Modelling Length of Hospital Stay for Tuberculosis
Treated in-Patients at Queen Elizabeth Central Hospital: a Competing Risk
Perspective by Halima S Twabi in Open Access Biostatistics & Bioinformatics
A retrospective cohort study was done on adult
Tuberculosis (TB) in-patients from Queen Elizabeth Central Hospital (QECH)
Surveillance Programme of In-patients and Epidemiology (SPINE) database to
identify factors explaining time to discharge from hospital while accounting
for a competing event: death. The study aimed to apply and compare competing
risk models on TB data. Semi-parametric Cause-specific hazards (CSH) and
Sub-distribution hazard (SDH) models were applied to model the effect of HIV
status, age, and Sex in relation to death or discharge from hospital. Test for
model assumptions and diagnostics were conducted. Findings showed that the SDH
explained best the effect of the covariates to the probability of a patient
being discharged or dying.
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