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Increasing Access to Casualty Care Data in Low-Resource Conflict Settings: A Practical Toolkit
Hannah B Wild1,2, S Yves G Sanou3, Fabrice S A Boko3
1Department of Surgery, University of Washington, Seattle, Washington, USA.
A new toolkit offers standardized data collection for casualties in low-resource conflict settings. This system aims to improve documentation and reduce preventable deaths and disabilities in vulnerable populations.
Area of Science:
- Global Health
- Trauma Surgery
- Medical Informatics
Background:
- Trauma registries are crucial for reducing combat casualty deaths in high-resource militaries.
- Standardized data collection for casualties in low-resource conflict settings (LRCS) is lacking.
- Existing efforts to implement trauma registries in low-resource countries lack standardization.
Purpose of the Study:
- To develop a standardized, open-access data collection toolkit for casualty care in LRCS.
- To create a harmonized data collection instrument adaptable to varying resource levels.
- To facilitate improved documentation and evidence-based decision-making in LRCS.
Main Methods:
- Developed a casualty data form (CDF) based on prior analysis in Burkina Faso.
- Iteratively refined the CDF through data collection and evaluated it against existing tools (WHO, DoDTR).
- Translated the CDF into electronic formats (Excel, KoboToolbox) for diverse usability.
Main Results:
- A comprehensive toolkit was created, including paper and electronic (Excel, KoboToolbox) versions of the CDF.
- The toolkit captures 29 key variables: demographics, prehospital care, injury details, resource use, surgical interventions, and outcomes.
- The CDF is designed for compatibility with limited connectivity and minimal data infrastructure.
Conclusions:
- An open-access toolkit for casualty care data collection in LRCS is presented.
- Standardized instruments in multiple formats can improve documentation in resource-limited settings.
- Enhanced data collection can support data-driven strategies to reduce mortality and morbidity in LRCS.
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