The Case for Researching Biomechanics and Human Movement Using a Stochastic Model in a Peer Reviewed Journal to Generate Qualitative Evidence

Abstract

The Evidence Based Practice (EBP) of biomechanics and human movement (hereafter BHM) has been handcuffed by a lack of peer reviewed, high level, valid and clinically applicable evidence that has dampened the ability to use Sackett’s model of Evidence Based Medicine (EBM) clinically [1-3]. Current journal research protocols for EBM follow a deterministic model. In this model there are one or two dependent variables to be investigated and simultaneously all independent variables that could dampen the results are eliminated or controlled with an algorithm or statistical formulae. The deterministic model has both a high intratester (the same tester repeatedly gets the same results) and intertester (different testers repeatedly get the same results) efficiency a for it to be deemed high level. Because of the vast numbers of independent variables that exist when researching BHM [4], high level research has been forced to be complaint oriented (limited to signs or symptoms such as pain, an injury or a deformity [5]reducing its ability to have clinical applicability on a case to case basis.