Background: Evidence-based occupational health guidelines recommend that some form of case-management approach, involving getting ‘all players onside’, should be implemented for control of absence due to back pain; this approach has not been formally tested in the UK.

Methods/Results: A quasi-experimental controlled trial was conducted at selected sites of a large pharmaceutical company in the UK. The experimental intervention, delivered by occupational health nurses working to a guidelines-based protocol, was implemented at two manufacturing sites (n=1,435). Three matched sites acted as controls, delivering management as usual (n=1,483). Absence data were collected for both experimental and control sites for the two years prior to, and the two years during, the intervention period.

The intended early contact (within first week) of workers absent with musculoskeletal disorders only occurred at one experimental site; the control sites had no procedure for early contact. Absence rates improved over the four years at the intervention sites compared with the control sites: a decrease of 2.0 v an increase of 0.9 days/1000 working hours. The median return-to-work time for early intervention compared with controls was 4 days v 5 days (P=NS). Considering return-to-work time irrespective of whether the intervention was delivered early or late, the median durations were also 4 days v 5 days (P< 0.05). When looking at work retention over 12 months, the median duration of subsequent absence for early intervention was 5 days compared with 11 days for controls (P=NS). For the larger number of workers receiving a late intervention, the median duration of subsequent absence was median 4 days v 11 days for controls (P< 0.05).

Conclusion: The data consistently favoured a reduction in absence at the experimental sites, but organisational obstacles (black flags) precluded statistically significant results for early intervention. Implementation of certain guidelines principles (a supportive network with ‘all players onside’) can be effective for reducing absence.

Background: The influence of psychosocial factors on absence rates is incompletely understood; much research has been cross-sectional, involving a limited range of psychosocial variables. This paper reports a large prospective study of the relationship between psychosocial factors and absence rates due to low back pain across a multi-site UK pharmaceutical company.

Methods/Results: Baseline data were collected from 4,637 workers, and absence data over the ensuing 15 months were obtained from company records. In addition to demographic and historical variables, a wide range of psychosocial variables was included with a focus on occupational psychosocial factors, termed ‘blue flags’. Validated questionnaires were used to quantify job satisfaction, social support, attribution of cause, control over work, and organisation of work, with psychological distress as a ’yellow flag’. 176 workers took absence due to back pain during follow-up.

Previously defined cut-off scores were used to categorise hypothesised risk; scores beyond the cut-off point were considered detrimental, and the ‘flag’ was considered to be ‘flying’. Odds ratios (OR) were calculated to explore the association between the flags and taking sick leave; a statistically significant association was found with ORs between 1.5 and 2.9. The cut-off scores were then used to compare the length of absence between workers who had zero flags flying and those who had one or more flags flying. Absence over the ensuing 15 months was significantly longer for those people who had one or more flags flying (mean 10.6 days compared with 6.1 days, P< 0.05). There was a trend for longer absence with more flags flying.

Conclusion: This prospective study confirms the influence of blue, as well as yellow, psychosocial flags on both the taking of sick leave and the subsequent length of absence. This supports their hypothesised role as obstacles to recovery that might be suitable targets for occupational health interventions.

Objective: To determine the factor structure of the Coping Strategies Questionnaire (CSQ)¹ in chronic low back pain patients (CLBP) presenting for physiotherapy.

Subjects: CLBP patients presenting for their first assessment at an outpatient physiotherapy department were used (N = 105; 60% male; M age = 41 yrs; SD ± 10).

Design: A factor analysis, using varimax rotation, was performed on patients’ responses to the CSQ. Factors emerging with eigenvalues of ≥1 were considered. A coping strategy was included in a factor if it correlated with the factor at a level greater than 0.6.

Results: Three factors accounted for 70% of the variance in questionnaire responses. Factor 1, labeled Adaptive Coping, accounted for 35% of the variance and comprised the subscales for reinterpreting pain sensations, ignoring pain sensations, and coping self-statements. Factor 2, labeled Maladaptive Coping, accounted for 23% of the variance and comprised the subscales for diverting attention, catastrophizing, praying or hoping, and behavioural coping styles. The final factor, labeled Efficacy of Pain Management, accounted for 12% of the variance and comprised the two single-item scales. Adaptive Coping was positively correlated with Maladaptive Coping (r = 0.37, P < 0.01). Efficacy of Pain Management was positively correlated with Adaptive Coping (r = 0.28, P < 0.01). A non-significant negative correlation was found between Maladaptive Coping and Efficacy of Pain Management (r = −0.03, P > 0.05).

Conclusion: Three underlying factors, labelled Adaptive Coping, Maladaptive Coping, and Efficacy of Pain Management accounted for 70% of the variance in questionnaire responses.

Objective: To determine the extent to which coping strategies mediate chronic low back pain (CLBP) disability in patients presenting for physiotherapy.

Subjects: CLBP patients presenting for their first assessment at an outpatient physiotherapy department were used (N = 90; 60% male; M age = 41 yrs; SD ± 10).

Design: The mediating role of coping strategies was investigated after controlling for the influence of recorded demographics, healthcare variables and pain. Hierarchical multiple regression was employed with disability¹ as the dependent variable. Independent variables were entered in three separate steps. Demographics (sex, age and socioeconomic status) were entered in Step one. Healthcare and Pain variables (leg pain, previous surgery, history of back pain and current pain intensity [VAS]) were entered in Step two. Three coping dimensions (Adaptive Coping, Maladaptive Coping and Efficacy of Pain Management), derived from a factor analysis of the Coping Strategies Questionnaire², were entered in the final Step.

Results: Demographics accounted for 14% of the variance in disability [F (3, 86) = 4.81, P =. 004]. Healthcare and Pain variables accounted for an additional 17% of the variance [F (4, 82) = 5.11, P =. 001]. The three coping dimensions accounted for a further 6% of the variance [F (3, 79) = 2.71, P =. 05]. The model accounted for 38% of the variance in disability [F (10, 79) = 4.81, P =. 000].

Conclusion: Coping did mediate levels of CLBP disability. Moreover, disability is influenced more by Adaptive (Standardised β = −. 26, P =. 02) and Maladaptive (Standardised β =. 27, P =. 02) coping strategies than Efficacy of Pain Management (Standardised β =. 07, P > . 05).

Objective: To implement an early occupational intervention which tackles the psychosocial factors (yellow and blue flags) that influence recovery from occupational back pain.

Design: An early, psychosocial, occupational health nurse-led intervention using a basic ‘counselling’ technique that reinforces evidence-based messages and advice, along with availability of modified work.

Subjects: 206 workers from a sample of Glaxosmithkline sites who took absence due to back pain.

Outcome measures: Duration of presenting absence.

Results: The target for contacting the worker was achieved at Site 1 (mean 3 days), but not Site 2 (mean 12 days). Results showed that late contact of absent workers (> 1 week) was significantly associated with both longer presenting absence and fewer recipients of the psychosocial intervention, compared with early contact. Preliminary results show that the psychosocial intervention (irrespective of early or late contact) reduces the length of presenting absence by half.

Conclusions: The lack of early contact at Site 2 was due to local sickness absence management differences. This study reveals a third class of obstacles to recovery – organisational policies (black flags) – that can negate the effect of occupational rehabilitation programs.

Objective: To assess the psychometric properties of the Tampa Scale for Kinesiophobia (TSK)¹.

Subjects: Eighty-four chronic low back pain (CLBP) patients presenting for their first assessment at an outpatient physiotherapy department were used (57% female; M age = 45 yrs; SD ± 10 yrs).

Design: Eighty-four patients completed the TSK. Internal consistency, item-total correlations, distribution of scores on each item, three-day test-retest reliability and responsiveness were then calculated. To determine responsiveness, patients were categorised into two groups, namely meaningful change in pain-related fear (Group 1) and non-meaningful change in pain-related fear (Group 2). Patients were categorised based on their response to a thirteen-point global rating scale (GRS). Standardised Response Means (SRMs)² were computed for each group.

Results: Internal consistency was excellent (Cronbach α = 0.82). With the exception of items 8 and 16 all item-total correlations exceeded the level of 0.20. Scores were normally distributed for most items, however, items 4, 12 and 14 were positively skewed (Z-scores > 1.96). Test-retest coefficients were high (ICC = 0.91). SRMs were −0.96 and −0.44 for Groups 1 and 2, respectively, thus indicating good discriminatory power. An adapted version of the TSK (MTSK-12), constructed from the twelve most psychometrically robust items, had comparable reliability and validity (Cronbach α = 0.82; ICC = 0.91; SRM [Group 1] = 0.89; SRM [Group 2] = 0.39).

Conclusion: Overall the TSK has excellent psychometric properties. The MTSK-12 is a valid and reliable measure of pain-related fear and warrants further investigation.