International Journal of Drug Delivery Technology · Oct 21, 2026
Predictors of Functional Recovery Following Bone Fractures: A Comparative Secondary Database Study
Background: Bone fractures are a major cause of morbidity, disability, and reduced quality of life worldwide.Although advances in surgical techniques and rehabilitation have improved fracture management, functional recovery remains highly variable among patients.Numerous patient-related, fracture-related, treatment-related, and psychosocial factors influence recovery, making early prognostication essential for individualized management and rehabilitation planning.While substantial evidence exists for specific fracture types, particularly hip fractures, a comprehensive synthesis of predictors of functional recovery across different anatomical sites is lacking.Objective: To comprehensively review the current evidence on predictors of functional recovery following bone fractures and to summarize patient-related, fracture-related, treatment-related, rehabilitation-related, and psychosocial factors associated with functional outcomes. Methods:A narrative review of the published literature was conducted using peer-reviewed articles indexed in major biomedical databases, including PubMed/MEDLINE, Scopus, Embase, and Google Scholar.Original research articles, systematic reviews, meta-analyses, clinical practice guidelines, and observational studies evaluating predictors of functional recovery following bone fractures were considered.Studies involving adult patients with fractures of the upper limb, lower limb, pelvis, and vertebral column were reviewed.Evidence was synthesized according to major domains influencing recovery. Results:Current evidence consistently demonstrates that functional recovery after bone fractures is multifactorial.Advanced age, frailty, cognitive impairment, diabetes mellitus, osteoporosis, malnutrition, sarcopenia, and multiple comorbidities are associated with poorer outcomes.Fracture characteristics, including anatomical location, fracture severity, open injuries, intra-articular involvement, and associated soft-tissue damage, significantly influence recovery.Early surgical intervention, stable fixation, prompt mobilization, structured rehabilitation, adequate pain management, and multidisciplinary care improve functional outcomes.Psychosocial factors, including depression, social support, socioeconomic status, and adherence to rehabilitation, also contribute substantially to recovery.Functional assessment tools such as the Lower Extremity Functional Scale (LEFS), Disabilities of the Arm, Shoulder and Hand (DASH) score, Harris Hip Score, Oxford Knee Score, and Short Form-36 (SF-36) are widely used to evaluate recovery.Emerging evidence suggests that predictive models incorporating clinical variables, imaging findings, biomarkers, and machine learning techniques may improve individualized prognostication. Conclusion:Functional recovery following bone fractures is determined by the interaction of demographic, biological, clinical, psychosocial, and treatment-related factors.Early identification of patients at risk of poor recovery facilitates individualized treatment strategies, optimized rehabilitation, and improved long-term outcomes.Future prospective multicenter studies should focus on developing validated prediction models applicable across different fracture types to support evidence-based clinical decision-making.