The Kempe Center for The Prevention and Treatment of Child Abuse and Neglect, University of Colorado, Anschutz Medical Campus, 13123 E 16th Ave., Aurora, CO 80045, USA.
Public Health Agency of Canada, 785 Carling Ave., Ottawa, ON, K1A 0K9, Canada.
Child Abuse Negl. 2018 Nov;85:187-201. doi: 10.1016/j.chiabu.2018.01.014. Epub 2018 Feb 1.
Collecting child maltreatment data is a complicated undertaking for many reasons. As a result, there is an interest by child maltreatment researchers to develop methodologies that allow for the triangulation of data sources. To better understand how social media and internet-based technologies could contribute to these approaches, we conducted a scoping review to provide an overview of social media and internet-based methodologies for health research, to report results of evaluation and validation research on these methods, and to highlight studies with potential relevance to child maltreatment research and surveillance. Many approaches were identified in the broad health literature; however, there has been limited application of these approaches to child maltreatment. The most common use was recruiting participants or engaging existing participants using online methods. From the broad health literature, social media and internet-based approaches to surveillance and epidemiologic research appear promising. Many of the approaches are relatively low cost and easy to implement without extensive infrastructure, but there are also a range of limitations for each method. Several methods have a mixed record of validation and sources of error in estimation are not yet understood or predictable. In addition to the problems relevant to other health outcomes, child maltreatment researchers face additional challenges, including the complex ethical issues associated with both internet-based and child maltreatment research. If these issues are adequately addressed, social media and internet-based technologies may be a promising approach to reducing some of the limitations in existing child maltreatment data.
收集儿童虐待数据对于许多人来说是一项复杂的任务。因此,儿童虐待研究人员有兴趣开发能够对数据源进行三角剖分的方法。为了更好地了解社交媒体和基于互联网的技术如何能够促进这些方法,我们进行了范围界定综述,以提供社交媒体和基于互联网的健康研究方法概述,报告这些方法的评估和验证研究结果,并突出具有儿童虐待研究和监测潜在相关性的研究。在广泛的健康文献中确定了许多方法;然而,这些方法在儿童虐待中的应用有限。最常见的用途是使用在线方法招募参与者或参与现有参与者。从广泛的健康文献中可以看出,社交媒体和基于互联网的监测和流行病学研究方法似乎很有前景。许多方法的成本相对较低,无需广泛的基础设施即可轻松实施,但每种方法也存在一系列限制。一些方法的验证记录参差不齐,估计中的误差来源尚不清楚或不可预测。除了与其他健康结果相关的问题外,儿童虐待研究人员还面临其他挑战,包括与互联网和儿童虐待研究相关的复杂伦理问题。如果这些问题得到充分解决,社交媒体和基于互联网的技术可能是减少现有儿童虐待数据限制的一种有前途的方法。