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Published on: January 19, 2024
Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper
David G Dillon1, Fraser Pirie2, Stephen Rice3
1International Health Research Group, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, United Kingdom; Genetic Epidemiology Group, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, United Kingdom.
The African Partnership for Chronic Disease Research developed an open-source electronic questionnaire (EQ) for resource-poor settings. This EQ demonstrated higher accuracy and cost-effectiveness compared to paper methods in a South African diabetes study.
Area of Science:
- Public Health
- Health Informatics
- Epidemiology
Background:
- Electronic data capture tools are often too expensive or technically challenging for resource-limited settings.
- Large-scale multicenter studies in sub-Saharan Africa require accessible data collection solutions.
- The African Partnership for Chronic Disease Research (APCDR) developed an open-source electronic questionnaire (EQ).
Purpose of the Study:
- To assess the relative validity of the APCDR open-source electronic questionnaire (EQ).
- To compare the EQ's performance against traditional pen-and-paper data collection methods.
Main Methods:
- A comparative validation study was conducted.
- 200 randomized interviews were performed, comparing the EQ with pen-and-paper methods.
- The study was set within an ongoing type 2 diabetes case-control study in South Africa.
Main Results:
- The EQ exhibited a significantly lower error frequency (0.17 errors/100 questions) compared to paper (0.73 errors/100 questions; P≤0.001).
- The EQ demonstrated a lower monetary cost per correctly entered question.
- Interview durations were comparable between the EQ (5.4 minutes) and paper methods (5.6 minutes).
Conclusions:
- The APCDR EQ offers improved accuracy and cost-effectiveness over traditional paper-based data collection.
- The EQ provides a viable solution for data collection in resource-limited settings, maintaining similar interview efficiency.
- The open-source APCDR EQ software is freely available for implementation in research studies.
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