1. Tracking of Malaria indicators reporting
system and Data use on Malaria
management in Ayawaso District
Yves Lucien Hakorimana
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2. BACKGROUND
• Global estimates of 214 million cases of malaria, 88% of
which occur in the WHO African Region (WHO, 2015)
• Ghana 11.3 million cases of out patients malaria in 2013
(NMCP, 2013)
• Ghana had to achieved the malaria targets of 85% by the
end of 2014, for populations at risk (children & pregnant
women)
• The incompleteness of malaria indicator reports was the
results of challenges of case management (J. Cox, 2013)
• Inadequate documentation on the influence that indicator
reports have on health systems structures for malaria
control practices
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3. OBJECTIVES
Analyse and track
malaria indicators
reporting system and
data-use on malaria
management in Ayawaso
district
Describe the system for malaria
data collection and management at
district level
Assess the data-use on malaria
management at the various levels
of the health care system in
Ayawaso district
Specific objectivesGeneral objective
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Analyse reporting system from the
health facility to the district level in
Ayawaso district
4. METHODS
Qualitative Methods:
(Primary data)
Key informants interviews:
Health district Director; DDNS;
Malaria focal point; DCO; PHO;
& HIO
Interview guide & note taking
Quantitative Methods:
(Secondary data): Facilities
Reports from Jan. 2012-May 2016
6 out of 51 indicators
Exploratory
Mixed Methods
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5. RESULTS
• Malaria data collection, management, report and use
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37 Military Hospital
Legon Hospital
Maamobi General Hospital
Nima Government Clinic
Mallam Atta clinic
10 private hospitals;
60 private clinics
Ayawaso District
Health Directorate
Public Facilities
Quasi- Government
Institutions
Private Facilities
8. CONCLUSION
• The malaria indicators data are particularly useful to
various stakeholders
• There is a lack of appropriate tool for reports accuracy
measurement
• The coverage, completeness and timeliness of malaria
indicator reports improved over 5 years covered by
the study
• The private facilities do not collaborate to track and
provide data about malaria indicators
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9. RECOMMENDATIONS
• To NMCP:
Policy guidelines to the private facilities and Quasi-
government institutions regarding the reporting system
There is a need for private and public coordination
partnership
• To Ayawaso Health Directorate
There is a need for DHIMS database extension at Health
facility level
The district should provide power-saving IT equipment
• To Private Health Facilities
Ensure traceability of malaria indicator records and other
diseases
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