Evidence map›Paper›PMID 25159585›Full record

ArticleChild maltreatment2015

Challenges in using medicaid claims to ascertain child maltreatment.

Ramesh Raghavan, Derek S Brown, Benjamin T Allaire, Lauren D Garfield, Raven E Ross, Donald Hedeker

Abstract read
In one paragraph

Article in Child maltreatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Disparities in detection of suspected child abuse.Journal of pediatric surgery · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. 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.

Ramesh RaghavanWashington University in St. Louis, MO, USA raghavan@wustl.edu.
Derek S BrownWashington University in St. Louis, MO, USA.
Benjamin T AllaireRTI International, Research Triangle Park, NC, USA.
Lauren D GarfieldWashington University in St. Louis, MO, USA.
Raven E RossWashington University in St. Louis, MO, USA.
Donald HedekerUniversity of Illinois, Chicago, IL, USA.

Funding

GWB MENTAL HEALTH SERVICE RESEARCH TRAININGT32MH019960 · NIMH · WASHINGTON UNIVERSITY · PI Leopoldo J Cabassa, Byron James Powell · 1995 to 2026
$11.1M
NUTRITION-BEHAVIORAL CARDIOVASCULAR DISEASE PREVENTIONT32HL007456 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 1985 to 2014
$2.9M
Reducing Disparities in Mental Health Expenditure Among Children in Child WelfareR01MH092312 · NIMH · WASHINGTON UNIVERSITY · PI RAGHAVAN, RAMESH · 2011 to 2013
$797k
STRENGTHENING MEDICAID-FUNDED MENTAL HEALTH COVERAGE FOR CHILDREN IN CHILD WELFARR01HS020269 · AHRQ · WASHINGTON UNIVERSITY · PI RAGHAVAN, RAMESH · 2011 to 2013
$634k
AHRQ HHS R01 HS020269NHLBI NIH HHS 2T32 HL007456-26NHLBI NIH HHS T32 HL007456NIMH NIH HHS R01 MH092312NIMH NIH HHS T32 MH019960PHS HHS HHSN271201200644P
6 · The paper itself

Abstract

Medicaid data contain International Classification of Diseases, Clinical Modification (ICD-9-CM) codes indicating maltreatment, yet there is a little information on how valid these codes are for the purposes of identifying maltreatment from health, as opposed to child welfare, data. This study assessed the validity of Medicaid codes in identifying maltreatment. Participants (n = 2,136) in the first National Survey of Child and Adolescent Well-Being were linked to their Medicaid claims obtained from 36 states. Caseworker determinations of maltreatment were compared with eight sets of ICD-9-CM codes. Of the 1,921 children identified by caseworkers as being maltreated, 15.2% had any relevant ICD-9-CM code in any of their Medicaid files across 4 years of observation. Maltreated boys and those of African American race had lower odds of displaying a maltreatment code. Using only Medicaid claims to identify maltreated children creates validity problems. Medicaid data linkage with other types of administrative data is required to better identify maltreated children.

Indexed as

Child WelfareInternational Classification of DiseasesMedicaidAdolescentChildChild AbuseChild, PreschoolCohort StudiesFemaleHealth SurveysHumansInsurance Claim ReviewLogistic ModelsMaleReproducibility of ResultsUnited Statesascertainmentmaltreatmentmedicaidvalidity

Identifiers

PMID25159585
PMCPMC4795463

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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.