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Does the Knowledge of a Non-return to Work Predictive Score Influence Vocational Rehabilitation?

Does the Knowledge of a Non-return to Work Predictive Score Influence Vocational Rehabilitation After Orthopaedic Trauma?

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02396173
Acronym
WORRK
Enrollment
280
Registered
2015-03-24
Start date
2015-03-31
Completion date
2017-12-31
Last updated
2020-01-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pain

Keywords

disability, vocational, rehabilitation, prediction

Brief summary

Background: Orthopaedic trauma are a leading cause of long-lasting sick-leave and persistent disability. People suffering from persistent sick-leave often need vocational rehabilitation (VR). Vocational programs are planned to improve the likelihood of returning to work (RTW). Physical conditioning, professional evaluation and training, as well as psychological and social interventions are the core of the treatments. Efficiency of these programs is moderate and there is scope for improvements. For instance, rehabilitation programs tailored to the individual needs and potentials are called for. However, the allocation remains difficult. Decision-supportive tools may be convenient to achieve this goal. Recently, the WORRK model was proposed to assess early on the risk of non-returning to work for those patients. The main goal of this research is to measure if the WORRK model improves patients' allocation to different vocational programs according to their non-return to work risk.

Detailed description

Methods: Vocational inpatients after orthopaedic trauma (n=280), aged between 18-60 years. Three different vocational pathways can be selected: Simple (for patients with low non-return to work risk, 5 weeks stay), Coaching (intermediate risk, 5 weeks), Evaluation (high risk, 3 weeks). Design: randomized-controlled trial. In the intervention group, the probability not to return to work estimated with the WORRK model will be offered to the clinician team before the allocation decisions. In the control group, the probability will also be estimated but not known by the clinician team. The primary outcome is the proportion of patients allocated to the Evaluation Pathway. Secondary outcomes: the patients' satisfaction is not worse in the intervention group; the decisions makers' satisfaction with the information available for the decision process is better in the intervention group; the proportion of patients changing the treatment pathway during the vocational stay is not higher in the intervention group; and the calibration of the WORRK model remains satisfactory; the non-return to work rate is not higher in the intervention group than in the control group (follow-up at 3, 12, and 24 months); Relevance and impact: The investigators expect that the WORRK model will improve the efficiency of vocational rehabilitation after orthopedic trauma. This will due to better allocation to the vocational pathways according to the patients' risk profile. If this is the case, an increase of the shorter vocational program is expected without jeopardizing the chance of returning to work and the patient satisfaction with quality of care. The ability of the WORRK model to detect patients with similar risk profiles could also strengthen the interest for this decision-supportive tool in clinical practice and trials.

Interventions

OTHERRisk Score for non-return to work

The WORRK tool will be filled in for all patients, even the patients in the control group. However, the probability score will only be accessible for the medical doctors in the intervention group, along with guidelines for interpretation (1. With a probability score over 50% (not to return to work), patient's allocation to the Evaluation Pathway should be considered 2. With a probability score over 70% (not to return to work), the Evaluation Pathway is probably the most suitable choice).

Sponsors

University of Applied Sciences of Western Switzerland
CollaboratorOTHER
Clinique Romande de Readaptation
Lead SponsorNETWORK

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 62 Years
Healthy volunteers
No

Inclusion criteria

* Patients hospitalized for a vocational rehabilitation programme after an orthopaedic trauma

Exclusion criteria

* Severe traumatic brain injury at time of accident (Glasgow coma Scale ≤8) * Spinal Cord Injury * Not capable of judgment * Under legal custody

Design outcomes

Primary

MeasureTime frameDescription
Allocation to the evaluation pathway (proportion of patients allocated to the Evaluation Pathway)10 monthsThe primary outcome in the WORRK study is the proportion of patients allocated to the Evaluation Pathway.

Secondary

MeasureTime frameDescription
Return to work rate24 monthsThe non-return to work rate will be assessed by questionnaire at 3, 12 and 24 months after discharge.
the patients' satisfaction is not worse in the intervention group10 monthsAt discharge patients will fill a questionnaire to assess their satisfaction regarding the treatments received.
the decisions makers' satisfaction with the information available for the decision process is better in the intervention group10 monthsMedical staff will assess efficiency of the intervention through a questionnaire
the proportion of patients changing the treatment pathway during the vocational stay is not higher in the intervention group10 monthsTo assess if patients change their clinical pathway during hospitalization. Is there any differences between the intervention and control groups.
the calibration of the WORRK model remains satisfactory24 monthsWe will perform a new validation of the WORRK model on the population recruited from this study. The performance of the WORRK prediction tool will be assessed with measures for calibration and discrimination. For calibration we will plot the expected against the observed proportion of non-return to work per predicted risk group. Furthermore, we will use the Hosmer-Lemeshow test to define statistical significance of the calibration. For discrimination, we will plot the ROC-curve and calculate Areas under the ROC-curve (AUC). We consider the performance of the WORRL acceptable if there is good calibration (i.e. intercept not statistically different from 0 and slope of 1) and if the AUC is larger than 0.7.

Countries

Switzerland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026