Literature DB >> 27908335

The Past, Present, and Future of the Centers for Medicare and Medicaid Services Quality Measure SEP-1: The Early Management Bundle for Severe Sepsis/Septic Shock.

Jeremy S Faust1, Scott D Weingart2.   

Abstract

SEP-1, the new national quality measure on sepsis, resulted from an undertaking to standardize care for severe sepsis and septic shock regardless of the size of the emergency department where the patient is being treated. SEP-1 does not necessarily follow the best current evidence available. Nevertheless, a thorough understanding of SEP-1 is crucial because all hospitals and emergency providers will be accountable for meeting the requirements of this measure. SEP-1 is the first national quality measure on early management of sepsis care. This article provides a review of SEP-1 and all its potential implications on sepsis care in the United States. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CMS; Core measures; Early goal-directed therapy; Quality; Sepsis; Septic shock; Severe sepsis; Shared decision-making

Mesh:

Year:  2017        PMID: 27908335     DOI: 10.1016/j.emc.2016.09.006

Source DB:  PubMed          Journal:  Emerg Med Clin North Am        ISSN: 0733-8627            Impact factor:   2.264


  13 in total

1.  Readmissions Among Sepsis Survivors: Risk Factors and Prevention.

Authors:  Andrew J Goodwin; Dee W Ford
Journal:  Clin Pulm Med       Date:  2018-05

2.  National Performance on the Medicare SEP-1 Sepsis Quality Measure.

Authors:  Ian J Barbash; Billie Davis; Jeremy M Kahn
Journal:  Crit Care Med       Date:  2019-08       Impact factor: 7.598

Review 3.  Driving blind: instituting SEP-1 without high quality outcomes data.

Authors:  Jeffrey Wang; Jeffrey R Strich; Willard N Applefeld; Junfeng Sun; Xizhong Cui; Charles Natanson; Peter Q Eichacker
Journal:  J Thorac Dis       Date:  2020-02       Impact factor: 2.895

4.  Revised National Estimates of Emergency Department Visits for Sepsis in the United States.

Authors:  Henry E Wang; Allison R Jones; John P Donnelly
Journal:  Crit Care Med       Date:  2017-09       Impact factor: 7.598

5.  HEALTH INFORMATICS TOOL TOWARD SEPSIS SCREENING.

Authors:  Raweewan Liengsawangwong; Sajeesh Kumar; Ruben A Ortiz; Jason Hill
Journal:  Perspect Health Inf Manag       Date:  2021-07-01

6.  In Situ Simulation for Adoption of New Technology to Improve Sepsis Care in Rural Emergency Departments.

Authors:  Emilie S Powell; William F Bond; Lisa T Barker; Kimberly Cooley; Julia Lee; Andrew L Vincent; John A Vozenilek
Journal:  J Patient Saf       Date:  2022-01-19       Impact factor: 2.243

7.  Predicted Economic Benefits of a Novel Biomarker for Earlier Sepsis Identification and Treatment: A Counterfactual Analysis.

Authors:  Carly J Paoli; Mark A Reynolds; Courtney Coles; Matthew Gitlin; Elliott Crouser
Journal:  Crit Care Explor       Date:  2019-08-07

Review 8.  Sepsis and antimicrobial stewardship: two sides of the same coin.

Authors:  Fidelma Fitzpatrick; Carolyn Tarrant; Vida Hamilton; Fiona M Kiernan; David Jenkins; Eva M Krockow
Journal:  BMJ Qual Saf       Date:  2019-04-24       Impact factor: 7.035

Review 9.  Surveillance Strategies for Tracking Sepsis Incidence and Outcomes.

Authors:  Claire N Shappell; Michael Klompas; Chanu Rhee
Journal:  J Infect Dis       Date:  2020-07-21       Impact factor: 7.759

10.  Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units.

Authors:  Andrea McCoy; Ritankar Das
Journal:  BMJ Open Qual       Date:  2017-10-25
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