Volume 59, Issue 7 pp. 2316-2323
PATIENT BLOOD MANAGEMENT

The association of inpatient blood utilization and diagnosis-related group weight: implications for risk-adjusted benchmarking

Ryan A. Metcalf

Corresponding Author

Ryan A. Metcalf

Department of Pathology, University of Utah, Salt Lake City, Utah

ARUP Laboratories, Salt Lake City, Utah

Address reprint requests to: Ryan A. Metcalf, MD, CQA(ASQ), University of Utah, 50 N Medical Drive, Salt Lake City, UT 84132; e-mail: [email protected].Search for more papers by this author
Sandra K. White

Sandra K. White

Department of Pathology, University of Utah, Salt Lake City, Utah

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Scott Potter

Scott Potter

Department of Pathology, University of Utah, Salt Lake City, Utah

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Reed Barney

Reed Barney

Enterprise Data Warehouse, University of Utah, Salt Lake City, Utah

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Cheri Hunter

Cheri Hunter

Enterprise Data Warehouse, University of Utah, Salt Lake City, Utah

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Michael White

Michael White

Enterprise Data Warehouse, University of Utah, Salt Lake City, Utah

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Toby Enniss

Toby Enniss

Department of Surgery, University of Utah, Salt Lake City, Utah

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Charles Galaviz

Charles Galaviz

Department of Anesthesiology, University of Utah, Salt Lake City, Utah

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Santosh Reddy

Santosh Reddy

Department of Medicine, University of Utah, Salt Lake City, Utah

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Nathan Wanner

Nathan Wanner

Department of Medicine, University of Utah, Salt Lake City, Utah

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Robert L. Schmidt

Robert L. Schmidt

Department of Pathology, University of Utah, Salt Lake City, Utah

ARUP Laboratories, Salt Lake City, Utah

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Robert Blaylock

Robert Blaylock

Department of Pathology, University of Utah, Salt Lake City, Utah

ARUP Laboratories, Salt Lake City, Utah

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First published: 20 May 2019
Citations: 4

Abstract

BACKGROUND

Risk-adjusted benchmarking could be useful to compare blood utilization between hospitals or individual groups, such as physicians, while accounting for differences in patient complexity. The aim of this study was to analyze the association of red blood cell (RBC) use and diagnosis-related group (DRG) weights across all inpatient hospital stays to determine the suitability of using DRGs for between-hospital risk-adjusted benchmarking. Specific hierarchical organizational units (surgical vs. nonsurgical patients, departments, and physicians) were also evaluated.

STUDY DESIGN AND METHODS

We studied blood use among all adult inpatients, and within organizational units, over 4 years (May 2014 to March 2018) at an academic center. Number of RBCs transfused, all patient refined (APR)-DRGs, and other variables were captured over entire hospital stays. We used multilevel generalized linear modeling (zero-inflated negative binomial) to study the relationship between RBC utilization and APR-DRG.

RESULTS

A total of 97,955 hospital stays were evaluated and the median APR-DRG weight was 1.2. The association of RBCs transfused and APR-DRG weight was statistically significant at all hierarchical levels (incidence rate ratio = 1.22; p < 0.001). The impact of APR-DRG on blood use, measured by the incidence rate ratio, demonstrated an association at the all-patient and surgical levels, at several department and physician levels, but not at the medical patient level. The relationship between RBCs transfused and APR-DRG varied across organizational units.

CONCLUSION

Number of RBCs transfused was associated with APR-DRG weight at multiple hierarchical levels and could be used for risk-adjusted benchmarking in those contexts. The relationship between RBC use and APR-DRG varied across organizational units.

CONFLICT OF INTEREST

The authors have disclosed no conflicts of interest.

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