Integrating Data to Evaluate a Global Health Grand Challenge

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Biru, B; Taylor, A; Rajan, S; Crissman, K; Ogbuoji, O; Fernholz, F; Dixit, S; Shahid, M; Doshi, P; Udayakumar, K; Finnegan, A; Baumgartner, JN

Published Date

  • January 1, 2022

Published In

Volume / Issue

  • 36 / 3

Start / End Page

  • 336 - 354

International Standard Serial Number (ISSN)

  • 0834-1516

Digital Object Identifier (DOI)

  • 10.3138/cjpe.71259

Citation Source

  • Scopus