Login / Signup

Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria.

Dominique MeekersOlaniyi Matthew OlutolaLynn Abu Turk
Published in: Gates open research (2023)
While end-of-project impact evaluations are necessary, there should be regular feedback system to provide program implementers with information about the status of the project, such as failures, successes, and areas of improvements. This would allow implementers to make necessary adjustments as needed throughout the intervention period. The finding that the radio campaign was not living up to expectations helped Honey&Banana program implementers to end the campaign prematurely and re-allocate resources to a more promising activity. Our research shows that basic Excel-based ITS analysis of routine data can be a useful tool for receiving regular feedback to guide programming improvements for organizations that have limited resources and/or research capacity.
Keyphrases
  • quality improvement
  • randomized controlled trial
  • electronic health record
  • clinical practice
  • big data
  • machine learning
  • social media