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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_15 | Pages 41 - 41
7 Aug 2024
Pavlova A Cooper K Deane J Hart-Winks E Hemming R Johnson K
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Purpose and background

Nearly 70% of UK physiotherapists experience work-related musculoskeletal disorders (WRMSDs) during their career, with a significant proportion occurring in the back and being attributed to patient handling tasks. Evidence suggests that manual handling training alone is ineffective and interventions among nurses indicate that a tailored approach, including targeted exercise (TE), can reduce WRMSD rates. This study aimed to explore physiotherapists’ perspectives of WRMSDs, patient handling, and the role of TE in reducing WRMSDs among physiotherapists.

Methods and Results

Key informant interviews were conducted with 4 physiotherapy operational leads and 1 manual handling trainer from NHS Grampian. Interviews were transcribed and Framework Analysis was utilised to identify key themes, including challenges, barriers, and facilitators. Following this, two online focus groups were conducted with 7 qualified NHS physiotherapists across the UK. Views of manual handling training varied across specialities, with some finding it comprehensive and adaptable, and others finding it less applicable to patients in their speciality or community setting. Physiotherapist views on fitness for work varied, with some highlighting the necessity of TE to ensure workforce health whilst others considered exercise to be a personal matter. Facilitators to implementation identified by participants were having support from management and a strong justification for the exercise content. Varied work schedules and facilities were identified as barriers to implementation of a work-based TE intervention.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_9 | Pages 10 - 10
1 Sep 2019
Deane J Lim A Strutton P McGregor A
Full Access

Introduction

Patients with recurrent low back pain (LBP) exhibit changes in postural control. Stereotypical muscle activations resulting from external perturbations include anticipatory (APAs) and compensatory (CPAs) postural adjustments. This study aimed to determine differences in postural control strategies (APAs and CPAs) between those with and without lumbar disc degeneration (LDD) and LBP.

Methods

Ninety-seven subjects participated in the study (mean age 50 years (SD 12)). 3T MRI was used to acquire T2 weighted images (L1-S1). LDD was determined using Pfirrmann grading and LBP using the numerical rating scale (NRS). A bespoke perturbation platform was designed to deliver postural perturbations. Electrical activity was analysed from 16 trunk and lower limb muscles during four typical APA and CPA epochs. A Kruskal-Wallis H test with Bonferroni correction for multiple comparisons was conducted.


Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_10 | Pages 18 - 18
1 May 2017
Deane J Papi E Phillips A McGregor A
Full Access

Introduction

Low back pain (LBP) is the top leading global cause of years lived with disability. In order to examine LBP, researchers have typically viewed the spine in isolation. Clinically, it is imperative that the lower limbs are also considered. The aim of this study was to design a holistic and reliable multi-segmental kinematic model of the spine and lower limbs.

Method

The spine was modelled according to easily identifiable anatomical landmarks, including upper thoracic (T1-T6), lower thoracic (T7-T12) and lumbar (L1-L5) segments. Pelvis, thigh, shank and foot segments were included. A 10-camera 3D motion capture system was used to track retro-reflective markers, which were used to define each segment of 10 healthy participants as they walked 3 times at a comfortable speed over a 6km walkway. The relative peak angles between each segment were calculated using the Joint Coordinate System convention and Intraclass Correlation Coefficients (ICCs) were used to determine intra-rater and inter-rater reliability (between an experienced clinician and biomechanical scientist).


Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_10 | Pages 19 - 19
1 May 2017
Deane J Joyce L Wang C Wiles C Lim A Strutton P McGregor A
Full Access

Introduction

The usefulness of markers of non-specific low back pain (NSLBP), including MRI derived measurements of cross-sectional area (CSA) and functional CSA (FCSA, fat free muscle area) of the lumbar musculature, is in doubt. To our knowledge, such markers remain unexplored in Lumbar Disc Degeneration (LDD), which is significantly associated with NSLBP, Modic change and symptom recurrence. This exploratory 3.0-T MRI study addresses this shortfall by comparing asymmetry and composition in asymptomatic older adults with and without Modic change.

Methods

A sample of 21 healthy, asymptomatic subjects participated (mean age 56.9 years). T2-weighted axial lumbar images were obtained (L3/L4 to L5/S1), with slices oriented through the centre of each disc. Scans were examined by a Consultant MRI specialist and divided into 2 groups dependent on Modic presence (M) or absence (NM). Bilateral measurements of the CSA and FCSA of the erector spinae, multifidus, psoas major and quadratus lumborum were made using Image-J software. Muscle composition was determined using the equation [(FCSA/CSA)*100] and asymmetry using the equation [(Largest FCSA-smallest FCSA)/largest FCSA*100]. Data were analysed using Mann-Whitney U tests (p value set at). Intrarater reliability was examined using Intraclass Correlations (ICCs).


Orthopaedic Proceedings
Vol. 98-B, Issue SUPP_6 | Pages 32 - 32
1 Feb 2016
Deane J McGregor A
Full Access

Purpose and Background:

Clinical interpretations of Degenerative Lumbar Disc Disease are not described in the literature. The purpose of this study was to establish a consensus of expert clinical opinion in order to fuel further research.

Methods:

A reliable and valid electronic survey was designed to include theoretical constructs relating to training and education, general knowledge, assessment and management practices. Clinicians from the Society of Back Pain Research U.K. were invited to take part. Quantitative data was collated and coded using Bristol on-line survey software, and content analysis was used to systematically code and categorize qualitative data.