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Journal Article

Citation

Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. Child Abuse Negl. 2018; 85: 187-201.

Affiliation

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.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.chiabu.2018.01.014

PMID

29366596

Abstract

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.

Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.


Language: en

Keywords

Child abuse; Epidemiology; Internet; Scoping review; Social media; Surveillance

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