Search
Now showing items 1-10 of 21
Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data
(University of Nairobi, 2021)
Composite scores are useful in providing insights and trends about complex and multidimensional quality of care processes. However, missing data in subcomponents may hinder the overall reliability of a composite measure. ...
Employing learning health system principles to advance research on severe neonatal and pediatric illness in Kenya.
(BMJ, 2021)
We have worked to develop a Clinical Information Network (CIN) in Kenya as an early form of learning health systems (LHS) focused on paediatric and neonatal care that now spans 22 hospitals. CIN's aim was to examine important ...
Prediction modelling of inpatient neonatal mortality in high-mortality settings.
(BMJ, 2020)
Objective: Prognostic models aid clinical decision making and evaluation of hospital performance. Existing neonatal prognostic models typically use physiological measures that are often not available, such as pulse oximetry ...
Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study
(University of Nairobi, 2021-05)
Background: Most of the deaths among neonates in low-income and middle-income countries (LMICs) can be prevented through universal access to basic high-quality health services including essential facility-based inpatient ...
First do no harm: practitioners' ability to 'diagnose' system weaknesses and improve safety is a critical initial step in improving care quality
(University of Nairobi, 2021-02)
Healthcare systems across the world and especially those in low-resource settings (LRS) are under pressure and one of the first priorities must be to prevent any harm done while trying to deliver care. Health care workers, ...
Prognostic models for predicting in-hospital paediatric mortality in resource-limited countries: a systematic review
(University of Nairobi, 2020)
Objectives: To identify and appraise the methodological rigour of multivariable prognostic models predicting in-hospital paediatric mortality in low-income and middle-income countries (LMICs).
Design: Systematic review ...
Examining which clinicians provide admission hospital care in a high mortality setting and their adherence to guidelines: an observational study in 13 hospitals
(University of Nairobi, 2020)
Background: We explored who actually provides most admission care in hospitals offering supervised experiential training to graduating clinicians in a high mortality setting where practices deviate from guideline ...
Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumption
(University of Nairobi, 2020)
Missing information is a major drawback in analyzing data collected in many routine health care settings. Multiple imputation assuming a missing at random mechanism is a popular method to handle missing data. The missing ...
The Clinical Profile of Severe Pediatric Malaria in an Area Targeted for Routine RTS,S/AS01 Malaria Vaccination in Western Kenya
(University of Nairobi, 2020)
Background
The malaria prevalence has declined in western Kenya, resulting in the risk of neurological phenotypes in older children. This study investigates the clinical profile of pediatric malaria admissions ahead of ...
How to do no harm: empowering local leaders to make care safer in low-resource settings.
(University of Nairobi, 2021)
In a companion paper, we showed how local hospital leaders could assess systems and identify key safety concerns and targets for system improvement. In the present paper, we consider how these leaders might implement ...