Expectations for Return to Work Predict Return to Work in Workers with Low Back Pain: An Individual Participant Data (IPD) Meta-Analysis.

Purpose Low back pain is associated with disability and lost productivity due to inability of workers to return to work. Personal recovery expectation beliefs may be associated with return to work outcomes in those with low back pain at high risk for chronic disability. We aimed to (1) assess whether workers' expectations for return to work, following a low back pain episode, are associated with subsequent return to work; and (2) explore the relationships between return to work expectations and other prognostic factors in their association with work outcomes.Methods We conducted an Individual Participant Data (IPD) meta-analysis using data from five prospective cohort studies identified by a Cochrane prognostic factor review. A one-stage IPD meta-analysis approach was applied. Multi-level mixed effects models were used to determine the unadjusted and adjusted associations between expectations and return to work (logistic regression) and time to return to work (parametric survival models with Weibull distribution).Results The final dataset included 2302 participants. Positive expectations for return to work were associated with return to work at follow-up in both unadjusted (Odds Ratio (OR) 2.95; 95% Confidence Interval (CI) 2.21, 3.95) (n = 2071) and comprehensively adjusted (OR 2.01; 95% CI 1.46, 2.77) (n = 1109) models. Similar findings were identified for shorter length of time to return to work in both unadjusted (HR 2.40; 95% CI 2.09, 2.75) (n = 1156) and minimally adjusted (HR 2.43; 95% CI 2.12, 2.79) (n = 1154) models.Conclusions Results suggest workers with low expectations for return to work are at increased risk for long-term work disability.

Machine Learning for Work Disability Prevention: Introduction to the Special Series.

Rapid development in computer technology has led to sophisticated methods of analyzing large datasets with the aim of improving human decision making. Artificial Intelligence and Machine Learning (ML) approaches hold tremendous potential for solving complex real-world problems such as those faced by stakeholders attempting to prevent work disability. These techniques are especially appealing in work disability contexts that collect large amounts of data such as workers' compensation settings, insurance companies, large corporations, and health care organizations, among others. However, the approaches require thorough evaluation to determine if they add value to traditional statistical approaches. In this special series of articles, we examine the role and value of ML in the field of work disability prevention and occupational rehabilitation.

Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers' Compensation Claimants with Musculoskeletal Conditions.

Purpose The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions for patients with musculoskeletal disorders. The WATT categorizes patients based on individual characteristics according to likelihood of successful return to work following rehabilitation. A previous validation showed acceptable classification accuracy, but we re-examined accuracy using a new dataset drawn from the same system 2 years later. Methods A population-based cohort design was used, with data extracted from a Canadian compensation database on workers considered for rehabilitation between January 2013 and December 2016. Data were obtained on demographic, clinical, and occupational characteristics, type of rehabilitation undertaken, and return to work outcomes. Analysis included classification accuracy statistics of WATT recommendations. Results The sample included 28,919 workers (mean age 43.9 years, median duration 56 days), of whom 23,124 experienced a positive outcome within 30 days following return to work assessment. Sensitivity of the WATT for selecting successful programs was 0.13 while specificity was 0.87. Overall accuracy was 0.60 while human recommendations were higher at 0.72. Conclusions Overall accuracy of the WATT for selecting successful rehabilitation programs declined in a more recent cohort and proved less accurate than human clinical recommendations. Algorithm revision and further validation is needed.

Larger Workplaces, People-Oriented Culture, and Specific Industry Sectors Are Associated with Co-Occurring Health Protection and Wellness Activities.

Employers are increasingly interested in offering workplace wellness programs in addition to occupational health and safety (OHS) activities to promote worker health, wellbeing, and productivity. Yet, there is a dearth of research on workplace factors that enable the implementation of OHS and wellness to inform the future integration of these activities in Canadian workplaces. This study explored workplace demographic factors associated with the co-implementation of OHS and wellness activities in a heterogenous sample of Canadian workplaces. Using a cross-sectional survey of 1285 workplaces from 2011 to 2014, latent profiles of co-occurrent OHS and wellness activities were identified, and multinomial logistic regression was used to assess associations between workplace demographic factors and the profiles. Most workplaces (84%) demonstrated little co-occurrence of OHS and wellness activities. Highest co-occurrence was associated with large workplaces (odds ratio (OR) = 3.22, 95% confidence interval (CI) = 1.15⁻5.89), in the electrical and utilities sector (OR = 5.57, 95% CI = 2.24⁻8.35), and a high people-oriented culture (OR = 4.70, 95% CI = 1.59⁻5.26). Promoting integrated OHS and wellness approaches in medium to large workplaces, in select industries, and emphasizing a people-oriented culture were found to be important factors for implementing OHS and wellness in Canadian organizations. Informed by these findings, future studies should understand the mechanisms to facilitate the integration of OHS and wellness in workplaces.

Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis.

BACKGROUND: Sickness absence, work disability associated with illness or injury, is a major public health problem worldwide. Some studies have investigated determinants of sickness absence among workers with shorter job tenure, but have only focused on certain diagnostic groups. Although it is well established that job tenure has an inverse relationship with work injury rate, less is known about its association with sickness absence for other disorders. Therefore, this study aimed to investigate the risk factors for incidence and duration of sickness absence according to diagnosis over a 7-year period. A dynamic cohort consisting of all permanent civil servants hired from 2005 to 2011 by the Goiania municipality-Brazil. Data of certified sickness absences longer than 3 days were analyzed. The incidence density was calculated per 1000 person-years in each ICD-10 category. The association between sickness absence and socio-demographic and occupational characteristics was examined using negative binomial regression models. RESULTS: 18,450 workers, mean age of 32 years, accumulated 14,909 episodes of sickness absence. Overall, the incidence density was 234.6 episodes per 1000 person years. Diagnostic groups with the highest incidence density of sickness absences were injuries (49.1), musculoskeletal disorders (31.3) and mental disorders (29.2). Factors predicting any sickness absence were female gender, older age, low education, being a health professional, multiple jobs and full-time employment. Mental health disorders were more common among education professionals, musculoskeletal disorders among blue collar workers and injuries among inspection workers. Prolonged time on sick leave was associated with male gender, older age groups, low education and income, blue-collar workers, more than one job contract and full time employment. CONCLUSIONS: These findings demonstrate a substantial sickness absentee burden and they provide relevant information for targeting prevention and health promotion policies to the most vulnerable occupational groups.

Developing leading indicators from OHS management audit data: Determining the measurement properties of audit data from the field.

INTRODUCTION: OHS management audits are one means of obtaining data that may serve as leading indicators. The measurement properties of such data are therefore important. This study used data from Workwell audit program in Ontario, a Canadian province. The audit instrument consisted of 122 items related to 17 OHS management elements. The study sought answers regarding (a) the ability of audit-based scores to predict workers' compensation claims outcomes, (b) structural characteristics of the data in relation to the organization of the audit instrument, and (c) internal consistency of items within audit elements. METHOD: The sample consisted of audit and claims data from 1240 unique firms that had completed one or two OHS management audits during 2007-2010. Predictors derived from the audit results were used in multivariable negative binomial regression modeling of workers' compensation claims outcomes. Confirmatory factor analyses were used to examine the instrument's structural characteristics. Kuder-Richardson coefficients of internal consistency were calculated for each audit element. RESULTS: The ability of audit scores to predict subsequent claims data could not be established. Factor analysis supported the audit instrument's element-based structure. KR-20 values were high (≥0.83). CONCLUSIONS: The Workwell audit data display structural validity and high internal consistency, but not, to date, construct validity, since the audit scores are generally not predictive of subsequent firm claim experience. Audit scores should not be treated as leading indicators of workplace OHS performance without supporting empirical data. PRACTICAL APPLICATIONS: Analyses of the measurement properties of audit data can inform decisionmakers about the operation of an audit program, possible future directions in audit instrument development, and the appropriate use of audit data. In particular, decision-makers should be cautious in their use of audit scores as leading indicators, in the absence of supporting empirical data.

Systematic Review of Prognostic Factors for Return to Work in Workers with Sub Acute and Chronic Low Back Pain.

Purpose We systematically reviewed the evidence on factors that predict duration of sick leave in workers after 6 weeks low back pain (LBP) related sick leave. We hypothesized that different factors affect the duration of the leave depending on the time away from work. Methods The review occurred in seven phases: (1) developing the central question, (2) conducting the literature search, (3) identifying relevant publications, (4) quality appraisal, (5) data extraction, (6) evidence synthesis, and (7) knowledge translation. We searched for studies that reported episodes of LBP and sick leave that lasted more than 6 weeks. All included studies reported at least one prognostic factor where return to work was the outcome. Results We identified twenty-two relevant publications. The impact of pain, functional status and radiating pain seems to change with duration of work disability. Workers' recovery expectations remain important after 6 weeks. Modified duties are rarely studied in later phases of work disability. Depression/mental health did not appear to be an important factor in later phases. Workplace physical factors remain important. There is insufficient evidence that pain catastrophising and fear avoidance are predictive factors in later phases. There was moderate evidence for age in the later phases. Functional capacity and claim related factors were supported by some evidence. Discusion Physical demands in the workplace are preventing workers from getting back to work in a timely fashion across phases. The psychosocial work environment is understudied in later phases. Overall, we cannot conclude that prognostic factors change over time.

Predictive value of the DASH tool for predicting return to work of injured workers with musculoskeletal disorders of the upper extremity.

OBJECTIVES: To determine whether the Disabilities of the Arm, Shoulder, and Hand (DASH) tool added to the predictive ability of established prognostic factors, including patient demographic and clinical outcomes, to predict return to work (RTW) in injured workers with musculoskeletal (MSK) disorders of the upper extremity. METHODS: A retrospective cohort study using a population-based database from the Workers' Compensation Board of Alberta (WCB-Alberta) that focused on claimants with upper extremity injuries was used. Besides the DASH, potential predictors included demographic, occupational, clinical and health usage variables. Outcome was receipt of compensation benefits after 3 months. To identify RTW predictors, a purposeful logistic modelling strategy was used. A series of receiver operating curve analyses were performed to determine which model provided the best discriminative ability. RESULTS: The sample included 3036 claimants with upper extremity injuries. The final model for predicting RTW included the total DASH score in addition to other established predictors. The area under the curve for this model was 0.77, which is interpreted as fair discrimination. This model was statistically significantly different than the model of established predictors alone (p<0.001). When comparing the DASH total score versus DASH item 23, a non-significant difference was obtained between the models (p=0.34). CONCLUSIONS: The DASH tool together with other established predictors significantly helped predict RTW after 3 months in participants with upper extremity MSK disorders. An appealing result for clinicians and busy researchers is that DASH item 23 has equal predictive ability to the total DASH score.

Clinical Decision Support Tools for Selecting Interventions for Patients with Disabling Musculoskeletal Disorders: A Scoping Review.

Purpose We aimed to identify and inventory clinical decision support (CDS) tools for helping front-line staff select interventions for patients with musculoskeletal (MSK) disorders. Methods We used Arksey and O'Malley's scoping review framework which progresses through five stages: (1) identifying the research question; (2) identifying relevant studies; (3) selecting studies for analysis; (4) charting the data; and (5) collating, summarizing and reporting results. We considered computer-based, and other available tools, such as algorithms, care pathways, rules and models. Since this research crosses multiple disciplines, we searched health care, computing science and business databases. Results Our search resulted in 4605 manuscripts. Titles and abstracts were screened for relevance. The reliability of the screening process was high with an average percentage of agreement of 92.3 %. Of the located articles, 123 were considered relevant. Within this literature, there were 43 CDS tools located. These were classified into 3 main areas: computer-based tools/questionnaires (n = 8, 19 %), treatment algorithms/models (n = 14, 33 %), and clinical prediction rules/classification systems (n = 21, 49 %). Each of these areas and the associated evidence are described. The state of evidentiary support for CDS tools is still preliminary and lacks external validation, head-to-head comparisons, or evidence of generalizability across different populations and settings. Conclusions CDS tools, especially those employing rapidly advancing computer technologies, are under development and of potential interest to health care providers, case management organizations and funders of care. Based on the results of this scoping review, we conclude that these tools, models and systems should be subjected to further validation before they can be recommended for large-scale implementation for managing patients with MSK disorders.

The Added Value of Collecting Information on Pain Experience When Predicting Time on Benefits for Injured Workers with Back Pain.

Objectives Some injured workers with work-related, compensated back pain experience a troubling course in return to work. A prediction tool was developed in an earlier study, using administrative data only. This study explored the added value of worker reported data in identifying those workers with back pain at higher risk of being on benefits for a longer period of time. Methods This was a cohort study of workers with compensated back pain in 2005 in Ontario. Workplace Safety and Insurance Board (WSIB) data was used. As well, we examined the added value of patient-reported prognostic factors obtained from a prospective cohort study. Improvement of model fit was determined by comparing area under the curve (AUC) statistics. The outcome measure was time on benefits during a first workers' compensation claim for back pain. Follow-up was 2 years. Results Among 1442 workers with WSIB data still on full benefits at 4 weeks, 113 were also part of the prospective cohort study. Model fit of an established rule in the smaller dataset of 113 workers was comparable to the fit previously established in the larger dataset. Adding worker rating of pain at baseline improved the rule substantially (AUC = 0.80, 95 % CI 0.68, 0.91 compared to benefit status at 180 days, AUC = 0.88, 95 % CI 0.74, 1.00 compared to benefits status at 360 days). Conclusion Although data routinely collected by workers' compensation boards show some ability to predict prolonged time on benefits, adding information on experienced pain reported by the worker improves the predictive ability of the model from 'fairly good' to 'good'. In this study, a combination of prognostic factors, reported by multiple stakeholders, including the worker, could identify those at high risk of extended duration on disability benefits and in potentially in need of additional support at the individual level.

Predicting time on prolonged benefits for injured workers with acute back pain.

INTRODUCTION: Some workers with work-related compensated back pain (BP) experience a troubling course of disability. Factors associated with delayed recovery among workers with work-related compensated BP were explored. METHODS: This is a cohort study of workers with compensated BP in 2005 in Ontario, Canada. Follow up was 2 years. Data was collected from employers, employees and health-care providers by the Workplace Safety and Insurance Board (WSIB). Exclusion criteria were: (1) no-lost-time claims, (2) >30 days between injury and claim filing, (3) <4 weeks benefits duration, and (4) age >65 years. Using proportional hazard models, we examined the prognostic value of information collected in the first 4 weeks after injury. Outcome measures were time on benefits during the first episode and time until recurrence after the first episode. RESULTS: Of 6,657 workers, 1,442 were still on full benefits after 4 weeks. Our final model containing age, physical demands, opioid prescription, union membership, availability of a return-to-work program, employer doubt about work-relatedness of injury, worker's recovery expectations, participation in a rehabilitation program and communication of functional ability was able to identify prolonged claims to a fair degree [area under the curve (AUC) = .79, 95% confidence interval (CI) .74-.84]. A model containing age, sex, physical demands, opioid prescription and communication of functional ability was less successful at predicting time until recurrence (AUC = .61, 95% CI .57, .65). CONCLUSIONS: Factors contained in information currently collected by the WSIB during the first 4 weeks on benefits can predict prolonged claims, but not recurrent claims.

An efficient strategy allowed English-speaking reviewers to identify foreign-language articles eligible for a systematic review.

OBJECTIVE: To assess English-speaking reviewers' accuracy in determining the eligibility of foreign-language articles for a systematic review. STUDY DESIGN AND SETTINGS: Systematic review of randomized controlled trials of therapy for fibromyalgia. Guided by 10 questions, English-speaking reviewers screened non-English-language articles for eligibility. Teams of two native-language speakers provided reference standard judgments of eligibility. RESULTS: Of 15,466 potentially eligible articles, we retrieved 763 in full text, of which 133 were published in 19 non-English languages; 53 trials published in 11 languages other than English proved eligible. Of the 53 eligible articles, English-language reviewers guided by the 10 questions mistakenly judged 6 as ineligible; of the 80 ineligible articles, 8 were incorrectly judged eligible by English-language reviewers (sensitivity=0.89; specificity=0.90). Use of a simple three-step rule (excluding languages with less than three articles, reviewing titles and abstracts for clear indications of eligibility, and noting the lack of a clearly reported statistical analysis unless the word "random" appears) led to accurate classification of 51 of 53 articles (sensitivity=0.96; specificity=0.70). CONCLUSION: Our findings show promise for limiting the need for non-English-language review teams in systematic reviews with large numbers of potentially eligible non-English-language articles.

Nonoperative treatment for lumbar spinal stenosis with neurogenic claudication.

BACKGROUND: Lumbar spinal stenosis with neurogenic claudication is one of the most commonly diagnosed and treated pathological spinal conditions. It frequently afflicts the elderly population. OBJECTIVES: To systematically review the evidence for the effectiveness of nonoperative treatment of lumbar spinal stenosis with neurogenic claudication. SEARCH METHODS: CENTRAL, MEDLINE, CINAHL, and Index to Chiropractic Literature (ICL) databases were searched up to June 2012. SELECTION CRITERIA: Randomized controlled trials published in English, in which at least one arm provided data on nonoperative treatments DATA COLLECTION AND ANALYSIS: We used the standard methodological procedures expected by The Cochrane Collaboration. Risk of bias in each study was independently assessed by two review authors using the 12 criteria recommended by the Cochrane Back Review Group (Furlan 2009). Dichotomous outcomes were expressed as relative risk, continuous outcomes as mean difference or standardized mean difference; uncertainty was expressed with 95% confidence intervals. If possible a meta-analysis was performed, otherwise results were described qualitatively. GRADE was used to assess the quality of the evidence. MAIN RESULTS: From the 8635 citations screened, 56 full-text articles were assessed and 21 trials (1851 participants) were included. There was very low-quality evidence from six trials that calcitonin is no better than placebo or paracetamol, regardless of mode of administration or outcome assessed. From single small trials, there was low-quality evidence for prostaglandins, and very low-quality evidence for gabapentin or methylcobalamin that they improved walking distance. There was very low-quality evidence from a single trial that epidural steroid injections improved pain, function, and quality of life, up to two weeks, compared with home exercise or inpatient physical therapy. There was low-quality evidence from a single trial that exercise is of short-term benefit for leg pain and function compared with no treatment. There was low and very low-quality evidence from six trials that multimodal nonoperative treatment is less effective than indirect or direct surgical decompression with or without fusion. A meta-analysis of two trials comparing direct decompression with or without fusion to multimodal nonoperative care found no significant difference in function at six months (mean difference (MD) -3.66, 95% CI -10.12 to 2.80) and one year (MD -6.18, 95% CI -15.03 to 2.66), but at 24 months a significant difference was found favouring decompression (MD -4.43, 95% CI -7.91 to -0.96). AUTHORS' CONCLUSIONS: Moderate and high-quality evidence for nonoperative treatment is lacking and thus prohibits recommendations for guiding clinical practice. Given the expected exponential rise in the prevalence of lumbar spinal stenosis with neurogenic claudication, large high-quality trials are urgently needed.

The pain recovery inventory of concerns and expectations: a psychosocial screening instrument to identify intervention needs among patients at elevated risk of back disability.

OBJECTIVE: To reduce a full psychosocial test battery to a brief screening questionnaire to triage return-to-work strategies among patients with low back pain (LBP). METHODS: Workers (N = 496) with acute, work-related LBP completed multiple psychosocial measures at intake, then a 3-month follow-up of pain, function, and work status. A sensitivity analysis was conducted to reduce the number of items while maintaining scale reliability, preserving associations with outcomes, and maintaining separation between patient subgroups. RESULTS: The pool of items was trimmed from 129 to 46 items, describing elements of emotional distress, pain beliefs, organizational support, and activity limitation. A confirmatory cluster analysis replicated previous findings of three risk subgroups: distressed, avoidant, and lacking employer support. CONCLUSIONS: The reduced measure is a reliable and valid screening measure that can be used to identify early intervention needs among working adults with LBP.

Systematic review and network meta-analysis of interventions for fibromyalgia: a protocol.

BACKGROUND: Fibromyalgia is associated with substantial socioeconomic loss and, despite considerable research including numerous randomized controlled trials (RCTs) and systematic reviews, there exists uncertainty regarding what treatments are effective. No review has evaluated all interventional studies for fibromyalgia, which limits attempts to make inferences regarding the relative effectiveness of treatments. METHODS/DESIGN: We will conduct a network meta-analysis of all RCTs evaluating therapies for fibromyalgia to determine which therapies show evidence of effectiveness, and the relative effectiveness of these treatments. We will acquire eligible studies through a systematic search of CINAHL, EMBASE, MEDLINE, AMED, HealthSTAR, PsychINFO, PapersFirst, ProceedingsFirst, and the Cochrane Central Registry of Controlled Trials. Eligible studies will randomly allocate patients presenting with fibromyalgia or a related condition to an intervention or a control. Teams of reviewers will, independently and in duplicate, screen titles and abstracts and complete full text reviews to determine eligibility, and subsequently perform data abstraction and assess risk of bias of eligible trials. We will conduct meta-analyses to establish the effect of all reported therapies on patient-important outcomes when possible. To assess relative effects of treatments, we will construct a random effects model within the Bayesian framework using Markov chain Monte Carlo methods. DISCUSSION: Our review will be the first to evaluate all treatments for fibromyalgia, provide relative effectiveness of treatments, and prioritize patient-important outcomes with a focus on functional gains. Our review will facilitate evidence-based management of patients with fibromyalgia, identify key areas for future research, and provide a framework for conducting large systematic reviews involving indirect comparisons.

A pilot randomised control trial of the effectiveness of a biofeedback mouse in reducing self-reported pain among office workers.

A pilot study examined the effectiveness of a biofeedback mouse in reducing upper extremity pain and discomfort in office workers; in addition, relative mouse use (RMU), satisfaction and the feasibility of running a randomised controlled trial (RCT) in a workplace setting were evaluated. The mouse would gently vibrate if the hand was idle for more than 12 s. The feedback reminded users to rest the arm in neutral, supported postures. Analysis showed a statistically significant reduction in shoulder pain and discomfort for the intervention group at T2 (38.7% lower than controls). Statistically significant differences in RMU time between groups were seen post intervention (-7% at T1 and +15% at T2 for the intervention group). Fifty-five percent of the intervention group was willing to continue using the mouse. It appears feasible to perform an RCT for this type of intervention in a workplace setting. Further study including more participants is suggested. PRACTITIONER SUMMARY: The study findings support the feasibility of conducting randomised control trials in office settings to evaluate ergonomics interventions. The intervention resulted in reduced pain and discomfort in the shoulder. The intervention could be a relevant tool in the reduction of upper extremity musculoskeletal disorder. Further research will better explain the study's preliminary findings.

Distressed, immobilized, or lacking employer support? A sub-classification of acute work-related low back pain.

INTRODUCTION: One possibility for reducing the disabling effects of low back pain (LBP) is to identify subgroups of patients who might benefit from different disability prevention strategies. The aim of this study was to test the ability to discern meaningful patient clusters for early intervention based on self-reported concerns and expectations at the time of an initial medical evaluation. METHODS: Workers seeking an initial evaluation for acute, work-related LBP (N = 496; 58 % male) completed self-report measures comprising of 11 possible risk factors for chronicity of pain and disability. Outcomes of pain, function, and return-to-work were assessed at 3-month follow-up. A K-means cluster analysis was used to derive patient subgroups based on risk factor patterns, and then these subgroups were compared with respect to 3-month outcomes. RESULTS: Eight of the 11 measures showed significant associations with functional recovery and return-to-work, and these were entered into the cluster analysis. A 4-cluster solution met criteria for cluster separation and interpretability, and the four clusters were labeled: (a) minimal risk (29 %), (b) workplace concerns (26 %); (c) activity limitations (27 %); and (d) emotional distress (19 %). Functional outcomes were best in the minimal risk group, poorest in the emotional distress group, and intermediate in the other two groups. A global severity index at baseline also showed highest overall risk in the emotional distressed group. CONCLUSIONS: Patterns of early disability risk factors from this study suggest patients have differential needs with respect to overcoming emotional distress, resuming normal activity, and obtaining workplace support. Classifying patients in this manner may improve the cost-benefit of early intervention strategies to prevent long-term sickness absence and disability due to LBP.

Nonoperative treatment of lumbar spinal stenosis with neurogenic claudication: a systematic review.

STUDY DESIGN: Systematic review. OBJECTIVE: To systematically review the evidence for the effectiveness of nonoperative treatment of lumbar spinal stenosis with neurogenic claudication. SUMMARY OF BACKGROUND DATA: Neurogenic claudication can significantly impact functional ability, quality of life, and independence in the elderly. METHODS.: We searched CENTRAL, MEDLINE, EMBASE, CINAHL, and ICL databases up to January 2011 for randomized controlled trials published in English, in which at least 1 arm provided data on nonoperative treatments. Risk of bias in each study was independently assessed by 2 reviewers using 12 criteria. Quality of the evidence was evaluated using Grades of Recommendations, Assessment, Development, and Evaluation (GRADE). RESULTS: From the 8635 citations screened, 56 were assessed and 21 trials with 1851 participants were selected. There is very low-quality evidence from 6 trials that calcitonin is no better than placebo or paracetamol, regardless of mode of administration or outcome. From single small trials, there is low-quality evidence that prostaglandins, and very low-quality evidence that gabapentin or methylcobalamin, improve walking distance. There is very low-quality evidence from a single trial that epidural steroid injections improve pain, function, and quality of life up to 2 weeks compared with home exercise or inpatient physical therapy. There is low-quality evidence from a single trial that exercise is of short-term benefit for leg pain and function compared with no treatment. There is low- and very low-quality evidence from 6 trials that multimodal nonoperative treatment is less effective than indirect or direct surgical decompression with or without fusion. CONCLUSION: Moderate- and high-GRADE evidence for nonoperative treatment is lacking and thus prohibiting recommendations to guide clinical practice. Given the expected exponential rise in the prevalence of lumbar spinal stenosis with neurogenic claudication, large high-quality trials are urgently needed.

Incidence of work and non-work related disability claims in Brazil.

BACKGROUND: Sickness benefit claims are an important economic burden to society. This study aims to determine the incidence of sickness benefit claims in Brazil in 2008, exploring the role of economic activity. METHODS: Population-based study on sickness claims lasting longer than 15 days of sickness absence granted to private sector employees. Data on gender, age, economic activity, diagnosis, and work-relatedness were collected. RESULTS: The annual incidence of sickness benefits was 421.8/10,000 jobs, 435.4 for males and 452.0 for females. There were 3.5 times more non-work-related than work-related claims. The main diagnoses were injuries, musculoskeletal disorders, and mental disorders. Rates increased with age up to 59 years. Economic activity 37-Sewage had the highest incidence of non-work-related and work-related claims. CONCLUSION: The incidence of sickness benefits is higher among female and older workers. Economic activities show great variability of sickness benefit rates, work-relatedness, diagnostic categories, and gender.

Validation of a risk factor-based intervention strategy model using data from the readiness for return to work cohort study.

BACKGROUND: Low back pain (LBP) is a common and in some cases disabling condition. Until recently, workers presenting with non-specific LBP have generally been regarded as a homogeneous population. If this population is not homogeneous, different interventions might be appropriate for different subgroups. We hypothesized that (1) Clusters of individuals could be identified based on risk factors, (2) These clusters would predict duration and recurrences 6 months post-injury. METHODS: The study focuses on the 442 LBP claimants in the Readiness for Return-to-Work Cohort Study. Claimants (n = 259) who had already returned to work, approximately 1 month post-injury were categorized as the low risk group. A latent class analysis was performed on 183 workers absent from work, categorized as the high risk group. Groups were classified based on: pain, disability, fear avoidance beliefs, physical demands, people-oriented culture and disability management practice at the workplace, and depressive symptoms. RESULTS: Three classes were identified; (1) workers with 'workplace issues', (2) workers with a 'no workplace issues, but back pain', and (3) workers having 'multiple issues' (the most negative values on every scale, notably depressive symptoms). Classes 2 and 3 had a similar rate of return to work, both worse than the rate of class 1. Return-to-work status and recurrences at 6 months were similar in all 3 groups. CONCLUSION: This study largely confirms that several subgroups could be identified based on previously defined risk factors as suggested by an earlier theoretical model by Shaw et al. (J Occup Rehab 16(4):591-605, 2006). Different groups of workers might be identified and might benefit from different interventions.