Literature DB >> 25133921

Reporting guidance for violence risk assessment predictive validity studies: the RAGEE Statement.

Jay P Singh1, Suzanne Yang2, Edward P Mulvey3.   

Abstract

Available reporting guidelines for prognostic and diagnostic accuracy studies apply primarily to biological assessment and outcomes, overlooking behavioral issues with major public health and safety implications such as violence. The present study aimed to develop the first set of reporting guidance for predictive validity studies of violence risk assessments: the Risk Assessment Guidelines for the Evaluation of Efficacy (RAGEE) Statement. A systematic search of 8 electronic databases prior to September 2012 identified 279 reporting guidelines for prognostic and diagnostic accuracy studies. Unique items were extracted and modified to make them relevant to risk assessment. A 4-wave Delphi process involving a multidisciplinary team of 37 international experts resulted in a 50-item reporting checklist. The panelists endorsed the RAGEE Statement checklist as being highly satisfactory and as indicating study features that should be reported routinely in manuscripts. Use of these proposed standards has the potential to improve the quality of the risk assessment literature.

Mesh:

Year:  2014        PMID: 25133921     DOI: 10.1037/lhb0000090

Source DB:  PubMed          Journal:  Law Hum Behav        ISSN: 0147-7307


  6 in total

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2.  Predictive validity of the HCR-20V3 in a sample of Australian forensic psychiatric patients.

Authors:  Delene M Brookstein; Michael Daffern; James R P Ogloff; Rachel E Campbell; Chi Meng Chu
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3.  Risk Assessment in Habitual Offenders With Substance Use Problems: A Quasi-Prospective Study of the Predictive Validity of the HKT-30.

Authors:  Sylvia Lammers; Lot Kokkelink; Hein deHaan
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4.  Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records.

Authors:  Vincent Menger; Marco Spruit; Roel van Est; Eline Nap; Floor Scheepers
Journal:  JAMA Netw Open       Date:  2019-07-03

5.  An ontology-based documentation of data discovery and integration process in cancer outcomes research.

Authors:  Hansi Zhang; Yi Guo; Mattia Prosperi; Jiang Bian
Journal:  BMC Med Inform Decis Mak       Date:  2020-12-14       Impact factor: 2.796

6.  Assessing the Interactions between Strengths and Risk Factors of Recidivism through the Structured Assessment of Violence Risk in Youth (SAVRY).

Authors:  Elena Ortega-Campos; Juan García-García; Leticia De la Fuente-Sánchez; Flor Zaldívar-Basurto
Journal:  Int J Environ Res Public Health       Date:  2020-03-23       Impact factor: 3.390

  6 in total

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