Can an End-to-End Telesepsis Solution Improve the Severe Sepsis and Septic Shock Management Bundle-1 Metrics for Sepsis Patients Admitted From the Emergency Department to the Hospital?

The Severe Sepsis and Septic Shock Management Bundle-1 identification resuscitation sepsis telemedicine time-sensitive illness

Journal

Critical care explorations
ISSN: 2639-8028
Titre abrégé: Crit Care Explor
Pays: United States
ID NLM: 101746347

Informations de publication

Date de publication:
Oct 2022
Historique:
entrez: 17 10 2022
pubmed: 18 10 2022
medline: 18 10 2022
Statut: epublish

Résumé

Early detection and treatment for sepsis patients are key components to improving sepsis care delivery and increased The Severe Sepsis and Septic Shock Management Bundle (SEP-1) compliance may correlate with improved outcomes. We assessed the impact of implementing a partially automated end-to-end sepsis solution including electronic medical record-linked automated monitoring, early detection, around-the-clock nurse navigators, and teleconsultation, on SEP-1 compliance in patients with primary sepsis, present at admission, admitted through the emergency department (ER). After a "surveillance only" training period between September 3, 2020, and October 5, 2020, the automated end-to-end sepsis solution intervention period occurred from October 6, 2020, to January 1, 2021 in five ERs in an academic health system. Patients who screened positive for greater than or equal to 3 sepsis screening criteria (systemic inflammatory response syndrome, quick Sequential Organ Failure Assessment, pulse oximetry), had evidence of infection and acute organ dysfunction, and were receiving treatment consistent with infection or sepsis were included. SEP-1 compliance during the "surveillance only" period compared to the intervention period. During the intervention period, 56,713 patients presented to the five ERs; 20,213 (35.6%) met electronic screening criteria for potential sepsis; 1,233 patients had a primary diagnosis of sepsis, present at admission, and were captured by the nurse navigators. Median age of the cohort was 68 years (interquartile range, 57-79 yr); 55.3% were male; 63.5% were White/Caucasian, 26.3% Black/African-American; was 16.7%, and 879 patients (71.3%) were presumed bacterial sepsis, nonviral etiology, and SEP-1 bundle eligible. Nurse navigator real-time classification of this group increased from 51.7% during the "surveillance only" period to 71.8% during the intervention period ( During an 11-week period of sepsis screening, monitoring, and teleconsultation in 5 EDs, SEP-1 compliance improved significantly compared with institutional SEP-1 reporting metrics and to a "surveillance only" training period.

Identifiants

pubmed: 36248316
doi: 10.1097/CCE.0000000000000767
pmc: PMC9553400
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0767

Informations de copyright

Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.

Déclaration de conflit d'intérêts

Drs. Gaieski’s, Toolan’s, and Ciotti’s institutions received funding from InTouch Health. Drs. Gaieski’s and Flaada’s institutions received funding from Teladoc. Dr. Toolan’s and Ciotti’s institutions received funding from Jefferson Strategic Ventures. The remaining authors have disclosed that they do not have any potential conflicts of interest.

Références

Intensive Care Med. 2007 Jun;33(6):970-7
pubmed: 17431582
Crit Care Med. 2018 Oct;46(10):1585-1591
pubmed: 30015667
JAMA. 2016 Feb 23;315(8):801-10
pubmed: 26903338
JAMA. 2014 Apr 2;311(13):1308-16
pubmed: 24638143
JAMA Intern Med. 2020 May 1;180(5):707-716
pubmed: 32250412
Crit Care Med. 2006 Apr;34(4):1025-32
pubmed: 16484890
Crit Care Med. 2013 May;41(5):1167-74
pubmed: 23442987
N Engl J Med. 2017 Jun 8;376(23):2235-2244
pubmed: 28528569
N Engl J Med. 2014 Oct 16;371(16):1496-506
pubmed: 25272316
Chest. 1992 Jun;101(6):1644-55
pubmed: 1303622
N Engl J Med. 2015 Apr 23;372(17):1629-38
pubmed: 25776936
JAMA Intern Med. 2018 Jun 1;178(6):812-819
pubmed: 29710111
N Engl J Med. 2014 May 1;370(18):1683-93
pubmed: 24635773
N Engl J Med. 2015 Apr 2;372(14):1301-11
pubmed: 25776532
N Engl J Med. 2001 Nov 8;345(19):1368-77
pubmed: 11794169
Crit Care Med. 2009 May;37(5):1670-7
pubmed: 19325467
Acad Emerg Med. 2007 Aug;14(8):709-14
pubmed: 17576773
Crit Care Med. 2010 Apr;38(4):1045-53
pubmed: 20048677
Ann Emerg Med. 2018 Jan;71(1):10-15.e1
pubmed: 28789803
Intensive Care Med. 2003 Apr;29(4):530-8
pubmed: 12664219
J Telemed Telecare. 2021 Sep;27(8):518-526
pubmed: 31903840
Crit Care Med. 2006 Jun;34(6):1589-96
pubmed: 16625125
Ann Intern Med. 2021 Jul;174(7):927-935
pubmed: 33872042

Auteurs

David F Gaieski (DF)

Department of Emergency Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.
Jefferson Strategic Ventures, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Brendan Carr (B)

Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai Health System, New York City, NY.

Melanie Toolan (M)

Jefferson Strategic Ventures, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Kimberly Ciotti (K)

Jefferson Strategic Ventures, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Amy Kidane (A)

Jefferson Strategic Ventures, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.

Drew Flaada (D)

Ambient Clinical Analytics, Inc, Rochester, MN.

Joseph Christina (J)

InTouch/TelaDoc Health, Inc, Purchase, NY.

Rajesh Aggarwal (R)

Jefferson Strategic Ventures, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA.
Panda Health, Inc, Atlanta, GA.

Classifications MeSH