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技术增强早期家庭访视以预防儿童虐待:一项实用随机试验。

Technology to Augment Early Home Visitation for Child Maltreatment Prevention: A Pragmatic Randomized Trial.

机构信息

1 Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.

2 Merrill-Palmer Skillman Institute, Wayne State University, Detroit, MI, USA.

出版信息

Child Maltreat. 2017 Nov;22(4):334-343. doi: 10.1177/1077559517729890. Epub 2017 Sep 27.

Abstract

Early home visitation (EHV) for child maltreatment prevention is widely adopted but has received inconsistent empirical support. Supplementation with interactive software may facilitate attention to major risk factors and use of evidence-based approaches. We developed eight 20-min computer-delivered modules for use by mothers during the course of EHV. These modules were tested in a randomized trial in which 413 mothers were assigned to software-supplemented e-Parenting Program ( ePP), services as usual (SAU), or community referral conditions, with evaluation at 6 and 12 months. Outcomes included satisfaction, working alliance, EHV retention, child maltreatment, and child maltreatment risk factors. The software was well-received overall. At the 6-month follow-up, working alliance ratings were higher in the ePP condition relative to the SAU condition (Cohen's d = .36, p < .01), with no differences at 12 months. There were no between-group differences in maltreatment or major risk factors at either time point. Despite good acceptability and feasibility, these findings provide limited support for use of this software within EHV. These findings contribute to the mixed results seen across different models of EHV for child maltreatment prevention.

摘要

早期家庭访视(EHV)在儿童虐待预防中得到广泛应用,但得到的实证支持却不一致。补充互动软件可能有助于关注主要风险因素和使用循证方法。我们开发了 8 个 20 分钟的计算机交付模块,供母亲在 EHV 过程中使用。这些模块在一项随机试验中进行了测试,其中 413 名母亲被分配到软件补充的电子育儿计划(ePP)、常规服务(SAU)或社区转介条件,在 6 个月和 12 个月时进行评估。结果包括满意度、工作联盟、EHV 保留率、儿童虐待和儿童虐待风险因素。总体而言,该软件受到了好评。在 6 个月的随访中,ePP 条件下的工作联盟评分高于 SAU 条件(Cohen's d =.36,p <.01),而在 12 个月时没有差异。在任何时间点,两组之间在虐待或主要风险因素方面均无差异。尽管接受度和可行性良好,但这些发现对在 EHV 中使用该软件的支持有限。这些发现为儿童虐待预防的不同 EHV 模式所看到的混合结果做出了贡献。

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