Evidence map›Paper›PMID 32145740›Full record

SynthesisBMC pediatrics2020

Identifying children exposed to maltreatment: a systematic review update.

Jill R McTavish, Andrea Gonzalez, Nancy Santesso, Jennifer C D MacGregor, Chris McKee, Harriet L MacMillan

Abstract readSystematic Review
In one paragraph

Synthesis in BMC pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Child Maltreatment and Intimate Partner Violence in Mental Health Settings.International journal of environmental research and public health · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Completing the picture: a proposed framework for child maltreatment surveillance and research in Canada.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2021
    Article
  18. Article
  19. Article
  20. Estimating the Prevalence of Child Abuse and Neglect Among Adolescents in Primary Care Through Diagnoses Codes and Free-Text EHR Clinical Notes.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jill R McTavishDepartment of Psychiatry & Behavioural Neurosciences, McMaster University, 1280 Main Street West, MIP 201A, Hamilton, ON, L8S 4K1, Canada. mctavisj@mcmaster.ca.ORCID 0000-0002-5009-9622
Andrea GonzalezDepartment of Psychiatry & Behavioural Neurosciences, McMaster University, 1280 Main Street West, MIP 201A, Hamilton, ON, L8S 4K1, Canada.
Nancy SantessoDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, 2C Area, Hamilton, ON, L8S 4K1, Canada.
Jennifer C D MacGregorFaculty of Information & Media Studies, Western University, FIMS & Nursing Building, Room 2050, London, ON, N6A 5B9, Canada.
Chris McKeeDepartment of Psychiatry & Behavioural Neurosciences, McMaster University, 1280 Main Street West, MIP 201A, Hamilton, ON, L8S 4K1, Canada.
Harriet L MacMillanDepartment of Psychiatry & Behavioural Neurosciences, McMaster University, 1280 Main Street West, MIP 201A, Hamilton, ON, L8S 4K1, Canada.

Funding

CIHR
6 · The paper itself

Abstract

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).

Indexed as

Child AbuseChildEmergency Service, HospitalFemaleHumansMass ScreeningCase-findingChild maltreatmentIdentificationScreening

Identifiers

PMID32145740
PMCPMC7060650

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.