Abstract
Purposes of the study and background
Clinical assessment of spinal function is a routine part of low back pain (LBP) assessment, yet there is no clear consensus on what constitutes ‘spinal dysfunction’ and how this informs treatment. This study's aims to develop a spinal function classification framework by gaining expert academic and clinical consensus on (i) spinal function assessment tests (ii) encountered LBP motor control/movement impairment (MCI/MI) sub-types (iii) their characteristics and (iii) exercises and feedback for each sub-type.
Methods and Results
An online 2-round Delphi-survey of 4 world-leading academic experts and 36 clinical physiotherapists world-wide was employed. A five-point response scale was used to rate level of agreement on 174 items with a priori consensus defined by a ≠>80% level of agreement (LOA). Out of 15 spinal function assessment tests, 5 reached consensus with forward bend and sitting/standing tests highest scoring. 7 MCI/MI sub-types reached consensus as clinically encountered. 12 out of 128 of posture/movement descriptors within the 7 sub-types reached consensus. 7 exercises gained consensus in being considered as ‘important’ or ‘very important’ with exercises involving sitting, standing, forward bend scoring highest. Consensus was reached on MCI/MI sub-type specific exercises, compensation strategies and feedback to remedy these compensations.
Conclusion
Academic and clinical expert consensus derived list of movement/posture descriptors, assessment tests and exercises considered clinically important provides a first to date, spinal function assessment classification framework for non-specific LBP. This offers a conceptual model for developing technologies (e.g. wearable sensors) to harness clinically useful information relating to spinal function, exercise performance and feedback for effective implementation of exercise therapies for non-specific LBP.
No conflicts of interest
Sources of Funding: Health and Care Research Wales, RCBC Postdoctoral Research Fellowship
