Integrating Data to Evaluate a Global Health Grand Challenge

This article describes the integrated, mixed methods (MM) design used to evaluate the Saving Lives at Birth ([email protected]) program. [email protected] is a multi-stakeholder, donor-supported global health initiative to tackle maternal and neonatal mortality via innovation. Since [email protected]’s launch in 2011, the program has supported 116 innovations through 147 awards around the globe. The evaluation for this large and complex program included a largely retrospective MM design aligned with principles of evaluating complexity.