Understanding Variation in In-hospital Mortality After Major Surgery in the United States

Impact of patient, hospital, and operative characteristics relative to social determinants of health: Compliance with National Comprehensive Cancer Network guidelines for colon cancer

BACKGROUND

Despite an established association with improved patient outcomes, compliance with National Comprehensive Cancer Network (NCCN) guidelines remains suboptimal. We sought to assess the effect of patient characteristics (PCs), operative characteristics (OCs), hospital characteristics (HCs), and social determinants of health (SDoH) on noncompliance with NCCN guidelines for colon cancer.

METHODS

Patients treated for stage I to III colon cancer from 2004 to 2017 were identified from the National Cancer Database. Multilevel multivariate regression analysis was performed to identify factors associated with receipt of NCCN-compliant care and quantify the proportion of variance explained by PCs, OCs, HCs, and SDoH.

RESULTS

Among 468,097 patients with colon cancer treated across 1319 hospitals, 1 in 4 patients did not receive NCCN-compliant care (122,170 [26.1%]). On regression analysis, older age (odds ratio [OR], 0.96; 95% CI, 0.96-0.96), female sex (OR, 0.97; 95% CI, 0.96-0.99), Black race (OR, 0.96; 95% CI, 0.94-0.98), higher Charlson-Deyo score (OR, 0.84; 95% CI, 0.82-0.86), tumor stage ≥II (OR, 0.42; 95% CI, 0.40-0.44), and tumor grade ≥ 3 (OR, 0.33; 95% CI, 0.32-0.34) were associated with lower odds of receiving NCCN-compliant care (all P values <.05). Higher hospital volume (OR, 1.02; 95% CI, 1.02-1.03), minimally invasive or robotic surgical approach (OR, 1.26; 95% CI, 1.23-1.29), adequate (≥12) lymph node assessment (OR, 3.46; 95% CI, 3.38-3.53), private insurance status (OR, 1.33; 95% CI, 1.26-1.40), Medicare insurance status (OR, 1.42; 95% CI, 1.35-1.49), and higher educational status (OR, 1.06; 95% CI, 1.02-1.09) were associated with higher odds of receiving NCCN-compliant care (all P values <.05). Overall, PCs contributed 36.5%, HCs contributed 1.3%, and OCs contributed 12.9% to the variation in guideline-compliant care, while SDoH contributed only 3.6% of the variation in receipt of NCCN-compliant care.

CONCLUSION

The variation in NCCN-compliant care among patients with colon cancer was largely attributable to patient- and surgeon-level factors, whereas SDoH were associated with a smaller proportion of the variation.

Variation in Hospital Mortality After Complex Cancer Surgery: Patient, Volume, Hospital or Social Determinants?

INTRODUCTION

We sought to define the individual contributions of patient characteristics (PCs), hospital characteristics (HCs), case volume (CV), and social determinants of health (SDoH) on in-hospital mortality (IHM) after complex cancer surgery.

METHODS

The California Department of Health Care Access and Information database identified patients who underwent esophagectomy (ES), pneumonectomy (PN), pancreatectomy (PD), or proctectomy (PR) for a malignant diagnosis between 2010 and 2020. Multi-level multivariable regression was performed to assess the proportion of variance explained by PCs, HCs, CV and SDoH on IHM.

RESULTS

A total of 52,838 patients underwent cancer surgery (ES: n = 2,700, 5.1%; PN: n = 30,822, 58.3%; PD: n = 7530, 14.3%; PR: n = 11,786, 22.3%) across 294 hospitals. The IHM for the overall cohort was 1.7% and varied from 4.4% for ES to 0.8% for PR. On multivariable regression, PCs contributed the most to the variance in IHM (overall: 32.0%; ES: 21.6%; PN: 28.0%; PD: 20.3%; PR: 39.9%). Among the overall cohort, CV contributed 2.4%, HCs contributed 1.3%, and SDoH contributed 1.2% to the variation in IHM. CV was the second highest contributor to IHM among ES (5.3%), PN (5.3%), and PD (5.9%); however, HCs were a more important contributor among patients who underwent PR (8.0%). The unexplained variance in IHM was highest among ES (72.4%), followed by the PD (67.5%) and PN (64.6%) patient groups.

CONCLUSIONS

PCs are the greatest underlying contributor to variations in IHM following cancer surgery. These data highlight the need to focus on optimizing patients and exploring unexplained sources of IHM to improve quality of surgical care.