MEASURE Evaluation works to improve collection, analysis and presentation of data to promote better use of data in planning, policymaking, managing, monitoring and evaluating population, health and nutrition programs.
Sep. 6, 2019•0 likes•386 views
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Maturity Model: Uganda’s reflections
Sep. 6, 2019•0 likes•386 views
Report
Health & Medicine
Presented by Jamiru Mpiima, with Uganda's Ministry of Health, for a Global Digital Health Network webinar.
MEASURE Evaluation works to improve collection, analysis and presentation of data to promote better use of data in planning, policymaking, managing, monitoring and evaluating population, health and nutrition programs.
2. Prior status of HIS!
Each of the HIS stages including data collection, collation, compilation,
reporting and analysis is burdened by major problems. These range from:
• Fragmented HIS with multiple and overlapping demands from all
stakeholders;
• Other components of HIS like population surveys/census are not
integrated in addition to having a complex process of attaining the
detailed data.
• Excessive and uncoordinated reporting requirements;
THE REPUBLIC OF
UGANDA
MINISTRY OF HEALTH
3. Prior status of HIS Cont.
• Lack of data ownership occasioned by health workers’ perception that the
purpose of a HIS is simply to report to the higher levels.
• No incentive or motivation for health workers at lower levels to analyze, use
and interpret health data.
• Health workers hardly receive any feedback with relation to health data
collection and reporting. In the event that feedback is disseminated, it is in
most cases negative, untimely and not very constructive.
THE REPUBLIC OF UGANDA
MINISTRY OF HEALTH
4. Status of eHealth before!
• The existence of parallel data collection systems and the ever emerging innovative
applications puts a strain on data analysis, data management.
• The interventions address individual health programs, resulting in fragmented
information systems.
• Many digital solutions are incapable of health information exchange.
• Data about the same people or services in different systems sometimes do not
match—raising concerns about data integrity.
• Utilization of data for planning and decision making purposes is low
THE REPUBLIC OF UGANDA
MINISTRY OF HEALTH
5. Maturity models deployed
• eHealth Interoperability Maturity Toolkit
https://www.measureevaluation.org/resources/publications/fs-18-296
• HIS -Stages of Continuous Improvement Assessment
https://www.measureevaluation.org/resources/publications/ws-19-52
• Global Digital Health Index
https://static1.squarespace.com/static/5ace2d0c5cfd792078a05e5f/t/5d4dcb80a9b3640
001183a34/1565379490219/State+of+Digital+Health+2019.pdf
THE REPUBLIC OF UGANDA
MINISTRY OF HEALTH
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6. How have the results been used?
• Micro planning for eHealth implementation
• Requirements gathering for foundational interoperable ie interoperability
layer, client registry, Health Worker Registry, Health Facility Registry
• Mapping of all eHealth services/solutions in the country
• Generated evidence for advocacy
• Capacity building at all levels
• Development of eHealth data security, privacy and confidentiality guidelines
THE REPUBLIC OF UGANDA
MINISTRY OF HEALTH
7. Pipeline!
• Development of HIS strategy
• Prototyping and piloting of interoperability layer, NCR, NHWR, NHFR
• Data use trainings at all levels
• More technical capacity building
• More stakeholder involvement
THE REPUBLIC OF UGANDA
MINISTRY OF HEALTH