Skip to main content

Multidisciplinary programme for rehabilitation of chronic low back pain – factors predicting successful return to work



There are no clear indicators for predicting return to work for patients with chronic low back pain (LBP). We aim to report the outcomes of a 14-week multidisciplinary programme targeting patients with chronic LBP who failed conventional physiotherapy to provide functional rehabilitation. Also, this study will identify factors predicting successful return to work (RTW).


A collected cohort of patients with chronic LBP was consecutively enrolled into the programme from 1996 to 2014. All recruited patients failed to RTW despite at least 3 months of conservative treatment. Patient underwent weekly multidisciplinary sessions with physiotherapists, occupational therapists and clinical psychologists. Patient perceived function was considered the primary outcome of the programme. Patients were assessed for their sitting, standing and walking tolerance. Oswestry Disability Index (ODI) and Spinal Function Sort Score (SFSS) were used to assess patient perceived disability.


One hundred and fifty-eight patients were recruited. After the programme, statistically significant improvement was found in ODI (47.5 to 45.0, p = 0.01) and SFSS (98.0 to 109.5, p <  0.001). There was statistically significant improvement (p <  0.01) in sitting, standing, walking tolerance and straight leg raise tests. 47.4% of the patients were able to meet their work demand. Multivariate logistic regression model (R2 = 59.5%, χ2 (9) = 85.640, p <  0.001) demonstrated that lower initial job demand level and higher patient-perceived back function correlated with greater likelihood of returning to work.


The results of this study may support the use of this multidisciplinary programme to improve patient function and return to work.

Peer Review reports


Low back pain (LBP) is the leading cause of disability worldwide, accounting for 50 million years of disability with significant healthcare costs [1, 2]. The situation is similar in Asian populations, where LBP is the second leading cause of disability with 7.7 million years of disability, incurring a significant economic burden with LBP-related absenteeism [3, 4]. Rehabilitation and reintegration of these patients into the working population, therefore, is paramount to alleviating the enormous medical and social costs of LBP.

Particularly amongst this population, up to one-third of patients with acute LBP progress into chronic LBP (pain for duration of at least 3 months), rendering them more prone to developing a persistent course of pain, typically resistant to conventional treatments such as physiotherapy and analgesics [5, 6]. In addition to the physiological component of pain, there is often associated psychological factors, for example anxiety and catastrophization, which can impede recovery to a significant degree [7]. Therefore, a multidisciplinary biopsychosocial model of rehabilitation is often required in order to ameliorate the physiological, psychological and social disabilities of chronic LBP [8].

Over the years, considerable effort has been placed into identifying suitable strategies to rehabilitate this group of patients with chronic LBP. In the recent literature, there is a general trend to migrate from single therapies such as physiotherapy, psychotherapy or medical treatment alone to multidisciplinary programmes in treatment of chronic LBP. A Cochrane review suggested that multidisciplinary rehabilitation is superior to usual care in terms of symptom relief and functional recovery [9]. However, there is no clear evidence that multidisciplinary rehabilitation is superior in helping patients return to work (RTW) [10]. It is worth noting that one of the limitations in this recent Cochrane review identified most of the literature included in recent reviews to be of low to moderate quality due to heterogeneous patient populations and intervention protocols [11, 12]. Also, most of the literature is based on Caucasian populations.

The current study aims to report the southern Chinese experience with a 14-week intensive multidisciplinary programme aiming at functional recovery in patients with chronic LBP, and to determine the predictive factors for successful RTW.


Aims of this study

This was a retrospective study of a group of subjects with chronic LBP, who were enrolled in a 14-week rehabilitation programme specifically catered for treatment of chronic LBP. Subjects were enrolled consecutively into the study over the period of 1996–2014. The primary goal of the study was to report the functional improvement after the programme in terms of improvement in perceived disability. Secondary parameters such as pain, physical tolerance and psychological stresses were also reported. The secondary goal was to determine the ability of subjects to RTW. Secondary analysis was performed to identify factors affecting the ability to work in this particular group of subjects.

Programme details

Subjects selected were enrolled in a 14-week rehabilitation programme in a tertiary centre. The aim of the programme was to restore function to these subjects so they could RTW. The programme was structured into integrated sessions which encompassed input from orthopaedic surgeons, physiotherapists, occupational therapists and clinical psychologists. Subjects attended whole-day outpatient sessions on a 3 times weekly basis in a government-funded rehabilitation facility for the programme. Subjects on attendance paid the usual government-subsidized fees for specialist clinic attendance. There were no other sources of private funding in the programme.

Patient selection

Stringent inclusion and exclusion criteria were adopted in subject recruitment. Subjects with chronic non-specific LBP with failure of RTW were selected for admission into the programme. Chronic LBP was defined as LBP with duration of more than 3 months. Subjects recruited had been unable to return to duty due to chronic LBP for at least 3 months. All subjects had gone through a period of at least 3 months of conventional back physiotherapy or pharmacological treatment with residual LBP affecting RTW.

Subjects with neurological deficits from history or physical examination were excluded. Those who had congenital or structural spinal anomalies, history of previous spinal surgery or LBP related injections were excluded. Subjects who were unable to comply with regular attendance to therapy and assessment were excluded. Subjects showing signs of malingering were also excluded from the programme in study after thorough psychological screening.

Subject screening was performed in the specialist orthopaedic outpatient clinic. According to the aforementioned criteria and assessment by an experienced orthopaedic surgeon, subjects were referred to the programme and enrolled into study. At admission into the programme, the subjects were reviewed again by orthopaedic surgeons, physiotherapists, occupational therapists and clinical psychologists according to the inclusion and exclusion criteria.

Assessment and outcome measures

Assessment time-points were fixed at baseline upon recruitment at the commencement of the rehabilitation programme and at 8-weeks and 14-weeks into the programme. Objective assessment of the subjects was performed by physiotherapists and occupational therapists, while patient-reported outcomes were gathered with questionnaires and patient-centred interviews with clinical psychologists.

Functional outcomes from the rehabilitation programme were examined in four major areas: physical assessment, pain severity, psychological adaptation and disability perception.

Physical assessment

Sitting, standing and walking tolerance were assessed, and straight leg raise (SLR) tests were performed for both legs at the set time-points. The measurements were performed by the same physiotherapists following up the subject. Premorbid work strength, derived from the subject’s premorbid duty was measured with the Physical Demand Characteristics of work (PDC) by occupational therapists [13, 14]. PDC was graded into ‘0 = sedentary’, ‘1 = light’, ‘2 = medium’, ‘3 = heavy’ and ‘4 = very heavy’ depending on the amount and frequency of physical labour (lifting, pushing and pulling tasks) involved in the described duty. The subject’s work strength was determined by PDC in accordance with premorbid duty specific tasks performed during occupational therapist assessment [15].

Pain severity

Pain severity was measured using the visual analogue score (VAS). We assessed the pain perception for the worst pain experienced by the subject at rest and under exertion (standard walking task for 100 m), on a continuous scale from 0 to 10, with 0 indicating no pain, and 10 indicating the worst pain experienced by the subject.

Psychological adaptation

For the psychological aspect, stress response and coping response to chronic LBP was measured using Acceptance of Illness Scale (AIS) [16, 17]. AIS is a questionnaire designed to measure disease acceptance in adult individuals. Using a standard 8-statement questionnaire, each given a grade from 1 to 5, the total score of AIS is between 8 to 40. A low AIS score shows lack of adjustment to disease, with no acceptance of the condition, whereas a high score indicates acceptance and adjustment towards disease. Subjects’ overall psychological wellbeing was assessed with the Bradburn Affect Balance Scale (BABS) [18,19,20]. BABS is a 10-statement questionnaire, where the subject either agrees to or disagrees with each statement. Each statement within the questionnaire carries equal weighing, with 5 statements carrying positive points and 5 carrying negative points. The total score of the BABS therefore ranges from − 5 to + 5, where a more positive score indicates a more satisfied and elated emotional state. Depressive tendencies were detected using the Beck Depression Inventory (BDI) [21, 22], a 21-question tool with each question given a grade from 0 to 3, to give a total score out of 63. The score placed the subject into groups of minimal, mild, moderate to severe depression. A higher score points to more depressive tendency within a subject. These parameters were gathered with use of questionnaires and interviews with clinical psychologists during each assessment.

Disability perception

Oswestry Disability Index (ODI) and Spinal Function Sort Score (SFSS) were used to gauge the subject’s subjective perception of disability. ODI is an index derived from the Oswestry Low Back Pain Questionnaire which is used to quantify disability of LBP [23]. The questionnaire contains ten items pertaining to areas of daily life concerning intensity of pain, lifting, sexual function, social life, sleep quality and ability to care for oneself, walk, sit, stand or travel. Each item is graded from 0 to 5 indicating least to severe degree of disability in the area. The score is summed and multiplied by two, with an index of 0 to 100, with 0 indicating no disability and 100 indicating maximal disability. SFSS is an assessment of perceived ability to perform work tasks involving the spine [24]. It consists of 50 graphically depicted tasks in which the subject is instructed to grade the ability to perform the task on a scale of 0 to 4, with 0 indicating inability and 4 indicating capability in performing the task. The total score of the SFSS ranges from 0 to 200, with a higher score indicating a better perceived capability in terms of physical demand.

Returning to work

The subject’s ability to RTW was assessed using work strength progression in the form of PDC compared to the described job demand according to the subject. The subject was asked to perform the tasks described in the initial job description, with the performance graded according to PDC. Subjects with a grade higher or equal to that of the assessed job demand grade and successfully re-integrated into the same workplace were defined as capable of RTW. This was assessed at the completion of the programme. In contrary, subjects with a performance lower than that of the described job demand were defined as failing to RTW.

Statistical analysis

Descriptive statistics were calculated and presented in mean, standard deviation and percentage. Normality tests were conducted using Shapiro-Wilk tests and scatter plots. For the comparison of parameters before and after the programme, paired t-test and its non-parametric equivalent Wilcoxon signed rank test were conducted where appropriate. Correlation tests of the outcome of RTW with various parameters was conducted using chi-square test of independence (for categorical variables) and Spearman’s rank-order correlation (for continuous variables). For the prediction of whether patients have the ability to RTW after the programme, the ability to return to work was dichotomized as capable (coded as 1) and failure (coded as 0). Univariate analysis was run using logistic regression between each factor with the outcome defined. The pre-selection significance level was set at 0.20 for factors to be included in the multivariate regression models [25]. Multivariate logistic regression was then performed to ascertain the effect of various factors on the likelihood of subjects returning to work. Receiver operating characteristic (ROC) curve was utilized to evaluate the multivariate logistic regression model. Sensitivity and specificity in predicting the possibility of RTW post-programme was reported. Odds ratios (ORs) and 95% confidence intervals (CIs) were reported as appropriate. Statistical significance was considered with a p-value < 0.05. Statistical analyses were conducted using SPSS Windows 24.0 (IBM SPSS Inc., Chicago, Illinois).


One hundred and ninety-one subjects were enrolled into the programme but only 158 subjects were accrued for final analysis (Fig. 1). Mean age was 41 ± 9.4 years old, with 41 female subjects (25.9%) and 117 male subjects (74.1%). IOD was reported in 144 subjects (91.1%) as the cause for their chronic LBP. One hundred and fifty-three subjects (96.8%) have received a combination of pharmacological treatment and physiotherapy prior to admission into the programme, while the remaining 5 subjects (3.2%) received only analgesics without attendance to physiotherapy. Majority of our subjects had a medium to heavy job demand according to PDC.

Fig. 1

The final available number of subjects for analysis was 158 after multiple defaulters and withdrawals from the programme

Functional assessment outcomes (Table 1)

Physical assessment

Sitting tolerance improved from 50.0 to 61.6 min, standing tolerance improved from 40.7 to 47.2 min, while walking tolerance improved from 50.6 to 59.7 min (p <  0.001) after the multidisciplinary rehabilitation programme. SLR results improved from 74 to 77 degrees on both sides (p <  0.05). The median work strength improved from 1 to 2 (from ‘light’ to ‘medium’ grade) after the programme (p < 0.001).

Table 1 Change in Outcomes after the Multidisciplinary Programme

Pain severity

After completion of the multidisciplinary programme, there was no significant change in VAS at rest (p = 0.75) and under exertion (p = 0.86). Their values have remained similar pre-programme and post-programme.

Psychological adaptation

Subjects generally showed improved acceptance towards their chronic LBP as shown by the improved AIS from 21 to 22 (p < 0.05). There was deterioration in BDI from 17 to 19 (p < 0.05). The general mood and emotional wellbeing as represented by BABS showed no significant change before and after the programme (p = 0.89).

Disability perception

There was improvement in subjects’ perception on their own disabilities in work and activities of daily living. This was reflected by the improvement in the ODI from 47.5 to 44.0% (p < 0.05) and SFSS scores from 97.9 to 109 (p < 0.001).

Return to work and factors determining likelihood of return to work

After the programme, 48.1% of subjects met their work demand. Univariate analyses (Table 2) showed that age, sex, initial job demand level, smoking, IOD status, pre-programme work strength, pre-programme BDI and pre-programme BABS were correlated with ability to RTW. Univariate analysis (Table 3) revealed that job demand level, smoking, IOD, pre-programme BDI, SFSS and BABS were significant factors (p < 0.20). Multivariate regression defined a statistically significant model, χ2 (9) = 85.640, p < 0.001. The model explained 59.5% (Nagelkerke R2) of the variance and correctly classified 78.6% of cases (Table 4). Statistically significant effect on ability to RTW was found with initial job demand level (by PDC) at medium and heavy levels, and higher pre-programme SFSS. The initial job demand (by PDC) was found to be the most significant predictor for whether the patients RTW. Initial job demand of medium and heavy levels has the greater likelihood of returning to work in this study cohort in comparison to those with very heavy job demand. However, it was observed that the upper and lower bounds of the 95% CI of the OR covered a wide range, indicating a less precise estimate of the OR. The pre-programme SFSS also associated with RTW, with every 1 score increase in SFSS leading to 1.3% increase in the odds of RTW (OR = 1.013, 95% CI 1.001–1.026, p = 0.037). Smoking status, pre-programme BABS, BDI as well as the status of whether the cause of LBP was an IOD did not show any significant effect on the ability to RTW. ROC analysis (Fig. 2) showed 82.4% sensitivity and 76.1% specificity for predicting the possibility of returning to work post-programme with a cut-off value of 0.51 predicted probability generated for the multivariate logistic regression model.

Table 2 Correlation of various parameters with ability to return to work
Table 3 Univariate analysis of various parameters with ability to return to work
Table 4 Multivariate analysis of ability to return to work
Fig. 2

ROC curve showed 82.4% sensitivity and 76.1% specificity for predicting the possibility of returning to work post-programme with a cut-off value of 0.51 predicted probability generated for the multivariate logistic regression model


Chronic non-specific LBP is a significant disease entity with heavy social, economic and medical costs and implications. Current evidence suggests that a multi-disciplinary model is helpful in achieving reduction in pain and symptoms, however there is a lack of understanding of predictive factors of outcomes related to RTW [26]. The first part of this study provides insight on the effectiveness of a multidisciplinary programme for this group of subjects, with a particular aim for functional recovery. From the above data, there was functional improvement in this group of subjects with chronic non-specific LBP. In the second part of the study, we have demonstrated that subjects with a lower initial job demand level and higher baseline back-specific function were more likely to be able to RTW. This result aids identification of individuals with good potential and higher likelihood of success and may benefit from an earlier and more aggressive form of multidisciplinary training.

The data gathered from this study shows that the multidisciplinary programme improved physical tolerances towards daily activities in patients with chronic non-specific LBP. This correlates with overseas and local studies, where similar improvements in physical outcomes were observed after multidisciplinary rehabilitation [9, 10, 27]. There was also a significant improvement in work tolerance from ‘light’ grade to ‘medium’ grade duty according to PDC classification. Physical improvements aside, improvement of the perceived function in daily living corresponded to that in previous studies with better ODI and SFSS [9, 27]. Although the change in ODI did not reach the minimum clinically important difference (MCID) of 17 [28], some studies suggested that ODI alone does not provide a comprehensive assessment of disability [29, 30]. Therefore, with the inclusion of SFSS to assess back and spine specific function, our study hopes to more accurately reflect the functional capability of patients. However, in the psychological aspect, despite improvements in physical and self-perceived capabilities, increase in reported BDI suggested pervasive negative cognitions and ideas, with a mean BDI within the mild depression category at pre-programme and post-programme assessment. This change however was not clinically significant according to the proposed MCID of 17% change as discussed in the recent literature [31]. Moreover, they were more accepting towards chronic LBP as evident by the AIS scores reported.

The generated statistical model in this study identified the patient with a lower initial job demand and a better self-perceived back-specific functional capacity (as evident by SFSS) to be more likely to achieve RTW. The initial job demand level was found to have a statistically significant correlation with the ability to work. Subgroup regression analysis based on job demand level by PDC classification further determined that patients with ‘medium’ grade of initial job demand are most likely to RTW. This also agrees with overseas studies suggesting that a lower job physical demand tends to increase RTW [2, 32, 33]. A better patient-perceived back-specific functional capacity was also noted to have a significant correlation to the ability to RTW, which was supported by current literature [2, 32, 34]. Surprisingly, the status of IOD and its implied associated compensation did not influence the likelihood to RTW as compared to some studies [32, 35]. This can potentially provide a different perspective as to the need to differentiate this group of patients when treating chronic LBP, as suggested by previous studies [2, 27]. The factors identified in the results may provide a guide to future resource allocation focusing on functional rehabilitation in patients with chronic LBP.


There are some limitations to the study which could be improved. Firstly, the study was retrospective in design, which potentially introduced selection bias into the study. The preset inclusion and exclusion criteria might select a group of subjects who might have social and psychological confounders that could hinder accurate assessment of their rehabilitation progress, as well as their ability to RTW. Secondly, the study was carried over a long period of time of over 18 years, which could affect the consistency and fairness of assessment for all subjects. Despite the same set of assessment tools and rehabilitation protocols, personnel and facility changes could still bring in variability to the programme delivered. Thirdly, our study was of a cross-sectional study design, which means that there was no control group to compare the outcome of RTW and improvement after rehabilitation programme. The study could only report the observed RTW rate which was then used to identify common factors in those who were able to RTW. The analysis is further limited due to only 158 assessed at follow-up.

Further directions

There are a few areas that need to be further investigated prior to bridging the model generated within this study to predict RTW. Psychological assessment tools in this study were mainly for assessment of general emotional wellbeing as well as acceptance towards general diseases. In spite of this, they may not completely represent the complete psychological response to pain for analysis, in particular the fear-avoidance tendencies in patients with chronic pain [36]. Further studies may consider adaptation of more pain specific questionnaires, for example Fear-Avoidance Beliefs Questionnaire (FABQ) to ascertain the psychological component of chronic non-specific LBP [37, 38]. Also, from previous studies stratifying the probability of returning to work in this particular population of patients with chronic LBP, social circumstances and psychological expectations on RTW were found to correlate with participation in patients with chronic non-specific LBP, which have not been covered in this study [2, 39]. According to a recent review on factors obstructing return to functional roles in patients with LBP, workplace factors, job satisfaction and employer-employee communications were also suggested to be underlying factors affecting RTW [40]. Moreover, with a focus on social reintegration, more longitudinal follow-up may be needed to delineate the time in which the patients achieve RTW and subsequent maintenance, which accounts for significant years of disability and social costs. Last but not least the cost and benefit analysis of this multidisciplinary mode of rehabilitation may be another factor to take into account when adopting this model in rehabilitating patients with chronic LBP.


We report from this study the outcomes of the multidisciplinary programme, which showed improvement in function and general wellbeing of a patient group that had failed other forms of conservative treatment and was unable to RTW. We have identified several predictors of good outcomes for successful functional rehabilitation and matching workplace demands, namely a low initial job demand, and a higher patient-perceived back function. A viable model was constructed with our data to identify patients with good potential most suitable for this intensive rehabilitation programme. Further investigation may be beneficial into psychological and social elements affecting the likelihood of returning to work in this group of patients.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



Acceptance of Illness Scale


Bradburn Affect Balance Scale


Beck Depression Inventory


Confidence interval


Fear-Avoidance Beliefs Questionnaire


Injury on duty


Low back pain


Minimum clinically important difference


Oswestry Disability Index


Odds ratio


Physical demand characteristics of work


Return to work


Spinal Function Sort Score


Straight leg raise test


Visual analogue scale


  1. 1.

    Disease GBD, Injury I, Prevalence C. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the global burden of Disease study 2016. Lancet. 2017;390(10100):1211–59.

    Article  Google Scholar 

  2. 2.

    Steenstra IA, Munhall C, Irvin E, Oranye N, Passmore S, Van Eerd D, et al. Systematic review of prognostic factors for return to work in workers with sub acute and chronic low Back pain. J Occup Rehabil. 2017;27(3):369–81.

    Article  Google Scholar 

  3. 3.

    Tveito TH, Hysing M, Eriksen HR. Low back pain interventions at the workplace: a systematic literature review. Occup Med (Lond). 2004;54(1):3–13.

    Article  Google Scholar 

  4. 4.

    Wu A, Dong W, Liu S, Cheung JPY, Kwan KYH, Zeng X, et al. The prevalence and years lived with disability caused by low back pain in China, 1990 to 2016: findings from the global burden of disease study 2016. Pain. 2019;160(1):237–45.

    Article  Google Scholar 

  5. 5.

    Hayden JA, Dunn KM, van der Windt DA, Shaw WS. What is the prognosis of back pain? Best Pract Res Clin Rheumatol. 2010;24(2):167–79.

    CAS  Article  Google Scholar 

  6. 6.

    Pengel LH, Herbert RD, Maher CG, Refshauge KM. Acute low back pain: systematic review of its prognosis. BMJ. 2003;327(7410):323.

    Article  Google Scholar 

  7. 7.

    Main CJ, Sowden G, Hill JC, Watson PJ, Hay EM. Integrating physical and psychological approaches to treatment in low Back pain: the development and content of the STarT Back trial's 'high-risk' intervention (StarT Back; ISRCTN 37113406). Physiotherapy. 2012;98(2):110–6.

    CAS  Article  Google Scholar 

  8. 8.

    Waddell G. 1987 Volvo award in clinical sciences. A new clinical model for the treatment of low-back pain. Spine (Phila pa 1976). 1987;12(7):632–44.

    CAS  Article  Google Scholar 

  9. 9.

    Kamper SJ, Apeldoorn AT, Chiarotto A, Smeets RJ, Ostelo RW, Guzman J, et al. Multidisciplinary biopsychosocial rehabilitation for chronic low back pain. Cochrane Database Syst Rev. 2014;9:CD000963.

    Google Scholar 

  10. 10.

    Marin TJ, Van Eerd D, Irvin E, Couban R, Koes BW, Malmivaara A, et al. Multidisciplinary biopsychosocial rehabilitation for subacute low back pain. Cochrane Database Syst Rev. 2017;6:CD002193.

    PubMed  Google Scholar 

  11. 11.

    Ewert T, Limm H, Wessels T, Rackwitz B, von Garnier K, Freumuth R, et al. The comparative effectiveness of a multimodal program versus exercise alone for the secondary prevention of chronic low back pain and disability. PM R. 2009;1(9):798–808.

    Article  Google Scholar 

  12. 12.

    van Middelkoop M, Rubinstein SM, Kuijpers T, Verhagen AP, Ostelo R, Koes BW, et al. A systematic review on the effectiveness of physical and rehabilitation interventions for chronic non-specific low back pain. Eur Spine J. 2011;20(1):19–39.

    Article  Google Scholar 

  13. 13.

    Matheson LN, Mooney V, Grant JE, Leggett S, Kenny K. Standardized evaluation of work capacity. J Back Musculoskelet Rehabil. 1996;6(3):249–64.

    CAS  Article  Google Scholar 

  14. 14.

    Velozo CA, Choi B, Zylstra SE, Santopoalo R. Measurement qualities of a self-report and therapist-scored functional capacity instrument based on the dictionary of occupational titles. J Occup Rehabil. 2006;16(1):109–22.

    Article  Google Scholar 

  15. 15.

    Fishbain DA, Cutler RB, Rosomoff H, Khalil T, Abdel-Moty E, Steele-Rosomoff R. Validity of the dictionary of occupational titles residual functional capacity battery. Clin J Pain. 1999;15(2):102–10.

    CAS  Article  Google Scholar 

  16. 16.

    Felton BJ, Revenson TA, Hinrichsen GA. Stress and coping in the explanation of psychological adjustment among chronically ill adults. Soc Sci Med. 1984;18(10):889–98.

    CAS  Article  Google Scholar 

  17. 17.

    Krajewski W, Mazur M, Poterek A, Pastuszak A, Halska U, Tukiendorf A, et al. Assessment of pain management, acceptance of illness, and adjustment to life with Cancer in patients with nonmuscle invasive bladder Cancer. Biomed Res Int. 2018;2018:7598632.

    Article  Google Scholar 

  18. 18.

    Bradburn NM, Noll CE. The structure of psychological well-being. Chicago: Aldine Pub. Co.; 1969.

    Google Scholar 

  19. 19.

    McDowell I, Praught E. On the measurement of happiness. An examination of the Bradburn scale in the Canada health survey. Am J Epidemiol. 1982;116(6):949–58.

    CAS  Article  Google Scholar 

  20. 20.

    McDowell I. Measures of self-perceived well-being. J Psychosom Res. 2010;69(1):69–79.

    Article  Google Scholar 

  21. 21.

    Beck AT. The diagnosis and management of depression. Philadelphia: University of Pennsylvania Press; 1973.

    Google Scholar 

  22. 22.

    Yeung A, Howarth S, Chan R, Sonawalla S, Nierenberg AA, Fava M. Use of the Chinese version of the Beck depression inventory for screening depression in primary care. J Nerv Ment Dis. 2002;190(2):94–9.

    Article  Google Scholar 

  23. 23.

    Fairbank JC, Pynsent PB. The Oswestry disability index. Spine (Phila Pa 1976). 2000;25(22):2940–52 discussion 52.

    CAS  Article  Google Scholar 

  24. 24.

    Oesch PR, Hilfiker R, Kool JP, Bachmann S, Hagen KB. Perceived functional ability assessed with the spinal function sort: is it valid for European rehabilitation settings in patients with non-specific non-acute low back pain? Eur Spine J. 2010;19(9):1527–33.

    CAS  Article  Google Scholar 

  25. 25.

    Sperandei S. Understanding logistic regression analysis. Biochem Med (Zagreb). 2014;24(1):12–8.

    Article  Google Scholar 

  26. 26.

    Luk KD, Wan TW, Wong YW, Cheung KM, Chan KY, Cheng AC, et al. A multidisciplinary rehabilitation programme for patients with chronic low back pain: a prospective study. J Orthop Surg (Hong Kong). 2010;18(2):131–8.

    Article  Google Scholar 

  27. 27.

    Law SW, Szeto GP, Chau WW, Chan C, Kwok AW, Lai HS, et al. Multi-disciplinary Orthopaedics rehabilitation empowerment (MORE) program: a new standard of care for injured workers in Hong Kong. J Back Musculoskelet Rehabil. 2016;29(3):503–13.

    CAS  Article  Google Scholar 

  28. 28.

    Hung M, Saltzman CL, Kendall R, Bounsanga J, Voss MW, Lawrence B, et al. What are the MCIDs for PROMIS, NDI, and ODI instruments among patients with spinal conditions? Clin Orthop Relat Res. 2018;476(10):2027–36.

    Article  Google Scholar 

  29. 29.

    Davidson M, Keating JL. A comparison of five low back disability questionnaires: reliability and responsiveness. Phys Ther. 2002;82(1):8–24.

    Article  Google Scholar 

  30. 30.

    Schwind J, Learman K, O'Halloran B, Showalter C, Cook C. Different minimally important clinical difference (MCID) scores lead to different clinical prediction rules for the Oswestry disability index for the same sample of patients. J Man Manip Ther. 2013;21(2):71–8.

    Article  Google Scholar 

  31. 31.

    Button KS, Kounali D, Thomas L, Wiles NJ, Peters TJ, Welton NJ, et al. Minimal clinically important difference on the Beck depression inventory--II according to the patient's perspective. Psychol Med. 2015;45(15):3269–79.

    CAS  Article  Google Scholar 

  32. 32.

    Blackwell TL, Leierer SJ, Haupt SS, Kampitsis A, Wolfson JR. Prediction of vocational outcomes for Workers' compensation claimants with Back Injury. J Appl Rehabil Couns. 2004;35(2):32–8.

    Google Scholar 

  33. 33.

    van der Giezen AM, Bouter LM, Nijhuis FJ. Prediction of return-to-work of low back pain patients sicklisted for 3-4 months. Pain. 2000;87(3):285–94.

    Article  Google Scholar 

  34. 34.

    Trippolini MA, Janssen S, Hilfiker R, Oesch P. Measurement properties of the modified spinal function Sort (M-SFS): is it reliable and valid in workers with chronic musculoskeletal pain? J Occup Rehabil. 2018;28(2):322–31.

    Article  Google Scholar 

  35. 35.

    Okurowski L, Pransky G, Webster B, Shaw WS, Verma S. Prediction of prolonged work disability in occupational low-back pain based on nurse case management data. J Occup Environ Med. 2003;45(7):763–70.

    Article  Google Scholar 

  36. 36.

    Wong WS, Kwok HY, Luk KD, Chow YF, Mak KH, Tam BK, et al. Fear of movement/(re)injury in Chinese patients with chronic pain: factorial validity of the Chinese version of the Tampa scale for Kinesiophobia. J Rehabil Med. 2010;42(7):620–9.

    Article  Google Scholar 

  37. 37.

    Cheung PWH, Wong CKH, Cheung JPY. Psychometric validation of the cross-culturally adapted traditional Chinese version of the Back beliefs questionnaire (BBQ) and fear-avoidance beliefs questionnaire (FABQ). Eur Spine J. 2018;27(8):1724–33.

    Article  Google Scholar 

  38. 38.

    Rainville J, Smeets RJ, Bendix T, Tveito TH, Poiraudeau S, Indahl AJ. Fear-avoidance beliefs and pain avoidance in low back pain--translating research into clinical practice. Spine J. 2011;11(9):895–903.

    Article  Google Scholar 

  39. 39.

    Bartys S, Frederiksen P, Bendix T, Burton K. System influences on work disability due to low back pain: an international evidence synthesis. Health Policy. 2017;121(8):903–12.

    Article  Google Scholar 

  40. 40.

    Rashid M, Kristofferzon ML, Nilsson A, Heiden M. Factors associated with return to work among people on work absence due to long-term neck or back pain: a narrative systematic review. BMJ Open. 2017;7(6):e014939.

    Article  Google Scholar 

Download references


We would like to acknowledge the multidisciplinary team of therapists who are involved with management of these patients with LBP.


This research was supported by the AOSpine Asia-Pacific regional grant. These funds were used for manpower costs. The funding body had no role in study design, data collection, data analysis, data interpretation or writing of the manuscript.

Author information




GCNL collected and interpreted the data, and drafted the manuscript. PWHC collected and interpreted the data. GL and STL collected the data. KDKL, YWW and KMCC were involved in starting the multidisciplinary programme. PAK managed the patients. JPYC conceived and designed the study, interpreted the data, supervised the study and substantially revised the manuscript. All authors approved the submitted and final versions.

Corresponding author

Correspondence to Jason Pui Yin Cheung.

Ethics declarations

Ethics approval and consent to participate

This study was ethically approved by Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (IRB reference number: UW 15–598). Written informed consent was obtained for all patients. All methods were performed in accordance with the relevant guidelines and regulations.

Consent for publication

Not Applicable.

Competing interests

There are no financial or non-financial competing interests. JPYC is a senior board member of BMC Musculoskeletal Disorders.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Leung, G.C.N., Cheung, P.W.H., Lau, G. et al. Multidisciplinary programme for rehabilitation of chronic low back pain – factors predicting successful return to work. BMC Musculoskelet Disord 22, 251 (2021).

Download citation


  • Low Back pain
  • Return to work
  • Conservative treatment
  • Logistic models
  • Spine