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SBAR II: Application of SBAR

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...

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Emergency Undocking in Robotic Surgery: A Simulation Curriculum

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Published on: May 20, 2018

An Assessment of Hospital Performance in Emergency General Surgery Using Direct and Indirect Standardization.

Drew W Goldberg^1,2,3, Luke Keele^1,4,3, Chris Wirtalla¹

¹From the Department of Surgery, Center for Surgery and Health Economics, University of Pennsylvania, Philadelphia, PA.

Annals of Surgery Open : Perspectives of Surgical History, Education, and Clinical Approaches

|March 27, 2026

Summary

Comparing hospital performance for emergency general surgery (EGS) using two methods showed strong agreement. This suggests opportunities for standardizing care and improving quality for EGS patients across institutions.

Keywords:

emergency general surgery outcomes research quality improvement statistical methods

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Area of Science:

Health Services Research
Surgical Quality Improvement
Healthcare Analytics

Background:

Emergency general surgery (EGS) involves complex, time-sensitive conditions requiring prompt treatment.
Patients and institutions need reliable methods to compare hospital performance for EGS.
Existing metrics for benchmarking EGS outcomes require evaluation.

Purpose of the Study:

To compare two distinct analytic strategies for evaluating hospital outcomes in emergency general surgery (EGS).
To assess the agreement between conventional risk stratification and a less common but informative strategy for EGS performance benchmarking.

Main Methods:

Retrospective cohort study of Medicare beneficiaries with EGS conditions (July 2015-June 2018).
Comparison of direct standardization with balancing weights and indirect standardization using logistic regression.
Correlation of hospital performance rankings using Spearman rank coefficient.

Main Results:

Analysis included 536,284 patients across 1866 hospitals.
Strong correlation (0.83) found between direct and indirect standardization methods for risk-adjusted adverse event rates.
High correlations also observed for operative (0.75) and nonoperative (0.77) subgroups.

Conclusions:

Significant variation in EGS outcomes necessitates improved quality measurement.
Hospital performance rankings show consistency between the two analytic methods.
Identifies opportunities for care standardization and quality improvement in EGS.