Avoidable admissions after minimally invasive hysterectomy

Objective To determine the rate of avoidable admissions following anticipated same-day discharge for patients undergoing minimally invasive hysterectomy and to identify risk factors associated with such admissions. Methods A retrospective review was performed of patients who underwent a minimally invasive hysterectomy between March 2019 and July 2021 for a suspected gynecologic malignancy at a single tertiary care center. Pre-operatively, patients were assessed for same-day discharge versus planned admission. Reasons for day-of-surgery admission despite anticipated same-day discharge were categorized as anesthesia-related, system issues, intra-operative factors, post-operative pain, and social factors. Patients deemed not candidates for same-day discharge were defined as planned admissions. Indications were categorized as necessary or potentially avoidable. Descriptive and comparative statistics were used to summarize the cohort. Results In total, 372 patients were identified: 261 (70.2%) anticipated same-day discharges and 111 (29.8%) planned admissions. Of anticipated same-day discharges, 230/261 (88.1%) were successfully discharged, while 31/261 (11.9%) required admission. Reasons for unplanned admissions were anesthesia-related (14/31, 45.2%), system issues (7/31, 22.6%), intra-operative factors (5/31, 16.1%), post-operative pain (3/31, 9.7%), and social factors (2/31, 6.5%). Among the 111 pre-operatively planned admissions, 81 (73.0%) were necessary due to comorbidities or surgical complexity, while 30 (27.0%) were potentially avoidable because patients could have been optimized for same-day discharge. Opportunities for optimization pre-operatively included comorbidities (13/30, 43.3%), system issues (8/30, 26.7%), social factors (6/30, 20.0%), and provider preference (3/30, 10.0%). Conclusion Most patients undergoing minimally invasive hysterectomy can be safely discharged the same day. Potentially avoidable admissions were primarily related to patient comorbidities that can be better optimized pre-operatively.