The Development of a Standardized Pathway for Outpatient Ambulatory Fracture Surgery: To Admit or Not to Admit

ORTHOPOD: Linking ambulatory future trauma injury distribution from fragility proximal femur fracture caseload

INTRODUCTION

The age of those experiencing traumatic injury and requiring surgery increases. The majority of this increase seen in older patients having operations after accidents is in fragility proximal femur fractures (FPFF). This study designed a model to predict the distribution of fractures suitable for ambulatory trauma list provision based on the number of FPFF patients.

METHODS

The study utilized two datasets which both had data from 64 hospitals. One derived from the ORTHOPOD study dataset, and the other from National Hip Fracture Database. The model tested the predictability of 12 common fracture types based on FPFF data from the two datasets, using linear regression and K-fold cross-validation.

RESULTS

The predictive model showed some promise. Evaluation of the model with mean RMSE and Std RMSE demonstrated good predictive performance for some fracture types, although the r-squared values showed that large variation in these fracture types was not always captured by the model. The study highlighted the dominance of FPFFs, and the strong correlation between these and numbers of ankle and distal radius fractures at a given unit.

DISCUSSION

It is possible to model the numbers of ankle and distal radius fractures based off the number of patients admitted with hip fractures. This has great significance given the drive for increased day case utilisation and bed pressures across health services. While the model's current predictability was limited, with methodological improvements and additional data, a more robust predictive model could be developed to aid in the restructuring of trauma networks and improvement of patient care and surgical outcomes.

ORthopaedic trauma hospital outcomes - Patient operative delays (ORTHOPOD) Study: The management of day-case orthopaedic trauma in the United Kingdom

INTRODUCTION

ORTHOPOD: Day Case Trauma is a multicentre prospective service evaluation of day-case trauma surgery across four countries. It is an epidemiological assessment of injury burden, patient pathways, theatre capacity, time to surgery and cancellation. It is the first evaluation of day-case trauma processes and system performance at nationwide scale.

METHODS

Data was prospectively recorded through a collaborative approach. Arm one captured weekly caseload burden and operating theatre capacity. Arm two detailed patient and injury demographics, and time to surgery for specific injury groups. Patients scheduled for surgery between 22/08/22 and 16/10/22 and operated on before 31/10/22, were included. For this analysis, hand and spine injuries were excluded.

RESULTS

Data was obtained from 86 Data Access Groups (70 in England, 2 in Wales, 10 in Scotland and 4 in Northern Ireland). After exclusions, 709 weeks worth of data representing 23,138 operative cases were analysed. Day-case trauma patients (DCTP) accounted for 29.1% of overall trauma burden and utilised 25.7% of general trauma list capacity. They were predominantly adults aged 18 to 59 (56.7%) with upper limb Injuries (65.7%). Across the four nations, the median number of day-case trauma lists (DCTL) available per week was 0 (IQR 1). 6 of 84 (7.1%) hospitals had at least five DCTLs per week. Rates of cancellation (13.2% day-case; 11.9% inpatient) and escalation to elective operating lists (9.1% day-case; 3.4% inpatient) were higher in DCTPs. For equivalent injuries, DCTPs waited longer for surgery. Distal radius and ankle fractures had median times to surgery within national recommendations: 3 days and 6 days respectively. Outpatient route to surgery was varied. Dominant pathways (>50% patients listed at that episode) in England and Wales were uncommon but the most frequently seen was listing patients in the emergency department, 16 of 80 hospitals (20%).

CONCLUSION

There is significant mismatch in DCTP management and resource availability. There is also considerable variation in DCTP route to surgery. Suitable DCTL patients are often managed as inpatients. Improving day-case trauma services reduces the burden on general trauma lists and this study demonstrates there is considerable scope for service and pathway development and improved patient experience.

A Dedicated Orthopaedic Trauma Room Improves Efficiency While Remaining Financially Net Positive

OBJECTIVES

To determine the impact of dedicated orthopaedic trauma room (DOTR) implementation on operating room efficiency and finances.

DESIGN

Retrospective cost-analysis.

SETTING

Single midsized academic-affiliated community hospital in Toronto, Canada.

PARTICIPANTS

All patients that underwent the most frequently performed orthopaedic trauma procedures (hip hemiarthroplasty, open reduction internal fixation of the ankle, femur, elbow and distal radius), over a 4-year period from 2016 to 2019 were included.

INTERVENTION

Patient data acquired for 2 years before the implementation of a DOTR was compared with data acquired for a 2-year period after its implementation, adjusting for the number of cases performed.

MAIN OUTCOME MEASUREMENTS

The primary outcome was surgical duration. The secondary outcome was financial impact, including after-hours costs incurred and opportunity cost of displaced elective surgeries.

RESULTS

One thousand nine hundred sixty orthopaedic cases were examined pre- and post-DOTR. All procedures had reduced total operative time post-DOTR (mean improvement of 33.4%). The number of daytime operating hours increased 21%, whereas after-hours decreased by 37.8%. Overtime staffing costs were reduced by $24,976 alongside increase in opportunity costs of $22,500. This resulted in a net profit of $2476.

CONCLUSIONS

Our results support the premise that DOTRs improve operating room efficiency and can be cost efficient. Our study also specifically addresses the hesitation regarding potential loss of profit from elective surgeries. Widespread implementation can improve patient care while still remaining financially favorable.

LEVEL OF EVIDENCE

Economic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Unsupervised Data Mining and Effect of Fast Rehabilitation Nursing Intervention in Fracture Surgery

At present, the most commonly used surgical treatment for fractures caused by external force injury is clinical, and unsupervised data mining is more advantageous in the face of the unknown format of perioperative network data. Therefore, this research aims to explore the application effect of unsupervised data mining in the concept of rapid rehabilitation nursing intervention after fracture surgery. 80 patients who underwent fracture surgery in the Department of Orthopedics of XXX Hospital were determined as the subjects, who were rolled into a research group (group R, 40 cases) and a control group (group C, 40 cases) by drawing lots. An unsupervised data mining algorithm based on unsupervised data mining for support vector machines (VDMSVMs) was proposed and applied to two groups of patients undergoing perioperative fracture surgery with the rapid rehabilitation nursing intervention and basic routine nursing. The results showed that the number of important features selected by the VDMSVM algorithm (5) was obviously more than that of the compressed edge fragment sampling (CEFS) algorithm (1) and the multicorrelation forward searching (MCFS) algorithm (2) (P < 0.05). The number of noise features screened by the VDMSVM algorithm (3) was much less in contrast to that of the CEFS algorithm and the MCFS algorithm, which was 8 and 10, respectively (P < 0.05). The Visual Analogue Scale (VAS) scores of the fracture site at the 4th, 8th, 12th, and 16th hour after surgery in group R were all lower than the scores in group C (P < 0.05). The length of hospital stay (LoHS) in group R was greatly shorter than that in group C (P < 0.05). After different nursing methods, the World Health Organization Quality of Life (WHOQOL-BREF) score of patients in group R (89.64 points) was greatly higher than the score in group C (61.45 points) (P < 0.05). The nursing satisfaction score of group R was 92.35 ± 3.65 points, and that in group C was 2.14 ± 1.25 points, respectively (P < 0.05). The test results verified the effectiveness of the feature selection of the VDMSVM algorithm. The rapid rehabilitation nursing intervention was conductive to reducing the postoperative pain of fracture patients, shortening the LoHS of patients, improving the quality of life (QOL) of fracture surgery patients, and increasing the patient's satisfaction with nursing.

High-risk surgical procedures and semi-emergent surgical procedures for ambulatory surgery

PURPOSE OF REVIEW

This review evaluates more complex surgical procedures to see whether they might be suitable for ambulatory surgery. Operations that have shown an increasing daycase rate in England include thyroidectomy, joint arthroplasty, spinal surgery and hysterectomy, and these procedures are evaluated. Similarly, there have been recent developments in the management of nonelective ambulatory surgery with more timely throughput and home discharge for suitable patients.

RECENT FINDINGS

Caveats on patient selection with the development of focussed educational programmes about the proposed operation have assisted with the development of shorter discharge times. Strict antiemetic guidelines, multimodal analgesic protocols and postoperative multidisciplinary follow-up are core components of the pathway for effective ambulatory management. Communication after discharge should include phone calls from the Ambulatory Unit and easy access to the medical staff who conducted their operation.

SUMMARY

There should be no reason why more complex surgical operations could not be included in a day surgery armamentarium. Similarly, the evidence for more effective use of timely emergency care with shortened length of stay is increasing.

SARS-CoV-2 Impact on Elective Orthopaedic Surgery: Implications for Post-Pandemic Recovery

BACKGROUND

The aim of our study was to explore the impact of elective-surgery deferment on the United States health-care system and subsequent recovery after COVID-19 containment. Using an orthopaedic elective surgery model, we aimed to answer the following: (1) What is the expected recovery time until the health-care system is back to nearly full capacity for performing elective surgery? (2) What will be the expected backlog of elective surgery over time? (3) How should health care change to address the backlog?

METHODS

A Monte Carlo stochastic simulation-based analysis was performed to forecast the post-pandemic volume of elective, inpatient total joint arthroplasty and spinal fusion surgical cases. The cumulative backlog was calculated and analyzed. We tested model assumptions with sensitivity analyses.

RESULTS

Assuming that elective orthopaedic surgery resumes in June 2020, it will take 7, 12, and 16 months-in optimistic, ambivalent, and pessimistic scenarios, respectively-until the health-care system can perform 90% of the expected pre-pandemic forecasted volume of surgery. In the optimistic scenario, there will be a cumulative backlog of >1 million surgical cases at 2 years after the end of elective-surgery deferment.

CONCLUSIONS

The deferment of elective surgical cases during the SARS-CoV-2 pandemic will have a lasting impact on the United States health-care system. As part of disaster mitigation, it is critical to start planning for recovery now.