MétaCan
Menu
Retour à la cohorte
Enregistrement W4321376078 · doi:10.3389/fpsyt.2023.1145921

Editorial: Mental illnesses within correctional populations

2023· editorial· en· W4321376078 sur OpenAlexaff
Emily D. Gottfried, Michael J. Vitacco, Мини Mамак

Notice bibliographique

RevueFrontiers in Psychiatry · 2023
Typeeditorial
Langueen
DomainePsychology
ThématiquePsychopathy, Forensic Psychiatry, Sexual Offending
Établissements canadiensMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Organismes subventionnairesnon disponible
Mots-clésPsychiatryMental healthPsychologyMental illnessMedicine

Résumé

récupéré en direct d'OpenAlex

needs or mental health concerns (e.g., 7); and with strained institutional budgets and inadequate resources, many incarcerated persons do not receive sufficient or appropriate treatment (e.g., 8).The barriers inherent to incarceration prevent both the adequate treatment of mental illness and the resolution of factors that contribute to recidivism (e.g., 9).In this research topic, the authors assessed the impact of legal traditions on mental health treatment, differences between youths who desisted from serious violent offending from those who did not, risk factor differences for future sexual offending based on IQ scores, and auditory emotion processing in a forensic and non-forensic group of men with schizophrenia. 10), the authors examined international legal frameworks to include Common, Civil, and Islamic Law. They described the location of forensic services, number of forensic beds, and total number of psychiatric care beds in select countries in Europe, the Americas, Asia, Africa, and Oceania. In Europe, England and Wales were reported to have the greatest number of forensic beds (4,250 high/medium secure combined), while Austria was reported to have the least (384). In the Americas, the United States was reported to have the greatest number of forensic beds (7,835), while Chile was reported to have the least (209). In Asia, Russia was reported to have the greatest number of forensic beds (12,022 high/medium secure combined), while Pakistan was reported to have the least (33). In Africa, South Africa was reported to have the greatest number of forensic beds (1,676), while Nigeria was reported to have the least (22). Australia was reported to have 680 forensic beds and New Zealand was reported to have 221. The authors concluded that there was a "need for the optimization of forensic treatment standards on an international level." Barra et al. followed 129 young (i.e., 14 to 23 years old) men who were incarcerated in a juvenile detention facility for up to 15 years to assess factors relevant to serious, violent, and chronic (SVC) offending. The authors reported a high prevalence of mental health symptoms in the sample, especially externalizing problems. Encouragingly, the results indicated that some of the youths were able to desist from SVC offending, even those with a history of severe offending and highlighted "the need of effective early identification to reduce young people's risk of engaging in serious, violent, chronic delinquent careers." Those who desisted from SVC offending had fewer psychiatric symptoms, including fewer externalizing behaviors, attentional symptoms, serious alcohol use, and personality pathology. "Alarming alcohol use" was shown to significantly contribute to future SVC offending. The authors recommended that youths at risk for future serious offenses would benefit from mental health treatment focused on problematic alcohol use.in men who had committed sexual offenses based on IQ scores. The authors assessed 137 men who had been adjudicated not criminally responsible for a sexual offenses and the role of IQ scores on static and dynamic risk factors. Compared to men with higher IQ scores, those with low IQ (i.e., 70 or less) were younger; more likely to be never married and have problems with planning and self-awareness; and were less likely to have indecent contact behavior, indecent exposure, index violent crimes, have a nonviolent criminal history, previous sexual offenses, chronicity of sexual offending, coercive sexual behavior, escalation of sexual violence, sexual deviance, and alcohol or substance use problems. The authors concluded that static risk factors were "weak and insufficient" to accurately discriminate offenders with low IQ from those with higher IQ and recommended future studies investigate the dynamic risk factors that appeared to discriminate the two groups.Finally, Leshem et al. compared the auditory processing of spoken-emotions in 21 men diagnosed with schizophrenia who had been convicted of a violent offense (forensic group) and 45 men with schizophrenia and did not have a violent criminal history (non-forensic group). The authors reported that both groups identified spoken emotions, but the forensic group had better performance in emotion-discrimination than the non-forensic group. They hypothesized that the identification and discrimination of emotions may be affected by schizophrenia to a lesser degree in forensic groups and that the reduced ability to identify emotions in the non-forensic group may induce social withdrawal and reduce the risk of engaging in violence. The authors reported that the two groups did not differ in selective-attention. They recommended that "treatment programs in population must consider symptomatology, traits and history" and that emotion processing "forms a key target in the Integrated Neurocognitive Therapy for schizophrenia patients."This special issue focused on mental illness within correctional populations. By generating greater understanding of prevalence, risk assessment, and treatment it is the goal for more effective treatment programs to be administered in correctional settings. Innovative programs that deal with core aspects of untreated mental illness, allow a path forward for individuals who otherwise would be at higher risk for reoffending and returning to a correctional facility. This issue is an important, albeit small step in disseminating cutting edge research on mental illness in correctional populations.

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

Étiquettes directes de modèles (non validées)

Étiquettes de catégorie et de devis d'étude par modèle, issues des rondes d'étiquetage. C'est une sortie machine, non validée, et le désaccord entre modèles est livré comme donnée. Aucun devis ici n'est encore validé contre MEDLINE.

BrasCatégoriesDevis d'étudeConfiance
gemmaaucune catégorie
Domaine: non disponible · Genre: Éditorial
Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non
Sans objethigh
gptaucune catégorie
Domaine: non disponible · Genre: Éditorial
Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non
Sans objethigh
modèles en accordL'accord compare des ensembles de catégories et des devis identiques entre les bras.

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)0,004
score de la tête « metaresearch » (Gemma)0,022
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 enseignants0,043
Score d'incertitude au seuil0,145

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,022
Méta-épidémiologie (sens strict)0,0070,002
Méta-épidémiologie (sens large)0,0060,004
Bibliométrie0,0050,002
Études des sciences et des technologies0,0040,003
Communication savante0,0070,006
Science ouverte0,0070,001
Intégrité de la recherche0,0200,017
Charge utile insuffisante (le modèle a refusé de juger)0,0430,032

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 Opus0,018
Tête enseignante GPT0,326
Écart entre enseignants0,308 · 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

Étiqueté directement par 2 modèles lisant le dossier complet.

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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueFrontiers in PsychiatryMême sujetPsychopathy, Forensic Psychiatry, Sexual OffendingTravaux en français237 207