Mr. Duncan Shikuku

Mr. Duncan Shikuku

Biography

Duncan Shikuku is a Technical Specialist in midwifery with the United Nations Population Fund in New York. He holds a PhD in Global Health from Liverpool School of Tropical Medicine (LSTM), Master of Science in Midwifery & Women’s Health from Makerere University, and Bachelor of Science in Nursing from Moi University, and he is also a UK Associate Fellow of Higher Education Academy. He has over 10 years’ experience in successful designing, implementing and evaluating effectiveness of multi-donor-funded in-service maternal, newborn and child health and pre-service midwifery education programmes in low-resource settings.

Currently, he supports technical implementation of midwifery and maternal, newborn and child health programmes, co-ordinates and implements priority research and innovation strategies, contributes to advocacy and knowledge sharing on best practices to strengthen midwifery programme implementation, and contributes to strategic global collaborations and partnerships in development of global maternal, newborn and child health/midwifery guidelines/standards and technical resources.

Previously Duncan worked with LSTM and Save the Children International in Kenya maternal, newborn and child health programmes at national and sub-national level providing technical guidance to the Ministry of Health. He supported on high-impact sustainable programming, pre-service and in-service midwifery education and training including curriculum reviews and implementation and evaluating their effectiveness at educator and student level, emergency obstetrics and newborn care, and maternal and perinatal deaths surveillance and response.

Duncan has published on midwifery and maternal, newborn and child health and contributes as a scholarly peer reviewer with top global journals.

Research interests

Duncan’s main research interests are global maternal, newborn and child health and midwifery issues including testing the feasibility and effectiveness of high-impact interventions for scale using robust experimental designs and mixed methods research designs.Β