Review article: A primer for clinical researchers in the emergency department: Part XI. Inertia before investigation: Pre-test probability in emergency medicine

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Author(s)
Pellatt, Richard
Purdy, Eve
Keijzers, Gerben
Year published
2020
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Show full item recordAbstract
In this series, we address research topics in emergency medicine. Rational clinical decision making is based on knowledge of the disease prevalence, clinical assessment features and test characteristics such as sensitivity and specificity. The concept of pre‐test probability is important as it will allow the clinician and patient decide together if a ‘test threshold’ or ‘treatment threshold’ has been reached, or if further investigations are required to make such a decision. This research primer uses three case scenarios to explore these concepts.In this series, we address research topics in emergency medicine. Rational clinical decision making is based on knowledge of the disease prevalence, clinical assessment features and test characteristics such as sensitivity and specificity. The concept of pre‐test probability is important as it will allow the clinician and patient decide together if a ‘test threshold’ or ‘treatment threshold’ has been reached, or if further investigations are required to make such a decision. This research primer uses three case scenarios to explore these concepts.
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Journal Title
Emergency Medicine Australasia
Volume
32
Issue
3
Copyright Statement
© 2020 ACEM and ASEM. This is the peer reviewed version of the following article: PReview article: A primer for clinical researchers in the emergency department: Part XI. Inertia before investigation: Pre-test probability in emergency medicine, Emergency Medicine Australasia, 2020, 32 (3), pp. 377-382, which has been published in final form at https://doi.org/10.1111/1742-6723.13517. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
Subject
Clinical sciences
Health services and systems
Public health
Science & Technology
Life Sciences & Biomedicine
Emergency Medicine
clinical reasoning
pre-test probability