Helen Bader School of Social Welfare at the University of Wisconsin-Milwaukee, 2400 E. Hartford Ave, Milwaukee, WI, 53201, USA.
Prev Sci. 2019 Jul;20(5):609-619. doi: 10.1007/s11121-019-01003-7.
Most evidence-based home visiting models are designed to support families from pregnancy through a child's second birthday, though programs often struggle to retain families for this long. Previous research on client and program factors that predict attrition has produced mixed results, which may be partly because attrition is typically conceptualized as a homogeneous phenomenon. The current study sampled 991 women who received home visiting services from one of 26 agencies in a statewide network of evidence-based programs. Participants who remained in services were compared to three types of early leavers: those who communicated their intent to leave (active attrition), those whose cases closed due to non-participation (passive attrition), and those who moved from the service area. Within a year of enrollment, 42% of women exited services. Cox regression results suggested no differences in the timing of service exit among the three attrition types. Multinomial analyses revealed that, when compared to participants who remained in services, active leavers were more likely to be married or cohabitating, while passive leavers were more likely to be younger, African American, unemployed, and to have a home visitor with low job satisfaction. Participants who moved were less likely to be Latina and employed. An early pattern of inconsistent attendance was the strongest predictor of active and passive withdrawal. Rates of attrition varied by home visiting model, though inconsistent attendance was a robust predictor of passive attrition across models. This study underscores the need to scrutinize service duration as a metric of success in home visiting.
大多数基于证据的家庭访视模式旨在从怀孕到孩子两岁时为家庭提供支持,但这些项目往往难以让家庭维持这么长时间的参与。先前关于预测退出的客户和项目因素的研究结果喜忧参半,这可能部分是因为退出通常被视为同质现象。本研究从全州范围内的循证项目网络中的 26 个机构中抽取了 991 名接受家庭访视服务的女性作为样本。与三种早期离开者进行了比较:那些表示有离开意向的人(主动退出)、因不参与而导致案件关闭的人(被动退出)以及那些从服务区域转移的人。在登记后的一年内,有 42%的女性退出了服务。Cox 回归结果表明,三种退出类型的服务退出时间没有差异。多项分析表明,与继续接受服务的参与者相比,主动离开者更有可能已婚或同居,而被动离开者更有可能年轻、非裔美国人、失业,以及家庭访视员的工作满意度较低。搬家的参与者不太可能是拉丁裔和有工作的。不稳定的出勤模式是主动和被动退出的最强预测因素。尽管在所有模型中,不稳定的出勤率都是被动退出的有力预测因素,但各种家庭访视模式的退出率存在差异。这项研究强调了需要仔细审查服务期限作为家庭访视成功的指标。