Transforming Maternal and Newborn (MN) Data to End Preventable Deaths: Successes, Constraints, and New Ideas

This session will 
1. Illustrate current challenges of MN data quality and use, by presenting new evidence from systematic review of literature, country case studies and perspectives.

2. Share successful solutions and new ideas to improve MN data quality and use, by highlighting key lessons learned identified by multiple-stakeholders, including UN agencies, Academia, NGOs and other development partners. 

3. Additionally, the session aims at offering, both directly and indirectly, opportunities to explore new partnerships.

The session has been designed to allow presenting different perspectives, experiences and voices on how to transform MNH data quality and use, by including a wide range of speakers (diverse in terms of geography, role, age, gender) and an interactive format which will further engage the audience.

PART 1. MN data quality and use: where are we now?

• What is the evidence on MN data quality and use? (Professor Marzia Lazzerini LSHTM, Dr Firehiwot Abathun; dr Dr Ousman Mouhamadou)
• Case study on impact of low MN data quality and use on policies (Prof Peter Waiswa, Rornald Muhumuza KananuraMakerere University)

PART 2. Success stories and new ideas for strengthening MN data quality and use 

• Key cross-cutting lessons learned from the WHO QOC Network (Dr Martin Dohlstenm WHO HQ)
• Key lessons learned from the VON/ANA (Danielle Ehret, VON Network, Alex Stevenson, ANA, Tendai Mutema and Redeat Workneh)
• Key lessons on data quality improvement the Fhi360 experience (Dr Sharon Tsui, Uganda)
• Common themes (Prof Lazzerini LSHTM)
• Audience participation