Unconscious Race and Class Biases among Registered Nurses: Vignette-Based Study Using Implicit Association Testing - 20/05/15
Abstract |
Background |
Implicit bias is an unconscious preference for a specific social group that can have adverse consequences for patient care. Acute care clinical vignettes were used to examine whether implicit race or class biases among registered nurses (RNs) impacted patient-management decisions.
Study Design |
In a prospective study conducted among surgical RNs at the Johns Hopkins Hospital, participants were presented 8 multi-stage clinical vignettes in which patients' race or social class were randomly altered. Registered nurses were administered implicit association tests (IATs) for social class and race. Ordered logistic regression was then used to examine associations among treatment differences, race, or social class, and RN's IAT scores. Spearman's rank coefficients comparing RN's implicit (IAT) and explicit (stated) preferences were also investigated.
Results |
Two hundred and forty-five RNs participated. The majority were female (n = 217 [88.5%]) and white (n = 203 [82.9%]). Most reported that they had no explicit race or class preferences (n = 174 [71.0%] and n = 108 [44.1%], respectively). However, only 36 nurses (14.7%) demonstrated no implicit race preference as measured by race IAT, and only 16 nurses (6.53%) displayed no implicit class preference on the class IAT. Implicit association tests scores did not statistically correlate with vignette-based clinical decision making. Spearman's rank coefficients comparing implicit (IAT) and explicit preferences also demonstrated no statistically significant correlation (r = −0.06; p = 0.340 and r = −0.06; p = 0.342, respectively).
Conclusions |
The majority of RNs displayed implicit preferences toward white race and upper social class patients on IAT assessment. However, unlike published data on physicians, implicit biases among RNs did not correlate with clinical decision making.
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Disclosure Information: Nothing to disclose. |
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Disclosures outside the scope of this work: Dr Haider is cofounder and equity holder in Patient Doctor Technologies, Inc., a patient engagement web platform aimed at improving care. Dr Schneider has pending patents unrelated to the study research, and his travel is funded for an unpaid consultancy. Dr Sriram runs a consultancy, Implisci, in Charlottesville, VA. Dr Haut is the PI of a contract with The Patient-Centered Outcomes Research Initiative, and receives royalties from Lippincott, Williams & Wilkins. Dr Provonost is on the board of Cantel Medical, is paid for speaking by Lehigh Speakers, and receives royalties from Penguin Publishing. Dr Cooper is a consultant for the MacArthur Foundation. |
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Support: Dr Haider received grants from NIH/NIGMS K23GM093112-01 and the American College of Surgeons C James Carrico Fellowship for the study of Trauma and Critical Care. Dr Cooper is supported by a grant from the National Heart, Lung, and Blood Institute (K24 HL 083113). |
Vol 220 - N° 6
P. 1077 - juin 2015 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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