Over, the last 10 years, David’s research work has spanned i) development of routine data capture methods, ii) evaluation of clinical and nursing quality of care within hospitals, iii) development of metrics for nursing quality of care, iv) set-up and data management for pragmatic clinical trials, v) exploration of the application of various statistical methods (propensity score analysis, multi-level models and statistical process control) to routine data and vi) evaluation of multifaced complex interventions using multiple and/or mixed methods.

He has broad interests’ in the use of quantitative and qualitative methods in identify quality of care gaps, development of routine data capture methods 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.

Within LSHTM, David is part of the NEST360 team and will be focusing on generating evidence for interventions required for small and sick newborns using a health systems approach.