Rationale: To predict the probability of a positive outcome of interdisciplinary biopsychosocial intervention in individual patients with osteoarthritis (OA), a prediction model is needed.~Research Question/Objective: The overall goal is to develop a clinical prediction model to facilitate decision making in interdisciplinary biopsychosocial rehabilitation in patients with OA. The model will predict the individual probability (in percentage) of a positive response to the treatment (treatment success).~Design: A retrospective cohort design. Setting: A Dutch rehabilitation facility. Participants: Patients with OA diagnosed by a medical specialist and consisting at least three months.~Intervention and procedures: The intervention of interest is interdisciplinary biopsychosocial rehabilitation. The procedures include the development of a clinical prediction model and assessment of its performance and internal validity.~Measurements: Candidate predictors will be carefully selected. The outcome of the model will be treatment success, defined by the change on the Pain Disability Index (PDI). The model will be built with data gathered as part of routine practice.~Expected outcome of the research: The deliverable will be a clinical predication model, which can be used in follow-up research.
The goal of this prospective study is to identify variables that can predict whether an interdisciplinary biopsychosocial intervention for patients with osteoarthritis will be successful.~Using an observational design, patients admitted to this program during the 3-year period (2019-2021) will be included and data gathered during routine clinical practice at baseline and end of treatment of patients who gave informed consent, will be used.~With these data a prediction model will be build and internal validation with bootstrapping will be done.