DPhil Student of Clinical Medicine
Christiane is a Doctor of Philosophy (DPhil) Candidate in Clinical Medicine at the NDM Centre for Global Health Research since 2019, focussing on health systems and implementation research. Her DPhil project aims to look at how more rapidly available digital health data may enable the use of data-driven performance feedback at multiple levels of the health system and engage different actors in efforts to drive improvements in quality of neonatal care in low- and middle-income countries (LMICs). Christiane also has been working with the Centre for Tropical Medicine and Global Health since 2018, supporting research on health information systems and digital adoptions in LMICs. Prior to joining the University of Oxford, she worked as a scientific consultant supporting medical informatics projects in Germany commissioned by the Federal Ministry of Health and the Federal Ministry of Education and Research. During her Master of Public Health (MPH) studies at the Charité – Universitätsmedizin Berlin, Christiane focussed on infectious disease epidemiology, health policy research and social network analysis, and subsequently received a stipend to work with the Pandemic and Epidemic Disease Management team of the World Health Organization (WHO) in 2016.
The use of data to improve quality of neonatal hospital care and to help strengthen health systems.
Evaluation of an audit and feedback intervention to reduce gentamicin prescription errors in newborn treatment (ReGENT) in neonatal inpatient care in Kenya: a controlled interrupted time series study protocol.
Tuti T. et al, (2022), Implementation science : IS, 17
Task Sharing to Support Paediatric Service Delivery in Low- and Middle-income Countries: Current Practice and a Scoping Review of Emerging Opportunities
Zhao Y. et al, (2021)
Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya.
Hagel C. et al, (2020), BMJ global health, 5
Towards a Core Set of Indicators for Data Quality of Registries.
Harkener S. et al, (2019), Studies in health technology and informatics, 267, 39 - 45
Analysing published global Ebola Virus Disease research using social network analysis
Hagel C. et al, (2017), PLOS Neglected Tropical Diseases, 11, e0005747 - e0005747