Skip to main content
  • Research article
  • Open access
  • Published:

Prediction model for unsuccessful return to work after hospital-based intervention in low back pain patients



Many studies on low back pain (LBP) have identified prognostic factors, but prediction models for use in secondary health care are not available. The purpose of this cohort study, based on a randomised clinical study, was to identify risk factors for unsuccessful return to work (U-RTW) in sick-listed LBP patients with or without radiculopathy and to validate a prediction model for U-RTW.


325 sick-listed LBP patients with or without radiculopathy were included in an intervention study and followed for one year. Afterwards, 117 other LBP patients were recruited similarly, included in a validation study and also followed for one year. All patients were subjected to identical procedures and interventions and received a brief intervention by the same rehabilitation doctor and physiotherapist. Half of them received case manager guidance within a multidisciplinary setting. At baseline, they completed a questionnaire and went through a clinical low-back examination. Sciatica was investigated by magnetic resonance imaging (MRI). U-RTW was registered in a national database both initially and at 1-year.


Neither initial U-RTW (24.0%) nor one-year U-RTW (38.2%) were statistically significantly different in the two intervention groups nor in patients with and without radiculopathy. Multivariate logistic regression analysis identified two clinical and five psychosocial baseline predictors for one-year U-RTW (primary outcome). The clinical predictors included pain score (back+leg pain) and side-flexion. The five psychosocial predictors included ‘bodily distress’ ‘low expectations of RTW’, ‘blaming the work for pain’, ‘no home ownership’ and ‘drinking alcohol less than once/month’. These predictors were not statistically significantly different in patients with and without radiculopathy, and they also predicted initial U-RTW (secondary outcome). Obesity and older age were only supplementary predictors in patients with radiculopathy. A prediction model was established and tested in the validation study group. The model predicted one-year U-RWT in patients with intermediate and high risk, but only partially in patients with low risk. The model predicted all three risk categories in initial U-RTW.


A prediction model combining baseline clinical and psychosocial risk factors predicted patients with low, intermediate and high risk for unsuccessful return to work, both initially and at 1-year.

Peer Review reports


Risk factors for sick-listed low back pain (LBP) patients’ unsuccessful return to work (U-RTW) have been a focus area in LBP research for many years due to the high costs of sick-listing [14]. In primary care, prediction models for continued pain, disability and sickness absence have been developed and validated [5]. The use of a simple screening questionnaire [6] has made it possible to target intervention at specific subgroups and thereby improve their overall outcome, including sick-listing [7]. However, no prediction models have been successfully validated in secondary care of LBP patients [8].

Pain-related risk factors have been identified in second care of LBP patients, e.g. pain intensity, leg pain, pain duration, high disability and widespread pain [9, 10]. Neurologic findings and restriction of the spinal range of motion have been recognized as risk factors in some studies, but psychosocial risk factors were found to be more important [11, 12]. Psychosocial risk factors may include psychological distress, especially somatisation or depression [13], negative expectations about RTW [4], low job satisfaction [2], no availability of modified job function [14], the belief that work is the only cause of the pain [15], low income [12] and even low alcohol intake [16, 17]. In systematic reviews only a limited number of negative prognostic factors has been consistently identified as risk factors for non-specific LBP outcome [18]. The interplay between clinical and psychosocial risk factors, however, remains insufficiently clarified.

Most studies on risk factors have only included non-specific LBP with or without leg pain, but psychosocial factors have also been shown to affect RTW in patients with radiculopathy [1, 19, 20]. Whether psychosocial factors are more or less important in patients with radiculopathy than in patients with non-specific LBP remains unknown.

RTW may be defined as working continuously for four weeks during the first year [21], working full-time at one year [22], or not being full-time sick-listed at one year [14]. Different measures may produce different rates of RTW which may help explain the different associations found across studies.

In the present study, initial RTW was defined as working full-time at least 4 weeks continuously within the first year, and one-year RTW was defined as working full-time at least 4 weeks up to the one-year date after inclusion. Patients registered as unemployed, but otherwise fit to work, were also considered returned to work. All other patients were considered to be U-RTW. Furthermore, patients with radiculopathy were also included.

The aims of the present study were 1) to study the associations between baseline variables and U-RTW including clinical, psychosocial and life style aspects comparing risk factors in patients with and without radiculopathy; and 2) to establish and validate a prediction model for U-RTW with one-year U-RTW as primary outcome and initial U-RTW as secondary outcome.



A prospective cohort study based on a randomized intervention study with one-year follow-up followed by a similar validation study with one-year follow-up.


The original study group. During the period 2004-2007, general practitioners (GPs) referred 351 patients to the Research Unit of the Spine Centre. Information about the project was communicated to 163 GPs by meetings and letters. Each GP referred a mean of two (range 1-14) patients. At the first visit, all patients received a brief intervention (BI) by a rehabilitation specialist and a physiotherapist and half were randomized for supplementary multidisciplinary intervention (MDI). The interventions have been described in detail elsewhere [23]. In short, all patients had a BI lasting 2-3 hours by a rehabilitation doctor (OKJ) and a physiotherapist. For all patients, a follow-up visit was scheduled at the physiotherapist two weeks later, and a follow-up visit was arranged at the physician for patients needing answers in relation to their test results. In the BI group, the subsequent medical care was managed by the GP who also offered advice on RTW. For patients in the MDI group, a visit was scheduled for an interview with a case manager within two to three working days after the first consultation. The patient and the case manager together made a tailored rehabilitation plan that aimed at full or partial RTW.

Inclusion criteria: Partly or fully sick-listed from work for 4-12 weeks due to LBP with or without radiculopathy, LBP should be the prime reason for sick-listing and at least as bothersome as any possible pain elsewhere, age 16-60 years, referred from a well-defined area counting about 280,000 inhabitants, and the patient should be able to speak and understand Danish.

Exclusion criteria: Registered as unemployed, living outside the referral area, continuing or progressive radiculopathy resulting in plans for surgery, low back surgery within the past year, previous lumbar fusion operation, suspected cauda equina syndrome, progressive paresis or other serious back disease, (e.g. tumour), pregnancy, known dependency on drugs or alcohol or primary psychiatric disease.

Twenty-six of the 351 randomized patients were excluded for the following reasons: metastatic malignancy of the spine (2), osteoporotic fractures (4), spondylolisthesis (6), osteomalacia (2), peripheral arteriosclerosis (2), sacroiliitis (1), severe scoliosis (1), hydronephrosis (1), trochanteric bursitis (1), withdrawing after inclusion (4), 61 years old (1), sudden death during follow-up (1). This left 325 patients for the present study. Self-reported sick-listing was median 41 days, (mean 46 days, range 3-16 weeks). A total of 24 patients were sick-listed for less or more than 4-12 weeks. Eight patients arrived 1-6 days before the four-week date of sick-listing and their consultation could not be postponed. Sixteen patients had their first consultation postponed because of summer holidays.

The validation study group. After recruitment to the original study had closed, a second 12-month study was conducted with identical procedures and interventions, including the same randomization as in the original study. This group was used to test the applicability of the prediction model constructed from the original study. In total, 120 patients were included and followed for one year until July 2009. Three patients were excluded due to spondylolisthesis (2) and psoriatic arthritis (1), which left 117 patients for the validation project, 68 women and 49 men. They were sick-listed for median 44 days (range 25-85 days).

Baseline variables

At inclusion, all patients completed a comprehensive questionnaire showing the low back shaded from the inferior costal margins to the gluteal folds. The questionnaire included items from both validated [5, 2430] and non-validated instruments. These questions as well as the physical examination and imaging are described in Table 1.

Table 1 Characteristics of baseline variables

The patients were classified as having non-specific LBP or radiculopathy on the basis of symptoms, physical examination and magnetic resonance imaging (MRI) findings (Table 1). All patients with radicular symptoms or ‘red flags’ were examined by MRI of the lumbar spine. In the beginning, MRI was only performed on clinical indication resulting in MRI in half of the patients, but MRI was performed in all patients during the last year of inclusion and in the whole validation period. Based on questionnaire answers, the patients with non-specific LBP were subdivided into two groups: patients with or without pain below the knee (Table 1). In the original study group, MRI was performed in 64% of patients with non-specific LBP and in 98% of patients with radiculopathy.

Surgery: Patients with radiculopathy were referred for surgical evaluation if conservative therapy brought no improvement. In the original study group, 31 patients (9.5%) were operated, 9% in the BI and 10% in the MDI group (p=0.85). In the validation study group, 10 patients (8.5%) were operated with no statistically significant difference between the two intervention groups (p=0.195).

Outcome variables

Initial RTW was defined as receiving no social transfer payments except for unemployment benefits continuously for 4 weeks during the first year after inclusion. Initial U-RTW included all other patients. One-year RTW was defined as receiving no social transfer payments except for unemployment benefits during the last 4 weeks up to the one-year-date after inclusion. One-year U-RTW included all other patients and was defined as the primary outcome. Patients were identified in a national database [31] that registers all social transfer payments on a weekly basis. Follow-up was therefore 100%. Social transfer payments comprise compensation benefits for unemployment, sick-listing, job-training, further education, supported job-function and disability pension. Sick-listing for less than two weeks is compensated by the employer and is not registered in this database.

Ethical approval

The trial was discussed with the regional research ethics committee. Approval was not necessary, because all patients received the best available clinical care and no biological material was involved. The study was approved by the Danish Data Protection Agency (No. 2007-41-1278). All patients signed informed consent.


Differences in RTW between the two intervention groups were analysed by Chi2-test, and the t-test was used for comparing baseline pain scores and degrees of side-flexion in the two study groups.

The reliability of the classification of disc degeneration ascertained on X-rays was analysed by Kappa statistics (one observer, two observations, non-weighted, Table 1).

Univariate analyses in the original study group were performed by logistic regression with adjustment for age and sex, first with one-year U-RTW as outcome, afterwards with initial U-RTW as outcome. Furthermore, there was analysed for interaction (effect modification) between patients with and without radiculopathy. Discrete numerical and ordered categorical variables were analyzed for linearity by logodds plots. Subsequently, multivariate analysis was performed by first analysing clinical variables and establishing a clinical multivariate model. Well-known risk factors were included first, marked as ‘w’ in Table 2. Potential risk factors, marked as ‘p’ in Table 2, and all other risk factors were included in turn. Categorical variables were checked by Wald’s test. Collinearity was checked by multiple correlation analysis. A variable was kept in the model if p≤0.05 and excluded if p>0.05, except if this was caused by collinearity. If collinearity between one and another variable was suspected, change of estimates, confidence limits and p-values were evaluated when both variables were included in the model as compared to one variable included. If collinearity was confirmed by this procedure, either the variable in question was excluded from the model if p>0.05 or combined with the other variable. When including a new variable, previously excluded variables were tentatively included again. Effect modification was incorporated into the model. Furthermore, the model was checked by Hosmer and Lemeshow´s goodness-of-fit test. Afterwards, a psychosocial multivariate model was established in a similar way.

Table 2 Baseline variables and logistic regression analyses of univariables

The clinical and psychosocial models were combined by including first one variable from one model, afterwards one variable from the other model, then again another variable from the first model and so on. The same principles were used for keeping and excluding variables and handling collinearity as described above.

Multivariate models for initial U-RTW, which was less frequent than one-year U-RTW, were analyzed and established in a similar way, but fewer variables could be included (maximum of 10 observations per variable).

The statistical package STATA[32] was used, and a significance level of 5%, two-sided, was chosen.


The original study group

Initial RTW was registered in 247 patients (76.0%). The remaining 78 patients (24.0%) were registered as initial U-RTW with no statistically significant difference between the two intervention groups: BI 22.3%, MDI 25.8% (p=0.46).

At one-year follow-up, 58.1% were registered as receiving no social transfer payments, and 3.7% were registered as receiving unemployment benefits. RTW was considered successful in these 201 patients (61.8%). One-year U-RTW included the remaining 38.2% (124 patients, 69 women and 55 men). There was no statistically significant difference between the two intervention groups: BI 35.5%, MDI 40.9% (p=0.32). Seventy-eight of these patients (62.9%) were full-time or part-time sick-listed. The others were in job-training, under further education, retired or had a supported job-function or were receiving disability pension.

Accordingly, 46 patients (18.6% of 247) who were initially registered as RTW were registered as U-RTW at one year.

About one third of the patients had radiculopathy; two thirds had non-specific LBP, half of whom had pain below the knee. Men more often had radiculopathy than women (61 vs. 39%, p=0.001).

The validation study group

Initial RTW was registered in 81 patients (69.2%). The remaining 36 patients (30.8%) were registered as initial U-RTW with no statistically significant difference between the two intervention groups: BI 32.8%, MDI 28.8% (p=0.64).

At one-year follow-up, 49.6% were registered as receiving no social transfer payments, and 3.4% were registered as receiving unemployment benefits. RTW was considered successful in these 62 patients (53.0%). One-year U-RTW included the remaining 47.0% (55 patients, 35 women and 20 men). There was no statistically significant difference between the two intervention groups: BI 50.0%, MDI 44.1% (p=0.52).

Accordingly, 19 patients (23.4% of 81) who were initially registered as RTW were registered as U-RTW at one year.

Clinically, 46 patients (39%) had radiculopathy, which in all patients except one was verified by MRI. One-year U-RTW did not differ between patients with radiculopathy (39%) and patients without (45%), p=0.526. Radiculopathy tended to occur more often in men than in women (47% vs. 34%), p=0.152.

Clinical baseline variables - univariate analyses

The ‘Disability of daily activities’ scores were high (median 16 of 23) as were the pain scores (back+leg pain), mean 32.0 of 60 (5.3 on a 0-10 scale). Half of the patients reported pain lasting for more than three months (Table 2).

No statistically significant differences in one-year U-RTW were observed between patients with and without radiculopathy, but patients with non-specific pain above the knee had lower risk for one-year U-RTW than those with pain below the knee, whether the pain was non-specific or due to radiculopathy (Table 2).

Clinical risk factors associated with one-year U-RTW were the pain scores, use of pain medicine, disability, tender points and side-flexion.

Psychosocial variables associated with one-year U-RTW were ‘fear avoidance’, ‘non-organic signs’, all four types of psychological distress, ‘perceiving general health as bad’, ‘blaming the work for pain’, ‘compensation claim’, ‘low expectations of RTW’, ‘low personal income’, ‘no home ownership’ and ‘drinking alcohol less than once/month’ (Table 2).

Univariate analyses with initial U-RTW as outcome are shown in the Additional file 1: Table S1).

Multivariate analyses

The results of the initial multivariate analyses are only shown in the Additional file.

The clinical model included the pain score and side-flexion and furthermore age and body mass index (BMI) in patients with radiculopathy (effect modification). Disability of daily activities’ did not contribute to the model because of collinearity with the pain score (Additional file 1: Table S2).

The psychosocial model included ‘Bodily distress’, ‘low expectations of RTW’, ‘blaming the work for pain’, ‘drinking alcohol less than once/month’ and ‘fear avoidance’.

The combined clinical and psychosocial model included the pain score and side-flexion, the ‘bodily distress’ variable and 4 dichotomous psychosocial variables: ‘low expectations of RTW’, ‘blaming the work for pain’, ‘no home ownership’ and ‘drinking alcohol less than once/month’ (Additional file 1: Table S2). The pain score and side-flexion were combined to a combination variable. Both variables were normally distributed and were mutually inversely associated with one-year U-RTW as illustrated by Figure 1. In order to create groups with different risk levels based on clinical factors, these two variables were combined in the following way:

Figure 1
figure 1

Percentage with unsuccessful return to work (*RTW) at one year in relation to the pain score (back+leg pain) and side-flexion. The upper panel shows men and women, the lower panel shows patients with and without radiculopathy.

The two variables were dichotomized by using the medians as cut points. The resulting four groups were combined as follows: one low-pain-good-motion group, one low-pain-restricted-motion group, one high-pain-good-motion group and one high-pain-restricted-motion group. The two intermediate groups were combined into one group because they did not differ significantly in terms of risk of one-year U-RTW (p=0.165). Thus, the resulting pain/side-flexion variable had three categories with different risk profiles in relation to one-year U-RTW (Additional file 1: Table S2 and Additional file 1: Table S3).

A final combination variable was constructed to create three equally sized risk groups with as different risk profiles as possible. The candidate variables for the prediction model were the remaining variables from the combined model with one-year U-RTW as outcome: ‘bodily distress’ and the 4 dichotomous variables ‘low expectations of RTW’, ‘blaming the work for pain’, ‘no home ownership’ and ‘drinking alcohol less than once/month’. These variables were combined with the pain/side-flexion variable as shown in Additional file 2: Table S3. The process is further illustrated in the Additional file 1: Table S3 which also shows the logistic regression analysis of the combination variable of the 4 dichotomous risk factors. The OR´s of the four dichotomous risk factors varied from 1.93 to 3.75 (Additional file 1: Table S3) which only corresponded to a small difference in U-RTW of 22% and 30%, respectively. The four risk factors were therefore combined as if they contributed equally.

The final prediction model

The final model was used for predicting both one-year U-RTW and initial U-RTW (Table 3). By using the final combination variable, all combinations of clinical information (pain/side-flexion variable) and psychosocial information were tabulated in relation to risk groups (Table 4). Although the model was derived from the pain/side-flexion model, some of the patients in the ‘low’ risk group had high levels of pain and restricted side-flexion (pain/side-flexion group 3), and some of the patients in the ‘high’ risk group had little pain and no restriction of side-flexion (pain/side-flexion group 1).

Table 3 Multivariate logistic regression analyses resulting in 2 final prediction models
Table 4 Combinations of pain/side-flexion, ‘4 risk factors’ and ‘bodily distress’ in three risk groups

A combination variable with initial U-RTW as outcome developed from the combination variable also shown in Table 3, was not used, because it was no better than the final prediction model at predicting initial U-RTW, and it predicted one-year U-RTW poorly.

Effect modification and adjustment – one-year U-RTW

There was no statistically significant effect modification between the patients with and without radiculopathy for any of the seven predictors included in the final model (not shown), or when analysing the final prediction model (Table 3). The estimates of the seven predictors did not vary when adjusted for intervention group or when the analyses were restricted to patients who were examined by MRI (analyses not shown).

Validation of the prediction model

Expected point estimates of risks with 95% confidence intervals for both U-RTW outcomes were calculated from the two logistic regression analyses in the original study group shown in Table 3. The final combination variable was defined separately in the dataset of the original study group and the validation study group. Afterwards, the observed numbers of patients with one-year U-RTW and initial U-RTW in both study groups were tabulated by use of the final combination variable (Table 5).

Table 5 Validation of prediction model

Expected risks for initial U-RTW were generally lower than for one-year U-RTW, and there were overlap between the three confidence intervals (Table 5). Expected risks in regard to one-year U-RTW were differentiated into three groups with no overlap between confidence intervals. Observed risks for initial U-RTW were in good accordance with expected risks in both the original study group and the validation study group.

In the original study group, observed risk for one-year U-RTW was also in good accordance with expected risks.

In the validation study group, observed risks for one-year U-RTW were within the confidence intervals of the ‘intermediate’ and ‘high’ risk group, but was located above the upper confidence limit of the ‘low risk’ group. The observed ‘low’ risk was still lower than the observed ‘intermediate’ risk (25.9% vs. 38.5%).

In the validation group, the patients reported more total pain, and side-flexion was more restricted than in the original study group: pain score mean 35.25 vs. 31.96 (p=0.014, t-test), side-flexion mean 12.09 vs. 13.66 (p<0.001, t-test). The other predictors were not statistically significantly different in the two study groups.

Small subgroups with increased risk of U-RTW

Due to effect modification, the observed risk for one-year U-RTW in the original study group was high in obese patients with radiculopathy (U-RTW=65.2%, BMI>30, n=23), and it was also high in older patients with radiculopathy (U-RTW=52.4%, age>55, n=21). In the validation study group, the corresponding figures were 41.7% (BMI>30, n=12) and 71.4% (age>55, n=9).

Missing patients in the model (42=15%) had moderately elevated risk for one-year U-RTW. Observed risk for this group was 54.8% and 31.0% for the two U-RTW outcomes, respectively.


Our prediction model could predict the primary outcome, one-year U-RTW, in ‘intermediate’ and ‘high’ risk patients, but with less precision in ‘low’ risk patients. The ‘intermediate’ and ‘high’ risk patients were reliably differentiated from each other, as there was no overlap between the confidence intervals, and the observed numbers were within the confidence limits. The model also predicted initial U-RTW (secondary outcome) well in all three risk groups as the observed numbers were within the confidence limits. Because of overlap between the confidence intervals, only ‘low’ and ‘high’ risk patients could be reliably differentiated from each other in initial U-RTW. The prediction model may be easy to use since only few measures are required to classify a patient: one clinically measured variable (side-flexion) and 6 questionnaire-based items. In addition, BMI and age may have to be considered in patients with radiculopathy.

We believe that this prediction model for secondary-health-care LBP patients is better than the prognostic evaluation used at present. For instance, a back surgeon often consider the results of MRI of the lumbar spine more important than other aspects, a rehabilitation doctor may give priority to ‘yellow flags’ and a specialist of social medicine may focus primarily on social risk factors.

Approximately 20% of the patients registered as initial RTW shifted to U-RTW at one-year follow-up probably indicating sickness relapse. We cannot exclude other reasons for relapse of sick-listing than LBP, but in the original study group most of these patients belonged to the ‘high’ risk group presumably being more at risk for relapse. The percentage relapse of sick-listing was well in accordance with a previous study [22].

Apart from BMI and age, the predictors only included two clinical, four psychosocial and one life style measure. The other variables associated with U-RTW in the univariate analyses did not contribute to the final model, although some are well-known from other studies to be risk factors. This was especially true for ‘fear avoidance’, ‘disability of daily activities’, ‘leg pain’ [19], ‘widespread pain’[17], ‘non-organic signs’[33] and ‘perceived poor general health’. This should not be interpreted as if these other risk factors are not important, but they simply did not contribute as predictors in the model.

In the original study group the percentage with initial RTW was 76%, and the percentage with one-year RTW was 61.8% which corroborates previous studies [22, 34, 35]. RTW was lower in the validation study group (53.0%), maybe because this group suffered from more pain and had more restricted side-flexion than the original study group; but it may also be explained by external factors. We hypothesize that an alternative explanation may be the financial crisis, which also hit Denmark during the spring of 2009.


The disability level of the patients was high as reflected by a RMQ score of mean 15.6 as compared to a mean of 14.4 in the high risk group in the study of Hill et al. using the STarT Back tool to differentiate low, intermediate and high risk [7]. Thus, the patients were not average primary-care-patients, but selected high risk patients. We assume that the high disability was due to selection bias by GPs who were probably inclined to refer suspected high risk patients to secondary health care. The selection bias may also be due to more than 3-4 weeks sick-listing which is associated with increased risk in LBP patients [1]. The normal distribution of pain and side-flexion suggested a systematic bias, and most of the patients of the present study would probably have belonged to the STarT Back high-risk-group.

Pain score

In other studies [14], a ‘high level of disability’ has been identified as a very significant risk factor. We also found a strong association between a ‘high level of disability’ and U-RTW in the univariate analyses. In the multivariate analysis, however, disability did not contribute because of collinearity with the pain score [36]. We believe that the LBP Rating Scale [27] yields a better pain registration than the pain registration used in many other studies. This scale reflects both the intensity of the pain and its location (back and/or leg pain) and covers the preceding 2 weeks. Moreover, in these patients the pain score was also associated with pain and function at one year [36].


Restriction of side-flexion has previously been identified as a risk factor for U-RTW [37, 38]. Restriction of side-flexion may stem from increased muscle stiffness, which has been shown to result from muscle adaptation to pain [39]. It was easily measured like forward flexion (Modified Schober), but forward flexion was not associated with U-RTW.

Psychosocial risk factors

Psychological distress is one of the best documented risk factors for adverse outcome in LBP patients [13, 14, 18]. The questionnaire used in the present study has been well validated [29] and has proven its value in a Danish context [40]. Many of the questions resemble questions of the General Health Questionnaire used in other LBP populations [17]. In the present study, especially the ‘bodily distress’ symptoms were able to predict outcome.

The first two of the four dichotomous predictors may be interpreted as cognitive risk factors: ‘low expectations of recovery’[10, 14, 15, 41] and ‘blaming the work for pain’[41, 42]. Noteworthy, ‘low expectations of recovery’ was the only risk factor identified consistently in a previous systematic review [4].

The predictor, ‘no home ownership’, has not previously been recognized as a risk factor for U-RTW, and this finding therefore has to be confirmed in other studies. However, it is important to bear in mind that the predictors identified do not necessarily represent causal relationships, but may be proxy markers for other risk factors, for instance social vulnerability or socio-economic status. The strength of this association did not change when adjusted for age.

The remaining predictor ‘drinking alcohol less than once/month’ was difficult to explain as a risk factor. However, a low intake of alcohol has been shown to be associated with pain in other studies [43, 44], and also with outcome in LBP patients [16, 17]. The association between pain conditions and low alcohol use might be rooted in other aspects than the purely biological effects of alcohol, for example social factors like previous overuse or parental overuse. Religious or cultural aspects may also be considered; yet, these hypotheses need to be confirmed in future studies.

Older age and obesity in patients with radiculopathy

Older age is a well-established risk factor in non-specific LBP [19]; however, not in all studies [4]. In the present study, it was a predictor especially in patients with radiculopathy.

Obesity is a well-established risk factor in patients with clinically defined sciatica [45]. The dose-response relationship apparently present in this study may point to a mechanical mechanism, but cardiovascular explanations have also been hypothesized [45]. Obesity was not confirmed as a predictor in the validation study, but the subgroups were small. No final conclusion can therefore be drawn regarding this risk factor.

Structural changes related to disc degeneration

Overall, patients with radiculopathy were facing the same risk of U-RTW as patients with non-specific LBP. The disc degeneration score L1-4 measured on X-ray was not associated with the prognosis. This is in accordance with other studies and has been confirmed in MRI studies [4649]. The present study allows no conclusion about L5-S1 disc degeneration as measured on X-ray. In addition, no final conclusion can be drawn in regard to structural findings on MRI. However, in a coming paper we will show how vertebral endplate signal changes, so-called Modic changes, may affect the prognosis.


Sick-listing due to LBP was inclusion criteria in both patients with and without radiculopathy, and the referral from GPs to secondary health care makes the study resemble usual patient care.

Recruitment of the patients and the interventions were unchanged throughout the original and validation study period.

All patients were examined by the same experienced rheumatologist and physiotherapist.

RTW was registered by a national database with 100% follow-up.


The study was planned as a randomised controlled study, but was analyzed as a cohort study. However, there was no difference in RTW between the two intervention groups.

Examination by MRI of the lumbar spine was not performed in all patients, but the predictors were unchanged when the analyses were restricted to patients with MRI performed.

Subgroup analyses showed that the prediction model should be used with caution in patients with possibly increased risk of U-RTW like older or obese patients with radiculopathy.

The model should not be used in the patients with specific low back disorders, who were excluded from this study, or in patients treated with spinal surgery.

Work-place related risk factors have not been included in the present analysis, but analysis of these risk factors has been presented elsewhere [50]. Focus was not specifically heavy physical work which has been shown to be important in an inception cohort study [51]. Accordingly, the model should be used with caution in patients with heavy physical work.

The number of patients in the validation study group was limited, wherefore numbers in the subgroups were small; and missing values in some of the variables may have resulted in underestimation of the risk.

The estimates of the 4 dichotomous variables were different, and the combination variable was formed on the assumption that these risk factors were equally important. However, the maximal difference of estimates only corresponded to modest difference in risk for U-RTW (22% vs. 30%).

The present prediction model was solely based on baseline variables. Other circumstances within the first year after inclusion may have affected U-RTW such as differences in support by the social service centres of the municipalities, changes in the business cycle, surgery in a subset of patients or personal events.


The prediction model may help explain why some patients with a low level of pain and no restriction of their range of motion have a high risk of U-RTW, i.e. because of the presence of many other risk factors, and why some patients with a high level of pain and a restricted range of motion may have a low risk of U-RTW, i.e. because no other risk factors are present. The model hence strengthens our understanding of the interplay between clinical and psychosocial risk factors. It may be hypothesized that the “disease” is LBP manifested as pain in the back/leg and/or restricted motion, which may be complicated by or elicited by structural changes in the spine. Its outcome in terms of U-RTW may then depend on the severity of the “disease” and any accompanying psychosocial risk factors.

Some of the predictors identified are not modifiable, for instance ‘older age, and ‘no home ownership’. Moreover, it is premature to recommend regular alcohol consumption, as the mechanism of this possible risk factor remains unclear. However, RTW may be positively affected by better low-back pain management (improving pain and motion). Furthermore, it is essential to improve care by focusing on interventions that may reduce psychological distress and by modifying the belief that work is the sole cause of pain as well as supporting self-confidence regarding RTW. Finally, weight reduction might improve RTW in patients with radiculopathy.

Identifying subgroups with different prognosis may enable the health care system to differentiate its care: Patients with a good prognosis may need only a brief intervention involving a rehabilitation doctor and physiotherapist, whereas other sick-listed patients may need a more extensive intervention.

We expect this preliminary prediction model to be useful in our setting, but more studies are needed to improve the model.


The prediction model identified low, intermediate and high risk for initial unsuccessful RTW and also identified patients with high and intermediate risk for unsuccessful RTW at one year. Low risk at one year was predicted less precisely.

Both clinical and psychosocial predictors seemed to contribute to the risk for unsuccessful RTW. In the present study the predictors were not significantly different in patients with radiculopathy as compared to patients without, except for age and obesity affecting patients with radiculopathy more.

We advocate use of the prediction model for LBP patients referred to secondary health care because of sick-listing and receiving at least a brief intervention by a rehabilitation doctor and physiotherapist. The model should be used with caution in obese or older patients with radiculopathy and in patients with heavy physical work. Furthermore, the prediction model should not be used in patients with other specific back disorders or in patients treated by spinal surgery.


  1. Waddell G: The Back Pain Revolution. 2004, Edinburgh: Churchill Livingstone, 2

    Google Scholar 

  2. Crook J, Milner R, Schultz IZ, Stringer B: Determinants of occupational disability following a low back injury: a critical review of the literature. J Occup Rehabil. 2002, 12: 277-295. 10.1023/A:1020278708861.

    Article  PubMed  Google Scholar 

  3. Steenstra IA, Verbeek JH, Heymans MW, Bongers PM: Prognostic factors for duration of sick leave in patients sick listed with acute low back pain: a systematic review of the literature. Occup Environ Med. 2005, 62: 851-860. 10.1136/oem.2004.015842.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Kuijer W, Groothoff JW, Brouwer S, Geertzen JH, Dijkstra PU: Prediction of sickness absence in patients with chronic low back pain: a systematic review. J Occup Rehabil. 2006, 16: 439-467.

    PubMed  Google Scholar 

  5. Linton SJ, Boersma K: Early identification of patients at risk of developing a persistent back problem: the predictive validity of the Orebro Musculoskeletal Pain Questionnaire. Clin J Pain. 2003, 19: 80-86. 10.1097/00002508-200303000-00002.

    Article  PubMed  Google Scholar 

  6. Hill JC, Dunn KM, Lewis M, Mullis R, Main CJ, Foster NE: A primary care back pain screening tool: identifying patient subgroups for initial treatment. Arthritis Rheum. 2008, 59: 632-641. 10.1002/art.23563.

    Article  PubMed  Google Scholar 

  7. Hill JC, Whitehurst DG, Lewis M, Bryan S, Dunn KM, Foster NE: Comparison of stratified primary care management for low back pain with current best practice (STarT Back): a randomised controlled trial. Lancet. 2011, 378: 1560-1571. 10.1016/S0140-6736(11)60937-9.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Hayden JA, Dunn KM, van der Windt DA, Shaw WS: What is the prognosis of back pain?. Best Pract Res Clin Rheumatol. 2010, 24: 167-179. 10.1016/j.berh.2009.12.005.

    Article  CAS  PubMed  Google Scholar 

  9. Infante-Rivard C, Lortie M: Prognostic factors for return to work after a first compensated episode of back pain. Occup Environ Med. 1996, 53: 488-494. 10.1136/oem.53.7.488.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Henschke N, Maher CG, Refshauge KM, Herbert RD, Cumming RG, Bleasel J: Prognosis in patients with recent onset low back pain in Australian primary care: inception cohort study. BMJ. 2008, 337: a171-10.1136/bmj.a171.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Burton AK, Tillotson KM, Main CJ, Hollis S: Psychosocial predictors of outcome in acute and subchronic low back trouble. Spine. 1995, 20: 722-728. 10.1097/00007632-199503150-00014.

    Article  CAS  PubMed  Google Scholar 

  12. Indahl A, Haldorsen EH, Holm S, Reikeras O, Ursin H: Five-year follow-up study of a controlled clinical trial using light mobilization and an informative approach to low back pain. Spine. 1998, 23: 2625-2630. 10.1097/00007632-199812010-00018.

    Article  CAS  PubMed  Google Scholar 

  13. Pincus T, Burton AK, Vogel S, Field AP: A systematic review of psychological factors as predictors of chronicity/disability in prospective cohorts of low back pain. Spine. 2002, 27: E109-E120. 10.1097/00007632-200203010-00017.

    Article  PubMed  Google Scholar 

  14. Turner JA, Franklin G, Fulton-Kehoe D, Sheppard L, Stover B, Wu R: ISSLS prize winner: Early predictors of chronic work disability: a prospective, population-based study of workers with back injuries. Spine. 2008, 33: 2809-2818. 10.1097/BRS.0b013e31817df7a7.

    Article  PubMed  Google Scholar 

  15. Schultz IZ, Crook J, Meloche GR, Berkowitz J, Milner R, Zuberbier OA: Psychosocial factors predictive of occupational low back disability: towards development of a return-to-work model. Pain. 2004, 107: 77-85. 10.1016/j.pain.2003.09.019.

    Article  CAS  PubMed  Google Scholar 

  16. Brage S, Sandanger I, Nygard JF: Emotional distress as a predictor for low back disability: a prospective 12-year population-based study. Spine (Phila Pa 1976 ). 2007, 32: 269-274. 10.1097/01.brs.0000251883.20205.26.

    Article  Google Scholar 

  17. Thomas E, Silman AJ, Croft PR, Papageorgiou AC, Jayson MI, Macfarlane GJ: Predicting who develops chronic low back pain in primary care: a prospective study. BMJ. 1999, 318: 1662-1667. 10.1136/bmj.318.7199.1662.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Hayden JA, Chou R, Hogg-Johnson S, Bombardier C: Systematic reviews of low back pain prognosis had variable methods and results: guidance for future prognosis reviews. J Clin Epidemiol. 2009, 62: 781-796. 10.1016/j.jclinepi.2008.09.004.

    Article  CAS  PubMed  Google Scholar 

  19. Hasenbring M, Marienfeld G, Kuhlendahl D, Soyka D: Risk factors of chronicity in lumbar disc patients. A prospective investigation of biologic, psychologic, and social predictors of therapy outcome. Spine. 1994, 19: 2759-2765. 10.1097/00007632-199412150-00004.

    Article  CAS  PubMed  Google Scholar 

  20. Schofferman J, Anderson D, Hines R, Smith G, White A: Childhood psychological trauma correlates with unsuccessful lumbar spine surgery. Spine. 1992, 17: S138-S144. 10.1097/00007632-199206001-00013.

    Article  CAS  PubMed  Google Scholar 

  21. Lambeek LC, van Mechelen W, Knol DL, Loisel P, Anema JR: Randomised controlled trial of integrated care to reduce disability from chronic low back pain in working and private life. BMJ. 2010, 340: c1035-10.1136/bmj.c1035.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Molde HE, Grasdal A, Eriksen HR: Does early intervention with a light mobilization program reduce long-term sick leave for low back pain: a 3-year follow-up study. Spine. 2003, 28: 2309-2315. 10.1097/01.BRS.0000085817.33211.3F.

    Article  Google Scholar 

  23. Jensen C, Jensen OK, Christiansen DH, Nielsen CV: One-year follow-up in employees sick-listed because of low back pain: Randomised clinical trial comparing multidisciplinary and brief intervention. Spine. 2011, 36: 1180-1189. 10.1097/BRS.0b013e3181eba711.

    Article  PubMed  Google Scholar 

  24. Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL: The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum. 1990, 33: 160-172. 10.1002/art.1780330203.

    Article  CAS  PubMed  Google Scholar 

  25. Weiner DK, Distell B, Studenski S, Martinez S, Lomasney L, Bongiorni D: Does radiographic osteoarthritis correlate with flexibility of the lumbar spine?. J Am Geriatr Soc. 1994, 42: 257-263.

    Article  CAS  PubMed  Google Scholar 

  26. Lane NE, Nevitt MC, Genant HK, Hochberg MC: Reliability of new indices of radiographic osteoarthritis of the hand and hip and lumbar disc degeneration. J Rheumatol. 1993, 20: 1911-1918.

    CAS  PubMed  Google Scholar 

  27. Manniche C, Asmussen K, Lauritsen B, Vinterberg H, Kreiner S, Jordan A: Low Back Pain Rating scale: validation of a tool for assessment of low back pain. Pain. 1994, 57: 317-326. 10.1016/0304-3959(94)90007-8.

    Article  CAS  PubMed  Google Scholar 

  28. Albert HB, Jensen AM, Dahl D, Rasmussen MN: Criteria validation of the Roland Morris questionnaire. A Danish translation of the international scale for the assessment of functional level in patients with low back pain and sciatica. Ugeskr Laeger. 2003, 165: 1875-1880.

    PubMed  Google Scholar 

  29. Christensen KS, Fink P, Toft T, Frostholm L, Ornbol E, Olesen F: A brief case-finding questionnaire for common mental disorders: the CMDQ. Fam Pract. 2005, 22: 448-457. 10.1093/fampra/cmi025.

    Article  PubMed  Google Scholar 

  30. IQOLA SF-36 Danish Version 1.1. 1993, Health Assessment Lab and Frederiksborg General Hospital

  31. Hjollund NH, Larsen FB, Andersen JH: Register-based follow-up of social benefits and other transfer payments: accuracy and degree of completeness in a Danish interdepartmental administrative database compared with a population-based survey. Scand J Public Health. 2007, 35: 497-502. 10.1080/14034940701271882.

    Article  PubMed  Google Scholar 

  32. StataCorp: Stata Statistical Software. 2005, College Station, TX: StataCorp LP, 2009-

    Google Scholar 

  33. Waddell G, McCulloch JA, Kummel E, Venner RM: Nonorganic physical signs in low-back pain. Spine. 1980, 5: 117-125. 10.1097/00007632-198003000-00005.

    Article  CAS  PubMed  Google Scholar 

  34. Indahl A, Velund L, Reikeraas O: Good prognosis for low back pain when left untampered. A randomized clinical trial. Spine. 1995, 20: 473-477. 10.1097/00007632-199502001-00011.

    Article  CAS  PubMed  Google Scholar 

  35. Karjalainen K, Malmivaara A, Pohjolainen T, Hurri H, Mutanen P, Rissanen P: Mini-intervention for subacute low back pain: a randomized controlled trial. Spine. 2003, 28: 533-540.

    PubMed  Google Scholar 

  36. Jensen OK, Nielsen CV, Stengaard-Pedersen K: One-year prognosis in sick-listed low back pain patients with and without radiculopathy. Prognostic factors influencing pain and disability. Spine J. 2010, 10: 659-675. 10.1016/j.spinee.2010.03.026.

    Article  PubMed  Google Scholar 

  37. Haldorsen EM, Indahl A, Ursin H: Patients with low back pain not returning to work. A 12-month follow-up study. Spine. 1998, 23: 1202-1207. 10.1097/00007632-199806010-00004.

    Article  CAS  PubMed  Google Scholar 

  38. Klenerman L, Slade PD, Stanley IM, Pennie B, Reilly JP, Atchison LE: The prediction of chronicity in patients with an acute attack of low back pain in a general practice setting. Spine. 1995, 20: 478-484. 10.1097/00007632-199502001-00012.

    Article  CAS  PubMed  Google Scholar 

  39. Hodges PW, Tucker K: Moving differently in pain: A new theory to explain the adaptation to pain. Pain. 2010, 152 (3 Suppl): S90-98.

    PubMed  Google Scholar 

  40. Kasch H, Qerama E, Kongsted A, Bach FW, Bendix T, Jensen TS: The risk assessment score in acute whiplash injury predicts outcome and reflects biopsychosocial factors. Spine (Phila Pa 1976). 2011, 36: S263-S267.

    Article  Google Scholar 

  41. Waddell G, Newton M, Henderson I, Somerville D, Main CJ: A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain. 1993, 52: 157-168. 10.1016/0304-3959(93)90127-B.

    Article  CAS  PubMed  Google Scholar 

  42. Hazard RG, Haugh LD, Reid S, Preble JB, MacDonald L: Early prediction of chronic disability after occupational low back injury. Spine. 1996, 21: 945-951. 10.1097/00007632-199604150-00008.

    Article  CAS  PubMed  Google Scholar 

  43. Rasmussen C: Lumbar disk prolapse. Alcohol, tobacco and prognosis. Ugeskr Laeger. 1998, 160: 5189-5192.

    CAS  PubMed  Google Scholar 

  44. Bergman S, Herrstrom P, Hogstrom K, Petersson IF, Svensson B, Jacobsson LT: Chronic musculoskeletal pain, prevalence rates, and sociodemographic associations in a Swedish population study. J Rheumatol. 2001, 28: 1369-1377.

    CAS  PubMed  Google Scholar 

  45. Shiri R, Karppinen J, Leino-Arjas P, Solovieva S, Varonen H, Kalso E: Cardiovascular and lifestyle risk factors in lumbar radicular pain or clinically defined sciatica: a systematic review. Eur Spine J. 2007, 16: 2043-2054. 10.1007/s00586-007-0362-6.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Savage RA, Whitehouse GH, Roberts N: The relationship between the magnetic resonance imaging appearance of the lumbar spine and low back pain, age and occupation in males. Eur Spine J. 1997, 6: 106-114. 10.1007/BF01358742.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Jarvik JG, Hollingworth W, Heagerty PJ, Haynor DR, Boyko EJ, Deyo RA: Three-year incidence of low back pain in an initially asymptomatic cohort: clinical and imaging risk factors. Spine. 2005, 30: 1541-1548. 10.1097/01.brs.0000167536.60002.87.

    Article  PubMed  Google Scholar 

  48. Boos N, Semmer N, Elfering A, Schade V, Gal I, Zanetti M: Natural history of individuals with asymptomatic disc abnormalities in magnetic resonance imaging: predictors of low back pain-related medical consultation and work incapacity. Spine. 2000, 25: 1484-1492. 10.1097/00007632-200006150-00006.

    Article  CAS  PubMed  Google Scholar 

  49. Carragee EJ, Alamin TF, Miller JL, Carragee JM: Discographic, MRI and psychosocial determinants of low back pain disability and remission: a prospective study in subjects with benign persistent back pain. Spine J. 2005, 5: 24-35. 10.1016/j.spinee.2004.05.250.

    Article  PubMed  Google Scholar 

  50. Stapelfeldt CM, Christiansen CH, Jensen OK, Nielsen CV, Petersen KD, Jensen C: Subgroup analyses on return to work in sick-listed employees with low back pain in a randomised trial comparing brief and multidisciplinary intervention. BMC Musculoskelet Disord. 2011, 12: 112-125. 10.1186/1471-2474-12-112.

    Article  PubMed  PubMed Central  Google Scholar 

  51. McIntosh G, Frank J, Hogg-Johnson S, Bombardier C, Hall H: Prognostic factors for time receiving workers' compensation benefits in a cohort of patients with low back pain. Spine. 2000, 25: 147-157. 10.1097/00007632-200001150-00003.

    Article  CAS  PubMed  Google Scholar 

Pre-publication history

Download references


The study is based on a randomized clinical trial supported by the municipality of Silkeborg, Favrskov, Skanderborg, Denmark, and the Central Denmark Region. The study was also supported by The Danish Working Environment Research Fund (20080016279/3).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Ole Kudsk Jensen.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

OKJ, KS and CVN planned the study. OKJ designed the study in detail and was responsible for clinical care and baseline data. CJ was responsible for acquisition of follow-up data and obtaining funding. OKJ was responsible for analysing and interpreting the data, and he was supervised by teachers at the Department of Biostatics, University of Aarhus. OKJ wrote the manuscript, which was again revised by KS, CVN and CJ. All authors discussed the results and commented on the manuscript. All authors read and approved the final manuscript.

Electronic supplementary material


Additional file 1: Table S1: Baseline variables and logistic regression analyses of univariables. Table S2 Multivariate logistic regression analyses. Table S3 Logistic regression models with one-year U-RTW as outcome. (DOC 143 KB)


Additional file 2: Table S3: Observed numbers of patients with one-year U-RTW1 in three risk group combinations. (DOC 44 KB)

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Jensen, O.K., Stengaard-Pedersen, K., Jensen, C. et al. Prediction model for unsuccessful return to work after hospital-based intervention in low back pain patients. BMC Musculoskelet Disord 14, 140 (2013).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: