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Enregistrement W2412494130 · doi:10.1177/070674370705200416

Re: Community Treatment Orders for Psychiatric Patients: The Emperor with No Clothes

2007· letter· en· W2412494130 sur OpenAlexvenueno aff
Jeffrey W. Swanson, Marvin S. Swartz

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2007
Typeletter
Langueen
DomainePsychology
ThématiqueHealthcare Decision-Making and Restraints
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRecidivismPopulationMental healthPsychologyPsychiatryIntervention (counseling)Psychological interventionMedicine

Résumé

récupéré en direct d'OpenAlex

Dear Editor: We appreciated reading the spirited debate between Dr O'Reilly, on the one hand, and Dr Kisely and Ms Campbell, on the other, about community treatment orders (CTOs)14 and were pleased to see that the results of our North Carolina study5 continue to animate discussion of this important and controversial topic. Clearly, the use of legal leverage in community-based mental health treatment poses challenging questions for research and policy; it is hardly surprising that experts disagree, in good faith, about both the intervention and the evidence for its effectiveness. Several points underlying Kisely and Campbell's critique of our study in North Carolina warrant further comment. First, Kisely and Campbell write, The 1-year follow-up is therefore of a highly selected and potentially unrepresentative population that was not dangerous and was sufficiently compliant to participate in baseline and follow-up assessments.1,p 684 The attrition problem that these authors highlight (18% in our study) was substantial but irrelevant to the hospital outcome data. We included admissions data for all study participants-even dropouts-in the intent-to-treat analysis of hospital recidivism. Kisely and Campbell's suggestion that our study excluded all patients who were dangerous requires a qualifier. The exclusion criterion applied to patients with a documented recent history of serious violent behaviour involving weapon use or causing physical injury. However, one-third of randomized participants had engaged in acts of simple battery, or had been involved in physical fights, during the 4 months preceding enrolment. An additional 20% had made verbal threats of harm to others. Suicidality was also not an exclusion criterion. We think our study generalizes to a broader clinical population than one might imagine from reading Kisely and Campbell's critique. Second, these authors write that the study failed to show significant differences between intervention and control groups in terms of hospital or other outcomes ... over the following 12 months.1 In fact, using repeated-measures analysis, we found that assignment to the outpatient commitment group was associated with a significantly lower odds of any readmission (odds ratio 0.64; 95% confidence interval, 0.46 to 0.88; P As Kisely and Campbell correctly observe, our analysis also revealed that the apparent effect of the intervention was concentrated heavily among participants who received extended court-ordered treatment. Still, the result was sufficiently strong to achieve statistical significance for the experimental group as a whole. Finally, Kisely and Campbell state, Analysis of subjects who have not been randomly assigned to CTO groups of less or more than 180 days may reflect a bias where a CTO was selectively extended when it seemed to be helping the patient.1, p 684 Our evidence suggests the opposite was true. Participating mental health centres agreed in advance to systematically review each expiring court order and file a petition to renew if the patient continued to meet legal criteria for outpatient commitment. Consequently, patients with a history of treatment noncompliance and poor insight were significantly more likely to have their orders renewed. This possibly amounted to a selection bias, but one favouring a negative finding, making it harder-not easier-to show an effect for CTOs. In the end, some will be persuaded by these results and others will not. As researchers, we take no advocacy position with respect to the policy of CTOs. Our goal has been to help build a base of evidence to inform the policy debate. Clearly, however, this is an area that warrants careful reflection as well as further research in different populations and jurisdictions. …

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)0,008
score de la tête « metaresearch » (Gemma)0,062
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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,062
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,004
Communication savante0,0060,006
Science ouverte0,0040,001
Intégrité de la recherche0,0220,036
Charge utile insuffisante (le modèle a refusé de juger)0,0150,011

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 Opus0,045
Tête enseignante GPT0,334
Écart entre enseignants0,289 · 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
GenreCommentaire

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
Publié2007
Routes d'admission1
Résumé présentoui

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Même revueThe Canadian Journal of PsychiatryMême sujetHealthcare Decision-Making and RestraintsTravaux en français237 207