Literature reviewThe interrater and intrarater reliability of the functional movement screen: A systematic review with meta-analysis
Introduction
The Functional Movement Screen (FMS™) was developed to improve screening for individuals who participate in physical activities by identifying limitations and restrictions in completing 7 movement tasks: deep squat, hurdle step, in-line lunch, shoulder mobility, active straight leg raise, trunk stability push-up, and rotatory stability (Cook et al., 2006a, Cook et al., 2006b). It has been theorized that individuals who compensate or have pain when completing the FMS™ tasks may exhibit poor movement patterns during physical activity or sport, thus predisposing them to injury (Cook et al., 2006a, Cook et al., 2006b). The FMS™ is comprised of 7 movement tasks that are both functional and dynamic and incorporate the entire kinetic chain (Cook et al., 2006a).
The 7 movement tasks are scored on a 0–3 ordinal scale (Cook et al., 2006a, Cook et al., 2006b, Cook et al., 2014). A score of 3 indicates the individual is able to perform the movement without compensation, a score of 2 indicates the movement is performed but with other compensatory movements, a score of 1 is rendered if the movement is unable to be performed and a score of 0 is given when pain is elicited when performing the task (Cook et al., 2006a, Cook et al., 2006b, Cook et al., 2014). In addition, most of the functional movement tasks are assessed bilaterally to identify asymmetrical patterns (Cook et al., 2006a, Cook et al., 2006b, Cook et al., 2014). The total score is summed, using the patient or client's lowest score if the task was assessed bilaterally (Cook et al., 2006a, Cook et al., 2006b, Cook et al., 2014). The total score an individual can receive is 21, and the lower the score, the greater the client or patient's risk for injury. Previous research has demonstrated a score of ≤14 on the FMS was predictive of injury for professional football players (Kiesel, Pilsky, Voight, & Kaminski, 2007), female collegiate athletes (Chorba, Chorba, Bouillon, Overmyer, & Landis, 2000) and officer candidates (O'Connor, Deuster, Davis, Pappas, & Knapik, 2011).
Due to the relative minimal amount of time it takes to perform the FMS™ and the relatively quick and easy scoring mechanism, the FMS™ can easily be implemented as a screening assessment for individuals who participate in physical activity (Jade, 2013). However, the clinometric properties of the FMS™ must be explored to ensure it is reliable within and between clinicians to enable consistent identification of limitations, restrictions and asymmetrical movement patterns (Gulgin and Hoogenboom, 2014, Minick et al., 2010, Smith et al., 2013). If the screening tool is reliable within and between clinicians, identifying the effectiveness of treatment strategies to improve compromised or painful tasks will be clearer as changes in the overall score for the tasks in which patients and athletes had difficulty or pain when completing would be more likely due to the intervention rather than the lack of reliability between clinicians or assessments (Minick et al., 2010, Smith et al., 2013). Interestingly, the reliability of the FMS™ has been reported in several recent studies (Gribble et al., 2013, Gulgin and Hoogenboom, 2014, Onate et al., 2012, Parenteau-G et al., 2014, Shultz et al., 2013, Smith et al., 2013, Teyhen et al., 2012). These studies have utilized differing methods of evaluating such as real-time and video-taped scoring, utilized raters with varying levels of clinical and FMS™ experience, and assessed both interrater and intrarater reliability. In addition, these studies have utilized various physically active populations such as active-duty service members (Teyhen et al., 2012), physically active adults (Minick et al., 2010, Onate et al., 2012, Smith et al., 2013), athletes (Loudon et al., 2014, Shultz et al., 2013), and adolescent athletes or physically active children (Butler, 2012, Parenteau-G et al., 2014). However, to date there has been no synthesis with meta-analysis of the evidence regarding the reliability of the FMS™ to make a definitive statement regarding the clinical applicability of the use of this screening tool in practice. If this screening tool is reliable within and between raters, clinicians can be confident in their assessments and begin to utilize interventions to improve difficult or painful tasks for their athletes and patients. Furthermore, clinicians can assess the effectiveness of their interventions through re-evaluation of the patient's ability to complete the tasks, looking for improved scores from the initial assessment. Therefore, the purpose of this systematic review with meta-analysis was to synthesize and critically appraise the published evidence describing the interrater and intrarater reliability of the FMS™ and to calculate a pooled reliability coefficient using meta-analysis for both interrater and intrarater reliability.
Section snippets
Search strategy
A computerized search of Academic Search Complete, CINHAL Plus with full text, Medline and SportsDiscus with full text databases from their inception to March 17, 2015 was performed (Table 1). Two authors (JWC and JMH) independently reviewed the titles and abstracts of all articles obtained after the search and screened the articles for inclusion based on the criteria listed below. The full text of the manuscript was screened if additional information for study selection was needed. A hand
Literature search
A flow diagram depicting the systematic search and review process for inclusion can be found in Fig. 1 and the search summary can be found in Table 1. Of the initial 110 articles retrieved, seven (Gribble et al., 2013, Gulgin and Hoogenboom, 2014, Onate et al., 2012, Parenteau-G et al., 2014, Shultz et al., 2013, Smith et al., 2013, Teyhen et al., 2012) articles were identified to have met all of the inclusion and exclusion criteria and were included. All seven articles were identified through
Interrater reliability
The results of the interrater reliability analysis revealed an overall moderate level of evidence that there is good (summary ICC = 0.843, 95% CI = 0.640, 0.936) interrater reliability when scoring the FMS™. It must be pointed out that the 95% CI of the summary ICC does cross into the moderate interpretation. However, following the 1-study removed method the summary ICC values do not drop below the good interpretation, and the lowest lower bound 95% CI also did not drop into the fair
Conclusion
The results of this systematic review with meta-analysis revealed there is moderate evidence that the interrater reliability of the FMS™ is good and that there is moderate evidence the intrarater reliability of the FMS™ is good. To understand these clinometric properties of the FMS™ is important when implementing this assessment into clinical practice. The results of this review demonstrate that clinicians can be confident in their FMS composite scores, and should they have patients or clients
Conflict of interest
None declared.
Funding
None declared.
References (27)
- et al.
The development of a quality appraisal tool for studies of diagnostic reliability (QAREL)
Journal of Clinical Epidemiology
(2010) - et al.
Reliability of physical examination tests used in the assessment of patients with shoulder problems: a systematic review
Physiotheraphy Theory and Practice
(2010) - et al.
Reliability of procedures used in the physical examination of non-specific low back pain: a systematic review
Australian Journal of Physiotherapy
(2006) - et al.
The reliability of the functional independence measure: a quantitative review
Archives of Physical Medicine and Rehabilitation
(1996) - et al.
Functional movement screen test: a reliable screening test for young elite ice hockey players
Physical Therapy in Sport
(2014) - et al.
Introduction to meta-analysis
(2009) - et al.
Psychometric inferences from a meta-analysis of reliability and internal consistency coefficients
Psychological Methods
(2010) Interrater reliability of videotaped performance on the functional movement screen using the 100-point scoring scale
Athletic Training and Sports Health Care
(2012)- et al.
Use of a functional movement screening tool to determine injury risk in female collegiate athletes
North American Journal of Sports Physical Therapy
(2000) - et al.
Pre-participation screening: the use of fundamental movements as an assessment of function – part 1
North American Journal of Sports Physical Theraphy
(2006)
Pre-participation screening: the use of fundamental movements as an assessment of function – part 2
North American Journal of Sports Physical Therapy
Functional movement screening: the use of fundamental movements as an assessment of function – part 2
International Journal of Sports Physical Therapy
A nine-test screening battery for athletes: a reliability study
Scandinavian Journal of Medicine & Science in Sports
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