International Journal of Nursing Research

Objective To analyze the impact of a predictive nursing model-based rehabilitation strategy on the prevention and rehabilitation outcomes of lower extremity deep vein thrombosis (DVT) in elderly patients with hip fractures. Methods Elderly hip fracture patients admitted to the orthopedics department of a tertiary hospital from January 2024 to January 2025 were enrolled as the experimental group (n=120), while those admitted from January 2023 to January 2024 served as the control group (n=115). The experimental group received a predictive nursing model centered on prediction, early warning, prevention, and emergency response, incorporating intelligent risk assessment, dynamic monitoring, multidisciplinary collaboration, and standardized process management. The control group received conventional nursing care. Outcomes including DVT incidence, average hospital stay duration, patient knowledge awareness rate, 30-day readmission rate, and patient satisfaction were compared between the two groups. Results The experimental group demonstrated a significantly lower DVT incidence (1.67%) compared to the control group (10.43%), with a shorter average hospital stay (7.12±1.21 days vs. 9.19±1.52 days). Additionally, the experimental group achieved higher patient knowledge awareness rates and satisfaction scores, alongside a lower 30-day readmission rate, with statistically significant differences (P＜0.05). Conclusion The predictive nursing model, through early risk assessment, dynamic monitoring, and multidisciplinary collaboration, effectively reduces DVT incidence, shortens hospital stays, and enhances nursing quality for elderly patients with hip fractures.

Predictive nursing; Hip fracture; Deep vein thrombosis; Rehabilitation strategy; Geriatric care