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Systematically Tabulated Outcomes Research Matrix (STORM): a methodology to generate research hypotheses
Joseph G Crompton1, Tolulope A Oyetunji2, Elliott R Haut3
1Department of Surgery, University of California-Los Angeles, Los Angeles, CA.
Surgery
|January 21, 2014
Summary
The Systematically Tabulated Outcomes Research Matrix (STORM) method generates research questions from databases to improve patient outcomes. This approach, demonstrated on the National Trauma Data Bank, aids clinical judgment and hypothesis formation.
Area of Science:
- Medical Informatics
- Health Services Research
- Clinical Research Methodology
Background:
- Generating novel research questions is crucial for advancing patient care.
- Traditional hypothesis formation can be time-consuming and may overlook data-driven insights.
- Leveraging existing patient databases offers a rich source for research question development.
Purpose of the Study:
- To introduce and validate the Systematically Tabulated Outcomes Research Matrix (STORM) method.
- To demonstrate STORM's utility in generating clinically meaningful research questions from pre-existing databases.
- To enhance the process of outcomes research and hypothesis generation.
Main Methods:
- The STORM method involves tabulating database variables into a matrix.
- Independent and dependent variables are systematically paired.
- Each variable pairing is applied to a patient population to generate research questions.
Main Results:
- STORM was applied to the National Trauma Data Bank for proof-of-principle.
- The methodology successfully generated at least seven clinically meaningful research questions.
- This demonstrates the practical application of STORM in a real-world dataset.
Conclusions:
- The STORM approach complements traditional hypothesis formation methods.
- Rigorous clinical judgment is essential when utilizing STORM-generated questions.
- STORM is generalizable to outcomes research across various medical specialties using registry databases.
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