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Enregistrement W6908587904 · doi:10.25958/4te4-5640

The first international study into the characteristics and statistical effectiveness of treatment for Indigenous and First Nations People who have sexually offended: A meta-analysis and survey of routine practice

2025· dissertation· en· W6908587904 sur OpenAlexaboutno aff

Notice bibliographique

RevueAustralasian Journal of Paramedicine · 2025
Typedissertation
Langueen
DomainePsychology
ThématiquePsychopathy, Forensic Psychiatry, Sexual Offending
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousRecidivismCulturally appropriateOddsDeveloping countryNarrativeReproductive healthTraditional knowledge

Résumé

récupéré en direct d'OpenAlex

Psycho-criminological literature has continued to examine post-treatment recidivism outcomes homogeneously for people who have sexually offended. Because results indicate clear differences between Indigenous and non-Indigenous people who have sexually offended, this project set out to understand the characteristics and effectiveness of treatment for Indigenous and First Nations people from four jurisdictions: Australia, New Zealand, Canada and the United States. A strategic three study strategy was implemented and resulted in a systematic narrative synthesis, meta-analysis and survey of sexual offender treatment organisations in Australia. The systematic review used a comprehensive and scientifically rigorous approach to identify studies (k = 14) that were critically appraised through an extensive data extraction process to report on demographic, treatment and recidivism data. Novel findings in relation to the characteristics of treatment for Indigenous people and the respective recidivism outcomes were provided. Over half of programs reported using a blended approach to treatment that included Western and culturally relevant practices, with the remaining studies taking a purely Westernised approach. The meta-analysis built on the systematic narrative review by statistically calculating the effectiveness of treatment for Indigenous and First Nations people from studies that contained a comparison group (k = 7). Using odds ratios and a random-effects model, findings suggest that although treatment was effective for Indigenous and First Nations people, it was most effective when programs utilised treatment that was of cultural relevance. Given there is limited published research on treatment outcomes for Indigenous and First Nations people, the final study overcame this barrier by directly surveying treatment providers in Australia (N = 12). This provided a foundation of knowledge and mapped out current practices in the field of treatment for Aboriginal and Torres Strait Islander people who had sexually offended and received treatment in Australia. Key insights into treatment practices were provided, including the development and theoretical foundations of treatment, current approaches, evaluation efforts and issues concerning the implementation of treatment for Aboriginal and Torres Strait Islander people. Although organisations implemented culturally relevant treatment approaches, it was more common to see Western therapeutic interventions at the forefront of practice. There was a lack of Aboriginal and Torres Strait Islander-specific risk and needs assessment tools, suggesting a lack of adherence to the principles of risk, need and responsivity among these organisations. Overall, results from all studies indicated that more research, stronger methodological approaches and clearer adherence to the principles of risk, need and responsivity were required before more definitive conclusions can be made. There are clear challenges faced by researchers and program facilitators to ensure programs are of a high calibre so that Indigenous and First Nations people achieve positive outcomes of reduced recidivism. Therefore, the thesis concludes with 21 recommendations to ensure the field continues to develop scholarly knowledge on best-practice approaches and methods of delivering treatment to Indigenous and First Nations people.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,341
Score d'incertitude au seuil0,981

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,043
Tête enseignante GPT0,393
Écart entre enseignants0,350 · 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 tête enseignante, pas un consensus.

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

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
Publié2025
Routes d'admission1
Résumé présentoui

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Même revueAustralasian Journal of ParamedicineMême sujetPsychopathy, Forensic Psychiatry, Sexual OffendingTravaux en français237 207