Evidence map›Paper›PMID 29730828›Full record

ArticleEuropean journal of pediatrics2018

Child maltreatment identification rates in a child development center: suggestions for improved detection.

Mitchell Schertz, Yael Karni-Visel, Irit Hershkowitz, Michal Flaisher, Fabienne Hershkowitz

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Article in European journal of pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mitchell SchertzChild Development and Pediatric Neurology Service, Meuhedet-Northern Region, Simtat Atlit 6, 33501, Haifa, Israel. mitchell.schertz@gmail.com.ORCID http://orcid.org/0000-0002-6837-8638
Yael Karni-ViselChild Development and Pediatric Neurology Service, Meuhedet-Northern Region, Simtat Atlit 6, 33501, Haifa, Israel.
Irit HershkowitzFaculty of Health and Welfare, Haifa University, Haifa, Israel.
Michal FlaisherSocial Work Service, Meuhedet, Northern Region, Haifa, Israel.
Fabienne HershkowitzClinical Quality Department, Meuhedet, Tel Aviv, Israel.

Funding

Meuhedet Internal Funding
6 · The paper itself

Abstract

Under-identification of child maltreatment (CM) remains a significant problem. The study aim was to examine rates of CM identification in a child development center (CDC) vs. a community clinic (CC). This was a cross-sectional study, involving study (CDC) and comparison groups (CC) and using administrative data for the period 2011-2015. The study group consisted of children 0-18 years belonging to the Meuhedet Health Maintenance Organization (HMO)-Northern Region, who attended the CDC, including satellite clinics, for assessment/treatment. The CDC employed a multi-disciplinary approach to improve CM identification. The comparison group consisted of children with a disability belonging to the HMO, who attended a CC, but were not known to the CDC. Rates of CM identification, socio-demographic characteristics, and disability severity were compared. CM identification during the study period was 2.1% for the CDC vs. 0.8% for the CC. Children visiting the CDC had five times higher odds to be identified with suspected CM than children in the CC, after adjusting for age, gender, socioeconomic status, ethnicity, and disability severity.

conclusionCM identification rates in children with disability were higher in a CDC vs. CC. The approach used in the CDC may significantly improve CM identification in children with disability. What is Known: • There is significant under-identification of CM. What is New: • By examining child maltreatment identification rates in a child development center vs. the community, the study found that a multi-disciplinary staff approach can significantly improve CM Identification.

Indexed as

AdolescentChildChild AbuseChild Health ServicesChild, PreschoolChildren with DisabilitiesCommunity Health CentersCross-Sectional StudiesFemaleHumansInfantMaleChild development centerChild maltreatmentIdentificationMulti-disciplinary approach

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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.