Dr Lucy Kanya is Assistant Professorial Research Fellow in the Department of Health Policy. She is also a visiting researcher at the Health Economics Research Group (HERG) at Brunel University London.
Dr Kanya has in the past worked on operational research and evaluation programs in maternal and new-born child health, integrated sexual reproductive health and HIV/AIDS; and malaria programmes in Sub-Saharan Africa. She has also worked on the evaluation of demand side health financing programmes in Kenya and Uganda. She has been involved in the synthesis of evidence on varied topics including economic evaluation methods, interventions for specific diseases and the establishment and / or strengthening of national health research systems. More recently, Dr Kanya held research positions with the Health Economics Research Group and the Academic Skills Support team at Brunel University, London.
Dr Kanya is interested in the politics of health care financing in developing countries and the evaluation of varied financing options. Dr Kanya's current research focuses on the use of stated preference techniques for benefit valuation with a focus on maternal health. She is also working on the validation and generalisability of such methods for use in the health sector.
Dr Kanya is currently part of the LSE team working on the African Health Observatory - Platform on Health Systems and Policies (AHOP). The partnership includes WHO’s African Health Observatory, the European Observatory on Health Systems and Policies and leading research institutions in Ethiopia, Kenya, Nigeria, Rwanda and Senegal, with further expansion planned. The Platform seeks to promote evidence-informed policy-making in the African region by synthesising existing research and generating new evidence on health systems performance.
PhD, Brunel University London
MSc, London School of Economics and Political Science (LSE)
MPH, University of Nairobi, Kenya
Financing Health Care
Economic Evaluation in Health Care
Systematic Review and Meta-analysis
Health Economics Research Group, Brunel University London
*LT subject to change