Objectives. To assess the clinical and cost-effectiveness of a virtual fracture clinic (VFC) model, and supplement the literature regarding this service as recommended by The National Institute for Health and Care Excellence (NICE) and the British Orthopaedic Association (BOA). Methods. This was a retrospective study including all patients (17 116) referred to fracture clinics in a London District General Hospital from May 2013 to April 2016, using hospital-level data. We used interrupted time series analysis with segmented regression, and direct before-and-after comparison, to study the impact of VFCs introduced in December 2014 on six clinical parameters and on local Clinical Commissioning Group (CCG) spend. Student’s t-tests were used for direct comparison, whilst segmented regression was employed for projection analysis. Results. There were statistically significant reductions in numbers of new patients seen face-to-face (140.4, . sd. 39.6 versus 461.6, . sd. 61.63, p < 0.0001), days to first orthopaedic review (5.2, . sd. 0.66 versus 10.9, . sd. 1.5, p < 0.0001), discharges (33.5, . sd. 3.66 versus 129.2, . sd. 7.36, p < 0.0001) and non-attendees (14.82, . sd. 1.48 versus 60.47, . sd. 2.68, p < 0.0001), in addition to a statistically significant increase in number of patients seen within 72-hours (46.4% 3873 of 8345 versus 5.1% 447 of 8771, p < 0.0001). There was a non-significant increase in consultation time of 1 minute 9 seconds (14 minutes 53 seconds . sd. 106 seconds versus 13 minutes 44 seconds . sd. 128 seconds, p = 0.0878). VFC saved the local CCG £67 385.67 in the first year and is set to save £129 885.67 annually thereafter. Conclusions. We have shown VFCs are clinically and cost-effective, with improvement across several clinical performance parameters and substantial financial savings for CCGs. To our knowledge this is the largest study addressing clinical practice implications of VFCs in England, using robust methodology to adjust for pre-existing trends. Further studies are required to appreciate whether our results are reproducible with local variations in the VFC model and payment tariffs. Cite this article: A. McKirdy, A. M. Imbuldeniya. The clinical and cost effectiveness of a virtual fracture clinic service: An interrupted time series analysis and before-and-after comparison. Bone Joint Res 2017;6:–269. DOI: 10.1302/2046-3758.65.BJR-2017-0330.R1

Objectives. “Virtual fracture clinics” have been reported as a safe and effective alternative to the traditional fracture clinic. Robust protocols are used to identify cases that do not require further review, with the remainder triaged to the most appropriate subspecialist at the optimum time for review. The objective of this study was to perform a “top-down” analysis of the cost effectiveness of this virtual fracture clinic pathway. Methods. National Health Service financial returns relating to our institution were examined for the time period 2009 to 2014 which spanned the service redesign. Results. The total staffing costs rose by 4% over the time period (from £1 744 933 to £1 811 301) compared with a national increase of 16%. The total outpatient department rate of attendance fell by 15% compared with a national fall of 5%. Had our local costs increased in line with the national average, an excess expenditure of £212 705 would have been required for staffing costs. Conclusions. The virtual fracture clinic system was associated with less overall use of staff resources in comparison to national cost data. Adoption of this system nationally may have the potential to achieve significant cost savings. Cite this article: P. J. Jenkins. Fracture clinic redesign reduces the cost of outpatient orthopaedic trauma care. Bone Joint Res 2016;5:33–36. doi: 10.1302/2046-3758.52.2000506

Objectives. We evaluated the accuracy of augmented reality (AR)-based navigation assistance through simulation of bone tumours in a pig femur model. Methods. We developed an AR-based navigation system for bone tumour resection, which could be used on a tablet PC. To simulate a bone tumour in the pig femur, a cortical window was made in the diaphysis and bone cement was inserted. A total of 133 pig femurs were used and tumour resection was simulated with AR-assisted resection (164 resection in 82 femurs, half by an orthropaedic oncology expert and half by an orthopaedic resident) and resection with the conventional method (82 resection in 41 femurs). In the conventional group, resection was performed after measuring the distance from the edge of the condyle to the expected resection margin with a ruler as per routine clinical practice. Results. The mean error of 164 resections in 82 femurs in the AR group was 1.71 mm (0 to 6). The mean error of 82 resections in 41 femurs in the conventional resection group was 2.64 mm (0 to 11) (p < 0.05, one-way analysis of variance). The probabilities of a surgeon obtaining a 10 mm surgical margin with a 3 mm tolerance were 90.2% in AR-assisted resections, and 70.7% in conventional resections. Conclusion. We demonstrated that the accuracy of tumour resection was satisfactory with the help of the AR navigation system, with the tumour shown as a virtual template. In addition, this concept made the navigation system simple and available without additional cost or time. Cite this article: H. S. Cho, Y. K. Park, S. Gupta, C. Yoon, I. Han, H-S. Kim, H. Choi, J. Hong. Augmented reality in bone tumour resection: An experimental study. Bone Joint Res 2017;6:137–143