Literature DB >> 27698212

The futility of risk prediction in psychiatry.

Roger Mulder1, Giles Newton-Howes2, Jeremy W Coid2.   

Abstract

Significant efforts have been made to identify risk factors associated with suicide. However, the evidence suggests that risk categorisation may be of limited value, or worse, potentially harmful, confusing clinical thinking. We argue instead for a shift in focus towards real engagement with the individual patient, their specific problems and circumstances. © The Royal College of Psychiatrists 2016.

Entities:  

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Year:  2016        PMID: 27698212     DOI: 10.1192/bjp.bp.116.184960

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  21 in total

Review 1.  Precision Medicine and Suicide: an Opportunity for Digital Health.

Authors:  Maria Luisa Barrigon; Philippe Courtet; Maria Oquendo; Enrique Baca-García
Journal:  Curr Psychiatry Rep       Date:  2019-11-28       Impact factor: 5.285

Review 2.  Fatal and Non-fatal Self-Injury in the USA: Critical Review of Current Trends and Innovations in Prevention.

Authors:  Gonzalo Martínez-Alés; Katherine M Keyes
Journal:  Curr Psychiatry Rep       Date:  2019-09-14       Impact factor: 5.285

Review 3.  Suicide prediction models: a critical review of recent research with recommendations for the way forward.

Authors:  Ronald C Kessler; Robert M Bossarte; Alex Luedtke; Alan M Zaslavsky; Jose R Zubizarreta
Journal:  Mol Psychiatry       Date:  2019-09-30       Impact factor: 15.992

4.  Should compulsory admission to hospital be part of suicide prevention strategies?

Authors:  Daniel Wei L Wang; Erminia Colucci
Journal:  BJPsych Bull       Date:  2017-06

5.  Predictors of suicide in the patient population admitted to a locked-door psychiatric acute ward.

Authors:  Roar Fosse; Wenche Ryberg; Merete Kvalsvik Carlsson; Jan Hammer
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

6.  Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System.

Authors:  Ronald C Kessler; Mark S Bauer; Todd M Bishop; Olga V Demler; Steven K Dobscha; Sarah M Gildea; Joseph L Goulet; Elizabeth Karras; Julie Kreyenbuhl; Sara J Landes; Howard Liu; Alex R Luedtke; Patrick Mair; William H B McAuliffe; Matthew Nock; Maria Petukhova; Wilfred R Pigeon; Nancy A Sampson; Jordan W Smoller; Lauren M Weinstock; Robert M Bossarte
Journal:  Front Psychiatry       Date:  2020-05-06       Impact factor: 4.157

7.  An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support.

Authors:  Mark Erik Larsen; Sofian Berrouiguet; Romain Billot; Jorge Lopez-Castroman; Isabelle Jaussent; Michel Walter; Philippe Lenca; Enrique Baca-García; Philippe Courtet
Journal:  JMIR Ment Health       Date:  2019-05-07

8.  Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning.

Authors:  Michael Sanderson; Andrew Gm Bulloch; JianLi Wang; Kimberly G Williams; Tyler Williamson; Scott B Patten
Journal:  EClinicalMedicine       Date:  2020-02-18

9.  Suicide Models and Treatment Models Are Separate Entities. What Does It Mean for Clinical Suicide Prevention?

Authors:  Konrad Michel
Journal:  Int J Environ Res Public Health       Date:  2021-05-17       Impact factor: 3.390

10.  Decision-making in crisis resolution and home treatment teams: The AWARE framework.

Authors:  Chiara Lombardo; Mónica Santos; Tine Van Bortel; Robert Croos; Ella Arensman; Manaan Kar Ray
Journal:  BJPsych Bull       Date:  2018-11-19
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