Snyder-Fickler Elizabeth, Alban Carmen, Liu Yuerong, Rohrs Rosie, Blessing Laronda, Longenecker Teresa C, Sotolongo Emilia M, Byrd Jessalyn, Golonka Megan, Evans Kelly, Hurst Jillian, Gifford Elizabeth J
Center for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Eliot-Pearson Department of Child Study and Human Development, Tufts University, Medford, Massachusetts.
Child Youth Serv Rev. 2023 Dec;155. doi: 10.1016/j.childyouth.2023.107198. Epub 2023 Oct 5.
Intake reports from child protective service (CPS) agencies are the foundation for subsequent decisions and services within the child welfare system. They provide valuable information for understanding children's needs, yet the unstructured way that information is captured makes the information ascertained in these reports difficult to summarize. Utilizing CPS intake reports from a mid-sized urban county in the southeastern United States (N = 2,724), our study had three aims: (1) develop a coding system to abstract information from narrative CPS intake reports, (2) examine the prevalence of maltreatment subtypes, and (3) compare prevalence of maltreatment subtypes by screen-in/screen-out decisions. Improper discipline/physical abuse was the most common maltreatment subtype (34.6 %); over 40 % of reports involved a physical act toward the child not resulting in injury. Salient risk factors included caregiver drug use (20.6 %) and domestic violence (19 %). While substantial discrepancies were not found between screened-in and screened-out cases with respect to maltreatment types, maltreatment type-specific codes, or contributory factors, they were found for reporter type and child age. Our coding system to extract and assess child maltreatment intake narrative data can provide local agencies with descriptive information about why children come to their agency's attention and provide nuanced details regarding the children's and families' needs. This coding framework could be used to develop validated intake tools to better document and categorize child maltreatment which could inform the assessment/investigation process and create targeted prevention and intervention services for families that come to the attention of CPS.
儿童保护服务(CPS)机构的受理报告是儿童福利系统后续决策和服务的基础。它们为了解儿童需求提供了有价值的信息,但信息收集的非结构化方式使得这些报告中确定的信息难以总结。利用美国东南部一个中等规模城市县的CPS受理报告(N = 2724),我们的研究有三个目标:(1)开发一个编码系统,从叙述性的CPS受理报告中提取信息;(2)检查虐待亚型的患病率;(3)通过筛选入/筛选出的决定比较虐待亚型的患病率。不当管教/身体虐待是最常见的虐待亚型(34.6%);超过40%的报告涉及对儿童的身体行为但未造成伤害。显著的风险因素包括照顾者吸毒(20.6%)和家庭暴力(19%)。虽然在筛选入和筛选出的案件之间,在虐待类型、特定虐待类型代码或促成因素方面未发现重大差异,但在报告者类型和儿童年龄方面发现了差异。我们用于提取和评估儿童虐待受理叙述性数据的编码系统可以为地方机构提供关于儿童为何引起其机构关注的描述性信息,并提供有关儿童和家庭需求的细微细节。这个编码框架可用于开发经过验证的受理工具,以更好地记录和分类儿童虐待情况,这可为评估/调查过程提供信息,并为引起CPS关注的家庭创建有针对性的预防和干预服务。