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Enregistrement W4392364987 · doi:10.3389/fpsyt.2024.1383848

Editorial: Reviews in psychiatry 2022: forensic psychiatry

2024· editorial· en· W4392364987 sur OpenAlexaff
Gary Chaimowitz

Notice bibliographique

RevueFrontiers in Psychiatry · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiquePsychosomatic Disorders and Their Treatments
Établissements canadiensMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Organismes subventionnairesnon disponible
Mots-clésForensic psychiatryPsychiatryCitationMilitary psychiatryMedicinePsychologyLibrary scienceMental healthComputer science

Résumé

récupéré en direct d'OpenAlex

I am pleased to introduce this edition's research topic review in forensic psychiatry. The breadth and depth of the submissions in this review speak to the robust nature of research in forensic psychiatry. The subjects of the articles are wide ranging, speaking to the innovative questions being asked in the field.Tomlin, Meise, Wagner and Vollm tackle a controversial topic that is trending internationally. Forensic psychiatry has historically tried to find an ethical home between the competing principles of beneficence and autonomy, especially given the coercive underpinnings of most, even most enlightened, forensic psychiatry systems.The rampant substance abuse epidemic and its impermeability to treatment as usual, continues to shock and dismay many in high middle-and low-income countries. It is not surprising then that there is an increased interest, including political interest, in mandatory substance use treatment for justice involved persons. This paper on mandatory substance use treatment in Germany provides some insight into the impact of this treatment on recidivism in this population. Key is their recommendation for further research with a focus on recovery and strength-based interventions. This paper provides guidance for much needed research-as our countries tackle substance use disorders. Mandatory substance use treatment clearly comes in many forms which provide opportunities to find a balance between choice and mandatory treatment, with recidivism only one of the outcomes we should measure.Aggression sits as a key behavior that is measured, predicted, managed and sometimes mitigated in forensic psychiatry practice. Being over-determined aggressive behaviours are difficult to understand and manage. Risk management strategies have utilized a variety of medications to treat the underlying illness or disorder contributing to aggression, or even simply targeting symptoms. Apart from treating the symptoms of schizophrenia and bipolar disorder, the use of medications to treat aggression generally has been variably successful and can be associated with significant troubling side effects. Chemical restraint can at times linger and evolve into "chemical restraining treatment", raising significant ethical concerns. Choy looks at alternative strategies to reduce aggression, specifically the impact of the Omega 3 fatty acids, vitamin D, magnesium and zinc. Omega 3 levels have long been studied in many medical and nutritional domains, but the results give us a useful focus for future research. This review provides us with fresh nonpharmacological ideas as we continue to search for and understand manage aggression.In in many countries art therapies have been phased out as treatment options in forensic psychiatry institutions or hospital, for a variety of reasons including financial and a paucity of research. The study by Abbing, Haeyen, Nyapati, Verboon and van Hooren addresses the limited research on the topic of art therapy, drama therapy and dance therapy. Their systemic review, thematic analysis and meta-analysis provides us with useful information. For example, the effect on risk and protective factors appears significant. They caution us as the analysis is explorative but again is a call then for more work on the effectiveness and mechanisms of change for arts therapies in forensic psychiatry. This is particularly welcome as sadly many programs in forensic psychiatry can take the form of a controlled hotel with medication administration as the main intervention.Terrorism and violent extremism have been common topics of discussion, review, study and speculation as of late. This is an area which is complex and difficult to understand. Apart from broad conclusions, and sometimes politically slanted, we know very little about the psychopathology, if there is psychopathology at all, of perpetrators of terror or violent extremism. Most of the studies have only looked at men. Rakhshandehroo, Duits, Bergman, Verkes and Kempers in the systematic review tackle the topic of female perpetrators of terrorism and violent extremism. Terrorism and violent extremism are not purely a male domain and in fact women are in increasing percentage of perpetrators. Curiously many studies assume an element of psychopathology when somebody commits a terrorist or extremist motivated act. They are however silent on the purely politically motivated violent acts, and where these derive from. Clearly personality disorders feature in some studies but to the surprise of the authors there is little known about the psychopathology of the female terror and violent extremism perpetrators. Although prediction management and risk of terrorism and violence extremism is the business of many agencies, disciplines and professions, forensic psychiatrists are often called on to provide expert opinions. This controversial area begs for more research.It is a pleasure to see the range of forensic psychiatry expertise as demonstrated by the articles in our review. Forensic psychiatry is a rapidly developing speciality and has moved beyond the medicolegal to other challenging areas. The authors in this review cover a wide range of topics and talk to the opportunities for more exploration and research as we try to improve our understanding of the many elements that make up the field of forensic psychiatry, particularly when it comes to trying to understand aggression and violence.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,045
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,042
Score d'incertitude au seuil0,141

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,045
Méta-épidémiologie (sens strict)0,0060,002
Méta-épidémiologie (sens large)0,0060,006
Bibliométrie0,0110,004
Études des sciences et des technologies0,0040,004
Communication savante0,0140,008
Science ouverte0,0070,003
Intégrité de la recherche0,0200,020
Charge utile insuffisante (le modèle a refusé de juger)0,0420,039

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,277
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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