Abstract

BackgroundMusculoskeletal pain is globally a leading cause of physical disability. Many musculoskeletal-related pain conditions, such as low back pain, often resolve spontaneously. In some individuals, pain may recur or persist, leading to ong-term physical disability, reduced work capacity, and sickness absence. Early identification of individuals in which this may occur, is essential for preventing or reducing the risk of developing persistent musculoskeletal pain and long-term sickness absence. The aim of the trial described in this protocol is to evaluate effects of an early intervention, the PREVSAM model, on the prevention of sickness absence and development of persistent pain in at-risk patients with musculoskeletal pain.MethodsEligible participants are adults who seek health care for musculoskeletal pain and who are at risk of developing persistent pain, physical disability, and sickness absence. Participants may be recruited from primary care rehabilitation centres or primary care healthcare centres in Region Västra Götaland. Participants will be randomised to treatment according to the PREVSAM model (intervention group) or treatment as usual (control group). The PREVSAM model comprises an interdisciplinary, person-centred rehabilitation programme, including coordinated measures within primary health care, and may include collaboration with participants’ employers. The primary outcome sickness absence is operationalised as the number and proportion of individuals who remain in full- or part-time work, the number of gross and net days of sickness absence during the intervention and follow-up period, and time to first sickness absence spell. Secondary outcomes are patient-reported short-term sickness absence, work ability, pain, self-efficacy, health-related quality of life, risk for sickness absence, anxiety and depression symptoms and physical disability at 1 and 3 months after inclusion (short-term follow-up), and at 6 and 12 months (long-term follow-up). A cost-effectiveness analysis is planned and drug consumption will be investigated.DiscussionThe study is expected to provide new knowledge on the effectiveness of a comprehensive rehabilitation model that incorporates early identification of patients with musculoskeletal pain at risk for development of sickness absence and persistent pain. The study findings may contribute to more effective rehabilitation processes of this large patient population, and potentially reduce sickness absence and costs.Trial registrationClinicalTrials.gov Protocol ID: NCT03913325, Registered April 12, 2019.Version 2, 10 July 2020.Version 2 changes: Clarifications regarding trial aim and inclusion process.

Highlights

  • Musculoskeletal pain is globally a leading cause of physical disability

  • The study findings may contribute to more effective rehabilitation processes of this large patient population, and potentially reduce sickness absence and costs

  • This randomised controlled trial will evaluate the effects of a new rehabilitation model that comprises interdisciplinary, person-centred interventions for individuals with musculoskeletal pain who are at risk for persistent pain, physical disability and sick leave

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Summary

Methods

This randomised controlled trial has been registered with ClinicalTrials.gov, Protocol ID: NCT03913325, initial release 12/04/2019. Sickness absence was chosen as primary outcome because it is a frequent consequence of musculoskeletal pain, and it is of relevance for both the individual, the employer and society to measure and target this outcome when testing and implementing a new rehabilitation model for this patient group. Patient-reported risk for sickness absence The ÖMPSQ-SF will be used primarily as a screening instrument for the planned study [26], and as an outcome measure for changed risk (proportion lowering their risk by scoring < 40 p at follow-up). To detect a difference of 15% (30% with sickness absence in control group and 15% with sickness absence in intervention group), a total sample size of 264 (132 individuals in each group) would give approximately 80 cases to analyse for the primary outcome sick days This would enable us to estimate 8 parameters in a logistic regression analysis. Since the planned study focuses on collaboration both within health care and with employers and the SSIA, communication strategies targeting these stakeholders will be developed

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