How does individualised physiotherapy work for people with low back pain? A Bayesian Network analysis using randomised controlled trial data

被引:5
作者
Liew, Bernard X. W. [1 ]
Ford, Jon J. [2 ]
Scutari, Marco [3 ]
Hahne, Andrew J. [2 ]
机构
[1] Univ Essex, Sch Sport Rehabil & Exercise Sci, Colchester, Essex, England
[2] La Trobe Univ, Sch Allied Hlth Human Serv & Sport, Discipline Physiotherapy, Melbourne, Vic, Australia
[3] Ist Dalle Molle Studi Intelligenza Artificiale ID, Lugano, Switzerland
关键词
FEAR-AVOIDANCE MODEL; TREATMENT PROTOCOL; MUSCULOSKELETAL PAIN; PRIMARY-CARE; FUNCTIONAL RESTORATION; DEPRESSIVE SYMPTOMS; START BACK; CLASSIFICATION; DISORDERS; DISABILITY;
D O I
10.1371/journal.pone.0258515
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose Individualised physiotherapy is an effective treatment for low back pain. We sought to determine how this treatment works by using randomised controlled trial data to develop a Bayesian Network model. Methods 300 randomised controlled trial participants (153 male, 147 female, mean age 44.1) with low back pain (of duration 6-26 weeks) received either individualised physiotherapy or advice. Variables with potential to explain how individualised physiotherapy works were included in a multivariate Bayesian Network model. Modelling incorporated the intervention period (0-10 weeks after study commencement-"early" changes) and the follow-up period (10-52 weeks after study commencement-"late" changes). Sequences of variables in the Bayesian Network showed the most common direct and indirect recovery pathways followed by participants with low back pain receiving individualised physiotherapy versus advice. Results Individualised physiotherapy directly reduced early disability in people with low back pain. Individualised physiotherapy exerted indirect effects on pain intensity, recovery expectations, sleep, fear, anxiety, and depression via its ability to facilitate early improvement in disability. Early improvement in disability, led to an early reduction in depression both directly and via more complex pathways involving fear, recovery expectations, anxiety, and pain intensity. Individualised physiotherapy had its greatest influence on early change variables (during the intervention period). Conclusion Individualised physiotherapy for low back pain appears to work predominately by facilitating an early reduction in disability, which in turn leads to improvements in other biopsychosocial outcomes. The current study cannot rule out that unmeasured mechanisms (such as tissue healing or reduced inflammation) may mediate the relationship between individualised physiotherapy treatment and improvement in disability. Further data-driven analyses involving a broad range of plausible biopsychosocial variables are recommended to fully understand how treatments work for people with low back pain. Trials registration ACTRN12609000834257.
引用
收藏
页数:16
相关论文
共 52 条
[1]   Improving Long-Term Outcomes for Chronic Low Back Pain: Time for a New Paradigm? [J].
Beattie, Paul F. ;
Silfies, Sheri P. .
JOURNAL OF ORTHOPAEDIC & SPORTS PHYSICAL THERAPY, 2015, 45 (04) :236-239
[2]   Network Analysis: An Integrative Approach to the Structure of Psychopathology [J].
Borsboom, Denny ;
Cramer, Angelique O. J. .
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9, 2013, 9 :91-121
[3]   Daily text messages used as a method for assessing low back pain among workers [J].
Burstrom, Lage ;
Jonsson, Hakan ;
Bjor, Bodil ;
Hjalmarsson, Ulla ;
Nilsson, Tohr ;
Reuterwall, Christina ;
Wahlstrom, Jens .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2016, 70 :45-51
[4]   Back pain and work [J].
Costa-Black, Katia M. ;
Loisel, Patrick ;
Anema, Johannes R. ;
Pransky, Glenn .
BEST PRACTICE & RESEARCH IN CLINICAL RHEUMATOLOGY, 2010, 24 (02) :227-240
[5]   Predicting pain recovery in patients with acute low back pain: Updating and validation of a clinical prediction model [J].
da Silva, Tatiane ;
Macaskill, Petra ;
Kongsted, Alice ;
Mills, Kathryn ;
Maher, Chris G. ;
Hancock, Mark J. .
EUROPEAN JOURNAL OF PAIN, 2019, 23 (02) :341-353
[6]   Relationship between depressive symptoms and acute low back pain at first medical consultation, three and six weeks of primary care [J].
Elfering, Achim ;
Kaeser, Anja ;
Melloh, Markus .
PSYCHOLOGY HEALTH & MEDICINE, 2014, 19 (02) :235-246
[7]   Personalized Network Modeling in Psychopathology: The Importance of Contemporaneous and Temporal Connections [J].
Epskamp, Sacha ;
van Borkulo, Claudia D. ;
van der Veen, Date C. ;
Servaas, Michelle N. ;
Isvoranu, Adela-Maria ;
Riese, Harriette ;
Cramer, Angelique O. J. .
CLINICAL PSYCHOLOGICAL SCIENCE, 2018, 6 (03) :416-427
[8]   The Oswestry Disability Index [J].
Fairbank, JCT ;
Pynsent, PB .
SPINE, 2000, 25 (22) :2940-2952
[9]   Efficacy of classification-based cognitive functional therapy in patients with non-specific chronic low back pain: A randomized controlled trial [J].
Fersum, K. Vibe ;
O'Sullivan, P. ;
Skouen, J. S. ;
Smith, A. ;
Kvale, A. .
EUROPEAN JOURNAL OF PAIN, 2013, 17 (06) :916-928
[10]   The Evolving Case Supporting Individualised Physiotherapy for Low Back Pain [J].
Ford, Jon ;
Hahne, Andrew ;
Surkitt, Luke ;
Chan, Alexander ;
Richards, Matthew .
JOURNAL OF CLINICAL MEDICINE, 2019, 8 (09)