National Needs Assessment of Utilization of Common Newborn Clinical Decision Support Tools.


Journal

American journal of perinatology
ISSN: 1098-8785
Titre abrégé: Am J Perinatol
Pays: United States
ID NLM: 8405212

Informations de publication

Date de publication:
19 Jun 2023
Historique:
pubmed: 20 5 2023
medline: 20 5 2023
entrez: 19 5 2023
Statut: aheadofprint

Résumé

 Clinical decision support tools (CDSTs) are common in neonatology, but utilization is rarely examined. We examined the utilization of four CDSTs in newborn care.  A 72-field needs assessment was developed. It was distributed to listservs encompassing trainees, nurse practitioners, hospitalists, and attendings. At the conclusion of data collection, responses were downloaded and analyzed.  We received 339 fully completed questionnaires. BiliTool and the Early-Onset Sepsis (EOS) tool were used by > 90% of respondents, the Bronchopulmonary Dysplasia tool by 39%, and the Extremely Preterm Birth tool by 72%. Common reasons CDSTs did not impact clinical care included lack of electronic health record integration, lack of confidence in prediction accuracy, and unhelpful predictions.  From a national sample of neonatal care providers, there is frequent but variable use of four CDSTs. Understanding the factors that contribute to tool utility is vital prior to development and implementation. · Clinical decision support tools are common in medicine.. · There is a varied use of neonatal CDST.. · Understanding the use of CDST is vital for future development..

Identifiants

pubmed: 37207674
doi: 10.1055/a-2096-2168
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHLBI NIH HHS
ID : K01 HL141771
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL141771
Pays : United States

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Kristyn Beam (K)

Department of Neonatology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Cindy Wang (C)

Department of Statistics, Harvard University, Cambridge, Massachusetts.

Andrew Beam (A)

Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.

Reese Clark (R)

The Pediatrix Center for Research, Education, Quality and Safety, Sunrise, Florida.

Veeral Tolia (V)

The Pediatrix Center for Research, Education, Quality and Safety, Sunrise, Florida.
Department of Pediatrics, Baylor University Medical Center, Dallas, Texas.

Kaashif Ahmad (K)

The Pediatrix Center for Research, Education, Quality and Safety, Sunrise, Florida.
Department of Pediatrics, The Woman's Hospital of Texas, Houston, Texas.

Classifications MeSH