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Colloquium: Predicting Self-Harm Among Psychiatric Inpatients in Real Time: An Example of Practice-Based Evidence

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Today's date is Sunday, February 28, 2021
Predicting Self-Harm Among Psychiatric Inpatients in Real Time: An Example of Practice-Based Evidence Other events...
Despite suicidal ideation exhibiting variability, limited research has examined the short-term course of suicidal ideation. We hypothesised first, that distinct patterns of suicidal ideation could be identified by tracking daily ratings of suicidal thinking, and second that a predictive model based on these ratings could allow early identification of those who self-harm. Latent Growth Class Analysis identified five classes on the basis of similar patterns of change in suicidal ideation. Patients who displayed prolonged suicidal ideation could be identified with improved sensitivity (89.66%) and negative predictive power (94%), compared to a model based on routine ratings of suicidality by staff at admission. These patients had a five-fold increased risk of self-harm. Therefore, daily measurement of suicidal ideation may identify inpatients at risk of self-harm, help to inform clinical decision-making and develop etiological models.
Speaker(s) Winthrop Professor Andrew Page
Location Bayliss Lecture Theatre, Chemistry, G33
Contact Elizabeth Thompson <[email protected]>
Start Tue, 27 Aug 2013 13:00
End Tue, 27 Aug 2013 14:00
Submitted by Elizabeth Thompson <[email protected]>
Last Updated Thu, 22 Aug 2013 07:45
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