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

NCT02396173 | Completed DMC

• 1 other identifier: CliniqueRR-03
• Study Type: interventional
• Target: 280
• Locations: 1 country
• Sites: 1

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.

Conditions

Pain

Keywords

disability; vocational; rehabilitation; prediction

Outcome Measures

Primary Outcomes (1)

• Allocation to the evaluation pathway (proportion of patients allocated to the Evaluation Pathway)

  The primary outcome in the WORRK study is the proportion of patients allocated to the Evaluation Pathway.

  10 months

Secondary Outcomes (5)

• Return to work rate

  24 months

• the patients' satisfaction is not worse in the intervention group

  10 months

• the decisions makers' satisfaction with the information available for the decision process is better in the intervention group

  10 months

• the proportion of patients changing the treatment pathway during the vocational stay is not higher in the intervention group

  10 months

• the calibration of the WORRK model remains satisfactory

  24 months

Study Arms (2)

Risk Score for non-return to work

EXPERIMENTAL

The WORRK model is a predictive tool (19 items) of the non-return to work risk useful for all kinds of orthopaedic trauma and for patients needing vocational rehabilitation. It is constructed with variables independent of the patient's education and language fluency. It is a short patient's bedside tool and takes less than 20 minutes.

Other: Risk Score for non-return to work

Control group

NO INTERVENTION

In this group the medical staff will not be informed about the risk score (WORRK).

Interventions

Risk Score for non-return to work OTHER

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").

Risk Score for non-return to work

Eligibility Criteria

• Age: 18 Years - 62 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• Clinique Romande de Readaptation: lead
• University of Applied Sciences of Western Switzerland: collaborator

Study Sites (1)

Clinique Romande de Readaptation

Sion, Valais, 1951, Switzerland

Location

Related Publications (1)

• Plomb-Holmes C, Hilfiker R, Leger B, Luthi F. Impact of a non-return-to-work prognostic model (WORRK) on allocation to rehabilitation clinical pathways: A single centre parallel group randomised trial. PLoS One. 2018 Aug 2;13(8):e0201687. doi: 10.1371/journal.pone.0201687. eCollection 2018.

  PMID: 30071081 DERIVED

MeSH Terms

Conditions

Pain

Interventions

Risk Factors

Condition Hierarchy (Ancestors)

Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Risk; Probability; Statistics as Topic; Epidemiologic Methods; Investigative Techniques; Causality; Epidemiologic Factors; Quality of Health Care; Health Care Quality, Access, and Evaluation; Health Care Evaluation Mechanisms; Public Health; Environment and Public Health

Study Officials

• François Luthi, MD

  Clinique Romande de Readaptation

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: TRIPLE
• Who Masked: PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
• Purpose: SCREENING
• Intervention Model: PARALLEL
• Sponsor Type: NETWORK
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Senior lecturer and researcher

Study Record Dates

• First Submitted: March 10, 2015
• First Posted: March 24, 2015
• Study Start: March 1, 2015
• Primary Completion: December 1, 2015
• Study Completion: December 1, 2017
• Last Updated: January 23, 2020

Record last verified: 2020-01

Locations

CH (1)