Patients Generally May Return to Driving 4 Weeks After Hip Arthroscopy and 6 Weeks After Knee Arthroscopy: A Systematic Review and Meta-analysis

Return to driving post upper or lower extremity orthopaedic surgical procedures: a scoping review of current published literature

Patients undergoing planned or unplanned orthopaedic procedures involving their upper or lower extremity can prevent them from safe and timely return to driving, where they commonly ask, 'Doctor, when can I drive?' Driving recommendations after such procedures are varied. The current evidence available is based on a heterogenous data set with varying degrees of sample size and markedly differing study designs. This instructional review article provides a scoping overview of studies looking at return to driving after upper or lower extremity surgery in both trauma and elective settings and, where possible, to provide clinical recommendations for return to driving. Medline, EMBASE, SCOPUS, and Web of Science databases were searched according to a defined search protocol to elicit eligible studies. Articles were included if they reviewed adult drivers who underwent upper or lower extremity orthopaedic procedures, were written in English, and offered recommendations about driving. A total of 68 articles were included in the analysis, with 36 assessing the lower extremity and 37 reviewing the upper extremity. The evidence available from the studies reviewed was of poor methodological quality. There was a lack of adequately powered, high quality, randomised controlled trials (RCTs) with large sample sizes to assess safe return to driving for differing subset of injuries. Many articles provide generic guidelines on return to driving when patients feel safe to perform an emergency stop procedure with adequate steering wheel control. In future, RCTs should be performed to develop definitive return to driving protocols in patients undergoing upper and lower extremity procedures.

Assessment of learning in simulator-based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures

PURPOSE

Virtual arthroscopic training has become increasingly popular. However, there is a lack of efficiency-based tracking of the trainee, which may be critical for determining the specifics of training programs and adapting them for the needs of each trainee. This study aims to evaluate and compare the measures obtained with a non-invasive neurophysiological method with The Diagnostic Arthroscopy Skill Score (DASS), a commonly used assessment tool for evaluating arthroscopic skills.

METHODS

The study collected simulator performance scores, consisting of "Triangulation Right Hand", "Triangulation Left Hand", "Catch the Stars" and "Three Rings" and DASS scores from 22 participants (11 novices, 11 experts). These scores were obtained while participants underwent a structured program of exercises for the fundamentals of arthroscopic surgery training (FAST) and knee module using a simulator-based arthroscopy device. During the evaluation, data on oxy-hemoglobin and deoxy-hemoglobin levels in the prefrontal cortex were collected using the Functional Near-Infrared Spectroscopy (fNIRS) imaging system. Performance scores, DASS scores, and fNIRS data were subsequently analyzed to determine any correlation between performance and cortex activity.

RESULTS

The simulator performance scores and the DASSPart2 scores were significantly higher in the expert group compared to the novice group (200.1 ± 28.5 vs 172.5 ± 48.9, p = 0.04 and 9.4 ± 5.6 vs. 5.4 ± 5.6 p = 0.02). In the expert group, fNIRS data showed a significantly lower prefrontal cortex activation during fundamental tasks in the FAST module, indicating significantly more efficient mental resource use.

CONCLUSION

The analysis of cognitive workload changes during simulation-based arthroscopy training revealed a significant correlation between the trainees' DASS scores and fNIRS data. This correlation suggests the potential use of fNIRS data and DASS scores as additional metrics to create adaptive training protocols for each participant. By incorporating these metrics, the training process can be optimized, leading to more efficient arthroscopic training and better preparedness for clinical operations.

LEVEL OF EVIDENCE

III.