Cognitive Aids in Obstetric Units: Design, Implementation, and Use.


Journal

Anesthesia and analgesia
ISSN: 1526-7598
Titre abrégé: Anesth Analg
Pays: United States
ID NLM: 1310650

Informations de publication

Date de publication:
05 2020
Historique:
pubmed: 20 8 2019
medline: 25 6 2020
entrez: 20 8 2019
Statut: ppublish

Résumé

Obstetrics has unique considerations for high stakes and dynamic clinical care of ≥2 patients. Obstetric crisis situations require efficient and coordinated responses from the entire multidisciplinary team. Actions that teams perform, or omit, can strongly impact peripartum and perinatal outcomes. Cognitive aids are tools that aim to improve patient safety, efficiency in health care management, and patient outcomes. However, they are intended to be combined with clinician judgment and training, not as absolute or exhaustive standards of care for patient management. There is simulation-based evidence showing efficacy of cognitive aids for enhancing appropriate team management during crises, especially with a reader role, with growing literature supporting use in obstetric and nonobstetric clinical settings when combined with local customization and implementation efforts. The purpose of this article is to summarize current understanding and available resources for cognitive aid design, implementation, and use in obstetrics and to highlight existing gaps that can stimulate further enhancement in this field.

Identifiants

pubmed: 31425259
doi: 10.1213/ANE.0000000000004354
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1341-1350

Auteurs

Gillian Abir (G)

From the Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.

Naola Austin (N)

From the Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.

Katherine M Seligman (KM)

Department of Anesthesiology and Critical Care Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico.

Barbara K Burian (BK)

Human Systems Integration Division, National Aeronautics and Space Administration, Ames Research Center, Moffett Field, Mountain View, California.

Sara N Goldhaber-Fiebert (SN)

From the Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California.

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Classifications MeSH