Reduction of Central Line-associated Bloodstream Infection Through Focus on the Mesosystem: Standardization, Data, and Accountability.


Journal

Pediatric quality & safety
ISSN: 2472-0054
Titre abrégé: Pediatr Qual Saf
Pays: United States
ID NLM: 101702480

Informations de publication

Date de publication:
Historique:
received: 31 10 2019
accepted: 18 02 2020
entrez: 20 5 2020
pubmed: 20 5 2020
medline: 20 5 2020
Statut: epublish

Résumé

Efforts to reduce central line-associated bloodstream infection (CLABSI) rates require strong microsystems for success. However, variation in practices across units leads to challenges in ensuring accountability. We redesigned the organization's mesosystem to provide oversight and alignment of microsystem efforts and ensure accountability in the context of the macrosystem. We implemented an A3 framework to achieve reductions in CLABSI through adherence to known evidence-based bundles. We conducted this CLABSI reduction improvement initiative at a 395-bed freestanding, academic, university-affiliated children's hospital. A mesosystem-focused A3 emphasized bundle adherence through 3 key drivers (1) practice standardization, (2) data transparency, and (3) accountability. We evaluated the impact of this intervention on CLABSI rates during the pre-intervention (01/15-09/17) and post-intervention (07/18-06/19) periods using a Poisson model controlling for baseline trends. Our quarterly CLABSI rates during the pre-intervention period ranged from 1.0 to 2.3 CLABSIs per 1,000 central line-days. With the mesosystem in place, CLABSI rates ranged from 0.4 to 0.7 per 1,000 central line days during the post-intervention period. Adjusting for secular trends, we observed a statistically significant decrease in the post versus pre-intervention CLABSI rate of 71%. Our hospital-wide CLABSI rate declined for the first time in many years after the redesign of the mesosystem and a focus on practice standardization, data transparency, and accountability. Our approach highlights the importance of alignment across unit-level microsystems to ensure high-fidelity implementation of practice standards throughout the healthcare-delivery system.

Identifiants

pubmed: 32426638
doi: 10.1097/pq9.0000000000000272
pmc: PMC7190265
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e272

Informations de copyright

Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.

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Auteurs

Roshni Mathew (R)

Department of Pediatrics, Stanford University School of Medicine, Palo Alto, Calif.

Alison Simms (A)

Center for Pediatric and Maternal Health, Stanford Children's Health, Palo Alto, Calif.

Matthew Wood (M)

Center for Pediatric and Maternal Health, Stanford Children's Health, Palo Alto, Calif.

Kristine Taylor (K)

Center for Professional Excellence and Inquiry, Stanford Children's Health, Palo Alto, Calif.

Sarah Ferrari (S)

Center for Professional Excellence and Inquiry, Stanford Children's Health, Palo Alto, Calif.

Michelle Rhein (M)

Neonatal Intensive Care Unit, Lucile Packard Children's Hospital, Palo Alto, Calif.

Dionne Margallo (D)

Neonatal Intensive Care Unit, Lucile Packard Children's Hospital, Palo Alto, Calif.

Lisa C Bain (LC)

Department of Pediatrics, Stanford University School of Medicine, Palo Alto, Calif.
Neonatal Intensive Care Unit, Lucile Packard Children's Hospital, Palo Alto, Calif.

Amy K Valencia (AK)

Center for Pediatric and Maternal Health, Stanford Children's Health, Palo Alto, Calif.

Jessey Bargmann-Losche (J)

Center for Pediatric and Maternal Health, Stanford Children's Health, Palo Alto, Calif.

Lane F Donnelly (LF)

Department of Pediatrics, Stanford University School of Medicine, Palo Alto, Calif.
Center for Pediatric and Maternal Health, Stanford Children's Health, Palo Alto, Calif.
Department of Radiology, Stanford University School of Medicine, Palo Alto, Calif.

Grace M Lee (GM)

Department of Pediatrics, Stanford University School of Medicine, Palo Alto, Calif.

Classifications MeSH