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Tackling a Post-COVID-19 Cholecystectomy Waiting List: Are We Meeting the Challenge?
Mohammed Hamid1, Neginsadat Mirtorabi1, Abdul Ghumman1
1University Hospitals Birmingham NHS Foundation Trust, Heartlands Hospital, Birmingham B9 5SS, UK.
Insights
Innovative strategies significantly reduced cholecystectomy waiting times, from over a year to just 49 days. This approach effectively cleared surgical backlogs, offering a model for other hospitals to improve elective surgery access.
Area of Science:
- Surgical Outcomes
- Healthcare Management
- Public Health
Background:
- The COVID-19 pandemic caused substantial delays in elective surgical procedures, creating significant patient waiting lists.
- Cholecystectomy (gallbladder removal) waiting times became a critical issue, impacting patient care and outcomes.
- A large UK hospital trust implemented novel strategies to address the elective cholecystectomy backlog.
Purpose of the Study:
- To evaluate the impact of an innovative, multi-faceted approach on cholecystectomy waiting times.
- To assess trends in overall cholecystectomy activity during the post-COVID-19 recovery phase.
- To determine the effectiveness of strategies in reducing elective surgical backlogs.
Main Methods:
- A prospective observational study was conducted over 12 months (February 2021-February 2022) at a UK hospital trust.
- Multiple strategies were employed: utilizing the private sector, multiple surgical sites, mobile operating theatres, and extended working hours (seven-day operations).
- Statistical analyses, including correlation of determination (R² ) and Kruskal-Wallis tests, were used to analyze waiting time trends.
Main Results:
- A total of 657 cholecystectomies were performed, with a median patient age of 49 years and predominantly healthy patients (ASA 1-2).
- Median waiting times for cholecystectomy decreased dramatically from 428 days to 49 days (R² = 0.654, p < 0.001).
- Waiting times for gallstone pancreatitis cases reduced from 218 days to 28 days (R² = 0.613, p < 0.001).
Conclusions:
- The implemented methodology successfully and safely reduced the cholecystectomy waiting list.
- This innovative, multi-pronged approach demonstrates significant potential for reducing elective surgical waiting times.
- The strategies employed can be adapted by other healthcare units for similar surgical procedures to improve patient access.
Abstract:
Background and Objectives: The COVID-19 pandemic has led to a tremendous backlog in elective surgical activity. Our hospital trust adopted an innovative approach to dealing with elective waiting times for cholecystectomy during the recovery phase from COVID-19. This study aimed to evaluate trends in overall cholecystectomy activity and the effect on waiting times. Materials and Methods: A prospective observational study was undertaken, investigating patients who received a cholecystectomy at a large United Kingdom hospital trust between February 2021 and February 2022. There were multiple phased strategies to tackle a 533-patient waiting list: private sector, multiple sites including emergency operating, mobile theatre, and seven-day working. The correlation of determination (R2) and Kruskal-Wallis analysis were used to evaluate trends in waiting times across the study period. Results: A total of 657 patients underwent a cholecystectomy. The median age was 49 years, 602 (91.6%) patients had an ASA of 1-2, and 494 (75.2%) were female. A total of 30 (4.6%) patients were listed due to gallstone pancreatitis, 380 (57.8%) for symptomatic cholelithiasis, and 228 (34.7%) for calculous cholecystitis. Median waiting times were reduced from 428 days (IQR 373-508) to 49 days (IQR 34-96), R2 = 0.654, p < 0.001. For pancreatitis specifically, waiting times had decreased from a median of 218 days (IQR 139-239) to 28 (IQR 24-40), R2 = 0.613, p < 0.001. Conclusions: This study demonstrates the methodology utilised to safely and effectively tackle the cholecystectomy waiting list locally. The approach utilised here has potential to be adapted to other units or similar operation types in order to reduce elective waiting times.
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