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Professor David Gathara

Professor David Gathara

Post-doctoral researcher

Research groups:

Biography

David is a health systems researcher currently leading work on nursing services research aimed at developing indicators, tools and approaches for evaluating the quality of nursing care delivered in hospitals. He also co-leads the Health Services that Deliver for Newborns programme of work whose focus is on understanding the burden, need and access of newborn care services as well as evaluating the quality of newborn care services. He holds a Master of Science in Epidemiology from the London School of Hygiene and Tropical Medicine and a PhD from the University of Amsterdam. Since joining KWTRP in August 2008, his research work has spanned a range of disciplines including, clinical trials, evaluation of the quality of care within hospitals and exploration of the application of various statistical methods (propensity score analysis, multi-level models and statistical process control) to routine data. David played a key role in the development, database design and setting up of the Clinical Information Network – a pragmatic research database collecting patient-level data from all paediatric admissions from 14 county referral hospitals and aims at improving the use of information in policy and practice. He has broad interests in the use of epidemiology to monitor disease trends, and interventions effects, identify the quality of care gaps and the use of this data for effective decision making although with a bias on how human resources for health more specifically the nursing workforce influences the quality of care provided. His future work aims at developing human resource interventions as well as optimising approaches for nursing care provision.

David is the Kenya site project lead for the Harnessing Innovation in Global Health for Quality Care (HIGH-Q) programme of work has a specific focus on neonatal care in low and middle-income countries’ hospitals and explores the inter-relationships between technology adoption, workforce deficits and quality of care.

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