瑞典一家私人护理机构的药物使用障碍治疗辍学率及其相关风险因素。

Substance use : research and treatment Pub Date : 2025-04-12 eCollection Date: 2025-01-01 DOI:10.1177/29768357251332827
Kent Ehliasson, Johannes Eriksson, Riccardo LoMartire
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引用次数: 0

摘要

背景和目的:药物使用障碍住院治疗的辍学率仍然是一个重要的问题。为了增加对不同情况下辍学的了解,本研究的目的是量化瑞典一家提供药物使用障碍治疗的私人护理机构先前确定的年龄、性别和治疗时间的风险因素之间的关系。设计和方法:本回顾性队列研究的临床记录数据包括2014年1月1日至2022年6月30日在一家私营治疗机构进行物质使用障碍治疗出院的1334名成年客户。退出被定义为治疗在计划结束前终止。用多变量logistic回归模型分析了三个潜在危险因素与辍学之间的关系。以边际风险比率(95%置信区间)报告估计值。结果:1334名出院患者中,有34%的人中途退出,其中女性占38%,男性占33%。约52%的客户在30天内退出,42%的客户在30天至89天之间退出,约15%的客户在90天及以后退出。在多变量模型中,30至89天的治疗时间(3.08 [2.34,3.83]vs 90天)和3.55[2.72,4.39]的结论是:在治疗早期和年轻客户中,退出的风险更高,因此,为了减少私人机构护理的退出,重要的是在治疗方案的早期实施广泛的干预措施,以增加客户,特别是年轻客户继续接受治疗的动机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dropout from Substance Use Disorder Treatment at a Swedish Private Care Institution and Its Associated Risk Factors.

Background and objectives: The drop-out rate for inpatient treatment for substance use disorder continues to be a significant issue. To increase the knowledge about drop out in different settings, this study's objective was to quantify the association for the previously identified risk factors of age, sex, and time in treatment at a private care institution offering substance use disorder treatment in Sweden.

Design and methods: This retrospective cohort study of clinical record data included all 1334 adult clients who were discharged from substance use disorder treatment between 1 January 2014, to 30 June 2022, at one privately operated treatment institution. Drop out was defined as treatment terminated before the planned end. The association between three potential risk factors and drop out was analysed in a multivariable logistic regression model. Estimates were reported as marginal risk ratios (95% confidence intervals).

Results: Of 1334 discharged clients, 34% dropped out, corresponding to 38% of females and 33% of males. Approximately 52% of clients dropped out within 30 days, 42% dropped out between 30 and 89 days, and around 15% from 90 days and onwards. In the multivariable model, both time in treatment (3.08 [2.34, 3.83] for 30 to 89 days vs 90 days and 3.55 [2.72, 4.39] for <30 days vs ⩾90 days) and age (1.19 [1.14, 1.23] for one decade) showed a strong inverse association with drop out. The results did not support an association between sex and drop out (1.05 [0.89, 1.22]).

Conclusion: The risk for drop out is higher earlier in the treatment and for younger clients, so to reduce the drop out at private institutional care it is important to implement extensive interventions early in the treatment programme to increase the motivation for clients, particularly younger ones, to remain in treatment.

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