The Quality Management Improvement Approach: Successes and Lessons Learned From a Workforce Development Intervention in Rwanda's Health Supply Chain.

BACKGROUND

Rwanda's supply chain is decentralized, with regional warehouse pharmacies and service delivery points (SDPs) ensuring a reliable health commodities supply. However, in 2016, the Rwanda Ministry of Health (MOH) identified challenges with the supply chain workforce contributing to a high stock-out rate, inventory stock inaccuracies, and underutilization of the electronic logistics management information system (e-LMIS). We aimed to document successes and lessons learned from implementing a workforce development intervention to address these challenges.

PROGRAM DESCRIPTION

Rwanda's MOH and the U.S. Agency for International Development Global Health Supply Chain Program-Procurement and Supply Management project implemented a workforce development intervention, the Quality Management Improvement Approach (QMIA), to improve and sustain Rwanda's service delivery and medicines availability. The QMIA monitors the performance of supply chain professionals while continuously building their capacity to run a smooth supply chain operation. The QMIA includes supervisory visits to measure key performance indicators and discussion sessions for experience-sharing and skill-building. The central level conducts both components, supporting regional warehouses that in turn assist SDPs through supervisory visits and discussion sessions.

RESULTS

Since 2017, the QMIA has been conducted twice a year in 596 SDPs and 30 regional warehouses and has trained 1,296 supply chain staff members. The intervention has contributed to major improvements in several key supply chain outcomes (2017 versus 2019): increased utilization of the e-LMIS (55% to 96%), higher inventory data accuracy (25% to 85%), and reduced stock-outs (10% to 1%).

CONCLUSIONS

The QMIA has proven to be a successful training and capacity-building platform for supply chain management in Rwanda, enhancing system utilization and availability of accurate data to guide decision-making. Notably, the approach fosters a positive behavioral change to build local solutions and improves communication.