School of Nursing, Yale University, Orange, CT, USA.
Child Study Center, Yale University, New Haven, CT, USA.
Child Maltreat. 2024 Feb;29(1):82-95. doi: 10.1177/10775595221118606. Epub 2022 Sep 2.
It is unclear if surveillance bias (increased reports to Child Protective Services [CPS] related to program involvement) has a substantial impact on evaluation of home visiting (HV) prevention programs. We estimated surveillance bias using data from Connecticut's HV program, birth certificates, CPS, and hospitals. Using propensity score matching, we identified 15,870 families similar to 4015 HV families. The difference-in-differences approach was used to estimate surveillance bias as the change in investigated reports from the last 6 months of program involvement to the next 6 months. The median age of the children at program exit was 1.2 years (range: 60 days, 5 years). We estimated that 25.6% of investigated reports in the HV group resulted from surveillance bias. We reviewed CPS reports of 194 home-visited families to determine if a home visitor made the report and found that 10% were directly from home visitors. Program evaluations should account for surveillance bias.
目前尚不清楚监测偏差（与项目参与相关的向儿童保护服务机构 [CPS] 的报告增加）是否对家访（HV）预防项目的评估产生重大影响。我们使用康涅狄格州 HV 计划、出生证明、CPS 和医院的数据来估计监测偏差。使用倾向评分匹配，我们确定了 15870 个与 4015 个 HV 家庭相似的家庭。采用差异中的差异方法来估计监测偏差，即将项目参与的最后 6 个月与下一个 6 个月的调查报告变化。计划退出时儿童的中位数年龄为 1.2 岁（范围：60 天，5 岁）。我们估计 HV 组中 25.6%的调查报告是由于监测偏差。我们审查了 194 个家访家庭的 CPS 报告，以确定家庭访问者是否提出了报告，发现其中 10%是直接来自家庭访问者。项目评估应考虑监测偏差。
