Development and Implementation of Preoperative Optimization for High-Risk Patients With Abdominal Wall Hernia

Real-world surgical practice often lags behind the best scientific evidence. For example, although optimizing comorbidities such as smoking and morbid obesity before ventral and incisional hernia repair improves outcomes, as many as 25% of these patients have a high-risk characteristic at the time of surgery. Implementation strategies may effectively increase use of evidence-based practice.

To describe current trends in preoperative optimization among patients undergoing ventral hernia repair, identify barriers to optimization, develop interventions to address these barriers, and then pilot these interventions.

This quality improvement study used a retrospective medical record review to identify hospital-level trends in preoperative optimization among patients undergoing ventral and incisional hernia repair. Semistructured interviews with 21 practicing surgeons were conducted to elicit barriers to optimizing high-risk patients before surgery. Next, a task force of experts was convened to develop pragmatic interventions to increase surgeon use of preoperative optimization. Finally, these interventions were piloted at 2 sites to assess acceptability and feasibility. This study was performed from January 1, 2014, to December 31, 2019.

The main outcome was rate of referrals for preoperative patient optimization at the 2 pilot sites.

Among 23 000 patients undergoing ventral hernia repair, the mean (SD) age was 53.9 (14.3) years, and 12 315 (53.5%) were men. Of these, 8786 patients (38.2%) had at least 1 high-risk characteristic at the time of surgery, including 7683 with 1, 1079 with 2, and 24 with 3. At the hospital level, the mean proportion of patients with at least 1 of 3 high-risk characteristics at the time of surgery was 38.2% (95% CI, 38.1%-38.3%). This proportion varied widely from 21.5% (95% CI, 17.6%-25.5%) to 52.8% (95% CI, 43.9%-61.8%) across hospitals. Interviews with surgeons identified 3 major barriers to improving this practice: lost financial opportunity by not offering a patient an operation, lack of surgeon awareness of available resources for optimization, and organizational barriers. A task force therefore developed 3 interventions: a financial incentive to optimize high-risk patients, an educational intervention to make surgeons aware of available optimization resources, and on-site facilitation. These strategies were piloted at 2 sites where preoperative risk optimization referrals increased 860%.

This study demonstrates a stepwise process of identifying a practice gap, eliciting barriers that contribute to this gap, using expert consensus and local resources to develop strategies to address these barriers, and piloting these strategies. This implementation strategy can be adopted to diverse settings given that it relies on developing and implementing strategies based on local practice patterns.