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Assessing the effectiveness of metaHelper: a randomized controlled trial of a web application for statistical
Robert Emprechtinger1, Guido Schwarzer2, Günther Schreder3
1Berlin Institute of Health at Charité (BIH), BIH QUEST Center for Responsible Research Berlin, Berlin, Germany.
Journal of Clinical Epidemiology
|December 18, 2024
Summary
The metaHelper web application significantly improves accuracy in statistical transformations for meta-analysis, reducing errors from 69% to 15%. It also speeds up calculations, saving an average of 133 seconds per task.
Area of Science:
- Biostatistics
- Medical Informatics
Background:
- Meta-analysis requires complex statistical transformations, which are prone to errors.
- Manual data transformation can be time-consuming and lead to inaccuracies.
Purpose of the Study:
- To evaluate the effectiveness of the metaHelper web application in reducing errors and time for meta-analysis statistical transformations.
- To compare the performance of metaHelper against traditional methods and freely available online resources.
Main Methods:
- A parallel randomized controlled trial was conducted with 26 participants.
- Participants performed six common statistical calculations, with performance measured by accuracy and time.
- The experimental group used metaHelper, while the control group used other resources.
Main Results:
- The metaHelper group achieved 85% accuracy, compared to 31% in the control group.
- Participants using metaHelper were 133 seconds faster per task on average.
- This indicates a significant reduction in calculation errors and time.
Conclusions:
- MetaHelper substantially enhances accuracy and efficiency in statistical transformations for meta-analysis.
- The web application streamlines critical calculations, supporting researchers in conducting meta-analyses accurately and efficiently.
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