ArticleFrontiers in psychiatry2020
Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia
Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review.Frontiers in psychiatry · 2024Pooled it
- Functional, Contextual, and Interventional Drivers of Formal Coercion in Acute Mental Health Units: A Feature Analysis.International journal of mental health nursing · 2026Article
- Development of a machine learning model for predicting compulsory psychiatric care using clinical notes.BMC psychiatry · 2025Article
- Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning.International journal of offender therapy and comparative criminology · 2024Article
- Prediction of Chinese clients' satisfaction with psychotherapy by machine learning.Frontiers in psychiatry · 2023Article
- Model Building in Forensic Psychiatry: A Machine Learning Approach to Screening Offender Patients with SSD.Diagnostics (Basel, Switzerland) · 2022Article
- Thinking Aloud or Screaming Inside: Exploratory Study of Sentiment Around Work.JMIR formative research · 2022Article
- Effectiveness of Artificial Intelligence Methods in Personalized Aggression Risk Prediction within Inpatient Psychiatric Treatment Settings-A Systematic Review.Journal of personalized medicine · 2022Review
- Exploring substance use as rule-violating behaviour during inpatient treatment of offender patients with schizophrenia.Criminal behaviour and mental health : CBMH · 2022Article
- Towards identifying cancer patients at risk to miss out on psycho-oncological treatment via machine learning.European journal of cancer care · 2022Article
- Maintaining social capital in offenders with schizophrenia spectrum disorder-An explorative analysis of influential factors.Frontiers in psychiatry · 2022Article
- Integrating machine learning with electronic health record data to facilitate detection of prolactin level and pharmacovigilance signals in olanzapine-treated patients.Frontiers in endocrinology · 2022Article
- The Prediction and Influential Factors of Violence in Male Schizophrenia Patients With Machine Learning Algorithms.Frontiers in psychiatry · 2022Article
- Predicting involuntary hospitalization in psychiatry: A machine learning investigation.European psychiatry : the journal of the Association of European Psychiatrists · 2021Article
- Exploring Similarities and Differences of Non-European Migrants among Forensic Patients with Schizophrenia.International journal of environmental research and public health · 2020Article
- Aims to Reduce Coercive Measures in Forensic Inpatient Treatment: A 9-Year Observational Study.Frontiers in psychiatry · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aims to explore risk factors for direct coercive measures (seclusion, restraint, involuntary medication) in a high risk subpopulation of offender patients with schizophrenia spectrum disorders.
methodsFive hundred sixty nine potential predictor variables were explored in terms of their predictive power for coercion/no coercion in a set of 131 (36.6%) offender patients who experienced coercion and 227 who did not, using machine learning analysis. The dataset was split (70/30%) applying variable filtering, machine learning model building, and selection embedded in nested resampling approach in one subset. The best model was then selected, and the most important variables extracted on the second data subset.
resultsIn the final model the following variables identified coercion with a balanced accuracy of 73.28% and a predictive power (area under the curve, AUC) of 0.8468: threat of violence, (actual) violence toward others, the application of direct coercive measures during past psychiatric inpatient treatments, the positive and negative syndrome scales (PANSS) poor impulse control, uncooperativeness, and hostility and the total PANSS-score at admission, prescription of haloperidol during inpatient treatment, the daily cumulative olanzapine equivalent antipsychotic dosage at discharge, and the legal prognosis estimated by a team of licensed forensic psychiatrists.
conclusionsResults confirm prior findings, add detail on factors indicative for the use of direct coercion, and provide clarification on inconsistencies. Limitations, clinical relevance, and avenues for future research are discussed.
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