CHILD ABUSE REPORTING EXPERIENCE STUDY (CARES)

美国每年遭受虐待的儿童数量 继续增加。尽管有这个令人震惊的统计数字，初级保健 从业者(PCP)并不是涉嫌虐待儿童的经常记者 (扫描)到政府儿童保护机构(CP)。这样做的原因是 还不能理解。这项拟议的研究将提供第一个 小学生扫描管理的综合描述与分析 护理实践。 本研究是一项前瞻性描述性研究 16,000名儿童受伤。数据将在#年的《儿科研究》杂志上收集。 办公设置(PROS)网络使用的协议源自 在一个以实践为基础的区域研究网络(PBRN)中试点。四百 职业PCP每个人都将收集有关连续40次受伤就诊的信息。他们 将报告医疗诊断、人口统计信息以及他们的 涉嫌对儿童进行身体虐待。给初级保健中心的后续电话将 获取有关这些伤害的处理的进一步信息。此数据 将被用来构建小插曲。一个虐待儿童小组的反应 这些小插曲的专家将被用来评估PCP管理 涉嫌滥用和误报和漏报的比率 CPS。 收集的数据将用于实现以下具体目标 关于PCP扫描的护理：(1)确定与PCP相关的因素， 影响对虐待行为的识别；(2)识别与PCP相关的因素 影响对任何可疑伤害的管理；以及，(3)评估 儿童伤害的PCP管理。 将使用多元Logistic回归建模来开发稳健的 与扫描相关的PCP决策模型。这项研究将提供最多 全面描述了初级保健中的扫描，从而提供了重要的 虐待儿童领域的研究和政策所需的数据 识别和管理。

The number of children who are maltreated each year in the US continues to increase. Despite this alarming statistic, primary care practitioners (PCPs)are not frequent reporters of suspected child abuse (SCAN)to government child protection agencies (CPS). The reasons for this are not yet understood. This proposed research will provide the first comprehensive description and analysis of the management of SCAN in primary care practices. This study is a prospective descriptive study of practitioner management of 16,000 childhood injuries. Data will be collected in the Pediatric Research in Office Setting (PROS)Network using a protocol that is derived from one that was piloted in a regional practice-based research network (PBRN). Four hundred PROS PCP will each gather information about 40 consecutive injury visits. They will report medical diagnosis, demographic information, and their level of suspicion for child physical abuse. Follow-up telephone calls to the PCP will elicit further information about the management of these injuries. This data will be used to construct vignettes. The response of a panel of child abuse experts to these vignettes will be used to evaluate the PCP management of suspected abuse and the rate of false positive and false negative reports to CPS. The data collected will be used to address the following specific aims concerning the care of SCAN by PCPs: (1) Identify PCP related factors that affect identification of maltreatment; (2) Identify PCP related factors that affect management of any suspicious injuries; and, (3) Assess the validity of PCP management of childhood injuries. Multivariate logistic regression modeling will be used to develop a robust model of PCP decision-making concerning SCAN. This study will provide the most thorough description ever of SCAN in primary care, thus providing important data needed for both research and policy in the area of child abuse identification and management.