In the healthcare setting, real-world data (RWD) could be a useful support to measure the impact of disease-management interventions, in order to create a knowledge base, for the design of effective, efficient and satisfactory healthcare pathways. The present paper aims at investigating the factors affecting patient rehabilitative pathway. Such factors make up the knowledge assets that might influence the design of a patient rehabilitative pathway (in terms of clinical outcomes, patients’ satisfaction and economic resources’ absorption), after the Anterior Cruciate Ligament (ACL) rupture, assuming the hospital wards perspective. For the achievement of the above mentioned objective, a review on the topic is performed for revealing the principal rehabilitative pathway factors, impacting on clinical outcomes, patients’ satisfaction and economic resources’ absorption. An observational study was developed, in two private rehabilitative hospitals in Italy, in order to retrieve RWD with regard to the rehabilitative pathway, thus collecting information from 59 patients, on the factors determined by literature analysis. Patients’ data were analysed considering three methodological approaches. i) Relationships between variables, were investigated to test the existence of correlations among them. ii) A hierarchical sequential linear regression model was implemented to define the predictors of the three dependent variables (clinical outcomes, patients’ satisfaction and economic resources’ absorption). iii) A Qualitative Comparative Analysis – QCA, was implemented, in order to complement previous statistical approaches with a comparative-configurational one. Results of the study would be useful for the optimization of economic resources, as well as for the achievement of an adequate rehabilitative effectiveness, guaranteeing a personalisation of the process, thus becoming more efficient and effective, consistent with cost-containment strategies.