Risk factors for prolonged preoperative waiting time of intertrochanteric fracture patients undergoing operative treatment.

PURPOSE: Intertrochanteric fracture is a common fracture in older adults. We observed the case characteristics of intertrochanteric fracture and analyzed the risk factors for prolonged preoperative waiting time based on patient data from a 6 year period. Investigate the post-admission treatment of intertrochanteric fracture. METHODS: We retrospectively reviewed the medical records from July 2015 to July 2021 of patients hospitalized for intertrochanteric fracture who had undergone internal fixation surgery in the orthopedic ward of the Affiliated Hospital of Shandong University of Traditional Chinese Medicine. Data regarding gender, age, AO/OTA classification, preoperative waiting time, preoperative medical comorbidities, and complicated deep venous thrombosis (DVT) of lower limbs were collected. Statistical tests were used to evaluate the factors influencing preoperative preparation time and DVT. RESULTS: A total of 1812 cases were retrospectively analyzed, 1258 patients (69.43%) had three or more medical comorbidities. The average preoperative waiting time was 5.09 ± 3.27 days. Advanced age, more preoperative medical comorbidities and DVT led to longer preoperative waiting times, and preoperative medical comorbidities were an independent risk factor. Patients with advanced age and preoperative medical comorbidities were more likely to have DVT. CONCLUSION: Age and preoperative medical comorbidities are risk factors for DVT and prolonged preoperative preparation time in intertrochanteric fracture patients. Preoperative medical comorbidities are an independent risk factors affecting the preoperative waiting time, and a combination of multiple comorbidities almost predicts the delay of the operation time.

The impact of preoperative waiting time in Stage II-III gastric or gastroesophageal junction cancer: A population-based cohort study.

BACKGROUND: Gastrectomy remains the curative option in gastric cancer. However, the growing concern that preoperative waiting jeopardizes survival has not been fully addressed. The present population-based cohort study aimed to clarify the impact of preoperative waiting time (PreWT). METHODS: We included patients with clinical Stage II-III gastric cancer who received curative surgery from 2008 to 2017 of Taiwan Cancer Registry. PreWT was defined as the time from endoscopic diagnosis to surgery. The prognostic impact on overall survival (OS) was evaluated with Cox and restricted cubic spline regressions. RESULTS: A total of 3059 patients with a median age of 68 years were evaluated. The median PreWT was 16 days (interquartile range, 11-24 days), and patients with a shorter PreWT were younger, had a more advanced disease and received adjuvant therapies. Despite a shorter OS occurring with prolonged PreWT (median OS by PreWT [days]: 7-13, 2.7 years; 14-20, 3.1 years; 21-27, 3.0 years; 28-34, 4.7 years; 35-31, 3.7 years; 42-48, 3.4 years; 49-118, 2.8 years; p = 0.029), the differences were not significant after adjustment. The Cox and restricted cubic spline regressions showed that prolonged PreWT was not a significant prognostic factor for OS (p = 0.719). CONCLUSIONS: The population-based study suggests that a PreWT of 49-118 days does not independently correlate with a poor prognosis in Stage II-III gastric cancer. The study provides rationale for a window period for preoperative therapies and patient optimization.

Reduction of In-Hospital Preoperative Waiting Time of Elective Surgeries in the Amidst of COVID-19 Pandemic: Experience from Ethiopia.

Background: The higher demand for surgical services during the advancement of the COVID-19 pandemic has resulted from the need for a pre-admission negative result, the need for extra resources, and a shortage of skilled expertise. This quality improvement project aimed to reduce the in-hospital preoperative waiting time of elective cases to less than 24 hours. Methods: The study was conducted in a tertiary care center. Following the collection of baseline data, we formed a multidisciplinary team to analyze the root causes and intervention ideas of delay using fishbone and driver diagrams, respectively. We prioritize key drivers and implemented several low-cost interventions using Plan-Do-Study-Act (PDSA) model. We monitored the average in-hospital preoperative waiting time of patients. Results: Overall, in-hospital preoperative waiting time for elective cases has been reduced from a baseline of 4.89 days to 1.32 days on average by the end of 10 months of initiating the project. Similarly, monthly elective case cancellation rate due to COVID-19-related reason has been reduced from baseline 62.5% of the total cancellation to 0%. Due to this, the average monthly inpatient bed utilization has increased from 2.21 patients per month during pre-COVID-19 period to 5.9 patients per month in each bed of the surgical ward by the end of the project. Conclusion: The implementation of a quality improvement project can optimize operation theatre efficiency, inpatient bed utilization, and reduce the surgical backlog. Meticulous and rigorous effort has to be laid down to do root cause analysis, generate feasible change ideas, and continuous follow-up, and testing of multiple PDSA cycles is required to impact an improvement and sustain it in the long run. The emergence of COVID-19 pandemic could be used as an opportunity to reduce the length of stay in the hospital.