Development and Application of a Clinical Decision Support System for Exercise Rehabilitation in Patients With Osteoporotic Vertebral Compression Fractures
Jiawei Jiang
60 participants
Jan 1, 2024
INTERVENTIONAL
Conditions
Summary
This study aims to develop a clinical decision support system for exercise rehabilitation in patients with osteoporotic vertebral compression fractures, based on evidence-based recommendations for postoperative exercise rehabilitation. The system is designed to provide individualized assessment and exercise interventions, monitor exercise behaviors, and deliver risk alerts, thereby promoting safe and standardized postoperative exercise training in OVCF patients. The ultimate objectives are to evaluate the feasibility and effectiveness of the system in increasing physical exercise participation, reducing sedentary time, and facilitating postoperative rehabilitation, without increasing fatigue or pain.
Eligibility
Inclusion Criteria5
- age between 18 and 55 years
- diagnosis of lumbar disc herniation requiring single-level lumbar fusion surgery - no previous history of lumbar surgery
- Surgical procedures performed by the same surgical team
- willingness to comply with the study protocol and restrictions
- availability of a home WiFi connection
Exclusion Criteria5
- lumbar surgery secondary to neoplasm, tuberculosis, infection, or inflammation
- postoperative infection or revision surgery
- presence of cauda equina syndrome
- diagnosis of schizophrenia, cognitive impairment, or other psychiatric disorders
- coexisting severe cardiovascular or cerebrovascular diseases, or congenital conditions precluding exercise participation.
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
The experimental group first developed the functional modules of the OVCF exercise rehabilitation decision support system. Researchers were trained on participant selection, module use, and task allocation. Participants received operation demonstrations and a QR code for video guidance, then registered accounts and entered data. The system auto-captured baseline indicators, generated individualized exercise prescriptions, and pushed them for staff approval. Before and after each exercise session, patients completed vital signs, pain, and fatigue assessments; the system analyzed these data, generated decision support, and recommended next steps for therapist review. Data management included visualization, click tracking, and identification of low compliance, triggering individual online support. A user group facilitated communication. At follow-ups, osteoporosis clinic staff reviewed personal information and adjusted prescriptions based on exercise experience and outcomes.
All participants were instructed to maintain their usual daily activities and abstain from additional treatments throughout the 6-month study period.
Before discharge, patients received exercise rehabilitation training guidance from orthopedic specialist nurses and rehabilitation therapists and were given a rehabilitation training manual. They were instructed to scan the QR code in the manual to watch exercise training videos. The manual contained information including the goals, methods, frequency, intensity, and precautions of the exercise training.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07623304