Personalizing rehabilitation for individuals with musculoskeletal impairments: Feasibility of implementation of the Measures Associated to Prognostic (MAPS) tool.

Introduction: The easures ssociated to rognotic (MAPS) tool is a standardized questionnaire that integrates validated prognostic tools to detect the presence of biopsychosocial prognostic factors in patients consulting for musculoskeletal disorders.

Purpose: The objectives were to assess the: 1) feasibility of implementation of the MAPS tool, 2) clinicians' acceptability of the dashboard, and 3) patients' acceptability of the MAPS tool.

Methods: Twenty physiotherapists and two occupational therapists from seven outpatient musculoskeletal clinics were recruited to implement the MAPS tool during a 3-month timeframe, where new patients completed the questionnaire upon initial assessment.

Establishing the prognostic profile of patients with work-related musculoskeletal disorders: Development and acceptability of the MAPS questionnaire.

Purpose: Work-related musculoskeletal disorders (WRMD) are the most common causes of disability worldwide and are associated with significant use of healthcare. One way to optimize the clinical outcomes of injured workers receiving rehabilitation is to identify and address individual prognostic factors (PF), which can facilitate the personalization of the treatment plan. As there is no pragmatic and systematic method to collect prognostic-related data, the purpose of the study was to develop and assess the acceptability of a set of questionnaires to establish the "prognostic profile" of workers with WRMD.

Prognostic factors specific to work-related musculoskeletal disorders: An overview of recent systematic reviews.

Purpose: Work-related injuries affect a considerable number of people each year and represent a significant burden for society. To reduce this burden, optimizing rehabilitation care by integrating prognostic factors (PF) into the clinical decision-making process is a promising way to improve clinical outcomes. The aim of this study was to identify PF specific to work-related musculoskeletal disorders.

Six Externally Validated Prognostic Models Have Potential Clinical Value to Predict Patient Health Outcomes in the Rehabilitation of Musculoskeletal Conditions: A Systematic Review.

Objective: The purpose of this systematic review was to identify and appraise externally validated prognostic models to predict a patient's health outcomes relevant to physical rehabilitation of musculoskeletal (MSK) conditions.

Methods: We systematically reviewed 8 databases and reported our findings according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis 2020. An information specialist designed a search strategy to identify externally validated prognostic models for MSK conditions.

Mastering Prognostic Tools: An Opportunity to Enhance Personalized Care and to Optimize Clinical Outcomes in Physical Therapy.

Unlabelled: In health care, clinical decision making is typically based on diagnostic findings. Rehabilitation clinicians commonly rely on pathoanatomical diagnoses to guide treatment and define prognosis. Targeting prognostic factors is a promising way for rehabilitation clinicians to enhance treatment decision-making processes, personalize rehabilitation approaches, and ultimately improve patient outcomes.