Evidence map›Paper›PMID 39580745›Full record

ArticleJournal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners

Estimating the Prevalence of Child Abuse and Neglect Among Adolescents in Primary Care Through Diagnoses Codes and Free-Text EHR Clinical Notes.

Rachel Y Lee, Aviv Y Landau, Paul M Heider, Rochelle F Hanson, Hannah C Espeleta, Kenrick D Cato, Maxim Topaz

Abstract read
In one paragraph

Article in Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners. 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

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

1 citing paper in PubMed.

  1. 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

7 authors.

Rachel Y Lee
Aviv Y Landau
Paul M Heider
Rochelle F Hanson
Hannah C Espeleta
Kenrick D Cato
Maxim Topaz

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

introductionAdolescents' child abuse and neglect experiences are often under-documented in primary care, leading to missed opportunities for interventions. This study compares the prevalence of child abuse and neglect cases identified by diagnostic codes versus a natural language processing approach of clinical notes.

methodWe retrospectively analyzed data from 8,157 adolescents, using ICD-10 codes and a natural language processing algorithm to identify child abuse and neglect cases and applied topic modeling on clinical notes to extract prevalent topics.

resultsThe natural language processing approach identified more cases of child abuse and neglect cases (n = 294) compared to ICD-10 codes (n = 111). Additionally, topic modeling of clinical notes showed the multifaceted nature of child abuse and neglect as captured in clinical narratives. DISCUSSION: Integrating natural language processing with ICD codes has the potential to enhance the identification and documentation of child abuse and neglect, which could lead to earlier and more targeted interventions and coordinated care.

Indexed as

Child AbuseElectronic Health RecordsPrimary Health CareAdolescentChildFemaleHumansInternational Classification of DiseasesMaleNatural Language ProcessingPrevalenceRetrospective Studiesartificial intelligencechildInternational Classification of DiseasesMistreatmentprimary health care

Identifiers

PMID39580745
PMCPMC11807751

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Registered trials

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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.