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Identifying children exposed to maltreatment: a systematic review update

  • McTavish, Jill R.1
  • Gonzalez, Andrea1
  • Santesso, Nancy2
  • MacGregor, Jennifer C. D.3
  • McKee, Chris1
  • MacMillan, Harriet L.1, 1
  • 1 McMaster University, 1280 Main Street West, MIP 201A, Hamilton, ON, L8S 4K1, Canada , Hamilton (Canada)
  • 2 McMaster University, 1280 Main Street West, 2C Area, Hamilton, ON, L8S 4K1, Canada , Hamilton (Canada)
  • 3 Western University, FIMS & Nursing Building, Room 2050, London, ON, N6A 5B9, Canada , London (Canada)
Published Article
BMC Pediatrics
Springer (Biomed Central Ltd.)
Publication Date
Mar 07, 2020
DOI: 10.1186/s12887-020-2015-4
Springer Nature


BackgroundChild maltreatment affects a significant number of children globally. Strategies have been developed to identify children suspected of having been exposed to maltreatment with the aim of reducing further maltreatment and impairment. This systematic review evaluates the accuracy of strategies for identifying children exposed to maltreatment.MethodsWe conducted a systematic search of seven databases: Medline, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Cochrane Libraries, Sociological Abstracts and the Education Resources Information Center. We included studies published from 1961 to July 2, 2019 estimating the accuracy of instruments for identifying potential maltreatment of children, including neglect, physical abuse, emotional abuse, and sexual abuse. We extracted data about accuracy and narratively synthesised the evidence. For five studies—where the population and setting matched known prevalence estimates in an emergency department setting—we calculated false positives and negatives. We assessed risk of bias using QUADAS-2.ResultsWe included 32 articles (representing 31 studies) that evaluated various identification strategies, including three screening tools (SPUTOVAMO checklist, Escape instrument, and a 6-item screening questionnaire for child sex trafficking). No studies evaluated the effects of identification strategies on important outcomes for children. All studies were rated as having serious risk of bias (often because of verification bias). The findings suggest that use of the SPUTOVAMO and Escape screening tools at the population level (per 100,000) would result in hundreds of children being missed and thousands of children being over identified.ConclusionsThere is low to very low certainty evidence that the use of screening tools may result in high numbers of children being falsely suspected or missed. These harms may outweigh the potential benefits of using such tools in practice (PROSPERO 2016:CRD42016039659).

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