Compulsory psychiatric treatment checklist: Instrument development and clinical application

Instruments designed to evaluate the necessity of compulsory psychiatric treatment (CPT) are scarce to non-existent. We developed a 25-item Checklist (scoring 0 to 50) with four clusters (Legal, Danger, Historic and Cognitive), based on variables identified as relevant to compulsory treatment. The C...

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Bibliographic Details
Published in:International journal of law and psychiatry 2017-09, Vol.54, p.36-45
Main Authors: Brissos, Sofia, Vicente, Filipe, Oliveira, João Miguel, Sobreira, Gonçalo Santos, Gameiro, Zita, Moreira, Cátia Alves, Pinto da Costa, Mariana, Queirós, Marta, Mendes, Eva, Renca, Susana, Prata-Ribeiro, Henrique, Hoffmann, Maurício Scopel, Vieira, Fernando
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Aged, 80 and over
Case-Control Studies
Checklist - instrumentation
Checklist - standards
Cognition
Commitment of Mentally Ill - legislation & jurisprudence
Factor Analysis, Statistical
Female
Forensic Psychiatry - instrumentation
Hospitals
Humans
Logistic Models
Male
Mandatory Programs
Mental Disorders - diagnosis
Mental Disorders - therapy
Mental Health - legislation & jurisprudence
Middle Aged
Portugal
Psychiatric Status Rating Scales - standards
Psychometrics
Reproducibility of Results
Sensitivity and Specificity
Violence
Young Adult
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Summary:Instruments designed to evaluate the necessity of compulsory psychiatric treatment (CPT) are scarce to non-existent. We developed a 25-item Checklist (scoring 0 to 50) with four clusters (Legal, Danger, Historic and Cognitive), based on variables identified as relevant to compulsory treatment. The Compulsory Treatment Checklist (CTC) was filled with information on case (n=324) and control (n=251) subjects, evaluated under the Portuguese Mental Health Act (Law 36/98), in three hospitals. For internal validation, we used Confirmatory Factor Analysis (CFA), testing unidimensional and bifactor models. Multilevel logistic regression model (MLL) was used to predict the odds ratio (OR) for compulsory treatment based on the total scale score. Receiver Operating Characteristic analysis (ROC) was performed to predict compulsory treatment. CFA revealed the best fit indexes for the bifactor model, with all items loading on one General factor and the residual loading in the a priori predicted four specific factors. Reliability indexes were high for the General factor (88.4%), and low for specific factors (
ISSN:0160-2527
1873-6386
DOI:10.1016/j.ijlp.2017.07.004