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.