@article{ref1,
title="Systematically Tabulated Outcomes Research Matrix (STORM): a methodology to generate research hypotheses",
journal="Surgery",
year="2014",
author="Crompton, Joseph G. and Oyetunji, Tolulope A. and Haut, Elliott R. and Cornwell, Edward E. and Haider, Adil H.",
volume="155",
number="3",
pages="541-544",
abstract="BACKGROUND: Here we describe the Systematically Tabulated Outcomes Research Matrix (STORM) method to generate research questions from pre-existing databases with the aim of improving patient outcomes. <br><br>MATERIALS AND METHODS: STORM can be applied to a database by tabulating its variables into a matrix of independent variables (y-axis) and dependent variables (x-axis) and then applying each unique pairing of an independent and dependent variable to a patient population to generate potentially meaningful research questions. <br><br>RESULTS: To demonstrate this methodology and establish proof-of-principle, STORM was applied on a small scale to the National Trauma Data Bank and generated at least seven clinically meaningful research questions. <br><br>CONCLUSION: When coupled with rigorous clinical judgment, the STORM approach complements the traditional method of hypothesis formation and can be generalized to outcomes research using registry databases across different medical specialties.<p /> <p>Language: en</p>",
language="en",
issn="0039-6060",
doi="10.1016/j.surg.2013.10.018",
url="http://dx.doi.org/10.1016/j.surg.2013.10.018"
}