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Thesis

The use of data and dashboards to improve quality of neonatal hospital care in Kenya

Abstract:

The Sustainable Development Goals (SDGs) aim to reduce neonatal mortality to at least 12 deaths per 1,000 live births by 2030, yet significant newborn care challenges persist in low- and middle-income countries (LMICs), casting doubt on whether this target will be met. The World Health Organization’s Every Newborn Action Plan highlights the urgent need to reduce newborn mortality and morbidity and use data to improve quality of care. However, research has focused on data availability, syst...

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Sub unit:
Centre for Tropical Medicine and Global Health at Oxford
Research group:
Health Systems Collaborative
Oxford college:
Green Templeton College
Role:
Author
ORCID:
https://orcid.org/0000-0003-0190-9163

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Supervisor
ORCID:
0000-0002-7427-0826
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Role:
Supervisor
ORCID:
0000-0001-6952-9621


More from this funder
Funder identifier:
https://ror.org/03n0ht308
Programme:
Grand Union Doctoral Training Partnership (GUDTP) Programme


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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