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Thesis

Clinical prediction modelling to guide decision making for essential neonatal services in Kenyan hospitals

Abstract:

Introduction

More than 98% of neonatal deaths occur in low and middle income countries(LMICs) and hospitals in these regions are expected to play a key role toward achievement of SDG 3.2 “reduce neonatal mortality to 12 per 1000 live births and below. One approach in efforts to achieve this is to use data for decision making to improve quality of hospital care for neonates.

Methods

Using the largest neonatal unit data set in Kenya (11,850 observations...

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Authors


Martin Jalemba Aluvaala More by this author

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Role:
Supervisor
Role:
Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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