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Diversity of design and operational lessons about RBF through rich set of evaluations and analytical methods
Learning on impact remains crucial
Rigorous evidence remains thin: need impact measurement
From impact evaluations complemented by various program assessments
Towards a broader and richer set of IEs complemented by operational data and learning from implementation studies
Impact Evaluation (IE) is the technique used to determine whether there is a causal link between an RBF intervention and its results, measured in terms of outputs and/or outcomes.
IE offers information on the impact of an intervention on outputs and outcomes of interest and therefore provides information on whether a particular intervention produced the desired results.
This diagram depicts where IE fits in with the RBF process. IE seeks to establish a link between an RBF intervention and its consequences on health outputs and outcomes. Subsequent modules in this course will discuss the elements of this framework in more depth.
It is important to distinguish impact evaluation, which is discussed in this module, from traditional monitoring and evaluation (M&E). There are several key questions that impact evaluation can answer that traditional M&E cannot because of the methods used in impact evaluation.
A key goal of impact evaluation is to make a causal link between the program and observed outcomes. We are often interested in knowing how much better off the program beneficiaries are as a result of their participation in the program or policy. We may also want to know how outcomes might change if the design of the program changed. Sometimes we are also interested in the cost-effectiveness of the program.
These types of questions can be answered through impact evaluations but not through traditional M&E.