Scholarlink

<p>High drop-out rates of up to 50% among individuals committed under Section&#xa0;64 of the German Criminal Code (StGB) highlight the importance of valid predictors of treatment success. To identify predictive factors for treatment outcomes, longitudinal data were collected over several years from the 2019 intake cohort (<i>N</i> = 208) across 4&#xa0;forensic psychiatric hospitals in North Rhine-Westphalia. Treatment success was operationalized both through the formal criterion of status change (termination due to poor prognosis vs. attainment of the highest level of privileges) and through changes in the total score of the Level of Service Inventory-Revised (LSI-R) at that point in time. The LSI‑R revealed significant and differential changes over time between the two groups, with group differences already apparent at the outset of commitment. Multiple regression analyses based on LSI‑R change scores over time identified, among other factors, volitional stability and substance-related self-reflection as relevant predictors of success, explaining 27.3% of variance. Binary logistic regression analyses (with status change at the dependent variable) accounted for 42.4% of the variance and achieved a&#xa0;prediction accuracy of 73.7% for success or failure, with motor impulsivity emerging as a&#xa0;particularly strong predictor. Furthermore, moderation analyses revealed differential prediction effects depending on migration background, while age and educational level did not significantly influence any of the effects. The findings underscore the relevance of integrated risk and resource models for differentiated indication and prognostic assessments, even after the reform of Section&#xa0;64 StGB.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prädiktoren des Behandlungserfolgs unter besonderer Berücksichtigung des Level of Service Inventory-Revised (LSI-R) zu Beginn und im Verlauf einer Unterbringung gem. § 64 StGB

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月18日

查看全文
  • Lena-Marie Langenstück,
  • Julia Grotepaß,
  • Boris Schiffer

摘要

High drop-out rates of up to 50% among individuals committed under Section 64 of the German Criminal Code (StGB) highlight the importance of valid predictors of treatment success. To identify predictive factors for treatment outcomes, longitudinal data were collected over several years from the 2019 intake cohort (N = 208) across 4 forensic psychiatric hospitals in North Rhine-Westphalia. Treatment success was operationalized both through the formal criterion of status change (termination due to poor prognosis vs. attainment of the highest level of privileges) and through changes in the total score of the Level of Service Inventory-Revised (LSI-R) at that point in time. The LSI‑R revealed significant and differential changes over time between the two groups, with group differences already apparent at the outset of commitment. Multiple regression analyses based on LSI‑R change scores over time identified, among other factors, volitional stability and substance-related self-reflection as relevant predictors of success, explaining 27.3% of variance. Binary logistic regression analyses (with status change at the dependent variable) accounted for 42.4% of the variance and achieved a prediction accuracy of 73.7% for success or failure, with motor impulsivity emerging as a particularly strong predictor. Furthermore, moderation analyses revealed differential prediction effects depending on migration background, while age and educational level did not significantly influence any of the effects. The findings underscore the relevance of integrated risk and resource models for differentiated indication and prognostic assessments, even after the reform of Section 64 StGB.