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.

Highlights

  • Health care is characterized by limited time, uncertainty, high stakes, and resource constraints

  • The purpose of this paper is to investigate the role of three such factors in the context of a labor and delivery (L&D) unit: negative affect (NA), decision-making style, and time stress

  • In Hypothesis 3a, we suggested that time stress would moderate the relationship between analytical decision making and decision quality, such that analytical decision making would be more negatively related to decision quality as time stress increased

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Summary

Introduction

Health care is characterized by limited time, uncertainty, high stakes, and resource constraints. The contributors to health care error are multifaceted, one antecedent to low error rates is high-quality decision making (Hines, Luna, Lofthus, Marquardt, & Stelmokas, 2008; Reyna & Lloyd, 2006). We leverage trait activation theory (Tett & Burnett, 2003), wherein we examine both trait (Study 1) and state (Study 2) individual differences as influencing factors of decision making. To this end, we begin with a discussion of naturalistic decision making (NDM). Health care providers must often make swift, high-stakes decisions. Influencing factors of the decisionmaking process in this context have been understudied

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