Literature DB >> 29730631

Effectiveness of extrinsic feedback for management of non-specific low back pain: a systematic review protocol.

Daniel Cury Ribeiro1, Aleksandra Katarzyna Mącznik1, Stephan Milosavljevic2, J Haxby Abbott3.   

Abstract

INTRODUCTION: Low back pain is the greatest cause of years lived with disability worldwide and is linked with high societal and economic burden. Neuromuscular control impairments are a common clinical presentation in patients with non-specific low back pain. Musculoskeletal physiotherapists commonly use feedback as a part of the management of low back disorders. This systematic review will aim to assess the effectiveness of extrinsic biofeedback for reducing pain, disability and recurrence of pain in patients with non-specific low back pain. METHODS AND ANALYSIS: Systematic searches will be performed in CINAHL, Embase, Medline, PsycInfo, Scopus and Web of Science. We will include randomised controlled trial studies, if the study recruited patients with non-specific low back pain; compared extrinsic feedback versus either placebo or control; another intervention; or in addition to an intervention versus that intervention alone; and have used pain, disability scores or low back pain recurrence as outcome measures. We will exclude studies with designs other than randomised controlled trials. We will assess the risk of bias within included studies using the PEDro scale, and the strength of evidence using the Grades of Recommendation, Assessment, Development and Evaluation approach. ETHICS AND DISSEMINATION: Ethical approval and patient consent are not required since this is a systematic review based on published studies. The results of this study will be published in an international peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42017077888. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  feedback; low back pain; musculoskeletal disorders; protocol; rehabilitation medicine; systematic review

Mesh:

Year:  2018        PMID: 29730631      PMCID: PMC5942401          DOI: 10.1136/bmjopen-2017-021259

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Comprehensive and exhaustive search for relevant studies from several databases. This review is limited to evidence from randomised controlled trials. No language restrictions will be imposed. The number of articles identified and included in this review may prevent us from conducting meta-analysis which might limit the conclusions that can be drawn from our findings.

Introduction

Low back pain (LBP) is the most common musculoskeletal disorder, and the leading cause of years lived with disability.1 2 The accepted clinical subcategory of non-specific LBP is a multifactorial disorder and defined as ‘pain and discomfort, localised below the costal margin and above the inferior gluteal folds, with or without referred leg pain’.3 The 1-month prevalence of LBP is 23.2%.2 Patients with non-specific LBP commonly present with slow recovery and may not fully recover within 12 months since first episode of LBP.4 Non-specific LBP is influenced by biological, psychological and social factors.5 These three factors interact and impact on symptoms onset, recovery and clinical outcomes of patients with LBP.6 Biological factors include impaired motor control,7 delayed muscle activity of lumbopelvic muscles8 and reduced postural strategies for maintaining balance.9 Psychological factors (eg, fear avoidance, negative beliefs and depressive symptoms) may hinder recovery10 and may be associated with higher pain levels.11 Social factors such as family environment, socioeconomic and educational status and religion may modulate pain reported by patients with LBP.12 Management of non-specific LBP commonly focuses on education, pain control13 and exercise therapy targeting neuromuscular impairments.14 When targeting neuromuscular impairments, musculoskeletal physiotherapists may use extrinsic feedback to help patients improve movement control and awareness of lumbopelvic muscles.15 Extrinsic feedback can be defined as any form of information provided to the patient that originates from an external source (eg, mirror, pressure biofeedback, tactile or verbal input by the clinician).16 17 The way extrinsic feedback is provided to patients can hinder or improve motor control.18 Our previous review assessed how extrinsic feedback was provided to patients in trials and found that the majority of the studies did not adopt ideal forms of feedback provision.17 There are different ways of providing extrinsic feedback, and these can be grouped into two categories in relation to their content and timing characteristics.16 17 19 Content characteristics refer to the focus of the intervention.18 20 For example, how feedback is presented to patient (eg, absolute scores, average scores, general feedback about how movement is being and how it should be performed).18 20 Timing characteristics refer to when the feedback is provided to patients (eg, simultaneously to exercise execution, after the exercise has been executed, or provided when the patient requests this information).18 20 21 According to previous research on ‘motor control and learning’, there are some content and timing characteristics that will enhance/optimise motor control.18 20 21 We present a description for content and timing characteristics of extrinsic feedback in table 1.
Table 1

Description of content and timing characteristics for extrinsic feedback provision

Extrinsic feedbackDescriptionIdeal/not ideal18 20 21
Content characteristics
 Programme feedbackFeedback about general pattern of movement being executed.Ideal
 Parameter feedbackFeedback about specific components (eg, one element of the whole movement) of movement being executed.Not ideal
 Average feedbackMean score (based on error or performance score) calculated after a number of attempts/trials are executed.Ideal
 Summary feedbackQualitative feedback is provided after a number of attempts/trials are executed.Ideal
 Bandwidth (error magnitude)The amount of movement error that adopted a priori, and used to provide feedback to patient. The bandwidth is used to distinguish between successful and unsuccessful trials.Ideal
 Internal focus of attentionFeedback focused on body movement characteristics (eg, joint angle).Not ideal
 External focus of attentionFeedback focused on the effect of the movement.Ideal
Timing characteristics
 Concurrent feedbackFeedback provided to patient at the same time that the movement is being executed.Not ideal
 Terminal feedbackFeedback provided to patient after the movement was executed.Not ideal
  ImmediateFeedback provided to patient immediately after the movement was executed.Not ideal
  DelayedFeedback provided to patient after a period (eg, seconds or minutes) of the movement was executed.Ideal
Frequency
  ConstantFeedback provided at every trial.Not ideal
  ReducedFeedback provided for a fraction of trials (eg, 40% of trials).Ideal
 Self-controlledFeedback provided only when patient requests it.Ideal
Description of content and timing characteristics for extrinsic feedback provision A recent review reported that extrinsic feedback combined with physiotherapy compared with physiotherapy intervention alone was superior for pain reduction, but was no different to physiotherapy intervention alone for disability levels in patients with neck pain.19 Currently, the effectiveness of extrinsic feedback for the management of patients with non-specific LBP is unknown. The aim of the proposed systematic review is to assess the effectiveness of extrinsic biofeedback for reducing pain, disability and recurrence of pain in patients with non-specific LBP.

Methods

Patient and public involvement

Patients and/or public were not involved in the development of this research project.

Design

This study will be a systematic review with meta-analysis, if data allow, and will be based on the Preferred Reporting items for systematic Reviews and Meta-Analyses Protocols checklist.22

Types of studies

We will include randomised controlled trials, and exclude narrative reviews, systematic reviews, non-randomised clinical trials, cross-sectional studies and observational studies. We will not impose language restrictions.

Types of participants

Studies must have recruited symptomatic individuals with non-specific LBP (acute, subacute or chronic), aged between 18 and 65 years. We will exclude studies involving patients with specific or systematic diseases (eg, tumours, cauda equina syndrome, fracture, inflammatory arthropathy).

Types of interventions

Any interventions that include the use of any form of extrinsic biofeedback (eg, verbal, tactile, pressure biofeedback, electromyography feedback, body positional biofeedback or other types of feedback) will be included in this review. We will exclude studies focusing on behavioural feedback or ergonomic training. Studies must include at least one of the following comparators: Extrinsic feedback versus placebo or control. Extrinsic feedback versus another form of intervention. Extrinsic feedback+intervention versus intervention alone.

Types of outcome measures

We will consider the following primary outcome measures: (1) pain must be measured with Visual Analogue Scale, Numeric Pain Scale or any other validated instrument; (2) disability levels must be measured with validated instruments (eg, Oswestry, Quebec Back Pain Disability Scale, the Roland-Morris Disability Questionnaire); (3) recurrence of LBP (as reported by patients or assessed by a clinical researcher). We will consider motor performance tests as secondary outcomes. Motor performance must be assessed using a form of biofeedback or electromyography pre-intervention and postintervention.

Searches

Systematic searches will be performed in the following databases from the inception: CINAHL, Embase, Medline, PsycInfo, Scopus and Web of Science. Search strategy is presented in table 2. This search strategy was developed in consultation with a health sciences librarian, tested and used for a review previously conducted by our research team.17
Table 2

Search strategy

DatabaseSearch strategy
CINAHL1 Low back pain
2 Feedback OR Biofeedback OR Extrinsic feedback
1 AND 2
Embase (keyword)1 Low back pain OR backache
2 Feedback system
1 AND 2
Medline (Ovid)1 Low back pain
2 Feedback OR Feedback, Sensory OR Biofeedback, Psychology
1 AND 2
PsycInfo (Ovid)1 Back pain
2 Biofeedback training OR biofeedback OR feedback
1 AND 2
Scopus1 Back pain
2 Biofeedback OR feedback
1 AND 2
Web of Science1 Back pain
2 Biofeedback OR feedback
1 AND 2
Search strategy After the exclusion of duplicates, two independent reviewers will conduct title, abstract and full-text screening against inclusion criteria. If any disagreement persists, a third reviewer will adjudicate. The reference lists of included studies will be screened for additional relevant studies.

Data extraction and management

Data will be extracted by two reviewers independently and compared. If any disagreements persist and cannot be resolved by consensus, a third reviewer will be consulted. We will extract the following data: authors, year of publication, country of origin, study design, study purpose, experimental and comparison interventions and their characteristics, number of participants in each group and their characteristics, frequency of the interventions (if applicable), follow-up intervals (if applicable), drop-out rates, outcomes measures, main findings and authors’ conflict of interest.

Risk of bias within included studies and quality of evidence assessment

The risk of bias within included studies will be assessed using the PEDro scale. Reporting of the following aspects will be assessed: eligibility criteria, random allocation, concealed allocation, similarity between groups at baseline, blinding of subjects, therapists and assessors, attrition rate <15%, analysis by intention to treat, between-group comparison, and both point estimate and variability measures.

Data synthesis and analysis

If possible, we will use RevMan statistical software V.5.3 (The Nordic Cochrane Centre) for conducting the meta-analysis using a random-effects model. For the purpose of this review, outcome measures will be categorised into the following based on time points of assessment: immediate (within 2 weeks of the intervention delivery), short-term (2–13 weeks after intervention delivery), medium-term (14–50 weeks after intervention delivery) and long-term effects (51 or more weeks after intervention delivery). For continuous data, we will calculate the mean difference (MD), and 95% confidence intervals (CI) if outcome measure scales are the same. In the case of different outcome measure scales, we will calculate the standardized mean difference (SMD) and 95% CI. For the purpose of this review, the effect size will be categorised as: small=SMD ranging from 0 to 0.2; medium=SMD ranging from >0.2 to <0.5; and large=SMD ranging from >0.5 to 0.8.23 24 We will assess heterogeneity using I2 statistics25 26 and will consider heterogeneity to be substantial if I2 ranges from 50% to 90%.27 Sensitivity analyses will be conducted by the quality of studies and by the length of follow-up. If possible, we will conduct subgroup analysis based on the type of the disorder (ie, acute, subacute or chronic non-specific LBP). The strength of evidence will be assessed using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach.28 The GRADE approach uses four quality levels: high, moderate, low and very low. The strength of evidence will be downgraded by one level according to the following criteria: (1) limitations in the design and implementation of available studies suggesting risk of bias, (2) indirectness of evidence, (3) unexplained heterogeneity or inconsistency, (4) imprecision of results and (5) high probability of publication bias. If meta-analysis is not possible, we will present a narrative synthesis of the findings. In this case, quantitative findings for each study will be descriptively reported and summarised.

Ethics and dissemination

This systematic review has been prospectively registered at the PROSPERO (CRD42017077888). The results of this review will be published in an international peer-reviewed journal.
  23 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Experimental muscle pain changes feedforward postural responses of the trunk muscles.

Authors:  Paul W Hodges; G Lorimer Moseley; Anna Gabrielsson; Simon C Gandevia
Journal:  Exp Brain Res       Date:  2003-06-03       Impact factor: 1.972

3.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

Authors:  Gordon H Guyatt; Andrew D Oxman; Gunn E Vist; Regina Kunz; Yngve Falck-Ytter; Pablo Alonso-Coello; Holger J Schünemann
Journal:  BMJ       Date:  2008-04-26

4.  Postural control in individuals with and without non-specific chronic low back pain: a preliminary case-control study.

Authors:  Rene Rogieri Caffaro; Fábio Jorge Renovato França; Thomaz Nogueira Burke; Maurício Oliveira Magalhães; Luiz Armando Vidal Ramos; Amélia Pasqual Marques
Journal:  Eur Spine J       Date:  2014-02-26       Impact factor: 3.134

Review 5.  Non-specific low back pain.

Authors:  Chris Maher; Martin Underwood; Rachelle Buchbinder
Journal:  Lancet       Date:  2016-10-11       Impact factor: 79.321

Review 6.  Extrinsic feedback for motor learning after stroke: what is the evidence?

Authors:  Paulette M van Vliet; Gabriele Wulf
Journal:  Disabil Rehabil       Date:  2006 Jul 15-30       Impact factor: 3.033

7.  Unraveling the Complexity of Low Back Pain.

Authors:  Peter O'Sullivan; Joao Paulo Caneiro; Mary O'Keeffe; Kieran O'Sullivan
Journal:  J Orthop Sports Phys Ther       Date:  2016-11       Impact factor: 4.751

8.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.

Authors:  David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  Syst Rev       Date:  2015-01-01

9.  Prognosis in patients with recent onset low back pain in Australian primary care: inception cohort study.

Authors:  Nicholas Henschke; Christopher G Maher; Kathryn M Refshauge; Robert D Herbert; Robert G Cumming; Jane Bleasel; John York; Anurina Das; James H McAuley
Journal:  BMJ       Date:  2008-07-07

10.  Negative beliefs about low back pain are associated with high pain intensity and high level disability in community-based women.

Authors:  Donna M Urquhart; Robin J Bell; Flavia M Cicuttini; Jisheng Cui; Andrew Forbes; Susan R Davis
Journal:  BMC Musculoskelet Disord       Date:  2008-11-04       Impact factor: 2.362

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