A Randomised Field Trial Evaluating District Hospital Risk Reduction Methodologies in South Africa

{ "background": "District hospitals in South Africa face systemic risks affecting patient safety and operational resilience. Existing risk assessment frameworks are often not validated in low-resource, high-pressure clinical environments, creating a gap in evidence-based management protocols.", "purpose and objectives": "This brief report aimed to methodologically evaluate and compare the efficacy of two structured risk reduction methodologies—a failure mode and effects analysis (FMEA) versus a tailored incident reporting system (IRS)—in reducing reported clinical risk events within a district hospital setting.", "methodology": "We conducted a randomised field trial, allocating 24 district hospital departments to one of the two intervention arms. The primary outcome was the change in the normalised rate of reported risk events per 1000 patient-days over a six-month intervention period. Analysis employed a generalised linear mixed model: log(E(Yit)) = \β0 + \β1 + \β2 + \β3 ( \× ) + ui, where Yit is the event count for department i at time t, and $ui$ are random intercepts.", "findings": "Departments using the tailored IRS demonstrated a significantly greater reduction in risk event rates compared to the FMEA arm (incidence rate ratio 0.65, 95% CI 0.52 to 0.81). The IRS was associated with a 35% greater reduction in reported events. Robust standard errors confirmed the stability of this estimate.", "conclusion": "A tailored incident reporting system proved superior to a standard FMEA approach for measurable risk reduction in this pragmatic trial context.", "recommendations": "Healthcare administrators should prioritise the implementation of contextually adapted incident reporting systems over more complex FMEA methodologies for initial risk reduction in resource-constrained district hospitals.", "key words": "health systems research, patient safety,