A Mixed Methods Analysis of a Clinical Decision Support Algorithm's Effect on Paediatric Pneumonia Antibiotic Over-Prescription in Freetown's Outpatient Clinics

This study addresses a current research gap in Medicine concerning Analyzing the effect of a clinical decision support algorithm for pediatric pneumonia on antibiotic over-prescription in outpatient clinics of Freetown, Sierra Leone in Sierra Leone. The objective is to clarify key debates, identify practical implications, and outline a focused agenda for scholarship and policy. A mixed‑methods design was used, combining survey and interview data collected over the study period. The analysis indicates persistent structural constraints alongside emerging local innovations; however, evidence remains uneven across contexts and sectors. The paper argues for context‑specific approaches and stronger empirical foundations in future research. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Analyzing the effect of a clinical decision support algorithm for pediatric pneumonia on antibiotic over-prescription in outpatient clinics of Freetown, Sierra Leone, Sierra Leone, Africa, Medicine, mixed methods study This structured abstract provides a standardised summary to support rapid screening, indexing, and assessment of scholarly contribution.