Skip to main content

and
  1. No Access

    Article

    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 tho...

    Victoria Sullivan, Maria N. Wilson in Journal of Occupational Rehabilitation (2022)

  2. Article

    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) approach...

    Douglas P. Gross, Ivan A. Steenstra in Journal of Occupational Rehabilitation (2020)

  3. No Access

    Article

    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 p...

    Douglas P. Gross, Ivan A. Steenstra, William Shaw in Journal of Occupational Rehabilitation (2020)

  4. Article

    Open Access

    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 differ...

    Ivan A. Steenstra, Claire Munhall, Emma Irvin in Journal of Occupational Rehabilitation (2017)

  5. Article

    Open Access

    Clinical Decision Support Tools for Selecting Interventions for Patients with Disabling Musculoskeletal Disorders: A Sco** Review

    Purpose We aimed to identify and inventory clinical decision support (CDS) tools for hel** front-line staff select interventions for patients with musculoskeletal (MSK) disorders. Metho...

    Douglas P. Gross, Susan Armijo-Olivo in Journal of Occupational Rehabilitation (2016)

  6. No Access

    Article

    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 admini...

    Ivan A. Steenstra, Renée-Louise Franche in Journal of Occupational Rehabilitation (2016)

  7. No Access

    Chapter

    Participatory Ergonomics for Return to Work

    Work-related musculoskeletal disorders are problematic worldwide as a leading cause of time-loss injury claims and lost productivity in workplaces. Ergonomics is a science and practice to improve work environm...

    Dwayne Van Eerd, Donald C. Cole, Ivan A. Steenstra in Handbook of Return to Work (2016)

  8. Article

    Open Access

    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 comp...

    Ivan A. Steenstra, Jason W. Busse, David Tolusso in Journal of Occupational Rehabilitation (2015)

  9. No Access

    Article

    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 ...

    Silje Endresen Reme, William S. Shaw in Journal of Occupational Rehabilitation (2012)

  10. No Access

    Article

    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 populat...

    Ivan A. Steenstra, Selahadin A. Ibrahim in Journal of Occupational Rehabilitation (2010)

  11. No Access

    Article

    Economic Evaluation of a Multi-Stage Return to Work Program for Workers on Sick-Leave Due to Low Back Pain

    Objective: To evaluate the cost-effectiveness and cost-utility of a return to work (RTW) program for workers on sick-leave due to low back pain (LBP), comparing a workplace intervention i...

    Ivan A. Steenstra, Johannes R. Anema in Journal of Occupational Rehabilitation (2006)

  12. No Access

    Article

    Prognostic Factors for Duration of Sick Leave Due to Low-Back Pain in Dutch Health Care Professionals

    Background: Information on prognostic factors for duration of sick leave due to low-back pain (LBP) is growing. In this prospective cohort study prognostic factors for duration of sick le...

    Ivan A. Steenstra, Fieke S. Koopman, Dirk L. Knol in Journal of Occupational Rehabilitation (2005)

  13. Article

    Open Access

    Cost effectiveness of a multi-stage return to work program for workers on sick leave due to low back pain, design of a population based controlled trial [ISRCTN60233560]

    To describe the design of a population based randomized controlled trial (RCT), including a cost-effectiveness analysis, comparing participative ergonomics interventions between 2–8 weeks of sick leave and Gra...

    Ivan A Steenstra, Johannes R Anema, Paulien M Bongers in BMC Musculoskeletal Disorders (2003)