Facilitation or Hindrance: Physicians' Perception on Best Practice Alerts (BPA) Usage in an Electronic Health Record System.


Journal

Health communication
ISSN: 1532-7027
Titre abrégé: Health Commun
Pays: England
ID NLM: 8908762

Informations de publication

Date de publication:
08 2019
Historique:
pubmed: 28 2 2018
medline: 16 7 2020
entrez: 28 2 2018
Statut: ppublish

Résumé

A qualitative study was conducted to examine physicians' perception on best practice alerts (BPAs) usage under the theoretical framework of technology acceptance model (TAM). In particular, 20 face-to-face in-depth interviews were conducted from September 2016 to February 2017 to collect data. Four themes emerged from the current set of data: support, de-escalation, management, and enhancement are physicians' perceived motivations of using BPAs; interactivity, timing, and interface design are key factors that influence physicians' perceived experiences of using BPAs; alert fatigue and inaccurate alters are major challenges and issues faced by physicians when using BPAs; and, control and team approach are physicians' perceptions on the future improvement of BPAs. This study not only offers a detailed description of physicians' perception of BPAs, revealing the rich meanings associated with this phenomenon, but also enriches our understanding of the TAM in the context of BPAs by uncovering the key dimensions of abstract constructs in the model.

Identifiants

pubmed: 29485296
doi: 10.1080/10410236.2018.1443263
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

942-948

Auteurs

Huan Chen (H)

a Department of Advertising, College of Journalism and Communications , University of Florida.

Earlesha Butler (E)

b College of Journalism and Communications , University of Florida.

Yi Guo (Y)

c Department of Health Outcomes and Biomedical Informatics, College of Medicine , University of Florida.

Thomas George (T)

d Department of Medicine, College of Medicine , University of Florida.

François Modave (F)

c Department of Health Outcomes and Biomedical Informatics, College of Medicine , University of Florida.

Matthew Gurka (M)

d Department of Medicine, College of Medicine , University of Florida.

Jiang Bian (J)

c Department of Health Outcomes and Biomedical Informatics, College of Medicine , University of Florida.

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Classifications MeSH