Tracking of Malaria indicators reporting
system and Data use on Malaria
management in Ayawaso District
Dr. Yves Lucien Hakorimana
15/07/2016 1
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
2
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
3
Analyse reporting system from the
health facility to the district level in
Ayawaso district
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
4
RESULTS
• Malaria data collection, management, report and use
5
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
RESULTS
• Reporting records and data trends: Reporting timeliness rate
from January 2012 to May 2016
RESULTS
• Reporting records and data trends: Reporting completeness
rate from January 2012 to May 2016
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
8
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
15/07/2016 9
Thank you
21/12/2015 10

Hakorimana research presentation 15_07_16

  • 1.
    Tracking of Malariaindicators reporting system and Data use on Malaria management in Ayawaso District Dr. Yves Lucien Hakorimana 15/07/2016 1
  • 2.
    BACKGROUND • Global estimatesof 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 2
  • 3.
    OBJECTIVES Analyse and track malariaindicators 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 3 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 4
  • 5.
    RESULTS • Malaria datacollection, management, report and use 5 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
  • 6.
    RESULTS • Reporting recordsand data trends: Reporting timeliness rate from January 2012 to May 2016
  • 7.
    RESULTS • Reporting recordsand data trends: Reporting completeness rate from January 2012 to May 2016
  • 8.
    CONCLUSION • The malariaindicators 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 8
  • 9.
    RECOMMENDATIONS • To NMCP: Policyguidelines 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 15/07/2016 9
  • 10.

Editor's Notes

  • #7 Source of Data: Aggregated data from district health information office: for January 2012 to May 2016
  • #8 Source of Data: Aggregated data from district health information office: for January 2012 to May 2016