Evaluability Assessment of an immunization improvement strategy in rural Burkina Faso: intervention theory versus reality, information need and evaluations

Eval Program Plann. 2011 Aug;34(3):303-15. doi: 10.1016/j.evalprogplan.2010.10.005. Epub 2010 Nov 13.

Abstract

An innovative immunization improvement strategy was proposed by the CRSN (Centre de Recherche en Santé de Nouna) to improve the low coverage rate for children aged 0-11 months in the health district of Nouna in Burkina Faso. This article reports on the Evaluability Assessment (EA) study that aimed to orient decisions for its evaluation in close relationship with the information needs of the stakeholders. Various methods were used, including document reviews, individual interviews, focus group discussions, meetings, literature reviews and site visits. A description of the intervention theory and philosophy is provided with its logic models and its reality documented. Lessons on the procedure include the importance of the position of the evaluability assessor, the value of replicating some steps of the assessment and the relationships between EA and process evaluation. The evaluability study concludes that the intervention had some evaluable components. To satisfy the stakeholders' needs, the initially planned community randomized controlled trial can be maintained and complemented with a process evaluation. There is a need to provide sufficient information on the cost of the intervention. This will inform decision makers on the possibility of replicating the intervention in other contexts.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Burkina Faso
  • Community Participation
  • Diffusion of Innovation
  • Feedback
  • Focus Groups
  • Global Health
  • Health Promotion / methods*
  • Humans
  • Immunization Programs / organization & administration
  • Immunization Programs / statistics & numerical data*
  • Information Dissemination
  • Logistic Models
  • Models, Statistical
  • Needs Assessment*
  • Rural Population / statistics & numerical data*