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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 ...
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. ...