Methodological Evaluation of Emergency Care Systems in Kenya Using Panel Datafor Clinical Outcome Measurement

Emergency care systems in Kenya are critical for managing acute health crises. However, their effectiveness varies significantly across different regions and over time. The study employs a fixed-effects regression model to analyse longitudinal data from multiple ECUs across Kenya. The statistical model is represented as: yᵢₜ = eta₀ + eta₁Xᵢₜ + uᵢ + vₜ, where yᵢₜ represents clinical outcomes, Xᵢₜ includes patient demographics and treatment variables, and uᵢ and vₜ account for unobserved unit-specific effects and time trends. We found that the presence of a multidisciplinary team in ECUs significantly improved patient recovery rates by approximately 15% compared to units without such teams (p < 0.05). The findings suggest that enhancing personnel composition can lead to better clinical outcomes, which could inform policy adjustments for resource distribution. Public health authorities should prioritise training and staffing of multidisciplinary teams in ECUs to ensure equitable access to quality emergency care.