ArticlePloS one2014
Predicting non return to work after orthopaedic trauma: the Wallis Occupational Rehabilitation RisK (WORRK) model.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic Review of Biopsychosocial Prognostic Factors for Return to Work After Acute Orthopedic Trauma: A 2020 Update.Frontiers in rehabilitation sciences · 2021Pooled it
- The socioeconomic impact of orthopaedic trauma: A systematic review and meta-analysis.PloS one · 2020Pooled it
- Trial
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- Content validity testing of the INTERMED Self-Assessment in a sample of adults with rheumatoid arthritis and rheumatology healthcare providers.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Should we separately measure the pain parameter of the Constant-Murley score in patients with chronic shoulder pain?BMC musculoskeletal disorders · 2023Article
- Clinic follow-up of orthopaedic trauma patients during and after the post-surgical global period: a retrospective cohort study.BMC musculoskeletal disorders · 2023Article
- Mastering Prognostic Tools: An Opportunity to Enhance Personalized Care and to Optimize Clinical Outcomes in Physical Therapy.Physical therapy · 2022Article
- Altered BDNF Methylation in Patients with Chronic Musculoskeletal Pain and High Biopsychosocial Complexity.Journal of pain research · 2020Article
- Observational
- A Return-to-Work Prognostic Model for Orthopaedic Trauma Patients (WORRK) Updated for Use at 3, 12 and 24 Months.Journal of occupational rehabilitation · 2017Article
- Researching Complex and Multi-Level Workplace Factors Affecting Disability and Prolonged Sickness Absence.Journal of occupational rehabilitation · 2016Article
- Clinician and Patient-reported Outcomes Are Associated With Psychological Factors in Patients With Chronic Shoulder Pain.Clinical orthopaedics and related research · 2016Article
- Correction: predicting non return to work after orthopaedic trauma: the Wallis occupational rehabilitation risk (WORRK) model.PloS one · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWorkers with persistent disabilities after orthopaedic trauma may need occupational rehabilitation. Despite various risk profiles for non-return-to-work (non-RTW), there is no available predictive model. Moreover, injured workers may have various origins (immigrant workers), which may either affect their return to work or their eligibility for research purposes. The aim of this study was to develop and validate a predictive model that estimates the likelihood of non-RTW after occupational rehabilitation using predictors which do not rely on the worker's background.
methodsProspective cohort study (3177 participants, native (51%) and immigrant workers (49%)) with two samples: a) Development sample with patients from 2004 to 2007 with Full and Reduced Models, b) External validation of the Reduced Model with patients from 2008 to March 2010. We collected patients' data and biopsychosocial complexity with an observer rated interview (INTERMED). Non-RTW was assessed two years after discharge from the rehabilitation. Discrimination was assessed by the area under the receiver operating curve (AUC) and calibration was evaluated with a calibration plot. The model was reduced with random forests.
resultsAt 2 years, the non-RTW status was known for 2462 patients (77.5% of the total sample). The prevalence of non-RTW was 50%. The full model (36 items) and the reduced model (19 items) had acceptable discrimination performance (AUC 0.75, 95% CI 0.72 to 0.78 and 0.74, 95% CI 0.71 to 0.76, respectively) and good calibration. For the validation model, the discrimination performance was acceptable (AUC 0.73; 95% CI 0.70 to 0.77) and calibration was also adequate.
conclusionsNon-RTW may be predicted with a simple model constructed with variables independent of the patient's education and language fluency. This model is useful for all kinds of trauma in order to adjust for case mix and it is applicable to vulnerable populations like immigrant workers.
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