Session 3
NIGERIA HIV DATA MANAGEMENT
SECTION 2: HIV UPDATE 1
Learning Objectives
By the end of this session, the participants should be able to:
• Explain the evolution of the integrated data systems for Nigeria
• Describe the National data repository
• Describe the HIV programme data flow
• Discuss how HIV data can be disseminated and used for decision
making
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Interoperable and Connected Health Systems
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National Data Repository (NDR)
A central data warehouse that
captures de-identified patient-
level data from Nigeria’s HIV
site-level EMR systems
providing support for reporting
key indicators and includes a
web portal for access to
dashboards
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NDR Information Architecture
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Data Submission Mechanism
• XML files are generated from the EMR
following an XML schema definition (XSD)
• Upload XML files to the NDR via an upload
function on the NDR web portal
• Quality checks
• Feedback
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HIV Programme Data Flow
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Data Access Flow
Researchers DB Admin Review Committee
View available data catalog Reviews request and
Reviews request and
on the portal forwards to review
Committee
makes decision
Create account an account Request more information
Request more information
from Researcher
Reviews information Reviews additional
Submit a request form forwards to review information from
Committee Researcher
Provide further information
on data request Make decision on data
If request
Approved
Receives link to download Creates data files based on
files request
Receives committee denial
Notifies requestor
decision
SECTION 2: HIV UPDATE 8
Data Use Governance
Data Use Agreement
Federal Ministry of Health
Federal Government of Nigeria
National Data Repository (NDR) Data Use
Agreement
20 pages
16 sections
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HIV Data Dissemination and Use
• The dissemination of HIV data and information products will be via regular
fact sheets, bulletins, report and official social media platforms
• Also validated data are shared with the states biannually as a way of
feedback
• Data use should be encouraged at all levels especially at the health facilities
where these data are generated, to improve patient management and
monitoring
• To facilitate routine multidirectional evaluation (compare self vs self, self vs others,
self vs target & Self in trend)
• Keeps focus on indicators and targets (e.g. 95-95-95)
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Examples of Data Use
HIV Case Identification Trend over 100 weeks
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Examples of Data Use
Longitudinal analysis of a client experiencing a series of treatment
interruption
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Source: [Helen and Kyle’s presentation]
# IIT last 12 months 3 Last VL date 7 Nov 2019
# IIT cumulative 4 Last VL result 1210
Duration of last IIT 159
Days since last IIT 0
Source: [Helen and Kyle’s presentation]
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Some Study Projects from the NDR
Cyclical Acquired Drug HIV Treatment Outcomes
Resistance (CADRE) in PLHIV on Dolutegravir-
Patient Monitoring in Containing Antiretroviral SARS-CoV-2 and Other
Nigeria Therapy in Nigeria Diseases of Public Health
Importance Serologic
Surveillance using
Specimens from People
Living with HIV (PLHIV)
Accessing US
President’s Emergency
Effect of HIV Low Level An Evaluation of Plan for AIDS Relief
Viremia on Virologic Non- Treatment Outcomes (PEPFAR) -Supported
Suppression, Virologic among Patients in Viral Load (VL) Testing in
Failure and Second-Line PEPFAR-CDC Nigeria Nigeria
Antiretroviral Therapy Supported HIV/AIDS
Switch in Nigeria Program
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Emerging Opportunities for Data
Use
R studio NDR analysis SMART card in Benue
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Key Points
• Integrated data systems provide the opportunity to use data for
research, monitoring and evaluation
• Analysis of patient level data is useful for clinical management,
understanding of interruption in care
• HIV data can be used for evaluation and keep track of indicators
and targets
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