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FP16.8 Biopsychosocial predictors of recovery in a transdisciplinary, digitally-supported care pathway for femoroacetabular impingement syndrome (FAIS)

Year: 2026
Type: conference-abstract
Abstract: ICLA16 - Beyond the Operating Room: Value-Based Healthcare, Large Registries, and Predicting Failures, Auditorium B (BMCC Level 1), October 9, 2026, 14:00 - 16:00 Background Femoroacetabular impingement syndrome (FAIS) is a multifactorial condition in which symptoms are not fully explained by structural abnormalities alone. However, biopsychosocial predictors of recovery within integrated, digitally supported care pathways remain insufficiently understood. Objectives This exploratory study evaluated outcomes of a transdisciplinary conservative care model integrating orthopaedic surgeons, specialised hip physiotherapists, and digital support (HipCloud). It identifies biopsychosocial predictors of recovery in individuals with FAIS undergoing digitally-supported rehabilitation, either exclusively home-based or physiotherapist-supported. Methods A retrospective cohort of 353 individuals with FAIS receiving conservative treatment in a secondary transdisciplinary care setting was analysed. Interventions included digitally-supported education and exercise therapy, and optional corticosteroid injection. Recovery was defined dichotomously and assessed using univariate and multivariate analyses. Independent variables included age, sex, osteoarthritis (OA), the fear-avoidance components scale (FACS), visual analogue scale (VAS), and hip and groin outcome score (HAGOS). Mode of care delivery (physiotherapist-supported versus home-based rehabilitation) was evaluated as a social determinant. Results Overall, 183 individuals (51.8%) improved after 3-6 months of conservative management, including 38 receiving corticosteroid injection. OA was associated with a higher likelihood of surgery (OR 3.59, p<0.001). In multivariate analysis, female sex remained a negative outcome predictor (OR 0.486, p=0.031). After adjustment for OA, the effect of age and weight was no longer statistically significant. Baseline HAGOS (OR 1.058, p<0.001) was the strongest predictor of recovery. Higher baseline FACS and VAS were associated with lower odds of recovery (OR 0.978, p=0.007; OR 0.877, p=0.04, respectively). Subgroup analyses showed larger absolute improvements with physiotherapy-supported care compared to home-based rehabilitation alone for individuals with OA (+12.3% vs -4.8%), higher baseline VAS (+24 vs -0.7%), and higher FACS (+22.7% vs -6.1%). However, differences were not statistically significant, likely due to limited power. Conclusion Conservative management within a transdisciplinary setting leads to meaningful improvements in individuals with FAIS. Baseline function and OA are key predictors of recovery, and vulnerable subgroups may benefit from additional physiotherapy support. These findings highlight the importance of early intervention and potential value of digitally supported transdisciplinary care models. Structured clinical data capture within such models may enable development of predictive tools to guide individualized care pathways.
Language: English
Subfield: Surgery
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,069
OpenAlex ID: W7220463584
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