253672
Better Information for Generalizable Knowledge: Systematic Study of Local Adaptation
Monday, October 31, 2011: 1:10 PM
Laura Leviton, PhD
,
The Robert Wood Johnson Foundation, Princeton, NJ
Promising and evidence-based models must often be adapted from the original programs in order to work well locally. Just as a cook needs to adapt a recipe for the constraints of the kitchen, so our efforts in health and health care have to be adapted to local barriers and opportunities. Many questions arise about how adaptation occurs and whether, in fact, the adaptation is still consistent with the model. And if the adaptation is consistent with the model, is it important, does it address a prevalent barrier, and is it therefore worth sharing? These questions arise in any effort to expand and scale high-quality models and practices. But evaluation as currently practiced is not a suitable tool to understand these questions, because of the focus on outcomes and accountability for funds expended. A new set of methods is proposed to help practitioners and developers to share what they are learning about how to implement a model in many different contexts. Examples are drawn from adult physical activity, childhood obesity prevention, healthcare quality improvement, and intimate partner violence prevention.
Learning Areas:
Public health or related education
Learning Objectives: 1. Assess generalizability and external validity of evidence-based programming.
2. Describe frameworks for analyzing local adaptation of evidence-based or promising models.
3. Describe the differences between “fidelity” to a model and appropriate local adaptation.
Presenting author's disclosure statement:Qualified on the content I am responsible for because: my background, training, and professional experience in evaluation and I oversee evaluation work on two teams of the Robert Wood Johnson Foundation.”
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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