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Improving Trauma Data Quality in Rwanda: A Prospective Assessment of Registry Completeness and Accuracy
Jean Nepomuscene Ntezimana1, Indrakantha Welgama2, Assuman Nuhu1
1College of Medicine and Health Sciences, University of Rwanda, Kigali P.O. Box 4285, Rwanda.
Journal of Clinical Medicine
|July 28, 2026
Summary
A quality improvement initiative in Rwanda significantly enhanced trauma registry data. Completeness and accuracy of trauma records improved measurably over time, supporting better healthcare decisions.
Area of Science:
- Public Health
- Health Informatics
- Quality Improvement Science
Background:
- High-quality trauma data is crucial for effective decision-making in healthcare.
- Trauma registries in low- and middle-income countries often face challenges with data completeness and accuracy.
- Rwanda sought to improve its trauma registry system to enhance data reliability.
Purpose of the Study:
- To assess the quality of trauma registry data in Rwandan hospitals.
- To describe a coordinated implementation package designed to improve trauma registry completeness and accuracy.
- To evaluate the impact of a quality improvement initiative on trauma data.
Main Methods:
- A prospective, longitudinal quasi-experimental quality improvement study was conducted.
- Data were collected monthly across eight hospitals in Rwanda over a two-year period (October 2023 - September 2025).
- Key data quality indicators (case missingness, variable missingness, variable accuracy) were assessed using a standardized protocol.
Main Results:
- A total of 26,268 trauma cases were analyzed.
- Significant monthly improvements were observed: case missingness decreased by 0.72%, variable missingness by 0.33%, and variable accuracy increased by 0.25%.
- Statistical models confirmed these temporal trends in data quality enhancement.
Conclusions:
- A coordinated, bundled quality improvement process, guided by Plan-Do-Study-Act (PDSA) cycles, led to substantial improvements in trauma registry completeness and accuracy in Rwanda.
- The study highlights the effectiveness of a structured approach to enhancing health data quality in resource-limited settings.
- Results indicate associations over time, acknowledging the uncontrolled nature and bundled interventions of the study.
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