Predicting the success of multimodal rehabilitation in chronic ankle instability based on patient-reported outcomes

Abstract

Abstract Background The aim of this study was to identify potential indicators to predict the success of multimodal rehabilitation in chronic ankle instability (CAI) patients based on patient-reported outcomes. Methods Sixty patients with self-reported CAI participated. Their demographic information, injury history, and symptoms were recorded. Physical examinations and dynamic posture control tests were performed. The participants underwent sixteen 30-min treatment sessions of multimodal rehabilitation over 8 weeks. Fifty-one patients (85.0%) were available for follow-up after 8 weeks of the intervention. Treatment success was defined based on the participants’ perceived recovery using the global rating of change (GRC). Potential predictor variables were entered into a stepwise logistic regression model to identify variables for the prediction of treatment success. Results Forty of 51 participants (78.4%) were considered to have a successful outcome. Of the variables assessed, time since last sprain ≤ 8 months was a predictor of treatment success (p < 0.05). If a patient met the criteria, there was an 88.03% probability of successful multimodal rehabilitation. Conclusion A time since the last sprain ≤ 8 months may predict successful patient-reported outcomes after multimodal rehabilitation in CAI patients. Level of evidence Prospective study, Level 2.

Keywords

• Chronic ankle instability
• Clinical prediction rules
• Therapeutic intervention