Suppr超能文献

互联网儿童虐待材料犯罪者的概念框架:基于评估风险因素的风险相关治疗。

A conceptual framework for internet child abuse material offenders: risk-relevant therapy based on assessed risk factors.

作者信息

Garrington Catherine, Kelty Sally, Rickwood Debra, Boer Douglas P

机构信息

Discipline of Psychology, School of Health Sciences, Faculty of Health, University of Canberra, Canberra, ACT, Australia.

出版信息

Psychiatr Psychol Law. 2023 Sep 24;31(6):1081-1097. doi: 10.1080/13218719.2023.2251149. eCollection 2024.

Abstract

Offenders who commit sexual offences against children are progressively recognised, prosecuted, assessed and treated. As technology advances, internet child sexual abuse material (I/CAM) offences increase in pertinence to forensic assessment and treatment. A new proposal in I/CAM therapeutics, the Estimated Risk of Internet Child Sexual Offending (ERICSO) is a framework for individualised, risk-relevant treatment formulation based on identified risk factors. An international scoping review of I/CAM treatment programmes was conducted prior to elucidating our proposed treatment model for I/CAM offenders. Combining risk-relevant and compassionate therapies, we propose a treatment framework based on the risk-needs-responsivity model and relevant factors, recognising diversity of I/CAM offenders. Incorporating proven constructs in offender assessment and treatment with specific application to the I/CAM offender cohort, the ERICSO assists professionals to formulate risk-relevant, individual therapy and set meaningful goals. The delivery of compassionate therapeutic interventions to I/CAM offenders will improve rehabilitative outcomes and community protection.

摘要

对儿童实施性犯罪的罪犯正逐渐得到识别、起诉、评估和治疗。随着技术的进步,网络儿童性虐待材料(I/CAM)犯罪在法医评估和治疗方面的相关性日益增加。I/CAM治疗学中的一项新提议,即网络儿童性犯罪估计风险(ERICSO),是一个基于已确定的风险因素进行个性化、与风险相关的治疗方案制定的框架。在阐明我们为I/CAM罪犯提议的治疗模式之前,对I/CAM治疗项目进行了一项国际范围的综述。结合与风险相关和富有同情心的疗法,我们基于风险-需求-反应性模型及相关因素提出了一个治疗框架,认识到I/CAM罪犯的多样性。ERICSO将经过验证的罪犯评估和治疗结构纳入其中,并特别应用于I/CAM罪犯群体,帮助专业人员制定与风险相关的个体治疗方案并设定有意义的目标。对I/CAM罪犯实施富有同情心的治疗干预将改善康复效果并加强社区保护。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/404c/11639055/b00f3bee0d02/TPPL_A_2251149_F0001_B.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验