Suppr超能文献

预测接受日间治疗的吸毒孕妇和产后妇女的住院时间。

Predicting length of stay of substance-using pregnant and postpartum women in day treatment.

作者信息

Bell K, Cramer-Benjamin D, Anastas J

机构信息

School for Social Work, Smith College, Northampton, MA 01063, USA.

出版信息

J Subst Abuse Treat. 1997 Jul-Aug;14(4):393-400. doi: 10.1016/s0740-5472(96)00111-0.

Abstract

Pregnant and postpartum substance-using women are a special population whose needs do not reflect those of the general substance-using communities. This study examined length of stay in a federally funded day treatment demonstration program in order to identify predictor variables that may help identify pregnant and postpartum substance-using women at high risk for dropping out of treatment. Variables from intake and exit questionnaires on a sample of 163 women were analyzed using multiple regression on both days in treatment and the logarithmic transformation of days in treatment. Few predictor variables were identified, although findings suggest that if a women is younger and self-referred, she may leave treatment sooner. As one of the first sets of published data on pregnant and postpartum women and retention in treatment, this study lays the groundwork for future research on the retention of pregnant and postpartum women in treatment, thereby facilitating the success of these women in overcoming their addiction.

摘要

怀孕及产后使用成瘾物质的女性是一个特殊群体,其需求与一般使用成瘾物质的群体不同。本研究调查了在一个由联邦政府资助的日间治疗示范项目中的住院时间,以确定可能有助于识别有退出治疗高风险的怀孕及产后使用成瘾物质女性的预测变量。对163名女性样本的入院和出院调查问卷中的变量进行了分析,采用多元回归分析了治疗天数以及治疗天数的对数变换。虽然研究结果表明,如果女性年龄较小且是自我转诊,可能会更早离开治疗,但识别出的预测变量很少。作为关于怀孕及产后女性和治疗留存率的首批已发表数据集之一,本研究为未来关于怀孕及产后女性治疗留存率的研究奠定了基础,从而促进这些女性成功克服成瘾问题。

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