Evidence map›Paper›PMID 39086908›Full record

ArticleChildren and youth services review2023

What do child maltreatment reports to Child Protective Services tell us about the needs families and communities are experiencing?

Elizabeth Snyder-Fickler, Carmen Alban, Yuerong Liu, Rosie Rohrs, Laronda Blessing, Teresa C Longenecker, Emilia M Sotolongo, Jessalyn Byrd, Megan Golonka, Kelly Evans and 2 more

Abstract read
In one paragraph

Article in Children and youth services review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Elizabeth Snyder-FicklerCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Carmen AlbanCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Yuerong LiuCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Rosie RohrsEliot-Pearson Department of Child Study and Human Development, Tufts University, Medford, Massachusetts.
Laronda BlessingCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Teresa C LongeneckerCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Emilia M SotolongoChild Trends, Chapel Hill, North Carolina.
Jessalyn ByrdClinical Research Institute, Government Trials & Networks, Duke University, Durham, North Carolina.
Megan GolonkaCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Kelly EvansCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.
Jillian HurstChildren's Health and Discovery Initiative, Duke University, Durham, North Carolina.
Elizabeth J GiffordCenter for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, North Carolina.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

Intake reports from child protective service (CPS) agencies are the foundation for subsequent decisions and services within the child welfare system. They provide valuable information for understanding children's needs, yet the unstructured way that information is captured makes the information ascertained in these reports difficult to summarize. Utilizing CPS intake reports from a mid-sized urban county in the southeastern United States (N = 2,724), our study had three aims: (1) develop a coding system to abstract information from narrative CPS intake reports, (2) examine the prevalence of maltreatment subtypes, and (3) compare prevalence of maltreatment subtypes by screen-in/screen-out decisions. Improper discipline/physical abuse was the most common maltreatment subtype (34.6 %); over 40 % of reports involved a physical act toward the child not resulting in injury. Salient risk factors included caregiver drug use (20.6 %) and domestic violence (19 %). While substantial discrepancies were not found between screened-in and screened-out cases with respect to maltreatment types, maltreatment type-specific codes, or contributory factors, they were found for reporter type and child age. Our coding system to extract and assess child maltreatment intake narrative data can provide local agencies with descriptive information about why children come to their agency's attention and provide nuanced details regarding the children's and families' needs. This coding framework could be used to develop validated intake tools to better document and categorize child maltreatment which could inform the assessment/investigation process and create targeted prevention and intervention services for families that come to the attention of CPS.

Identifiers

PMID39086908
PMCPMC11290314

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