Evidence map›Paper›PMID 26142071›Full record

ArticleAcademic pediatrics

The Accuracy of ICD Codes: Identifying Physical Abuse in 4 Children's Hospitals.

Anneka M Hooft, Andrea G Asnes, Nina Livingston, Stephanie Deutsch, Linda Cahill, Joanne N Wood, John M Leventhal

Abstract readMulticenter Study
In one paragraph

Article in Academic pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Explanatory capacity of measures of community context for paediatric injury hospitalisations in the USA.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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  11. Violence in the Great Recession.American journal of epidemiology · 2022
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  19. Accuracy of ICD-10-CM coding for physical child abuse in a paediatric level I trauma centre.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2021
    Article
  20. 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.

Anneka M HooftDepartment of Pediatrics, Yale School of Medicine, New Haven, Conn.
Andrea G AsnesDepartment of Pediatrics, Yale School of Medicine, New Haven, Conn.
Nina LivingstonDepartment of Pediatrics, University of Connecticut School of Medicine, Connecticut Children's Medical Center, Hartford, Conn.
Stephanie DeutschJ. E. and Z. B. Butler Child Advocacy Center, Children's Hospital at Montefiore, Bronx, NY.
Linda CahillJ. E. and Z. B. Butler Child Advocacy Center, Children's Hospital at Montefiore, Bronx, NY.
Joanne N WoodDivision of General Pediatrics and Policy Lab, Children's Hospital of Philadelphia, and Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa.
John M LeventhalDepartment of Pediatrics, Yale School of Medicine, New Haven, Conn. Electronic address: john.leventhal@yale.edu.

Funding

Occult Injury Screening and the Detection of Physical Abuse in Young ChildrenK23HD071967 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI WOOD, JOANNE NICOLE · 2012 to 2016
$628k
NICHD NIH HHS K23 HD071967
6 · The paper itself

Abstract

objectiveTo assess the accuracy of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), codes in identifying cases of child physical abuse in 4 children's hospitals.

methodsWe included all children evaluated by a child abuse pediatrician (CAP) for suspicion of abuse at 4 children's hospitals from January 1, 2007, to December 31, 2010. Subjects included both patients judged to have injuries from abuse and those judged to have injuries from accidents or to have medical problems. The ICD-9-CM codes entered in the hospital discharge database for each child were compared to the decisions made by the CAPs on the likelihood of abuse. Sensitivity and specificity were calculated. Medical records for discordant cases were abstracted and reviewed to assess factors contributing to coding discrepancies.

resultsOf 936 cases of suspected physical abuse, 65.8% occurred in children <1 year of age. CAPs rated 32.7% as abuse, 18.2% as unknown cause, and 49.1% as accident/medical cause. Sensitivity and specificity of ICD-9-CM codes for abuse were 73.5% (95% confidence interval 68.2, 78.4), and 92.4% (95% confidence interval 90.0, 94.0), respectively. Among hospitals, sensitivity ranged from 53.8% to 83.8% and specificity from 85.4% to 100%. Analysis of discordant cases revealed variations in coding practices and physicians' notations among hospitals that contributed to differences in sensitivity and specificity of ICD-9-CM codes in child physical abuse.

conclusionsOverall, the sensitivity and specificity of ICD-9-CM codes in identifying cases of child physical abuse were relatively low, suggesting both an under- and overcounting of abuse cases.

Indexed as

Clinical CodingInternational Classification of DiseasesPhysical AbuseChildChild AbuseChild, PreschoolFemaleHospitals, PediatricHumansInfantMaleSensitivity and SpecificityUnited StatesabuseepidemiologyICD-9-CM codes

Identifiers

PMID26142071
PMCPMC4739866

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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.