Literature DB >> 24253786

McKenzie lumbar classification: inter-rater agreement by physical therapists with different levels of formal McKenzie postgraduate training.

Mark W Werneke1, Daniel Deutscher, Dennis L Hart, Paul Stratford, Joel Ladin, Jon Weinberg, Scott Herbowy, Linda Resnik.   

Abstract

STUDY
DESIGN: Inter-rater chance-corrected agreement study.
OBJECTIVE: The aim was to examine the association between therapists' level of formal precredential McKenzie postgraduate training and agreement on the following McKenzie classification variables for patients with low back pain: main McKenzie syndromes, presence of lateral shift, derangement reducibility, directional preference, and centralization. SUMMARY OF BACKGROUND DATA: Minimal level of McKenzie postgraduate training needed to achieve acceptable agreement of McKenzie classification system is unknown.
METHODS: Raters (N = 47) completed multiple sets of 2 independent successive examinations at 3 different stages of McKenzie postgraduate training (levels parts A and B, part C, and part D). Agreement was assessed with κ coefficients and associated 95% confidence intervals. A minimum κ threshold of 0.60 was used as a predetermined criterion for level of agreement acceptable for clinical use.
RESULTS: Raters examined 1662 patients (mean age = 51 ± 15; range, 18-91; females, 57%). Data distributions were not even and were highly skewed for all classification variables. No training level studied had acceptable agreement for any McKenzie classification variable. Agreements for all levels of McKenzie postgraduate training were higher than expected by chance for most of the classification variables except parts A and B training level for judging lateral shift and centralization and part D training level for judging reducibility. Agreement between training levels parts A and B, part C, and part D were similar with overlapping 95% confidence intervals.
CONCLUSION: Results indicate that level of inter-rater chance-corrected agreement of McKenzie classification system was not acceptable for therapists at any level of formal McKenzie postgraduate training. This finding raises concerns about the clinical utility of the McKenzie classification system at these training levels. Additional studies are needed to assess agreement levels for therapists who receive additional training or experience at the McKenzie credentialed or diploma levels. LEVEL OF EVIDENCE: 2.

Entities:  

Mesh:

Year:  2014        PMID: 24253786     DOI: 10.1097/BRS.0000000000000117

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  8 in total

1.  Predictors of clinical outcome following lumbar disc surgery: the value of historical, physical examination, and muscle function variables.

Authors:  Jeffrey J Hebert; Julie M Fritz; Shane L Koppenhaver; Anne Thackeray; Per Kjaer
Journal:  Eur Spine J       Date:  2015-04-04       Impact factor: 3.134

Review 2.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

3.  Lumbar lateral shift in a patient with interspinous device implantation: a case report.

Authors:  Seth Peterson; Cheri Hodges
Journal:  J Man Manip Ther       Date:  2016-09

4.  Inter-rater reliability of a modified version of Delitto et al.'s classification-based system for low back pain: a pilot study.

Authors:  Adri T Apeldoorn; Hans van Helvoirt; Raymond W Ostelo; Hanneke Meihuizen; Steven J Kamper; Maurits W van Tulder; Henrica C W de Vet
Journal:  J Man Manip Ther       Date:  2016-05

5.  Inter-rater reliability of the McKenzie System of Mechanical Diagnosis and Therapy in the examination of the knee.

Authors:  Sean Willis; Richard Rosedale; Ravi Rastogi; Shawn M Robbins
Journal:  J Man Manip Ther       Date:  2016-09-07

Review 6.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

7.  Directional preference of the wrist: a preliminary investigation.

Authors:  Joseph R Maccio; Lindsay Carlton; Sarah Fink; Chanel Ninan; Chandree Van Vranken; Garret Biese; Colin McGowan; Joseph G Maccio; Julia Tranquillo
Journal:  J Man Manip Ther       Date:  2017-02-09

Review 8.  Classification of patients with low back-related leg pain: a systematic review.

Authors:  Siobhán Stynes; Kika Konstantinou; Kate M Dunn
Journal:  BMC Musculoskelet Disord       Date:  2016-05-23       Impact factor: 2.362

  8 in total

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