Malaria Control Program

1
Malaria Control Programme Maru Aregawi Ryan
Williams Global Malaria Programme
2
SME TaskforceGMPNathan Bakayita (AFRO)Ghasum
Zamani (EMROKeith Carter (AMRO)Leonard Ortega
(SEARO)Eva Christopher (WPRO)M. Ejov
(EURO)Maru Aregawi (HQ)
3
Talking points

• Taskforce processes
• Country visit-
• Indonesia, May 06
• Yemen, June 06
• Tanzania, Aug 06

4
Tasks

• Develop Standardized Country Profile Database for
  malaria control
• Primarily for Global and regional level
• Customize and standardize country database where
  possible
• Work with other taskforces and harmonize the
  database
• With minimum set of indicators or information
• Look for data that exist or is feasible to
  collect

5
Background

• Global source of information for malaria control
• Routine HMIS or health facility data
• underutilized or had been ruled out as reliable
  source of information
• As a result
• no standardized data recording and reporting
  forms nor any system
• Less programmatic information and use of data for
  planning, decision, advocacy
• Surveys
• So far had been the focus of WHO and MERG
• Often expensive and conducted in few countries
• Assesses only few indicators or information
• Long interval (5 years)
• Focused on independent surveys (DHS or MIS)
• Studies or research
• TDR
• Modelling and Simulation
• So far little is done in WHO
• Has the potential in absence of solid evidences

6
GMP's Efforts

• Optimize the utilization of Routine HMIS for
• Regular assessment of programme performance
• to detect progresses and weaknesses
• Burden estimation in absence of surveys
• More reliable in areas with high health service
  coverage and Health seeking behavior
• Expand and improve surveys
• Complement with HMIS and other studies
• Standardize questions /indicators
• In addition to DHS or MIS, utilize existing
  national surveys
• Strengthen country ME systems and capacity
  through
• Standardized database and indicators
• Customize database for country needs- keeping
  compatibility with global and regional database

7
Country Profile Database
March
Ongoing May-Aug
8
Components of the Database

• Demographic and epidemiological facts
• Malaria control prog. and programme structure
• Financing malaria control
• Programme Goals and Objectives
• Policy and strategy including targets
• Performance-assessment through indicators
• Routine HMIS and Supervision
• Performance- Surveys
• Resistance studies-
• Antimalarial drugs (therapeutic efficacy)
• insecticidal
• susceptibility
• bioassay??

9
Challenges

• Varying indicators and definitions (including
  case definition)
• Different regions use different forms
• Depth and type of info are divergent
• E.g. cases and deaths by age, sex, species
• Lack of evidence and clarity on some
  epidemiological definitions
• Population at risk
• Endemicity of an area
• Ownership of data and little networking
• Culture of planning and reporting
• Donor driven or customized to partners needs
• Little use of data by NMCP staff
• Decentralization limits the flow of info
• NMCPs have little programmatic data e.g.
  financial, ITN, IRS

10
Lessons/opportunities

• Lessons
• Information or data exists
• But is often fragmented within the NMCP or
  Institutions
• Different surveys or studies occur and malaria
  can benefit with less cost by introducing core
  indicators
• Opportunities
• Customization to country level taking
  decentralization into account-
• incentive to motivate countries (without
  disrupting existing system)
• Regions/Governorates/Provinces are receptive due
  to the added value of the tool
• Data will be compatible with Global Disease Atlas
  (WHO), Health Mapper and others
• Future data collection will build on the
  improvement of the tool