Clinical prediction model for interdisciplinary biopsychosocial rehabilitation in osteoarthritis patients

Abstract

BACKGROUND: Osteoarthritis (OA) is a heterogenous condition, in which different subgroups are present. Individualized interdisciplinary multimodal pain treatments (IMPT) based on the biopsychosocial model have resulted in positive improvement of pain, health and disability in OApatients. Moreover, predictive factors for treatment success of IMPTin different musculoskeletal pain populations have been examined, but a clinical prediction model which informs whether an OA patient is expected to benefit or not from IMPT is currently lacking. AIM: The aim was to develop and internally validate a clinical prediction model to inform patient-tailored care based on identified predictors for positive or negative outcomes of IMPTin patients with OA. DESIGN: Longitudinal prospective cohort study. SETTING: Center for Integral Rehabilitation at six locations in the Netherlands. POPULATION: Chronic OApatients. METHODS: Data in this study were collected during January 2019 until January 2022. Participants underwent a 10-week IMPTprogram based on the biopsychosocial model. Treatment success was defined by a minimal decrease from baseline of 9 points on the Pain Disability Index (PDI). Candidate predictors were selected by experts in IMPTand literature review. Backward logistic regression analysis was performed to develop the clinical predication model and bootstrap validation was performed for internal validation. RESULTS: Overall, 599 OA patients were included, of which 324 experienced treatment success. Thirty-four variables were identified as possible predictors for good IMPToutcome. Age, gender, number of pain locations, PDIbaseline score, maximal pain severity, use of pain medication and alcohol, work ability, brief illness perceptions questionnaire subscales timeline, consequences, identity and treatment control, pain catastrophizing scale and self-efficacy questionnaire score were found as predictors for treatment success. The internally validated model has an acceptable discriminative power of 0.71. CONCLUSIONS: This study reports a specific clinical prediction model for good outcome of IMPT in patients with OA. The internally validated model has an acceptable discriminative power of 0.71. CLINICALREHABILITATIONIMPACT: After external validation, this model could be used to develop a clinically useful decision tool.