The Correlation Between Neonatal Intensive Care Unit Safety Culture and Quality of Care.


Journal

Journal of patient safety
ISSN: 1549-8425
Titre abrégé: J Patient Saf
Pays: United States
ID NLM: 101233393

Informations de publication

Date de publication:
12 2020
Historique:
pubmed: 9 11 2018
medline: 23 2 2021
entrez: 9 11 2018
Statut: ppublish

Résumé

Key validated clinical metrics are being used individually and in aggregate (Baby-MONITOR) to monitor the performance of neonatal intensive care units (NICUs). The degree to which perceptions of key components of safety culture, safety climate, and teamwork are related to aspects of NICU quality of care is poorly understood. The objective of this study was to test whether NICU performance on key clinical metrics correlates with caregiver perceptions of safety culture. Cross-sectional study of 6253 very low-birth-weight infants in 44 NICUs. We measured clinical quality via the Baby-MONITOR and its nine risk-adjusted and standardized subcomponents (antenatal corticosteroids, hypothermia, pneumothorax, healthcare-associated infection, chronic lung disease, retinopathy screen, discharge on any human milk, growth velocity, and mortality). A voluntary sample of 2073 of 3294 eligible professional caregivers provided ratings of safety and teamwork climate using the Safety Attitudes Questionnaire. We examined NICU-level variation across clinical and safety culture ratings and conducted correlation analysis of these dimensions. We found significant variation in clinical and safety culture metrics across NICUs. Neonatal intensive care unit teamwork and safety climate ratings were correlated with absence of healthcare-associated infection (r = 0.39 [P = 0.01] and r = 0.29 [P = 0.05], respectively). None of the other clinical metrics, individual or composite, were significantly correlated with teamwork or safety climate. Neonatal intensive care unit teamwork and safety climate were correlated with healthcare-associated infections but not with other quality metrics. Linkages to clinical measures of quality require additional research.

Identifiants

pubmed: 30407963
doi: 10.1097/PTS.0000000000000546
pmc: PMC6504623
mid: NIHMS1508584
pii: 01209203-202012000-00035
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e310-e316

Subventions

Organisme : NICHD NIH HHS
ID : K24 HD053771
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR003168
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD084679
Pays : United States

Références

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Auteurs

Eric J Thomas (EJ)

University of Texas at Houston - Memorial Hermann Center for Healthcare Quality and Safety, University of Texas Medical School, Houston, Texas.

Daniel S Tawfik (DS)

Division of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine; Stanford.

David Draper (D)

Department of Applied Mathematics and Statistics, Baskin School of Engineering University of California, Santa Cruz, California.

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Classifications MeSH