Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

What factors predict outcome from an inpatient multidisciplinary chronic pain service? A prospective cohort study

Rebecca M. Mowat A , Gwyn N. Lewis A * and Robert J. Borotkanics B
+ Author Affiliations
- Author Affiliations

A School of Clinical Sciences, Auckland University of Technology, New Zealand.

B Faculty of Health and Environmental Sciences, Auckland University of Technology, New Zealand.

* Correspondence to: gwyn.lewis@aut.ac.nz

Australian Health Review 46(6) 686-694 https://doi.org/10.1071/AH22172
Submitted: 21 July 2022  Accepted: 1 November 2022   Published: 22 November 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA.

Abstract

Objective To identify baseline factors associated with outcomes from an inpatient multidisciplinary pain management program (PMP) located in a bicultural area of Aotearoa New Zealand.

Methods A prospective cohort study was undertaken involving 164 people with chronic pain who attended the PMP. Demographic, clinical, and psychosocial measures were obtained at baseline, whereas clinical and psychosocial outcome measures were also obtained at program discharge and 3-month follow up (N = 100). Multivariate analyses were used to determine baseline demographic variables that were associated with outcomes at discharge and follow up.

Results Being male and working full-time were associated with poorer outcomes in select measures at discharge. At the 3-month follow up, Māori ethnicity, working full-time, being retired or unemployed, or having chronic widespread pain were associated with poorer outcomes for some measures, whereas those with rheumatoid arthritis had greater self-efficacy.

Conclusions Sex, ethnicity, employment status, and patient condition impact clinical outcomes from the program and in the time from discharge to follow up. Program content and/or delivery should be altered to promote more equitable outcomes for all patients in the long term.

Keywords: chronic pain, equity, ethnicity, gender, outcome prediction, pain management program.


References

[1]  Waterschoot FPC, Dijkstra PU, Hollak N, de Vries HJ, Geertzen JHB, Reneman MF. Dose or content? Effectiveness of pain rehabilitation programs for patients with chronic low back pain: a systematic review. Pain 2014; 155 179–89.
Dose or content? Effectiveness of pain rehabilitation programs for patients with chronic low back pain: a systematic review.Crossref | GoogleScholarGoogle Scholar |

[2]  Scascighini L, Toma V, Dober-Spielmann S, Sprott H. Multidisciplinary treatment for chronic pain: a systematic review of interventions and outcomes. Rheumatology 2008; 47 670–8.
Multidisciplinary treatment for chronic pain: a systematic review of interventions and outcomes.Crossref | GoogleScholarGoogle Scholar |

[3]  Stanos S. Focused review of interdisciplinary pain rehabilitation programs for chronic pain management. Curr Pain Headache Rep 2012; 16 147–52.
Focused review of interdisciplinary pain rehabilitation programs for chronic pain management.Crossref | GoogleScholarGoogle Scholar |

[4]  Guzman J, Esmail R, Karjalainen K, Malmivaara A, Irvin E, Bombardier C. Multidisciplinary rehabilitation for chronic low back pain: systematic review. BMJ 2001; 322 1511–6.
Multidisciplinary rehabilitation for chronic low back pain: systematic review.Crossref | GoogleScholarGoogle Scholar |

[5]  Dragioti E, Evangelou E, Larsson B, Gerdle B. Effectiveness of multidisciplinary programmes for clinical pain conditions: An umbrella review. J Rehabil Med 2018; 50 779–91.
Effectiveness of multidisciplinary programmes for clinical pain conditions: An umbrella review.Crossref | GoogleScholarGoogle Scholar |

[6]  Gerdle B, Åkerblom S, Brodda Jansen G, Enthoven P, Ernberg M, Dong HJ, et al. Who benefits from multimodal rehabilitation – an exploration of pain, psychological distress, and life impacts in over 35,000 chronic pain patients identified in the Swedish Quality Registry for Pain Rehabilitation. J Pain Res 2019; 12 891–908.
Who benefits from multimodal rehabilitation – an exploration of pain, psychological distress, and life impacts in over 35,000 chronic pain patients identified in the Swedish Quality Registry for Pain Rehabilitation.Crossref | GoogleScholarGoogle Scholar |

[7]  Malone MD, Strube MJ. Meta-analysis of non-medical treatments for chronic pain. Pain 1988; 34 231–44.
Meta-analysis of non-medical treatments for chronic pain.Crossref | GoogleScholarGoogle Scholar |

[8]  Grimby-Ekman A, Kim M, Stankovic N, Mannheimer C. Multidimensional health changes after a multimodal pain rehabilitation program: a registry-based study. Pain Rep 2021; 6 e938
Multidimensional health changes after a multimodal pain rehabilitation program: a registry-based study.Crossref | GoogleScholarGoogle Scholar |

[9]  Lewis GN, Bean DJ. What influences outcomes from inpatient multidisciplinary pain management programs? A systematic review and meta-analysis. Clin J Pain 2021; 37 504–23.
What influences outcomes from inpatient multidisciplinary pain management programs? A systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[10]  Boonstra AM, Reneman MF, Waaksma BR, Schiphorst Preuper HR, Stewart RE. Predictors of multidisciplinary treatment outcome in patients with chronic musculoskeletal pain. Disabil Rehabil 2015; 37 1242–50.
Predictors of multidisciplinary treatment outcome in patients with chronic musculoskeletal pain.Crossref | GoogleScholarGoogle Scholar |

[11]  de Rooij A, Roorda LD, Otten RHJ, van der Leeden M, Dekker J, Steultjens MPM. Predictors of multidisciplinary treatment outcome in fibromyalgia:a systematic review. Disabil Rehabil 2013; 35 437–49.
Predictors of multidisciplinary treatment outcome in fibromyalgia:a systematic review.Crossref | GoogleScholarGoogle Scholar |

[12]  Gilpin HR, Keyes A, Stahl DR, Greig R, McCracken LM. Predictors of treatment outcome in contextual cognitive and behavioral therapies for chronic pain: A systematic review. J Pain 2017; 18 1153–64.
Predictors of treatment outcome in contextual cognitive and behavioral therapies for chronic pain: A systematic review.Crossref | GoogleScholarGoogle Scholar |

[13]  van der Hulst M, Vollenbroek-Hutten MMR, Ijzerman MJ. A systematic review of sociodemographic, physical, and psychological predictors of multidisciplinary rehabilitation—or, back school treatment outcome in patients with chronic low back pain. Spine 2005; 30 813–25.
A systematic review of sociodemographic, physical, and psychological predictors of multidisciplinary rehabilitation—or, back school treatment outcome in patients with chronic low back pain.Crossref | GoogleScholarGoogle Scholar |

[14]  Tseli E, Boersma K, Stålnacke BM, Enthoven P, Gerdle B, Äng BO, et al. Prognostic factors for physical functioning after multidisciplinary rehabilitation in patients with chronic musculoskeletal pain: A systematic review and meta-analysis. Clin J Pain 2019; 35 148–73.
Prognostic factors for physical functioning after multidisciplinary rehabilitation in patients with chronic musculoskeletal pain: A systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[15]  Pagé MG, Romero Escobar EM, Ware MA, Choinière M. Predicting treatment outcomes of pain patients attending tertiary multidisciplinary pain treatment centers: A pain trajectory approach. Can J Pain 2017; 1 61–74.
Predicting treatment outcomes of pain patients attending tertiary multidisciplinary pain treatment centers: A pain trajectory approach.Crossref | GoogleScholarGoogle Scholar |

[16]  Ektor-Andersen J, Janzon L, Sjölund B. Chronic pain and the sociodemographic environment: results from the Pain Clinic at Malmo General Hospital in Sweden. Clin J Pain 1993; 9 183–8.
Chronic pain and the sociodemographic environment: results from the Pain Clinic at Malmo General Hospital in Sweden.Crossref | GoogleScholarGoogle Scholar |

[17]  Mailis-Gagnon A, Yegneswaran B, Lakha SF, Nicholson K, Steiman AJ, Ng D, et al. Pain characteristics and demographics of patients attending a university-affiliated pain clinic in Toronto, Ontario. Pain Res Manag 2007; 12 93–9.
Pain characteristics and demographics of patients attending a university-affiliated pain clinic in Toronto, Ontario.Crossref | GoogleScholarGoogle Scholar |

[18]  Lewis GN, Upsdell A. Ethnic disparities in attendance at New Zealand’s chronic pain services. N Z Med J 2018; 131 21–8.

[19]  Lewis GN, Borotkanics R, Upsdell A. Inequity in outcomes from New Zealand chronic pain services. N Z Med J 2021; 134 11–20.

[20]  Keel PJ, Wittig R, Deutschmann R, Diethelm U, Knusel O, Loschmann C, et al. Effectiveness of in-patient rehabilitation for sub-chronic and chronic low back pain by an integrative group treatment program (Swiss multicentre study). Scand J Rehabil Med 1998; 30 211–9.
Effectiveness of in-patient rehabilitation for sub-chronic and chronic low back pain by an integrative group treatment program (Swiss multicentre study).Crossref | GoogleScholarGoogle Scholar |

[21]  Kool JP, Oesch PR, Bachmann S, Knuesel O, Dierkes JG, Russo M, et al. Increasing days at work using function-centered rehabilitation in nonacute nonspecific low back pain: A randomized controlled trial. Arch Phys Med Rehabil 2005; 86 857–64.
Increasing days at work using function-centered rehabilitation in nonacute nonspecific low back pain: A randomized controlled trial.Crossref | GoogleScholarGoogle Scholar |

[22]  Moore ME, Berk SN, Nypaver A. Chronic pain: Inpatient treatment with small group effects. Arch Phys Med Rehabil 1984; 65 356–61.

[23]  Janevic MR, Mathur VA, Booker SQ, Morais C, Meints SM, Yeager KA, et al. Making pain research more inclusive: Why and how. J Pain 2021; 23 707–28.
Making pain research more inclusive: Why and how.Crossref | GoogleScholarGoogle Scholar |

[24]  Morais CA, Aroke EN, Letzen JE, Campbell CM, Hood AM, Janevic MR, et al. Confronting racism in pain research: A call to action. J Pain 2022; 23 878–92.
Confronting racism in pain research: A call to action.Crossref | GoogleScholarGoogle Scholar |

[25]  Ministry of Health. Ethnicity Data Protocols. Wellington; Ministry of Health; 2017.

[26]  Durie MH. A Maori perspective of health. Soc Sci Med 1985; 20 483–6.
A Maori perspective of health.Crossref | GoogleScholarGoogle Scholar |

[27]  Dworkin RH, Turk DC, Wyrwich KW, Beaton D, Cleeland CS, Farrar JT, et al. Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations. J Pain 2008; 9 105–21.
Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations.Crossref | GoogleScholarGoogle Scholar |

[28]  Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther 1995; 33 335–43.
The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories.Crossref | GoogleScholarGoogle Scholar |

[29]  Ronk FR, Korman JR, Hooke GR, Page AC. Assessing clinical significance of treatment outcomes using the DASS-21. Psychol Assess 2013; 25 1103–10.
Assessing clinical significance of treatment outcomes using the DASS-21.Crossref | GoogleScholarGoogle Scholar |

[30]  Sullivan MJL, Bishop SR, Pivik J. The Pain Catastrophizing Scale: Development and validation. Psychol Assess 1995; 7 524–32.
The Pain Catastrophizing Scale: Development and validation.Crossref | GoogleScholarGoogle Scholar |

[31]  Pulles ANTD, Köke AJA, Strackke RP, Smeets RJEM. The responsiveness and interpretability of psychosocial patient-reported outcome measures in chronic musculoskeletal pain rehabilitation. Eur J Pain 2020; 24 134–44.
The responsiveness and interpretability of psychosocial patient-reported outcome measures in chronic musculoskeletal pain rehabilitation.Crossref | GoogleScholarGoogle Scholar |

[32]  Nicholas MK. The Pain Self-Efficacy Questionnaire: Taking pain into account. Eur J Pain 2007; 11 153–63.
The Pain Self-Efficacy Questionnaire: Taking pain into account.Crossref | GoogleScholarGoogle Scholar |

[33]  Dubé M-O, Langevin P, Roy J-S. Measurement properties of the Pain Self-Efficacy Questionnaire in populations with musculoskeletal disorders: a systematic review. Pain Rep 2021; 6 e972
Measurement properties of the Pain Self-Efficacy Questionnaire in populations with musculoskeletal disorders: a systematic review.Crossref | GoogleScholarGoogle Scholar |

[34]  Antony MM, Bieling PJ, Cox BJ, Enns MW, Swinson RP. Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychol Assess 1998; 10 176–81.
Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample.Crossref | GoogleScholarGoogle Scholar |

[35]  Pelayo-Alvarez M, Perez-Hoyos S, Agra-Varela Y. Reliability and concurrent validity of the Palliative Outcome Scale, the Rotterdam Symptom Checklist, and the Brief Pain Inventory. J Palliat Med 2013; 16 867–74.
Reliability and concurrent validity of the Palliative Outcome Scale, the Rotterdam Symptom Checklist, and the Brief Pain Inventory.Crossref | GoogleScholarGoogle Scholar |

[36]  Miró J, Nieto R, Huguet A. Predictive factors of chronic pain and disability in whiplash: A Delphi poll. Eur J Pain 2008; 12 30–47.
Predictive factors of chronic pain and disability in whiplash: A Delphi poll.Crossref | GoogleScholarGoogle Scholar |

[37]  Monticone M, Portoghese I, Rocca B, Giordano A, Campagna M, Franchignoni F. Responsiveness and minimal important change of the Pain Catastrophizing Scale in people with chronic low back pain undergoing multidisciplinary rehabilitation. Eur J Phys Rehabil Med 2021; 58 68–75.
Responsiveness and minimal important change of the Pain Catastrophizing Scale in people with chronic low back pain undergoing multidisciplinary rehabilitation.Crossref | GoogleScholarGoogle Scholar |

[38]  Brady B, Veljanova I, Chipchase L. Are multidisciplinary interventions multicultural? A topical review of the pain literature as it relates to culturally diverse patient groups. Pain 2016; 157 321–8.
Are multidisciplinary interventions multicultural? A topical review of the pain literature as it relates to culturally diverse patient groups.Crossref | GoogleScholarGoogle Scholar |

[39]  Yoshikawa K, Brady B, Perry MA, Devan H. Sociocultural factors influencing physiotherapy management in culturally and linguistically diverse people with persistent pain: a scoping review. Physiotherapy 2020; 107 292–305.
Sociocultural factors influencing physiotherapy management in culturally and linguistically diverse people with persistent pain: a scoping review.Crossref | GoogleScholarGoogle Scholar |

[40]  Brady B, Veljanova I, Chipchase L. The Intersections of Chronic Noncancer Pain: Culturally Diverse Perspectives on Disease Burden. Pain Med 2019; 20 434–45.
The Intersections of Chronic Noncancer Pain: Culturally Diverse Perspectives on Disease Burden.Crossref | GoogleScholarGoogle Scholar |

[41]  Yang S-Y, Bogosian A, Moss-Morris R, McCracken LM. Healthcare professionals’ perceptions of psychological treatment for chronic pain in Singapore: challenges, barriers, and the way forward. Disabil Rehabil 2016; 38 1643–51.
Healthcare professionals’ perceptions of psychological treatment for chronic pain in Singapore: challenges, barriers, and the way forward.Crossref | GoogleScholarGoogle Scholar |

[42]  De Silva T, Hodges PW, Costa N, Setchell J. Potential unintended effects of standardized pain questionnaires: A qualitative study. Pain Med 2019; 21 e22–33.
Potential unintended effects of standardized pain questionnaires: A qualitative study.Crossref | GoogleScholarGoogle Scholar |

[43]  Jimenez N, Garroutte E, Kundu A, Morales L, Buchwald D. A review of the experience, epidemiology, and management of pain among American Indian, Alaska Native, and Aboriginal Canadian peoples. J Pain 2011; 12 511–22.
A review of the experience, epidemiology, and management of pain among American Indian, Alaska Native, and Aboriginal Canadian peoples.Crossref | GoogleScholarGoogle Scholar |

[44]  Bäärnhielm S, Ekblad S. Turkish migrant women encountering health care in Stockholm: a qualitative study of somatization and illness meaning. Cult Med Psychiatry 2000; 24 431–52.
Turkish migrant women encountering health care in Stockholm: a qualitative study of somatization and illness meaning.Crossref | GoogleScholarGoogle Scholar |

[45]  Magnusson JE, Fennell JA. Understanding the role of culture in pain: Māori practitioner perspectives relating to the experience of pain. N Z Med J 2011; 124 41–51.

[46]  Basu A, Dutta MJ. Centralizing context and culture in the co-construction of health: Localizing and vocalizing health meanings in rural India. Health Commun 2007; 21 187–96.
Centralizing context and culture in the co-construction of health: Localizing and vocalizing health meanings in rural India.Crossref | GoogleScholarGoogle Scholar |

[47]  Brady B, Veljanova I, Chipchase L. An exploration of the experience of pain among culturally diverse migrant communities. Rheumatol Adv Pract 2017; 1 rkx002
An exploration of the experience of pain among culturally diverse migrant communities.Crossref | GoogleScholarGoogle Scholar |

[48]  Chung JWY, Wong TKS, Yang JCS. The lens model: assessment of cancer pain in a Chinese context. Cancer Nurs 2000; 23 454–61.
The lens model: assessment of cancer pain in a Chinese context.Crossref | GoogleScholarGoogle Scholar |

[49]  Kodiath MF, Kodiath A. A comparative study of patients with chronic pain in India and the United States. Clin Nurs Res 1992; 1 278–91.
A comparative study of patients with chronic pain in India and the United States.Crossref | GoogleScholarGoogle Scholar |

[50]  Strickland CJ. The importance of qualitative research in addressing cultural relevance: experience from research with Pacific Northwest Indian women. Health Care Women Int 1999; 20 517–25.
The importance of qualitative research in addressing cultural relevance: experience from research with Pacific Northwest Indian women.Crossref | GoogleScholarGoogle Scholar |

[51]  Incayawar M, Saucier J-F. Exploring pain in the Andes – learning from the Quichua (Inca) people experience. Postgrad Med 2015; 127 368–75.
Exploring pain in the Andes – learning from the Quichua (Inca) people experience.Crossref | GoogleScholarGoogle Scholar |

[52]  Nortjé N, Albertyn R. The cultural language of pain: a South African study. S Afr Fam Pract 2015; 57 24–7.
The cultural language of pain: a South African study.Crossref | GoogleScholarGoogle Scholar |

[53]  Odone A, Gianfredi V, Vigezzi GP, Amerio A, Ardito C, d’Errico A, et al. Does retirement trigger depressive symptoms? A systematic review and meta-analysis. Epidemiol Psychiatr Sci 2021; 30 e77
Does retirement trigger depressive symptoms? A systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[54]  Li W, Ye X, Zhu D, He P. The longitudinal association between retirement and depression: A systematic review and meta-analysis. Am J Epidemiol 2021; 190 2220–30.
The longitudinal association between retirement and depression: A systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[55]  Pabón-Carrasco M, Ramirez-Baena L, López Sánchez R, Rodríguez-Gallego I, Suleiman-Martos N, Gómez-Urquiza JL. Prevalence of depression in retirees: A meta-analysis. Healthcare 2020; 8 321
Prevalence of depression in retirees: A meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[56]  Wong CKW, Mak RYW, Kwok TSY, Tsang JSH, Leung MYC, Funabashi M, et al. Prevalence, incidence, and factors associated with non-specific chronic low back pain in community-dwelling older adults aged 60 years and older: A systematic review and meta-analysis. J Pain 2021; 23 509–34.
Prevalence, incidence, and factors associated with non-specific chronic low back pain in community-dwelling older adults aged 60 years and older: A systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[57]  Amiri S. Unemployment associated with major depression disorder and depressive symptoms: a systematic review and meta-analysis. Int J Occup Saf Ergon 2021;
Unemployment associated with major depression disorder and depressive symptoms: a systematic review and meta-analysis.Crossref | GoogleScholarGoogle Scholar |

[58]  Fietta P, Fietta P, Manganelli P. Fibromyalgia and psychiatric disorders. Acta Biomed 2007; 78 88–95.

[59]  Hudson JI, Goldenberg DL, Pope Jr HG, Keck Jr PE, Schlesinger L. Comorbidity of fibromyalgia with medical and psychiatric disorders. Am J Med 1992; 92 363–7.
Comorbidity of fibromyalgia with medical and psychiatric disorders.Crossref | GoogleScholarGoogle Scholar |

[60]  Ross RL, Jones KD, Ward RL, Wood LJ, Bennett RM. Atypical depression is more common than melancholic in fibromyalgia: an observational cohort study. BMC Musculoskelet Disord 2010; 11 120
Atypical depression is more common than melancholic in fibromyalgia: an observational cohort study.Crossref | GoogleScholarGoogle Scholar |

[61]  Rosenzweig S, Greeson JM, Reibel DK, Green JS, Jasser SA, Beasley D. Mindfulness-based stress reduction for chronic pain conditions: variation in treatment outcomes and role of home meditation practice. J Psychosom Res 2010; 68 29–36.
Mindfulness-based stress reduction for chronic pain conditions: variation in treatment outcomes and role of home meditation practice.Crossref | GoogleScholarGoogle Scholar |

[62]  Borchers AT, Gershwin ME. Fibromyalgia: A critical and comprehensive review. Clin Rev Allergy Immunol 2015; 49 100–51.
Fibromyalgia: A critical and comprehensive review.Crossref | GoogleScholarGoogle Scholar |

[63]  Michaelson P, Sjölander P, Johansson H. Factors predicting pain reduction in chronic back and neck pain after multimodal treatment. Clin J Pain 2004; 20 447–54.
Factors predicting pain reduction in chronic back and neck pain after multimodal treatment.Crossref | GoogleScholarGoogle Scholar |

[64]  Persson E, Lexell J, Eklund M, Rivano-Fischer M. Positive effects of a musculoskeletal pain rehabilitation program regardless of pain duration or diagnosis. PM&R 2012; 4 355–66.
Positive effects of a musculoskeletal pain rehabilitation program regardless of pain duration or diagnosis.Crossref | GoogleScholarGoogle Scholar |

[65]  Vartiainen P, Heiskanen T, Sintonen H, Roine RP, Kalso E. Health-related quality of life change in patients treated at a multidisciplinary pain clinic. Eur J Pain 2019; 23 1318–28.
Health-related quality of life change in patients treated at a multidisciplinary pain clinic.Crossref | GoogleScholarGoogle Scholar |

[66]  Ringqvist Å, Dragioti E, Björk M, Larsson B, Gerdle B. Moderate and stable pain reductions as a result of interdisciplinary pain rehabilitation—A cohort study from the Swedish Quality Registry for Pain Rehabilitation (SQRP). J Clin Med 2019; 8 905
Moderate and stable pain reductions as a result of interdisciplinary pain rehabilitation—A cohort study from the Swedish Quality Registry for Pain Rehabilitation (SQRP).Crossref | GoogleScholarGoogle Scholar |

[67]  Gerdle B, Molander P, Stenberg G, Stålnacke B-M, Enthoven P. Weak outcome predictors of multimodal rehabilitation at one-year follow-up in patients with chronic pain—a practice based evidence study from two SQRP centres. BMC Musculoskelet Disord 2016; 17 490
Weak outcome predictors of multimodal rehabilitation at one-year follow-up in patients with chronic pain—a practice based evidence study from two SQRP centres.Crossref | GoogleScholarGoogle Scholar |

[68]  Racine M, Solé E, Sánchez‐Rodríguez E, Tomé‐Pires C, Roy R, Jensen MP, et al. An evaluation of sex differences in patients with chronic pain undergoing an interdisciplinary pain treatment program. Pain Pract 2020; 20 62–74.
An evaluation of sex differences in patients with chronic pain undergoing an interdisciplinary pain treatment program.Crossref | GoogleScholarGoogle Scholar |

[69]  Pieh C, Altmeppen J, Neumeier S, Loew T, Angerer M, Lahmann C. Gender differences in outcomes of a multimodal pain management program. Pain 2012; 153 197–202.
Gender differences in outcomes of a multimodal pain management program.Crossref | GoogleScholarGoogle Scholar |

[70]  Keogh E, McCracken LM, Eccleston C. Do men and women differ in their response to interdisciplinary chronic pain management? Pain 2005; 114 37–46.
Do men and women differ in their response to interdisciplinary chronic pain management?Crossref | GoogleScholarGoogle Scholar |

[71]  Gilpin HR, Stahl DR, McCracken LM. A theoretically guided approach to identifying predictors of treatment outcome in Contextual Cognitive Behavioural Therapy for chronic pain. Eur J Pain 2019; 23 354–66.
A theoretically guided approach to identifying predictors of treatment outcome in Contextual Cognitive Behavioural Therapy for chronic pain.Crossref | GoogleScholarGoogle Scholar |

[72]  Buzasi E, Kurakata H, Gandhi A, Birch HL, Zarnegar R, Best L. Effects of booster sessions on self-management interventions for chronic musculoskeletal pain: a systematic review and meta-analysis of randomised controlled trials. Pain 2022; 163 214–57.
Effects of booster sessions on self-management interventions for chronic musculoskeletal pain: a systematic review and meta-analysis of randomised controlled trials.Crossref | GoogleScholarGoogle Scholar |