Transferring patient data to the care of the oncoming team is the point at which the patient is most vulnerable on their journey through the healthcare system. Effective handover is vital to protect patient safety and has become increasingly more important after introduction of shift patterns for junior doctors following the implementation of the European Working Time Directive. The aim was to assess whether the introduction of a standardised proforma and traffic light system, would improve weekend handover of patients in our orthopaedic unit. Data was collected in the form of hand written data, for 3 months, in our department. This was analysed and a standardised handover sheet and traffic light system to highlight patient priority was introduced. Following a 1 week trial, the proformas were reviewed following feedback from colleagues. A re-audit was commenced and data collected for a further 2 months. There were 108 patients handed over on weekends during the re-audit compared to the 126 in the initial audit. The handover of patient data improved across all areas, with the most improved areas in recording the patients' diagnosis (58.4% to 94.4%) and noting the results of significant or pending investigations (61.2% to 91.7%). The traffic light system improved recording the patient's condition (8.5% to 81.5%) as well as logging the urgency or frequency of patient review (25.9% to 96.8%). Standardised proformas improve patient data transferred at handover and the traffic light system allows improved prioritisation of patients, thus improving patient safety at weekends

Background

A large number of Tendo-Achilles (TA) injuries occur during sporting activity. Typically occurring in males aged 30–50, whom occasionally undertake sporting activities, the so called ‘weekend warriors’.

Abstract. Background. Alcohol has been associated with up to 40% trauma-related deaths globally. In response to the Covid-19 pandemic, the United Kingdom (UK) entered a state of ‘lockdown’ on 23. rd. March 2020. Restrictions were most significantly eased on 1. st. June 2020, when shops and schools re-opened. This study aimed to quantify the effect of lockdown on trauma admissions specifically regarding alcohol-related trauma. Methods. All adult patients admitted as ‘trauma calls’ to a London Major Trauma Centre (MTC) during April 2018 and April 2019 (pre-lockdown; N=316), and 1. st. April – 31. st. May 2020 (lockdown; N=191) had electronic patient records (EPR) analysed. Patients’ blood alcohol level (BAC) combined with records of intoxication were used to identify alcohol-related trauma. Multiple regression analyses were performed to compare pre- and post-lockdown alcohol-related trauma admissions. Results. Alcohol-related trauma was present in a significantly higher proportion of adult trauma calls during lockdown (lockdown 60/191 (31.4%), versus pre-lockdown 62/316 (19.6%); Odds Ratio (OR 0.83, 95% CI 0.38 to 1.28, p<0.001). Lockdown was also associated with increased weekend admissions of trauma (lockdown 125/191 weekend (65.5%) vs pre-lockdown 179/316 (56.7%); OR -0.40, 95% CI -0.79 to -0.02, p=0.041). No significant difference existed between the age, gender, or mechanism between pre-lockdown and lockdown cohorts (p>0.05). Conclusion. UK lockdown was independently associated with an increased proportion of alcohol-related trauma. Furthermore, trauma admissions were increased during the weekend when staffing levels are reduced. With the possibility of multiple global ‘waves’ of Covid-19, the risk of long-term repercussions of dangerous alcohol-related behaviour must be addressed

Intimate partner violence (IPV) causes significant morbidity and its unlikely to be reported compared to other forms of gender-based violence (GBV). For early detection, understanding Orthopaedic injuries from GBV is vital. This study assesses the pattern of musculoskeletal injuries from GBV and determines the factors associated with it. It is a retrospective observational study of patients aged ≥18 years, with GBV-related acute Orthopaedic injuries. Data was reviewed from January 2021 to December 2021, including, demographic information, soft tissue and bony injuries, relationship to assailant, substance abuse and the day and time of injury. Frequencies and percentages for categorical data were analysed. Chi-square test was used to calculate association. T-test was used to compare groups for continuous & categorical variables. Multivariate analysis was conducted to find the odds ratio and a p-value <0.05 was statistically significant. 138 patients were included, the mean age at presentation being 35.02 years (SD=11). 92.75% of GBV victims were females. Most were unemployed (66.7%). 30.43% (n-42) had a soft tissue injury; superficial laceration being the most common (23.1%), flexor tendon injury (10.87%), hand abscess (5.8%), and extensor tendon injury (5.07%). 71.02 % (n=98) sustained appendicular fractures. 51.45% (n=71) sustained upper limb fractures; distal radius fractures (10.86%) and distal 3rd ulnar fractures (9,42%). 19.57% (n=27) had lower limb fractures; 7.25% (n=10) had lateral malleolus ankle fractures. 63.7% (n=80) of cases were by an intimate partner on weekends (50.73%). 62.31% occurred between 16h00 and 0h00. 41.1% (n=65) reported alcohol abuse. 63.04% had surgery. GBV likely occurs in early middle-aged females by intimate partners influenced by alcohol over the weekends between 16h00 to 0h00. Distal radius/distal 3rd ulnar fractures are the most common bony injuries. Superficial wrist laceration is the commonest soft tissue injury. These findings may assist with early detection and intervention to prevent adverse outcomes in GBV

Trauma, across the United Kingdom, is managed using several software, paper based lists on Microsoft Word/Excel or Teams. There is usually poor handover or no handover in a standard format- during the on call, in the trauma meetings or in the wards. The software in the market for trauma management are not cost friendly or adaptable to local demands. The alternatives like Microsoft WORD based lists are fraught with their own problems. We endeavoured to make our trauma management effective. A Quality Improvement Project was done. The goals to achieve at end of a year were:. Daily Trauma Handover in standardised format >90%. Ward Handover in standardised format >90%. Availability of outcomes of patients in clinic >80%. Reduction of paper usage >90% at the end of six months. Availability of updated “outliers” information >90% at the weekend ward round. Documentation from the Trauma Meeting > 90%. On-Call documentation in standardised format >90%. Doctor Satisfaction >75% in terms of: ease of us;, searchability of patient; ward round experience; morning trauma meeting experience; handover experience; inter-specialty communication; reliability; daily time saving; on-call time saving; patient care/safety; overall satisfaction. We used Microsoft Sharepoint List to manage our trauma workload and have named the tool as “The List”. The List has achieved all objectives as above in one year's time, except Outlier information which was at 67% in a recent PDSA (Plan-Do-Study-Act) cycle. The survey showed excellent doctor satisfaction and 90% respondents felt that The List saved an hour or more during the on-call and also during the ward rounds. We conclude that The List is a very powerful tool making trauma meetings efficient and handover effective. It is indigenous, adaptable, safe, sustainable, cost neutral and easy to use

Excessive resident duty hours (RDH) are a recognized issue with implications for physician well-being and patient safety. A major component of the RDH concern is on-call duty. While considerable work has been done to reduce resident call workload, there is a paucity of research in optimizing resident call scheduling. Call coverage is scheduled manually rather than demand-based, which generally leads to over-scheduling to prevent a service gap. Machine learning (ML) has been widely applied in other industries to prevent such issues of a supply-demand mismatch. However, the healthcare field has been slow to adopt these innovations. As such, the aim of this study was to use ML models to 1) predict demand on orthopaedic surgery residents at a level I trauma centre and 2) identify variables key to demand prediction. Daily surgical handover emails over an eight year (2012-2019) period at a level I trauma centre were collected. The following data was used to calculate demand: spine call coverage, date, and number of operating rooms (ORs), traumas, admissions and consults completed. Various ML models (linear, tree-based and neural networks) were trained to predict the workload, with their results compared to the current scheduling approach. Quality of models was determined by using the area under the receiver operator curve (AUC) and accuracy of the predictions. The top ten most important variables were extracted from the most successful model. During training, the model with the highest AUC and accuracy was the multivariate adaptive regression splines (MARS) model, with an AUC of 0.78±0.03 and accuracy of 71.7%±3.1%. During testing, the model with the highest AUC and accuracy was the neural network model, with an AUC of 0.81 and accuracy of 73.7%. All models were better than the current approach, which had an AUC of 0.50 and accuracy of 50.1%. Key variables used by the neural network model were (descending order): spine call duty, year, weekday/weekend, month, and day of the week. This was the first study attempting to use ML to predict the service demand on orthopaedic surgery residents at a major level I trauma centre. Multiple ML models were shown to be more appropriate and accurate at predicting the demand on surgical residents as compared to the current scheduling approach. Future work should look to incorporate predictive models with optimization strategies to match scheduling with demand in order to improve resident well being and patient care

Background. Outcomes for patients with acute illnesses may be affected by the day of the week they present to hospital. Policy makers state this ‘weekend effect’ to be the main reason for pursuing a change in consultant weekend working patterns. However, it is uncertain whether such a phenomenon exists for elective orthopaedic surgery. This study investigated whether a ‘weekend effect’ contributed to adverse outcomes in patients undergoing elective hip and knee replacements. Methods. Retrospectively collected data was obtained from our institutions electronic patient records. Using univariate analysis, we examined potential risk factors including; Age, Sex, ASA Grade, Comorbidities, as well as the day of the week surgery was undertaken. Subsequent multivariate analyses identified covariate-adjusted risk factors, associated with prolonged hospital stays. 30-day mortality data was assessed according to the day of the week surgery was performed. Results. 892 patients underwent arthroplasty surgery from 01/09/2014 till the 31/08/2015. 457 had a total hip and 435 had a total knee replacement. 814 patients (91.3%) underwent surgery during the week, while 78 patients (8.7%) had surgery on a Saturday. There was no difference in the average Length of Stay (LOS) between groups (5.0, 2.6 versus 5.0, 3.4, p=0.95), and weekend surgery was not associated with a LOS greater than 4 days. The two variables found to be associated with a prolonged LOS were; increasing age (RR) 1.02 (95% CI: 1.01–1.03, p<0.001) and an ASA score of 2, (RR) 1.6 (95% CI: 1.15– 2.20, p=0.005). There was one death in a patient who was ASA III, and who underwent surgery on a Monday. Conclusion. There is no ‘weekend effect’ for elective orthopaedic surgery. Changes in consultant weekend working patterns are unlikely to have any effect on mortality or LOS for elective orthopaedic patients

Evaluate the complications and outcomes of off-hours spinal metastasis surgery. Retrospective analysis of a prospective collected data. Preoperative, operative and post-operative data were collected as well as the complications and Frankel score at all time checkpoints. Off-hours surgery was defined as surgery starting between 17:00 and 8:00 the following day or surgery during the weekend. p < 0 .05 was defined as statistical significance threshold. 376 patients were included with an incidence of off-hours surgery of 32%. There was an increase of neurologic complication in the off hours group. This was associated with a higher ASA score and older population group. Oddly, there was decreased operative time with off-hours surgery with no difference in bleeding and number of fusion levels. Nonetheless, there was a higher percentage of neurologic improvement with off hours surgery compared to in-hours surgery. Finally, there were no effect on patients' survival in this patient population. To our knowledge, this is the first report of the effect of off-hours surgery on complications and outcomes of spinal metastasis. Greater neurological compromise and higher age and ASA scores were associated with higher incidence of off-hours surgery. It is associated with decreased surgical time with higher percentage of neurological improvement. Finally, there is no effect of surgical timing on survival rates

NICE guidelines support the use of total hip replacement (THR) in preference to cemented hemiarthroplasty for the treatment of fit and active elderly patients with a displaced intracapsular neck of femur fracture. We hypothesized that not all patients eligible for a THR received one in our unit. We performed a prospective cohort study including all consecutive hip fracture patients admitted to our unit over a 6 month period. Case notes and data from the National Hip Fracture Database were evaluated. Patients were deemed suitable for a THR if they mobilised outdoors with a maximum of one stick, had an abbreviated mental test score of 8 or greater and had an ASA score of 1 or 2. 256 patients sustained a neck of femur fracture during the study period and 36 met the inclusion criteria. 26 (72%) had cemented hemiarthroplasties and 10 (22%) had a THR. THR rates varied with the day of surgery. At our unit we have a low rate of THR for patients who fulfil the NICE criteria for suitability, however it is around the national average. This could be improved upon by increasing the availability of surgeons who are able to perform THR, especially on weekends

Aims

COVID-19-related patient care delays have resulted in an unprecedented patient care backlog in the field of orthopaedics. The objective of this study is to examine orthopaedic provider preferences regarding the patient care backlog and financial recovery initiatives in response to the COVID-19 pandemic.

Aims

The primary aim was to assess the rate of patient deferral of elective orthopaedic surgery and whether this changed with time during the coronavirus disease 2019 (COVID-19) pandemic. The secondary aim was to explore the reasons why patients wanted to defer surgery and what measures/circumstances would enable them to go forward with surgery.

Aims

To establish if COVID-19 has worsened outcomes in patients with AO 31 A or B type hip fractures.

In order to assess the efficacy of inspection and accreditation by the Specialist Advisory Committee for higher surgical training in orthopaedic surgery and trauma, seven training regions with 109 hospitals and 433 Specialist Registrars were studied over a period of two years.

There were initial deficiencies in a mean of 14.8% of required standards (10.3% to 19.2%). This improved following completion of the inspection, with a mean residual deficiency in 8.9% (6.5% to 12.7%.) Overall, 84% of standards were checked, 68% of the units improved and training was withdrawn in 4%.

Most units (97%) were deficient on initial assessment. Moderately good rectification was achieved but the process of follow-up and collection of data require improvement. There is an imbalance between the setting of standards and their implementation. Any major revision of the process of accreditation by the new Post-graduate Medical Education and Training Board should recognise the importance of assessment of training by direct inspection on site, of the relationship between service and training, and the advantage of defining mandatory and developmental standards.