Impact of medAL-mentor, a Real-time Mentoring and Benchmarking Tool, on Antibiotic Prescription Among Children in Primary Health Care Facilities in Tanzania

ePOCT+ is a paediatric digital clinical decision support algorithm for health workers in primary care facilities in Tanzania. The objective is to improve the integrated management of acutely ill children aged 1 day to 14 years and reduce inappropriate antibiotic prescriptions.

Preliminary findings from the first phase of the DYNAMIC project, an open-label cluster randomized controlled study performed in 40 health facilities, showed a reduction in antibiotic prescription by health providers from about 70% in the control arm to 23% in health facilities using ePOCT+, with similar clinical outcomes in children at day 7. Nevertheless, uptake of ePOCT+ and antibiotic prescription in the intervention arm were very heterogeneous across health facilities.

Benchmarking in healthcare is defined as "a process of comparative evaluation and identification of the underlying causes leading to high levels of performance". The findings and experiences of different institutions are shared, and elements of best practices are adopted to improve performance. Benchmarking has been promoted for years by infectious diseases societies as a component of hospital antimicrobial stewardship programs, to reduce antibiotic prescription. Benchmarking has also been shown to be an effective incentive to improve the quality of care in various settings, including primary care practice. Unfortunately, published initiatives have largely come from high-income countries.

In the context of the DYNAMIC project, we developed a near real-time mentoring tool, medAL-mentor, based on a monitoring and benchmarking dashboard using data collected through ePOCT+. The tool provides direct feedback to health workers on their performance, based on several clinical indicators (including antibiotic prescription), in comparison with data from other health facilities. The monitoring team will target calls and monitoring visits to health facilities based on these indicators and use the dashboard to facilitate discussions with healthcare workers.

This ancillary study, MedAL-mentor, aims to assess whether this real-time mentoring tool based on data generated by a clinical decision support algorithm, as well as feedback from the mentoring team, improves healthcare workers' compliance with guidelines - and therefore the quality of care for sick children at primary care level.