| Literature DB >> 29378667 |
Marek Lalli1, Harriet Ruysen2, Hannah Blencowe1, Kristen Yee3, Karen Clune4, Mary DeSilva1, Marissa Leffler5, Emily Hillman6, Haitham El-Noush7, Jo Mulligan8, Jeffrey C Murray9, Karlee Silver3, Joy E Lawn1.
Abstract
BACKGROUND: Grand Challenges for international health and development initiatives have received substantial funding to tackle unsolved problems; however, evidence of their effectiveness in achieving change is lacking. A theory of change may provide a useful tool to track progress towards desired outcomes. The Saving Lives at Birth partnership aims to address inequities in maternal-newborn survival through the provision of strategic investments for the development, testing and transition-to-scale of ground-breaking prevention and treatment approaches with the potential to leapfrog conventional healthcare approaches in low resource settings. We aimed to develop a theory of change and impact framework with prioritised metrics to map the initiative's contribution towards overall goals, and to measure progress towards improved outcomes around the time of birth.Entities:
Keywords: Impact metrics; Indicators; Innovation; Maternal health; Neonatal health; Stillbirth; Theory of change
Mesh:
Year: 2018 PMID: 29378667 PMCID: PMC5789747 DOI: 10.1186/s12992-018-0327-z
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Saving Lives at Birth; types of awards
| Award $US | ||
|---|---|---|
| Seed Award | To support the development and validation of ideas capable of impacting health outcomes for pregnant women and their babies in low-resource settings. | Max 250 for up to 2 years |
| Validation Award (new to round 5) | To introduce and validate the effectiveness of innovations to reach proof-of-concept. | Max 250 for up to 2 years |
| Transition-to-scale (TTS) Award | To develop, refine, and rigorously test the impact of integrated solutions that have previously measured promising health outcomes in a controlled or limited setting and have the potential to credibly scale to improve the lives of millions of pregnant women and newborns in multiple countries. Transition funding is limited to integrated solutions that unite technology, service delivery, and demand. | Max 2million for up to 4 years |
Mapping the perspectives of actors captured in the theory of change
| Perspective | What it can describe |
|---|---|
| Partner/ Stakeholder | - Demonstrates engagement of stakeholders. |
| - Depicts roles and responsibilities of partners across the program. | |
| - Depicts how partners link with innovators perspective to provide support throughout the program. | |
| Innovator | - Describes support available to innovators. |
| - Depicts how far innovators can go with specific grant. | |
| - Provides insight into what is needed (outside of the program) at later stages to move towards sustainable impact. | |
| Health policy makers, providers, and beneficiaries | - Actors external to the program that need to be engaged. |
| - Describes network needed and links to innovators in order to reach sustainable impact. |
Thematic summary of innovator’s feedback (DevelopmentXChange)
| Added value of partnership/ Saving Lives at Birth platform: |
| – Visibility |
| – Partnering and shared learning in community of innovators |
| – Integrated solutions |
| Maximising impact: |
| – Partnering and shared learning in community of innovators |
| – Engaging partners early |
| – Encourage all innovators to play active part in vision to impact at scale |
| – Need to understand: mechanisms/ risk to scale-up/ clear pathway to achieve impact |
| – Identifying priority areas |
| Specific comments and suggestion: |
| – Funding – small to take to scale, funding gap between seed and TTS grants |
| – Building capacity outside North America/ Europe |
| – Improving feedback mechanisms and support |
| – Competition process biases technology |
Fig. 1Saving lives at birth theory of change
Fig. 2Saving Lives at Birth impact framework
Impact & Outcome Indicators by highest rank order for importance, operational and value to end user
| Ranking by All ( | |
|---|---|
| 1 | Institutional Neonatal Mortality Rate |
| 2 | Intrapartum and very early neonatal death rate |
| 3 | Neonatal Mortality Rate |
| 4 | Institutional maternal mortality ratio |
| 5 | Direct obstetric case fatality rate |
| 6 | Intrapartum Stillbirth Rate |
| 7 | Maternal Mortality Ratio |
| 8 | Neonatal morbidity incidence/ prevalence rates |
| 9 | Stillbirth Rate |
| 10 | Maternal morbidity incidence/ prevalence rates |