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• W2801402692 abstract "We conducted this study to better understand how emergency physicians estimate risk and make admission decisions for patients with low-risk chest pain.We created a Web-based survey consisting of 5 chest pain scenarios that included history, physical examination, ECG findings, and basic laboratory studies, including a negative initial troponin-level result. We administered the scenarios in random order to emergency medicine residents and faculty at 11 US emergency medicine residency programs. We randomized respondents to receive questions about 1 of 2 endpoints, acute coronary syndrome or serious complication (death, dysrhythmia, or congestive heart failure within 30 days). For each scenario, the respondent provided a quantitative estimate of the probability of the endpoint, a qualitative estimate of the risk of the endpoint (very low, low, moderate, high, or very high), and an admission decision. Respondents also provided demographic information and completed a 3-item Fear of Malpractice scale.Two hundred eight (65%) of 320 eligible physicians completed the survey, 73% of whom were residents. Ninety-five percent of respondents were wholly consistent (no admitted patient was assigned a lower probability than a discharged patient). For individual scenarios, probability estimates covered at least 4 orders of magnitude; admission rates for scenarios varied from 16% to 99%. The majority of respondents (>72%) had admission thresholds at or below a 1% probability of acute coronary syndrome. Respondents did not fully differentiate the probability of acute coronary syndrome and serious outcome; for each scenario, estimates for the two were quite similar despite a serious outcome being far less likely. Raters used the terms very low risk and low risk only when their probability estimates were less than 1%.The majority of respondents considered any probability greater than 1% for acute coronary syndrome or serious outcome to be at least moderate risk and warranting admission. Physicians used qualitative terms in ways fundamentally different from how they are used in ordinary conversation, which may lead to miscommunication during shared decisionmaking processes. These data suggest that probability or utility models are inadequate to describe physician decisionmaking for patients with chest pain." @default.
• W2801402692 created "2018-05-17" @default.
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• W2801402692 date "2018-11-01" @default.
• W2801402692 modified "2023-09-27" @default.
• W2801402692 title "Emergency Physician Risk Estimates and Admission Decisions for Chest Pain: A Web-Based Scenario Study" @default.
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• W2801402692 doi "https://doi.org/10.1016/j.annemergmed.2018.03.003" @default.
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