability of treatment slots, treatment regimens offered, meeting diverse needs of the clients, etc. I will ask about each one by one. In response, you may give your answers as "least effective, "somewhat" or "very effective"
Literal question
Then, how effective in your opinion would you say the available treatment services are for clients’ satisfaction and or retention of clients?
Other Government Hospitals
Categories
Value Category Cases
1 VERY EFFECTIVE 504
26.5%
2 SOMEWHAT EFFECTIVE 645
33.9%
3 LEAST EFFECTIVE 291
15.3%
9 DON'T EXIST IN AREA 464
24.4%
Sysmiss 884
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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