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Operationalizing Implementation Science in Nutrition: The Implementation Science Initiative in Kenya and Uganda
Isabelle Michaud-Létourneau1, Marion Gayard1, Brian Njoroge2
1The Society for Implementation Science in Nutrition, NY, USA.
Operationalizing the Implementation Science in Nutrition (ISN) framework in low- and middle-income countries revealed key challenges and strategies. An operational model was developed to guide future implementation science capacity building.
Area of Science:
- Implementation Science
- Nutrition Interventions
- Global Health
Background:
- Implementation Science (IS) offers potential to enhance policy, program, and intervention effectiveness.
- Existing IS training often focuses narrowly on implementation research, a subset of the broader IS field.
- The Implementation Science in Nutrition (ISN) framework, adapted from health IS, uses nutrition-specific language and concepts.
Purpose of the Study:
- To explore challenges and strategies for applying the ISN framework in low- and middle-income countries (LMICs).
- To generate practical knowledge for operationalizing the ISN framework in diverse LMIC contexts.
Main Methods:
- The ISN framework was operationalized over three years in Kenya and Uganda through the Implementation Science Initiative.
- Action research, specifically developmental evaluation, was employed to provide feedback and facilitate adaptations.
- Data on challenges and strategies were collected through partnership with country teams.
Main Results:
- Guiding principles and six IS system components were articulated to structure operationalization efforts.
- Challenges and effective strategies for implementing these six components were documented.
- An IS system operational model was developed based on lessons learned.
Conclusions:
- Future IS investments should emphasize system- and capacity-building for greater impact and institutionalization.
- The developed operational model can guide diverse programs in improving IS implementation.
- Prioritizing a systematic, capacity-focused approach is crucial for realizing IS potential in LMICs.
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