Internet-delivered attentional bias modification training (iABMT) for the management of chronic musculoskeletal pain: a protocol for a randomised controlled trial

Christina Liossi, Tsampikos Georgallis, Jin Zhang, Fiona Hamilton, Paul White, Daniel Eric Schoth, Christina Liossi, Tsampikos Georgallis, Jin Zhang, Fiona Hamilton, Paul White, Daniel Eric Schoth

Abstract

Introduction: Chronic musculoskeletal pain is a complex medical condition that can significantly impact quality of life. Patients with chronic pain demonstrate attentional biases towards pain-related information. The therapeutic benefits of modifying attentional biases by implicitly training attention away from pain-related information towards neutral information have been supported in a small number of published studies. Limited research however has explored the efficacy of modifying pain-related biases via the internet. This protocol describes a randomised, double-blind, internet-delivered attentional bias modification intervention, aimed to evaluate the efficacy of the intervention on reducing pain interference. Secondary outcomes are pain intensity, state and trait anxiety, depression, pain-related fear, and sleep impairment. This study will also explore the effects of training intensity on these outcomes, along with participants' perceptions about the therapy.

Methods and analysis: The study is a double-blind, randomised controlled trial with four arms exploring the efficacy of online attentional bias modification training versus placebo training theorised to offer no specific therapeutic benefit. Participants with chronic musculoskeletal pain will be randomised to one of four groups: (1) 10-session attentional modification group; (2) 10-session placebo training group; (3) 18-session attentional modification group; or (4) 18-session placebo training group. In the attentional modification groups, the probe-classification version of the visual-probe task will be used to implicitly train attention away from threatening information towards neutral information. Following the intervention, participants will complete a short interview exploring their perceptions about the online training. In addition, a subgroup analysis for participants aged 16-24 and 25-60 will be undertaken.

Ethics and dissemination: This study has been approved by the University of Southampton Research Ethics Committee. Results will be published in peer-reviewed journals, academic conferences, and in lay reports for pain charities and patient support groups.

Trial registration number: NCT02232100; Pre-results.

Keywords: attention bias modification; chronic pain; internet-delivered therapy; musculoskeletal pain; randomised-controlled trial; visual-probe task.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Figures

Figure 1
Figure 1
A graphical representation of a typical visual-probe task training trial with linguistic stimuli.
Figure 2
Figure 2
Flow of the visual-probe task sessions for the 10-week and 18-week groups in the study. AMG, attentional modification group; PTG, placebo training group.
Figure 3
Figure 3
Examples of LifeGuide web pages included in the internet-delivered attentional bias modification training intervention.

References

    1. Sambrook P, Taylor T, Schrieber L, et al. . The musculoskeletal system: basic science and clinical conditions. 2nd edn Churchill Livingstone, Elsevier, 2010.
    1. Cimmino MA, Ferrone C, Cutolo M. Epidemiology of chronic musculoskeletal pain. Best Pract Res Clin Rheumatol 2011;25:173–83. 10.1016/j.berh.2010.01.012
    1. King S, Chambers CT, Huguet A, et al. . The epidemiology of chronic pain in children and adolescents revisited: a systematic review. Pain 2011;152:2729–38. 10.1016/j.pain.2011.07.016
    1. Tüzün EH. Quality of life in chronic musculoskeletal pain. Best Pract Res Clin Rheumatol 2007;21:567–79. 10.1016/j.berh.2007.03.001
    1. Breivik H, Collett B, Ventafridda V, et al. . Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain 2006;10:287–333. 10.1016/j.ejpain.2005.06.009
    1. Bair MJ, Wu J, Damush TM, et al. . Association of depression and anxiety alone and in combination with chronic musculoskeletal pain in primary care patients. Psychosom Med 2008;70:890–7. 10.1097/PSY.0b013e318185c510
    1. Blyth FM, Noguchi N. Chronic musculoskeletal pain and its impact on older people. Best Pract Res Clin Rheumatol 2017;31:160–8. 10.1016/j.berh.2017.10.004
    1. Harrison L, Wilson S, Munafò MR. Exploring the associations between sleep problems and chronic musculoskeletal pain in adolescents: a prospective cohort study. Pain Res Manag 2014;19:e139–45. 10.1155/2014/615203
    1. Flatø B, Aasland A, Vandvik IH, et al. . Outcome and predictive factors in children with chronic idiopathic musculoskeletal pain. Clin Exp Rheumatol 1997;15:569–77.
    1. Gold JI, Mahrer NE, Yee J, et al. . Pain, fatigue, and health-related quality of life in children and adolescents with chronic pain. Clin J Pain 2009;25:407–12. 10.1097/AJP.0b013e318192bfb1
    1. Vinall J, Pavlova M, Asmundson G, et al. . Mental health comorbidities in pediatric chronic pain: a narrative review of epidemiology, models, neurobiological mechanisms and treatment. Children 2016;3:40 10.3390/children3040040
    1. Pincus T, Morley S. Cognitive-processing bias in chronic pain: a review and integration. Psychol Bull 2001;127:599–617. 10.1037/0033-2909.127.5.599
    1. Todd J, Sharpe L, Johnson A, et al. . Towards a new model of attentional biases in the development, maintenance, and management of pain. Pain 2015;156:1589–600. 10.1097/j.pain.0000000000000214
    1. Vlaeyen JWS, Linton SJ. Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain 2000;85:317–32. 10.1016/S0304-3959(99)00242-0
    1. Liossi C, Schoth DE, Bradley BP, et al. . Time-Course of attentional bias for pain-related cues in chronic daily headache sufferers. Eur J Pain 2009;13:963–9. 10.1016/j.ejpain.2008.11.007
    1. Haggman SP, Sharpe LA, Nicholas MK, et al. . Attentional biases toward sensory pain words in acute and chronic pain patients. J Pain 2010;11:1136–45. 10.1016/j.jpain.2010.02.017
    1. Sharpe L, Dear BF, Schrieber L. Attentional biases in chronic pain associated with rheumatoid arthritis: hypervigilance or difficulties disengaging? J Pain 2009;10:329–35. 10.1016/j.jpain.2008.10.005
    1. Schoth DE, Beaney R, Broadbent P, et al. . Attentional, interpretation and memory biases for sensory-pain words in individuals with chronic headache. Br J Pain 2019;13:22–31. 10.1177/2049463718789445
    1. Schoth DE, Liossi C. Specificity and time-course of attentional bias in chronic headache: a visual-probe investigation. Clin J Pain 2013;29:583–90. 10.1097/AJP.0b013e31826b4849
    1. Schoth DE, Liossi C. Attentional bias toward pictorial representations of pain in individuals with chronic headache. Clin J Pain 2010;26:244–50. 10.1097/AJP.0b013e3181bed0f9
    1. Schoth DE, Nunes VD, Liossi C. Attentional bias towards pain-related information in chronic pain; a meta-analysis of visual-probe investigations. Clin Psychol Rev 2012;32:13–25. 10.1016/j.cpr.2011.09.004
    1. Todd J, van Ryckeghem DML, Sharpe L, et al. . Attentional bias to pain-related information: a meta-analysis of dot-probe studies. Health Psychol Rev 2018;12:419–36. 10.1080/17437199.2018.1521729
    1. Crombez G, Van Ryckeghem DML, Eccleston C, et al. . Attentional bias to pain-related information: a meta-analysis. Pain 2013;154:497–510. 10.1016/j.pain.2012.11.013
    1. MacLeod C, Mathews A, Tata P. Attentional bias in emotional disorders. J Abnorm Psychol 1986;95:15–20. 10.1037/0021-843X.95.1.15
    1. Carleton RN, Richter AA, Asmundson GJG. Attention modification in persons with fibromyalgia: a double blind, randomized clinical trial. Cogn Behav Ther 2011;40:279–90. 10.1080/16506073.2011.616218
    1. Sharpe L, Ianiello M, Dear BF, et al. . Is there a potential role for attention bias modification in pain patients? results of 2 randomised, controlled trials. Pain 2012;153:722–31. 10.1016/j.pain.2011.12.014
    1. Schoth DE, Georgallis T, Liossi C. Attentional bias modification in people with chronic pain: a proof of concept study. Cogn Behav Ther 2013;42:233–43. 10.1080/16506073.2013.777105
    1. Curriculum for a CCT in anaesthetics (2010). secondary curriculum for a CCT in anaesthetics, 2010. Available:
    1. Heathcote LC, Jacobs K, Van Ryckeghem DML, et al. . Attention bias modification training for adolescents with chronic pain: a randomized placebo-controlled trial. Pain 2018;159:239–51.
    1. Jones EB, Sharpe L. Cognitive bias modification: a review of meta-analyses. J Affect Disord 2017;223:175–83. 10.1016/j.jad.2017.07.034
    1. Sawyer SM, Azzopardi PS, Wickremarathne D, et al. . The age of adolescence. Lancet Child Adolesc Health 2018;2:223–8. 10.1016/S2352-4642(18)30022-1
    1. Ofcom Adults: media use and attitudes report 2019 2019.
    1. Hamilton F. Perspectives of individuals with chronic musculoskeletal pain towards an online attentional bias modification training programme. University of Southampton, 2015.
    1. Hakamata Y, Lissek S, Bar-Haim Y, et al. . Attention bias modification treatment: a meta-analysis toward the establishment of novel treatment for anxiety. Biol Psychiatry 2010;68:982–90. 10.1016/j.biopsych.2010.07.021
    1. Mogoaşe C, David D, Koster EHW. Clinical efficacy of attentional bias modification procedures: an updated meta-analysis. J Clin Psychol 2014;70:1133–57. 10.1002/jclp.22081
    1. Williams S, Yardley L, Wills GB. A qualitative case study of LifeGuide: Users’ experiences of software for developing Internet-based behaviour change interventions. Health Informatics J 2013;19:61–75. 10.1177/1460458212458915
    1. Cleeland CS, Ryan KM. Pain assessment: global use of the brief pain inventory. Ann Acad Med Singapore 1994;23:129–38.
    1. Kahneman D. Attention and effort. New Jersey: Prentice Hall, 1973.
    1. Broadbent D. Perception and communication. Pergamon: Oxford, 1958.
    1. Thomas M, Sing H, Belenky G, et al. . Neural basis of alertness and cognitive performance impairments during sleepiness. I. Effects of 24 H of sleep deprivation on waking human regional brain activity. J Sleep Res 2000;9:335–52. 10.1046/j.1365-2869.2000.00225.x
    1. Tzambazis K, Stough C. Alcohol impairs speed of information processing and simple and choice reaction time and differentially impairs higher-order cognitive abilities. Alcohol Alcohol 2000;35:197–201. 10.1093/alcalc/35.2.197
    1. Reissig CJ, Strain EC, Griffiths RR. Caffeinated energy drinks--a growing problem. Drug Alcohol Depend 2009;99:1–10. 10.1016/j.drugalcdep.2008.08.001
    1. Zwyghuizen-Doorenbos A, Roehrs TA, Lipschutz L, et al. . Effects of caffeine on alertness. Psychopharmacology 1990;100:36–9. 10.1007/BF02245786
    1. Müller K, Libuda L, Terschlüsen AM, et al. . A review of the effects of lunch on adults' short-term cognitive functioning. Can J Diet Pract Res 2013;74:181–8. 10.3148/74.4.2013.181
    1. Piech RM, Pastorino MT, Zald DH. All I saw was the cake. hunger effects on attentional capture by visual food cues. Appetite 2010;54:579–82. 10.1016/j.appet.2009.11.003
    1. Al-Shawaf L. The evolutionary psychology of hunger. Appetite 2016;105:591–5. 10.1016/j.appet.2016.06.021
    1. Schoth DE, Liossi C. Specificity and time-course of attentional bias in chronic headache: a visual-probe investigation. Clin J Pain 2013;29:583–90.
    1. Mogg K, Bradley BP. Some methodological issues in assessing attentional biases for threatening faces in anxiety: a replication study using a modified version of the probe detection task. Behav Res Ther 1999;37:595–604. 10.1016/S0005-7967(98)00158-2
    1. Cleeland CS. The brief pain inventory: user guide. Houston, TX: The University of Texas MD Anderson Cancer Center, 2009: 1–11.
    1. Dworkin RH, Turk DC, Wyrwich KW, et al. . Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations. J Pain 2008;9:105–21. 10.1016/j.jpain.2007.09.005
    1. Spielberger CD, Gorsuch RL, Lushene RE. State Trait Anxiety Inventory. Palo Alto, California: Consulting Psychologists Press, 1970.
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983;67:361–70. 10.1111/j.1600-0447.1983.tb09716.x
    1. McNeil DW, Rainwater AJ. Development of the fear of pain Questionnaire-III. J Behav Med 1998;21:389–410. 10.1023/A:1018782831217
    1. Hays RD, Stewart AL, Measures S. Measuring functioning and well-being : Steweart AL, JEJ W, Measuring function and well-being; the medical outcome study approach. Duke: Duke University Press, 1992: 235–59.
    1. Richards D, Timulak L. Satisfaction with therapist-delivered vs. self-administered online cognitive behavioural treatments for depression symptoms in college students. Br J Guid Counc 2013;41:193–207. 10.1080/03069885.2012.726347
    1. Gupta SK. Intention-To-Treat concept: a review. Perspect Clin Res 2011;2:109 10.4103/2229-3485.83221
    1. Sweetman EA, Doig GS. Failure to report protocol violations in clinical trials: a threat to internal validity? Trials 2011;12:214 10.1186/1745-6215-12-214
    1. Chan A-W, Tetzlaff JM, Gøtzsche PC, et al. . Spirit 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ 2013;346:e7586 10.1136/bmj.e7586
    1. Groenwold RHH, Donders ART, Roes KCB, et al. . Dealing with missing outcome data in randomized trials and observational studies. Am J Epidemiol 2012;175:210–7. 10.1093/aje/kwr302
    1. White IR, Horton NJ, Carpenter J, et al. . Strategy for intention to treat analysis in randomised trials with missing outcome data. BMJ 2011;342:d40 10.1136/bmj.d40
    1. Morris TP, Kahan BC, White IR. Choosing sensitivity analyses for randomised trials: principles. BMC Med Res Methodol 2014;14:11 10.1186/1471-2288-14-11
    1. Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change. Psychotherapy Research 1991;59:12–19.
    1. Zahra D, Hedge C. The reliable change index: Why isn’t it more popular in academic psychology? Psychology Postgraduate Affairs Group Quarterly 2010;76:14–19.
    1. Schoth DE, Parry L, Liossi C. Combined cognitive biases for sensory-pain and disability information in individuals with chronic headache. J Health Psychol 2018;23:1610–21.
    1. Dear BF, Sharpe L, Nicholas MK, et al. . Pain-Related attentional biases: the importance of the personal relevance and ecological validity of stimuli. J Pain 2011a;12:625–32. 10.1016/j.jpain.2010.11.010
    1. Schoth DE, Williams S, Liossi C. Attentional bias for pain- and period-related symptom words in healthy women who experienced a recent painful period. Eur J Pain 2015;19:745–51. 10.1002/ejp.597
    1. McDermott MJ, Peck KR, Walters AB, et al. . Do episodic migraineurs selectively attend to headache-related visual stimuli? Headache 2013;53:356–64. 10.1111/head.12011
    1. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3:77–101. 10.1191/1478088706qp063oa

Source: PubMed

3
구독하다