Implementing Impact Evaluations of Malaria Control Interventions: Process, Lessons Learned, and Recommendations

Am J Trop Med Hyg. 2017 Sep;97(3_Suppl):20-31. doi: 10.4269/ajtmh.17-0064.

Abstract

As funding for malaria control increased considerably over the past 10 years resulting in the expanded coverage of malaria control interventions, so did the need to measure the impact of these investments on malaria morbidity and mortality. Members of the Roll Back Malaria (RBM) Partnership undertook impact evaluations of malaria control programs at a time when there was little guidance in terms of the process for conducting an impact evaluation of a national-level malaria control program. The President's Malaria Initiative (PMI), as a member of the RBM Partnership, has provided financial and technical support for impact evaluations in 13 countries to date. On the basis of these experiences, PMI and its partners have developed a streamlined process for conducting the evaluations with a set of lessons learned and recommendations. Chief among these are: to ensure country ownership and involvement in the evaluations; to engage stakeholders throughout the process; to coordinate evaluations among interested partners to avoid duplication of efforts; to tailor the evaluation to the particular country context; to develop a standard methodology for the evaluations and a streamlined process for completion within a reasonable time; and to develop tailored dissemination products on the evaluation for a broad range of stakeholders. These key lessons learned and resulting recommendations will guide future impact evaluations of malaria control programs and other health programs.

MeSH terms

  • Africa South of the Sahara / epidemiology
  • Communicable Disease Control / economics
  • Communicable Disease Control / methods*
  • Humans
  • Malaria / epidemiology
  • Malaria / prevention & control*
  • Models, Theoretical
  • Mosquito Control
  • National Health Programs* / economics
  • National Health Programs* / organization & administration
  • Time Factors