The implementation of preoperative optimization in British Columbia: a quality improvement initiative.

Abstract

Surgical patient optimization is a proactive approach to improve postoperative outcomes. This article reviews the development of the Surgical Patient Optimization Collaborative, an initiative supporting preoperative optimization in British Columbia, Canada. The Collaborative facilitated optimization programs over two cohorts between 2019 and 2024. A "Change Package" offered screening, intervention, and measurement tools for the following 13 surgical risk factors: anemia, anxiety, body mass index (cohort 2 only), cardiac status, frailty, glycemic control, nutrition, sleep apnea, pain management, physical activity, smoking, social support, substance use, and venous thromboembolism (cohort 1 only). Monthly data submissions from participating sites included the number of patients undergoing optimization, National Surgical Quality Improvement Program-defined 30-day outcomes, length of stay, and patient-reported measures. Run charts were used to analyze the progress of optimization implementation across both cohorts. Fourteen sites participated in each cohort. In total, 9,686 patients were screened for optimization, with 7,100/7,505 (95%) patients receiving at least one optimization intervention. Improvement shifts in the number of patients screened were identified in the run charts across both cohorts. Most patients felt that their optimization improved their surgical experience and outcomes. Data for clinical outcomes were inconsistently reported from sites and precluded analyses. Barriers to implementation included project complexity and structural characteristics, and facilitators were knowledge and beliefs about the intervention, reflection, and evaluation. Preoperative optimization programs were successfully implemented across multiple sites in British Columbia. High-quality clinical outcome analyses are still needed to determine the impact of preoperative optimization on postoperative outcomes. The insight gained from the Collaborative's implementation process may help inform future multicentre preoperative optimization efforts.