Scientometric analysis of telerehabilitation services for cerebral palsy patients: A comprehensive review and research trends mapping.

BACKGROUND: Telerehabilitation is used for delivering rehabilitation interventions, assessments, and education remotely by communication technology. The current study aimed to conduct a bibliometric analysis to discover research trends and knowledge mapping of telerehabilitation in patients with cerebral palsy. MATERIALS AND METHODS: This descriptive-analytical study was conducted using a bibliometric analysis. The Web of Science was searched and 1,222 records were retrieved from the beginning to January 2024. The usual bibliometric rules were applied using the VOSviewer software for data processing. Also, this study used the LDA algorithm for topic modeling with Python. RESULTS: The findings indicate that the trend of research in the telerehabilitation of patients with cerebral palsy is continuously increasing. Universities and institutions with high publication volumes are mainly institutions from the United States and Canada. The results demonstrates that the co-authorship network of researchers has an average density. Co-occurrence analysis primarily focuses on subjects such as rehabilitation, children, robots, virtual reality for walking and mobility. This research represents the latest evidence-based insights aimed at not only organizing existing knowledge but also assisting researchers and policymakers in achieving a better understanding of telerehabilitation interventions for cerebral palsy patients. CONCLUSION: According to the findings of this research, both the speed of evolution and diversity in telerehabilitation interventions and the amount of access and utilization of these interventions by cerebral palsy patients is high.