Musculoskeletal disorders (MSDs) is the number one cause of years lived with disability andreduced health worldwide. In Norway, every fourth patient in primary care suffers from MSDs. Treatment effects are however modest and knowledge of best practice limited. The SUPPORTPRIM project will address these challenges in two main steps:1) To optimize person-centered care, we will employ innovative methods from artificial intelligence in terms of Case-Based Reasoning to build a clinical decision support system (cDSS ) based on patient data already collected in primary care physiotherapy. Case-Based Reasoning aims to solve new problems based on the solutions to similar problems in the past. In other words, previous MSD cases will be used to help similar cases in the future, just as humans learn from their own experience. We will then assess the efficacy of the cDSS in physiotherapy practice in a randomised controlled trial.2) This effort will be expanded to general practice by implementing The STarT MSK screening Tool as basis for stratified care for MSD patients. The efficacy of the stratified care will be assessed in a randomized controlled trial in general practice. Finally, the cDSS from physiotherapy practice will be extended and adapted to fit general practice. State-of-the-art personalized treatment plans are envisioned to benefit a much larger proportion of MSD patients than a "one-size-fits-all" approach. In addition, SupportPRIM facilitates and emphasizes the co-decision process between the patient and physiotherapist. The innovative approach using artificial intelligence to develop personalised decision support systems are far beyond current state of art, is highly relevant for other patient groups in health care, and can be integrated in future medical record systems.
Project leader: Ottar Vasseljen
Institution: Institutt for samfunnsmedisin og sykepleie