Center for Child and Family Policy, Duke University, Durham, NC 27708-0545, USA.
Child Abuse Negl. 2013 Aug;37(8):555-65. doi: 10.1016/j.chiabu.2013.03.012. Epub 2013 May 6.
As nurse home visiting to prevent child maltreatment grows in popularity with both program administrators and legislators, it is important to understand engagement in such programs in order to improve their community-wide effects. This report examines family demographic and infant health risk factors that predict engagement and follow-through in a universal home-based maltreatment prevention program for new mothers in Durham County, North Carolina.
Trained staff members attempted to schedule home visits for all new mothers during the birthing hospital stay, and then nurses completed scheduled visits three to five weeks later. Medical record data was used to identify family demographic and infant health risk factors for maltreatment. These variables were used to predict program engagement (scheduling a visit) and follow-through (completing a scheduled visit).
Program staff members were successful in scheduling 78% of eligible families for a visit and completing 85% of scheduled visits. Overall, 66% of eligible families completed at least one visit. Structural equation modeling (SEM) analyses indicated that high demographic risk and low infant health risk were predictive of scheduling a visit. Both low demographic and infant health risk were predictive of visit completion.
Findings suggest that while higher demographic risk increases families' initial engagement, it might also inhibit their follow-through. Additionally, parents of medically at-risk infants may be particularly difficult to engage in universal home visiting interventions. Implications for recruitment strategies of home visiting programs are discussed.
随着护士家访预防儿童虐待在项目管理人员和立法者中越来越受欢迎,了解参与此类项目的情况对于提高其在社区中的效果非常重要。本报告考察了家庭人口统计学和婴儿健康风险因素,这些因素预测了北卡罗来纳州达勒姆县为新妈妈提供的普遍家庭虐待预防计划的参与度和后续行动。
经过培训的工作人员试图在分娩住院期间为所有新妈妈安排家访,然后护士在三到五周后完成预约访问。医疗记录数据用于确定虐待的家庭人口统计学和婴儿健康风险因素。这些变量用于预测计划的参与度(安排访问)和后续行动(完成预约访问)。
项目工作人员成功地为 78%的符合条件的家庭安排了访问,并完成了 85%的预约访问。总体而言,66%的符合条件的家庭完成了至少一次访问。结构方程模型(SEM)分析表明,高人口统计学风险和低婴儿健康风险预示着预约访问。低人口统计学和婴儿健康风险都预示着访问完成。
研究结果表明,尽管较高的人口统计学风险增加了家庭的初始参与度,但也可能抑制了他们的后续行动。此外,患有医疗风险婴儿的父母可能特别难以参与普遍的家庭探访干预措施。讨论了家访计划的招募策略的影响。