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 (SL@B) program. SL@B is a multi-stakeholder, donor-supported global health initiative to tackle maternal and neonatal mortality via innovation. Since SL@B's launch in 2011, the program has supported 116 innovations through 147 awards around the globe. Te evaluation for this large and complex program included a largely retrospective MM design aligned with principles of evaluating complexity. This paper highlights these MM evaluation strategies and integration dimensions employed to complete the SL@B evaluation that could inform future evaluations of portfolio-level global health programs.
Biru, B; Taylor, A; Rajan, S; Crissman, K; Ogbuoji, O; Fernholz, F; Dixit, S; Shahid, M; Doshi, P; Udayakumar, K; Finnegan, A; Baumgartner, JN
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