Journal Design Emerald Editorial
African Food Systems Research (Interdisciplinary - incl Agri/Env) | 10 August 2008

Randomised Field Trial of a Diagnostic Framework for District Hospital System Reliability in Senegal

A, ï, s, s, a, t, o, u, D, i, a, g, n, e, ,, M, a, m, a, d, o, u, N, d, i, a, y, e
Health systems researchDistrict hospitalsSystem reliabilityRandomised trial
Cluster-randomised trial in 24 Senegalese district hospitals shows measurable system improvement.
Structured checklists and root-cause analysis across five operational domains.
Most substantial gains observed in medical supply logistics and maintenance systems.
Framework provides actionable guidance for targeted health system interventions.

Abstract

{ "background": "District hospitals in sub-Saharan Africa face persistent challenges in system reliability, affecting service delivery and patient outcomes. Existing assessment tools are often fragmented or lack a holistic operational focus, limiting their utility for guiding targeted interventions.", "purpose and objectives": "This study aimed to evaluate a novel diagnostic framework for assessing and improving hospital system reliability through a randomised field trial. The primary objective was to determine the framework's effect on a composite reliability score.", "methodology": "We conducted a parallel-group, cluster-randomised controlled trial in 24 district hospitals. Facilities were randomised to implement the diagnostic framework (intervention) or continue with routine practice (control). The framework comprised structured checklists and a facilitated root-cause analysis across five core operational domains. The primary outcome was the change in a composite reliability score (range 0-100) after 12 months. Analysis used a linear mixed-effects model: $Y{ij} = \\beta0 + \\beta1 Ti + uj + \\epsilon{ij}$, where $Y{ij}$ is the score for hospital j in group i, $Ti$ is the treatment indicator, $uj$ is the cluster random effect, and $\\epsilon{ij}$ is the residual error. Robust standard errors were estimated.", "findings": "Hospitals using the diagnostic framework showed a significantly greater improvement in mean composite reliability score compared to controls (adjusted mean difference: 8.7 points, 95% CI: 2.1 to 15.3, \(p=0\).012). The most substantial gains were observed in the domains of medical supply logistics and maintenance systems.", "conclusion": "The structured diagnostic framework effectively identified and guided remediation of systemic weaknesses, leading to measurable improvements in overall hospital operational reliability.", "recommendations": "Health ministries should consider integrating this diagnostic framework into routine hospital management and performance review cycles. Further research should investigate its long-term sustainability and cost-effectiveness.", "key words": "health systems strengthening,