Community Characteristics Associated With Seeking Medical Evaluation for Suspected Child Sexual Abuse in Greater Houston.

Community Characteristics Associated With Seeking Medical Evaluation for Suspected Child Sexual Abuse in Greater Houston.
复制标题

大休斯顿地区疑似儿童性虐待寻求医疗评估的相关社区特征。

DOI:
10.1007/s10935-016-0416-9
复制
发表时间:
2016
期刊:
The journal of primary prevention
影响因子:
--
通讯作者:
Giardino,AngeloPeter
Giardino,AngeloPeter
中科院分区:
--
文献类型:
--
作者:
Greeley,ChristopherSpencer;Chuo,Ching-Yi;Kwak,MinJi;Henin,SallyS;Donnaruma-Kwoh,Marcella;Ferrell,Jamie;Giardino,AngeloPeter

文献摘要

相似文献

儿童性虐待(CSA)在美国每年影响超过62,000名儿童。公共卫生预防战略取得成功的一个主要障碍是缺乏对社区一级CSA风险因素的了解。我们评估了2009年在大休斯顿地区寻求疑似CSA护理的儿童的社区水平特征。疑似CSA的医学评估总发生率为5.9/1000名儿童。我们提取了2009年在大休斯顿地区三个主要医疗系统寻求疑似CSA医学评估的1982名(86%)儿童的病历。我们评估了来自美国社区调查的18个社区水平变量,这些儿童居住在396个邮政编码。每个大休斯顿邮政编码的平均病例数为2. 77例(范围0-27),62%的邮政编码在调查的三个地点中的任何一个都没有病例。高于休斯顿平均空置率的邮政编码,从未结婚的女性和失业劳动力,家庭贫困率高,与儿童寻求疑似CSA的照顾率增加。我们证明了邮政编码水平的特点,这与儿童寻求照顾可疑CSA的比例增加。我们的建模过程和我们的数据对旨在改善CSA监测或预防的社区战略具有影响。确定当地具体社区一级因素的过程表明,目标地区具有特定的社会经济特点,这与寻求自我评估评价的比例增加有关。
Child sexual abuse (CSA) affects over 62,000 children annually in the United States. A primary obstacle to the success of a public health prevention strategy is the lack of knowledge around community level risk factors for CSA. We evaluated community level characteristics for children seeking care for suspected CSA in the Greater Houston area for 2009. There was a total incidence rate of medical evaluations for suspected CSA of 5.9/1000 children. We abstracted the medical charts of 1982 (86 %) children who sought a medical evaluation for suspected CSA at three main medical systems in the Greater Houston area for 2009. We evaluated 18 community level variables from the American Community Survey for the 396 zip codes these children lived in. The mean number of cases per Greater Houston zip code was 2.77 (range 0–27), with 62 % of zip codes not having a case at any of the three sites surveyed. Zip codes with a higher than Houston average rate of vacant houses, never married females and unemployed labor force with high family poverty rate, were associated with an increased rate of children seeking care for suspected CSA. We demonstrated zip codes level characteristics which were associated with an increased rate of children seeking care for suspected CSA. Our modelling process and our data have implications for community based strategies aimed at improved surveillance or prevention of CSA. The process of identifying locally specific community level factors suggests target areas which have particular socioeconomic characteristics which are associated with increased rate of seeking CSA evaluations.