Implementation science to design, test and scale up effective Kangaroo Mother Care in Oromia region, Ethiopia

Aim To develop a locally tested and optimised Kangaroo Mother Care (KMC) scale-up model to achieve high population-based effective coverage of KMC in Oromia region. Method We conducted an implementation research study to design and test KMC scale-up models from March 2017 to March 2019 in five hospitals and 39 health centres covering a population of 1.1 million in Oromia region, Ethiopia. We evaluated the models by measuring effective KMC coverage (at least 8 hours of skin-to-skin care plus exclusive breastfeeding) for newborns weighing After three cycles of iterative model implementation, we developed a KMC scale-up model that resulted in increased population-based effective KMC coverage. We enhanced the existing health system by strengthening the health system, reinforcing the linkages between the health system and communities and improving community engagement. Our final model achieved effective KMC coverage of 54%: 95% CI [49, 60] in the 24 hours before discharge from the facility and 38%: 95% CI [32, 43] on the 7th-day post-discharge. Conclusion Through iterative testing and adaptations, a model to scale up KMC that achieves 54% population-based effective coverage of KMC can be developed.

Automated summary

The aim of this study was to develop and optimize a locally tested Kangaroo Mother Care (KMC) scale-up model to achieve high population-based effective coverage of KMC in Oromia region. Through three cycles of iterative model implementation, a model that achieved 54% population-based effective coverage of KMC was developed.