Trends of Ophthalmic Surgery Cancellations at a County Hospital Before and During COVID-19: A 10-Year Retrospective Study

PURPOSE

Despite several publications on ophthalmic surgical cancellations discussing preventative causes in academic institutions, there remains a paucity of similar studies for safety-net hospitals. This study analyzed cancellation rates at a county hospital over a 10-year period.

METHODS

This retrospective, open cohort study investigated a total of 11,350 surgeries scheduled at a tertiary-level county hospital between January 1, 2012 and December 31, 2021. Surgical cancellation reasons were collected from chart review and categorized into eight groups to allow for analyses. Cancellation rates were then calculated per year and per subspecialty. The primary statistical analyses were paired, 2-tailed t test and χ2 test.

RESULTS

The most common reason for cancellation overall was institution-related (1065 surgeries), which was also the most common reason per year from 2012 to 2019 (range: 37.4% - 60.6%). In 2020, during COVID-19 stay-at-home mandates, the most common reason became COVID-related rescheduling, and in 2021, it was patient-driven. The cancellation rate in 2020 was significantly higher than 2019 (+9.27%,95% CI:4.96%-13.6%,p = .05), and significantly lower from 2021 to 2020 (-22.8%,95% CI:-26.8%-(-)18.7%,p = .001). Pediatric surgery had the highest cancellation rate overall (36.4%), but oculoplastics had the highest cancellation rate in 2020 (48.9%).

CONCLUSION

The most common reason for cancellation over the 10-year period was institution-related, in contrast to other publications based in academic centers. The study also had a higher cancellation rate than previously reported, again suggesting the difference between county and academic centers. The COVID-19 pandemic had a significant impact on cancellations, even after the COVID-19 stay-at-home orders were eased.

The effect of disruption due to COVID-19 on operating room utilization: Experience from a secondary care hospital in Riyadh, Saudi Arabia

Introduction/Background

The disruption caused due to corona virus disease-2019 (Covid-19) has affected the overall health care delivery worldwide. The elective services were foremost to face the restrictions and closure, subsequently they were resumed only after adoption on newer protocols.

Aims

We aimed to estimate the effect of COVID-19 restrictions on operative room utilization.

Methodology

This is a retrospective descriptive study. The surgical volume indicators were calculated and a comparison was made between pre-COVID-19 (April-June 2019) and COVID-19 phase (April-June, 2020). Pre-operative covid assessment through the RT-PCR test among the cases waiting for elective surgeries.

Results

Overall surgical volume decreased by 53%, which included 87% decrease in elective procedures and 8% decrease in emergency procedures. The overall OR utilization reduced by 63%. Highest reduction in the surgical volume was noted in bariatric surgery (no surgeries conducted in the COVID-19 phase), ophthalmology (99% reduction), and Ear, Nose and Throat surgery (ENT) surgery (92% reduction). Six patients tested positive for pre-operative RT-PCR from the sample of 261 cases posted for elective surgery during resumption phase of elective services, thereby giving the positivity rate of about 2.2%.

Conclusion

We found a high level of reduction in the operating room utilization in a secondary care public sector hospital. The pre-operative assessment has enabled to find out the COVID-19 cases and hence preventing the unwanted spread of infection during the surgical procedures.

A Novel Think Tank Program to Promote Innovation and Strategic Planning in Ophthalmic Surgery

Background

Continuous quality improvement is a pillar of all surgical groups. Innovation is a critical aspect to continuously improve, but traditional staff retreats have several disadvantages which limit their utility in identifying needs and developing innovative solutions. To address these challenges, we designed the novel Think Tank Program to spur innovation and strategic planning for an academic ophthalmology department including the Kellogg Eye Center 6 operating rooms.

Methods

The Think Tank program is a structured seven-phase program for faculty in small teams to identify, innovate, and implement meaningful change. Participants brainstormed problems and possible solutions to those problems, formed teams, acquired data, and implemented meaningful change in clinical care, research, education, and administration.

Results

The program generated 19 novel proposals and significant faculty engagement and discussion in improving the department. A case example of improving the operating room (OR) utilization resulted in improved OR utilization from 63.8% to 74.6% over a 3 month period before and after implementation. It also resulted in a reduction of cancelled or rescheduled surgeries within 2 weeks or surgery from 29.8% to 15.2%. This resulted in an estimated positive financial margin of over $141,000 to the institution in addition to improvement in patient, surgeon, and staff satisfaction with the quality of care.

Conclusions

Engaged faculty, critical data analysis, and value proposition analysis with data-driven metrics and accountability can result in a significant increase in OR utilization and reduction in surgical cancellations. Think Tank serves as a model transformative program to assist practices and institutions to best fulfill their mission while actively engaging and retaining their members.

Improving the Prediction of Total Surgical Procedure Time Using Linear Regression Modeling

For efficient utilization of operating rooms (ORs), accurate schedules of assigned block time and sequences of patient cases need to be made. The quality of these planning tools is dependent on the accurate prediction of total procedure time (TPT) per case. In this paper, we attempt to improve the accuracy of TPT predictions by using linear regression models based on estimated surgeon-controlled time (eSCT) and other variables relevant to TPT. We extracted data from a Dutch benchmarking database of all surgeries performed in six academic hospitals in The Netherlands from 2012 till 2016. The final dataset consisted of 79,983 records, describing 199,772 h of total OR time. Potential predictors of TPT that were included in the subsequent analysis were eSCT, patient age, type of operation, American Society of Anesthesiologists (ASA) physical status classification, and type of anesthesia used. First, we computed the predicted TPT based on a previously described fixed ratio model for each record, multiplying eSCT by 1.33. This number is based on the research performed by van Veen-Berkx et al., which showed that 33% of SCT is generally a good approximation of anesthesia-controlled time (ACT). We then systematically tested all possible linear regression models to predict TPT using eSCT in combination with the other available independent variables. In addition, all regression models were again tested without eSCT as a predictor to predict ACT separately (which leads to TPT by adding SCT). TPT was most accurately predicted using a linear regression model based on the independent variables eSCT, type of operation, ASA classification, and type of anesthesia. This model performed significantly better than the fixed ratio model and the method of predicting ACT separately. Making use of these more accurate predictions in planning and sequencing algorithms may enable an increase in utilization of ORs, leading to significant financial and productivity related benefits.