Data collection using open access technology in multicentre operational research involving patient interviews.

Area of Science:

• Operational Research
• Health Informatics
• Global Health

Background:

• Multicentre operational research faces logistical challenges, particularly in resource-constrained settings.
• Patient interviews and record reviews add complexity to data collection and management.
• Existing methods may not be cost-effective or efficient for large-scale studies.

Purpose of the Study:

• To describe an innovative model for efficient and quality-assured data collection in multicentre operational research.
• To demonstrate the utility of open-access tools in overcoming logistical barriers.
• To provide a scalable solution for researchers in diverse settings.

Main Methods:

• Utilized open-access tools: Dropbox for file sharing, TeamViewer for remote support, and CamScanner for document digitization.
• Implemented these tools in an ongoing multicentre operational research study involving record reviews and patient interviews.
• Focused on efficient data transfer, secure storage, and streamlined monitoring.

Main Results:

• Achieved efficient, quality-assured data collection across multiple research sites.
• Demonstrated the feasibility and effectiveness of using readily available open-access tools.
• Successfully managed data from both record reviews and patient interviews.

Conclusions:

• Open-access tools offer a viable and efficient solution for multicentre operational research data collection.
• This model is particularly beneficial for research in resource-constrained environments.
• The described tools and methods are shareable for broader research adaptation.