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ePOCT+ Rwanda: A Clinical Decision Support Algorithm For Managing Sick Children Below 15 Years of Age in Primary
Vera von Kalckreuth1,2, Victor P Rwandarwacu1, Ludovico Cobuccio1,3
1Swiss Tropical and Public Health Institute, Kigali, Rwanda.
Digital clinical decision support algorithms (CDSAs) improve antibiotic prescribing in resource-limited areas. The ePOCT+ Rwanda CDSA, based on WHO guidelines, aids diagnosis and management for children, reducing antimicrobial resistance risks.
Area of Science:
- Digital health interventions
- Global health
- Clinical decision support systems
Background:
- Resource-constrained primary health systems face challenges like staff shortages and diagnostic uncertainty, leading to antibiotic overuse and antimicrobial resistance.
- Digital clinical decision support algorithms (CDSAs) can enhance guideline adherence and improve prescribing practices among healthcare workers.
- The DYNAMIC project aimed to address these issues in Rwanda through innovative digital tools.
Purpose of the Study:
- To present the scope and content of the 'ePOCT+ Rwanda' (electronic Point-Of-Care Tests +) CDSA.
- To describe the adaptation of the algorithm based on WHO IMCI guidelines for Rwandan paediatric primary care.
- To detail the integration of specific point-of-care tests within the CDSA.
Main Methods:
- The ePOCT+ Rwanda CDSA was developed based on WHO IMCI guidelines, expanded for ages 1 day to 14 years.
- The algorithm covers 57 diagnoses for young infants (<2 months) and 144 diagnoses for children (2 months to 14 years).
- A digital application guided users through medical history, physical exams, and lab tests to suggest diagnoses and management, incorporating haemoglobin, C-reactive protein tests, and pulse oximetry.
Main Results:
- The ePOCT+ Rwanda CDSA was successfully trialed in primary health centers in Rusizi and Nyamasheke districts.
- The algorithm integrates clinical data with point-of-care test results to provide diagnostic and treatment recommendations.
- Alignment with Rwandan paediatric guidelines and adaptation for primary care settings were key aspects of its development.
Conclusions:
- The ePOCT+ Rwanda CDSA offers a structured approach to diagnosis and management in primary care settings with limited resources.
- By supporting evidence-based prescribing, the CDSA has the potential to mitigate antimicrobial resistance.
- Further integration of digital tools like ePOCT+ is crucial for strengthening primary healthcare systems in resource-constrained environments.
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