Clinical prediction modelling to guide decision making for essential neonatal services in Kenyan hospitals
<p><em>Introduction</em></p> <p>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....
Main Author: | Aluvaala, M |
---|---|
Other Authors: | English, M |
Format: | Thesis |
Published: |
2018
|
Similar Items
-
Predicting in-hospital mortality using routine data to guide decision making for essential neonatal care
by: Aluvaala, M, et al.
Published: (2018) -
Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study
by: Irimu, G, et al.
Published: (2021) -
Evaluating the effects of supplementing ward nurses on quality of newborn care in Kenyan neonatal units: protocol for a prospective workforce intervention study
by: Imam, A, et al.
Published: (2022) -
Evaluating the effects of supplementing ward nurses on quality of newborn care in Kenyan neonatal units: protocol for a prospective workforce intervention study
by: Abdulazeez Imam, et al.
Published: (2022-10-01) -
Neonatal seizures in a rural Kenyan District Hospital: aetiology, incidence and outcome of hospitalization.
by: Mwaniki, M, et al.
Published: (2010)