Interobserver Variability of the Diagnosis of Scaphoid Proximal Pole Fractures

Surgeon preferences are associated with utilization of telehealth in fracture care

BACKGROUND

The SARS-CoV-2 (COVID-19) pandemic has the potential to evoke lasting changes in the delivery of care, and the utilization of telehealth. We sought associations between surgeon personal factors and greater use of telehealth to treat fractures relative to in-person care.

METHODS

Seventy-five fracture surgeons participated in a survey-based experiment. All surgeons were asked about their preferences regarding remote compared to in-person communication. Participants rated the following items on slider scales: their degree of introversion, the importance of a hands-on/physical exam and surgeon preferences regarding telehealth. We identified factors associated with the use of, and comfort with, telehealth.

RESULTS

The use of telehealth during the pandemic was associated with comfort evaluating wounds via telehealth. A greater proportion of remote visits was associated with comfort evaluating wounds and confidence teaching exercises via telehealth. There was consensus that telehealth did not alter utilization rates of radiographs or offer of discretionary surgery. The use of absorbable sutures to limit in-person visits was associated with a preference for working from home and greater comfort with evaluating wounds remotely. The use of 2- and 6-week post-operative telehealth visits and plans to use telehealth after the pandemic (52%) were associated with greater comfort in evaluating wounds through telehealth and greater confidence with video instruction of exercises.

CONCLUSIONS

The finding that personal factors are associated with utilization of telehealth helps target strategies for increased use of telehealth and other technologies as the pandemic wanes. Given that telehealth adds convenience for people with ambulatory difficulties or in remote areas, such efforts are warranted.

LEVEL OF EVIDENCE

Not applicable.

Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how

Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the 'why'), the current applications (the 'what'), and the approach to unlocking its full potential (the 'how'). Cite this article: Bone Joint J 2022;104-B(8):911-914.

Scaphoid Fracture Patterns-Part Two: Reproducibility and Demographics of a Simplified Scaphoid Fracture Classification

Objective  To analyze the reproducibility, reliability, and demographics of a simplified anatomical scaphoid fracture classification based on posteroanterior radiographs using a large database of scaphoid fractures. Methods  The study consisted of a retrospective review of electronic medical records of 871 consecutive patients. All patients presented between 2003 and 2014 at two centers. Patient- and surgeon-related factors were analyzed. Additionally, interobserver reliability of the Herbert and simplified scaphoid fracture classifications were tested. Results  Proximal pole fractures were defined as fractures in which the center of the fracture line was proximal to the distal scapholunate interval (n = 30), waist fractures (n = 802) were defined as fractures involving the scaphocapitate interval, and distal tubercle fractures (n = 39) were defined as fractures involving the scaphotrapeziotrapezoid (STT) interval. The interobserver reliability of the simplified classification was fair (κ = 0.37) as for the Herbert classification (κ = 0.31). The average doubt of the answers of the observers was 2.1 on a scale from 0 to 10 for the simplified classification and 3.6 for the Herbert classification ( P  < 0.05). Conclusions  All complete fractures across the entire scaphoid distal to the scapholunate articulation and proximal to the STT joint can be classified as waist fractures; nonwaist scaphoid fractures are uncommon (6%) and have somewhat different presentations compared to waist fractures. Simplifying the fracture classification slightly improves interobserver reliability, although remaining fair, and significantly reduces doubt. Level of Evidence  This is a Level III, prognostic study.