TY - JOUR
T1 - Patient Experience Surveys Reveal Gender-Biased Descriptions of Their Care Providers
AU - Haynes, Dylan
AU - Pampari, Anusri
AU - Topham, Christina
AU - Schwarzenberger, Kathryn
AU - Heath, Michael
AU - Zou, James
AU - Greiling, Teri M.
N1 - Funding Information:
The authors would like to acknowledge T Timbreza, Dan Forbes, and Kellen Strickland for their assistance obtaining survey information and provider demographics; Cynthia Morris, Somnath Saha, Anna Thorndike, and Patricia Carney for their guidance and support; and Dan Jurafsky, Emma Pierson, and Emile Latour for their assistance with analytic conceptualization.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2021/10
Y1 - 2021/10
N2 - Patient experience surveys (PES) are collected by healthcare systems as a surrogate marker of quality and published unedited online for the purpose of transparency, but these surveys may reflect gender biases directed toward healthcare providers. This retrospective study evaluated PES at a single university hospital between July 2016 and June 2018. Surveys were stratified by overall provider rating and self-identified provider gender. Adjectives from free-text survey comments were extracted using natural language processing techniques and applied to a statistical machine learning model to identify descriptors predictive of provider gender. 109,994 surveys were collected, 17,395 contained free-text comments describing 687 unique providers. The mean overall rating between male (8.84, n = 8558) and female (8.80, n = 8837) providers did not differ (p = 0.149). However, highly-rated male providers were more often described for their agentic qualities using adjectives such as “informative,” “forthright,” “superior,” and “utmost” (OR 1.48, p < 0.01)—whereas highly-rated female providers were more often described by their communal qualities through adjectives such as “empathetic,” “sweet,” “warm,” “attentive,” and “approachable” (OR 2.11, p < 0.0001). PES may contain gender stereotypes, raising questions about their impact on physicians and their validity as a quality metric which must be balanced with the need for unedited transparency. Future prospective studies are needed to further characterize this trend across geographically and racially diverse healthcare providers.
AB - Patient experience surveys (PES) are collected by healthcare systems as a surrogate marker of quality and published unedited online for the purpose of transparency, but these surveys may reflect gender biases directed toward healthcare providers. This retrospective study evaluated PES at a single university hospital between July 2016 and June 2018. Surveys were stratified by overall provider rating and self-identified provider gender. Adjectives from free-text survey comments were extracted using natural language processing techniques and applied to a statistical machine learning model to identify descriptors predictive of provider gender. 109,994 surveys were collected, 17,395 contained free-text comments describing 687 unique providers. The mean overall rating between male (8.84, n = 8558) and female (8.80, n = 8837) providers did not differ (p = 0.149). However, highly-rated male providers were more often described for their agentic qualities using adjectives such as “informative,” “forthright,” “superior,” and “utmost” (OR 1.48, p < 0.01)—whereas highly-rated female providers were more often described by their communal qualities through adjectives such as “empathetic,” “sweet,” “warm,” “attentive,” and “approachable” (OR 2.11, p < 0.0001). PES may contain gender stereotypes, raising questions about their impact on physicians and their validity as a quality metric which must be balanced with the need for unedited transparency. Future prospective studies are needed to further characterize this trend across geographically and racially diverse healthcare providers.
KW - Bias
KW - Gender
KW - Patient experience
KW - Survey
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U2 - 10.1007/s10916-021-01766-z
DO - 10.1007/s10916-021-01766-z
M3 - Article
C2 - 34468879
AN - SCOPUS:85114229778
SN - 0148-5598
VL - 45
JO - Journal of Medical Systems
JF - Journal of Medical Systems
IS - 10
M1 - 90
ER -