Classification characteristics of a chronic low back pain population using a combined McKenzie and patho-anatomical assessment

Carol Flavell, Susan Gordon, Laurence Marshman

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    Background Physiotherapists use musculo-skeletal classification systems for patient assessment. Since its early development, the McKenzie lumbar spine assessment (MK) has been incorporated into examination algorithms and combined with a series of patho-anatomical diagnostic tests. No previous studies have used a MK and a combined examination (MK-C) to provide a detailed profile of patients, report and compare the classification characteristics of a chronic low back pain (CLBP) population. Objective To report the classification characteristics of a CLBP population using MK and MK-C examinations, and conduct inter-classification comparison of the MK-C for demographics, the Oswestry Disability Index (ODI), Roland Morris Disability Index (RM), Modified Somatic Perceptions Questionnaire (MSPQ), symptom duration and intensity. Method A prospective cross-sectional study conducted in a spinal clinic by a MK trained physiotherapist. Results Results were obtained in 150 patients. Using MK, 31% (n = 47) of participants were classified as inconclusive. Following MK-C only 6% of participants remained inconclusive (n = 9). The most frequent MK-C classification was facet joint syndrome (FJS) (49%). Participants with FJS were significantly older than those classified as discogenic (p < 0.001; CI 3.96 ̶ 19.74), or mixed (p < 0.001; CI 5.98 ̶ 36.41). Participants classified as discogenic had significantly higher RM (p = 0.022) and MSPQ (p = 0.005) scores than FJS. Conclusion Results indicated that 94% of CLBP patients could be classified using a MK-C. The most common presentation in CLBP was facet joint syndrome. Age, RM and MSPQ appeared to be distinguishing characteristics of this population. Future studies should be conducted to establish the validity and reliability of the MK-C.

    Original languageEnglish
    Pages (from-to)201-207
    Number of pages7
    JournalMANUAL THERAPY
    Volume26
    DOIs
    Publication statusPublished - 1 Dec 2016

    Keywords

    • Characteristics
    • Classification
    • Diagnosis
    • Low back pain
    • Physical therapy

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