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Implicit Racial Bias in Evaluation of Neonatal Opioid Withdrawal Syndrome.
Nyman, Katherine; Okolie, Francesca; Davis, Natalie L; Hager, Erin; El-Metwally, Dina.
Afiliación
  • Nyman K; University of California San Diego School of Medicine, San Diego, CA, USA.
  • Okolie F; Division of Neonatology, Rady Children's Hospital, San Diego, CA, USA.
  • Davis NL; University of Maryland Medical Center, Baltimore, MD, USA.
  • Hager E; Department of Pediatrics, University of Maryland School of Medicine, 110 South Paca Street, 8th Floor, Baltimore, MD, S-512, USA.
  • El-Metwally D; University of Maryland Medical Center, Baltimore, MD, USA.
J Racial Ethn Health Disparities ; 2023 Dec 18.
Article en En | MEDLINE | ID: mdl-38110799
ABSTRACT

OBJECTIVE:

To assess implicit bias by administrating the Modified Finnegan Score (MFS) for quantifying neonatal opioid withdrawal and to evaluate risk of decreased opioid treatment of Black versus White infants. STUDY

DESIGN:

Study participants were nurses recruited from a large tertiary care center who received three clinical vignettes portraying withdrawing infants and were randomized to receive an accompanying photo of either a Black or White infant. MFS results were compared for identical vignettes based on race of infant photo.

RESULTS:

Out of 275 nurses, 70 completed the survey. In vignette 2, nurses aged ≤35 years scored Black infants lower than White infants (MFS=8.3 ± 2 vs. 9.5 ± 1.2, p=0.012). Nurses with <5 years of experience and ≤10 years of experience also scored Black infants lower for the same vignette (8.2 ± 2.3 vs. 9.6 ± 1.2, p=0.032 and 8.3 ± 2 vs. 9.5 ± 1.2, p=0.0083).

CONCLUSION:

Implicit bias may contribute to the difference in opioid treatment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Racial Ethn Health Disparities Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Racial Ethn Health Disparities Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza