Thesis
The use of data and dashboards to improve quality of neonatal hospital care in Kenya
- Abstract:
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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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- Files:
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(Preview, Dissemination version, pdf, 9.9MB, Terms of use)
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Authors
Contributors
+ English, M
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- NDM
- Role:
- Supervisor
- ORCID:
- 0000-0002-7427-0826
+ Molyneux, C
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- NDM
- Role:
- Supervisor
+ Paton, C
- Institution:
- University of Oxford
- Division:
- MSD
- Department:
- NDM
- Role:
- Supervisor
- ORCID:
- 0000-0001-6952-9621
+ Economic and Social Research Council
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
- Language:
-
English
- Keywords:
-
- Subjects:
- Pubs id:
-
2268848
- Local pid:
-
pubs:2268848
- Deposit date:
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2025-07-13
- ARK identifier:
Terms of use
- Copyright holder:
- Christiane Hagel
- Copyright date:
- 2024
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