Impact of hospital volume on outcomes for laparoscopic adhesiolysis for small bowel obstruction.

BACKGROUND: Volume-to-outcome data have been studied in several complex surgical procedures, demonstrating improved outcomes at higher volume centers. Laparoscopic lysis of adhesions (LLOA) for small bowel obstruction (SBO) may result in better outcomes, but there is no information on the learning curve for this potentially complex case. This study evaluates the effect of institutional procedural volume on length of stay (LOS), outcomes, and costs in LLOA for SBOs.

MATERIALS AND METHODS: The Nationwide Inpatient Sample data set between 2000 and 2013 was queried for discharges for a diagnosis of SBO involving LLOA in adult patients. Patients with intra-abdominal malignancy and evidence of any other major surgical procedure during hospitalization were excluded. The procedural volume per hospital was calculated over the period, and high-volume hospitals were designated as those performing greater than five LLOA per year. Patient characteristics were described by hospital volume status using stratified cluster sampling tabulation and linear regression methods. LOS, total charges, and costs were reported as means with standard deviation and median values. P < 0.05 was considered significant.

RESULTS: A total of 9111 discharges were selected, which was representative of 43,567 weighted discharges nationally between 2000 and 2013. Over the study period, there has been a 450% increase in the number of LLOA performed. High-volume hospitals had significantly shorter LOS (mean: 4.92 ± standard error (SE) 0.13 d; median: 3.6) compared to low-volume hospitals (mean: 5.68 ± 0.06 d; median: 4.5). In multivariate analysis, high-volume status was associated with a decreased LOS of 0.72 d (P < 0.0001) as compared to low-volume status. Other significant predictors for decreased LOS included decreased age, decreased comorbidity, and the absence of small bowel resection. There was no significant association between volume status and total charges in multivariate or univariate models, but high-volume hospitals were associated with lower costs in multivariate models by approximately $984 (P = 0.017).

CONCLUSIONS: This study demonstrates that high hospital volume was associated with decreased LOS for LLOA in SBO. Although volume was not associated with differences in total charges, there was a small decrease in hospital costs.