Journal article
M. Gregory, Shirley Sonesh, Jennifer Feitosa, Lauren E. Benishek, A. Hughes, E. Salas
Hum. Factors, 2017
Hum. Factors, 2017
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APA
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Gregory, M., Sonesh, S., Feitosa, J., Benishek, L. E., Hughes, A., & Salas, E. (2017). Decision Making on the Labor and Delivery Unit: An Investigation of Influencing Factors. Hum. Factors.
Chicago/Turabian
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Gregory, M., Shirley Sonesh, Jennifer Feitosa, Lauren E. Benishek, A. Hughes, and E. Salas. “Decision Making on the Labor and Delivery Unit: An Investigation of Influencing Factors.” Hum. Factors (2017).
MLA
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Gregory, M., et al. “Decision Making on the Labor and Delivery Unit: An Investigation of Influencing Factors.” Hum. Factors, 2017.
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@article{m2017a,
title = {Decision Making on the Labor and Delivery Unit: An Investigation of Influencing Factors},
year = {2017},
journal = {Hum. Factors},
author = {Gregory, M. and Sonesh, Shirley and Feitosa, Jennifer and Benishek, Lauren E. and Hughes, A. and Salas, E.}
}
Abstract
Objective The aim of this study was to describe the relationship between negative affect (NA), decision-making style, time stress, and decision quality in health care. Background Health care providers must often make swift, high-stakes decisions. Influencing factors of the decision-making process in this context have been understudied. Method Within a sample of labor and delivery nurses, physicians, and allied personnel, we used self-report measures to examine the impact of trait factors, including NA, decision-making style, and perceived time stress, on decision quality in a situational judgment test (Study 1). In Study 2, we observed the influence of state NA, state decision-making style, state time stress, and their relationship with decision quality on real clinical decisions. Results In Study 1, we found that trait NA significantly predicted avoidant decision-making style. Furthermore, those who were higher on trait time stress and trait avoidant decision-making style exhibited poorer decisions. In Study 2, we observed associations between state NA with state avoidant and analytical decision-making styles. We also observed that these decision-making styles, when considered in tandem with time stress, were influential in predicting clinical decision quality. Conclusion NA predicts some decision-making styles, and decision-making style can affect decision quality under time stress. This is particularly true for state factors. Application Individual differences, such as affect and decision-making style, should be considered during selection. Training to reduce time stress perceptions should be provided.
