Multicomponent Musculoskeletal Movement Assessment Tools: A Systematic Review and Critical Appraisal of Their Development and Applicability to Professional Practice

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Bennett, H, Davison, K, Arnold, J, Slattery, F, Martin, M, and Norton, K. Multicomponent musculoskeletal movement assessment tools: a systematic review and critical appraisal of their development and applicability to professional practice. J Strength Cond Res 31(10): 2903–2919, 2017—Multicomponent movement assessment tools have become commonplace to measure movement quality, proposing to indicate injury risk and performance capabilities. Despite popular use, there has been no attempt to compare the components of each tool reported in the literature, the processes in which they were developed, or the underpinning rationale for their included content. As such, the objective of this systematic review was to provide a comprehensive summary of current movement assessment tools and appraise the evidence supporting their development. A systematic literature search was performed using PRISMA guidelines to identify multicomponent movement assessment tools. Commonalities between tools and the evidence provided to support the content of each tool was identified. Each tool underwent critical appraisal to identify the rigor in which it was developed, and its applicability to professional practice. Eleven tools were identified, of which 5 provided evidence to support their content as assessments of movement quality. One assessment tool (Soccer Injury Movement Screen [SIMS]) received an overall score of above 65% on critical appraisal, with a further 2 tools (Movement Competency Screen [MCS] and modified 4 movement screen [M4-MS]) scoring above 60%. Only the MCS provided clear justification for its developmental process. The remaining 8 tools scored between 40 and 60%. On appraisal, the MCS, M4-MS, and SIMS seem to provide the most practical value for assessing movement quality as they provide the strongest reports of developmental rigor and an identifiable evidence base. In addition, considering the evidence provided, these tools may have the strongest potential for identifying performance capabilities and guiding exercise prescription in athletic and sport-specific populations.

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