Identifying High and Low Performing Emergency General Surgery Hospitals Using Direct Standardization

Abstract

Importance: Variation in outcomes for emergency general surgery conditions has been shown at the hospital level. Few have examined difference across hospitals for older adults who often present with the greatest risk. To date, no one has examined differences in the outcome for those undergoing operative and nonoperative treatment. Objective: Identify high and low performing emergency general surgery (EGS) hospitals with risk-standardization to determine clinical performance differences as well as correlation between patients treated operatively and non-operatively. Design: A retrospective cohort study with 30-day outcomes. Setting: Nationwide study of acute care hospitals. Participants: Medicare beneficiaries > 65.5 years old hospitalized for an emergency general surgery condition admitted from July 1, 2015 to June 30, 2018. Exposure: Unique hospital identification. Main outcome: A composite metric of adverse event including 30- day mortality, prolonged length of stay, and readmission. Results: There were 536,284 total patients with a mean age of 74.4 +/- 12.2 years, 55% female, 84% white with average claims-based frailty index of 0.16 +/- 0.06 and mean comorbidity count of 3.57 +/- 2.46. Amongst the 1866 hospitals identified, there were 3 best performing and 11 worst performing hospitals. There were weak correlations between operative and non-operative for mortality (0.10), adverse events rates (0.21), prolonged length of stay (0.32), and readmissions (0.18) at the hospital level (all p<0.001). Conclusions and Relevance: Significant variation exists in EGS hospital performance with best ranked hospitals out-performing worst ranked hospitals on adverse event, mortality, prolonged length of stay and readmission. There is little association between patient outcomes for those treated with operative and non-operative care.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under Award Number R01AG060612

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Data Availability

All data produced in the present study are available upon reasonable request to the authors

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