Does a first-case on-time-start initiative achieve its goal by starting the entire process earlier or by tightening the distribution of start times?

A Comprehensive Unit-based Safety Program to Improve Perioperative Efficiency in Adolescent Idiopathic Scoliosis

BACKGROUND

Addressing operational inefficiencies in operating rooms (ORs) enhances patient access to care, reduces delays, and improves employee and patient satisfaction. The Comprehensive Unit-based Safety Program (CUSP) promotes patient safety through increased teamwork, empowerment of frontline staff, and utilization of science of safety principles. CUSP has demonstrated success in outpatient and inpatient settings to decrease complication rates and establish a culture of safety but has been used minimally in the perioperative setting. In this study, the CUSP methodology was utilized to improve perioperative efficiency in pediatric spine surgery, and preimplementation and postimplementation efficiency were compared, using the rate of first case on-time starts (FCOTS) as the primary metric.

METHODS

A CUSP quality improvement workgroup including nurses, technicians, surgeons, anesthesiologists, and administrators sought feedback on opportunities for improvement and tracked key performance metrics in the OR from 2015 to 2020. Key interventions developed in response to feedback included standardizing and streamlining room setup and adjusting staffing models for greater efficiency. Univariate analysis was conducted to compare time periods pre-CUSP and post-CUSP implementation.

RESULTS

First case on-time starts increased from 38% to a high of 81% after implementation. For more complex cases, the average patient in the room to anesthesia ready time improved by 31% with decreased variance over time, and average closure to patient out of room time improved by 45%. Improvements were sustained through Year 3, while CUSP remained a primary focus for the team.

CONCLUSIONS

CUSP is effective in enhancing perioperative efficiency, demonstrating strong improvement in on-time starts over 5 years. The results indicate that process improvement in ORs requires consistent attention to sustain gains over time. Engaging frontline staff in quality improvement fosters collaboration and provides employee buy-in to promoting a culture of safety and improving value in patient care.

LEVEL OF EVIDENCE

Level III-retrospective comparative study.

Efficiency Metrics at an Academic Freestanding Ambulatory Surgery Center: Analysis of the Impact on Scheduled End-Times

BACKGROUND

Understanding the impact of key metrics on operating room (OR) efficiency is important to optimize utilization and reduce costs, particularly in freestanding ambulatory surgery centers. The aim of this study was to assess the association between commonly used efficiency metrics and scheduled end-time accuracy.

METHODS

Data from patients who underwent surgery from May 2018 to June 2019 at an academic freestanding ambulatory surgery center was extracted from the medical record. Unique operating room days (ORDs) were analyzed to determine (1) duration of first case delays, (2) turnover times (TOT), and (3) scheduled case duration accuracies. Spearman's correlation coefficients and mixed-effects multivariable linear regression were used to assess the association of each metric with scheduled end-time accuracy.

RESULTS

There were 1378 cases performed over 300 unique ORDs. There were 86 (28.7%) ORDs with a first case delay, mean (standard deviation [SD]) 11.2 minutes (15.1 minutes), range of 2-101 minutes; the overall mean (SD) TOT was 28.1 minutes (19.9 minutes), range of 6-83 minutes; there were 640 (46.4%) TOT >20 minutes; the overall mean (SD) case duration accuracy was -6.6 minutes (30.3 minutes), range of -114 to 176; and there were 389 (28.2%) case duration accuracies ≥30 minutes. The mean (SD) scheduled end-time accuracy was 6.9 minutes (68.3 minutes), range of -173 to 229 minutes; 48 (15.9%) ORDs ended ≥1 hour before scheduled end-time and 56 (18.6%) ORDs ended ≥1 hour after scheduled end-time. The total case duration accuracy was strongly correlated with the scheduled end-time accuracy (r = 0.87, 95% confidence interval [CI], 0.84-0.89, P < .0001), while the total first case delay minutes (r = 0.12, 95% CI, 0.01-0.21, P = .04) and total turnover time (r = -0.16, 95% CI, 0.21-0.05, P = .005) were less relevant. Case duration accuracy had the highest association with the dependent variable (0.95 minutes changed in the difference between actual and schedule end time per minute increase in case duration accuracy, 95% CI, 0.90-0.99, P < .0001), compared to turnover time (estimate = 0.87, 95% CI, 0.75-0.99, P < .0001) and first case delay time (estimate = 0.83, 95% CI, 0.56-1.11, P < .0001).

CONCLUSIONS

Standard efficiency metrics are similarly associated with scheduled end-time accuracy, and addressing problems in each is requisite to having an efficient ambulatory surgery center. Pursuing methods to narrow the gap between scheduled and actual case duration may result in a more productive enterprise.

The Contribution of Variable Control Charts to Quality Improvement in Healthcare: A Literature Review

Objective

To conduct a literature review to determine where and how variable control charts have contributed to quality improvement in healthcare.

Methods

A targeted literature search of the ABI/INFORM Global, Science Direct, Medline and Google Scholar databases was conducted, which yielded 6875 papers. Screening articles on the basis of title and abstract resulted in references to 163 articles, leading to the identification of 29 articles published between 1992 and 2019 that met the inclusion criteria. Common themes, variables and units of analysis were then analyzed.

Results

Variable control charts have been applied in 11 different healthcare contexts, using 17 different variables, at various levels within healthcare organizations. The main reason for applying variable control charts is to demonstrate a process change, usually following a specific change or quality intervention. The study identified various limitations and benefits of applying variable control charts. The charts are visually easy to understand for both management and employees, but they are limited by their requirement for potentially complex and resource-intensive data collection.

Conclusion

Variable control charts contribute to quality improvement in healthcare by enabling visualization and monitoring of variations and changes in healthcare processes. The methodology has been most frequently used to demonstrate process shifts after quality interventions. There still is a great potential for more studies applying variable control charts.