Publication
State-level hospital compliance with and performance in the Centers for Medicaid & Medicare Services' Early Management Severe Sepsis and Septic Shock Bundle
Downloadable Content
- Persistent URL
- Last modified
- 05/21/2025
- Type of Material
- Authors
-
-
Jordan Kempker, Emory UniversityMichael Kramer, Emory UniversityLance Waller, Emory UniversityHenry E. Wang, University of Texas HoustonGregory Martin, Emory University
- Language
- English
- Date
- 2019-03-18
- Publisher
- Lippincott, Williams & Wilkins: No Hybrid Open Access
- Publication Version
- Copyright Statement
- © The Author(s). 2019 O
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- ISSN
- 0887-9303
- Volume
- 23
- Issue
- 1
- Start Page
- 92
- End Page
- 92
- Grant/Funding Information
- During this work Dr. Kempker received support from the Agency for Healthcare Research and Quality [K08HS025240] and the National Institutes of Health’s National Heart, Lung, and Blood Institute [L30 HL124529-01].
- Abstract
- A recent article by Barbash et al. reported on the first publically available, 2017 data of United States (US) hospital performance on the Centers for Medicare & Medicaid Services (CMS) “Early Management Bundle for Severe Sepsis/Septic Shock” (SEP-1) quality measure [1]. They demonstrate that 87% of hospitals reported SEP-1 data, at an average compliance with all elements of the bundle of 49% (standard deviation (SD) 19%). In addition to their demonstrating the hospital characteristics associated with high SEP-1 performance, an aggregated state-level description is an important complimentary analysis given the state-specific sepsis quality mandates and initiatives existing and forthcoming. Specifically, pre-dating SEP-1 and beginning in 2014, New York required hospitals to implement sepsis care protocols. Also at the time of writing, Illinois and New Jersey are adopting similar mandates while Ohio and Wisconsin are adopting sepsis public health initiatives [2–4].
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Epidemiology
- Biology, Biostatistics
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