Evidence map›Paper›PMID 28609181›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Effect of the Earned Income Tax Credit on Hospital Admissions for Pediatric Abusive Head Trauma, 1995-2013.

Joanne Klevens, Brian Schmidt, Feijun Luo, Likang Xu, Katie A Ports, Rosalyn D Lee

Open access · bronzeAbstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
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

38 citing papers in PubMed, 94 citations in OpenAlex.

  1. State Labor Market Policies and Health.The Milbank quarterly · 2026
    Article
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  8. Intersection of adverse childhood experiences, suicide and overdose prevention.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2024
    Review
  9. Article
  10. The Relationship Between State-Level Earned Income Tax Credits and Violent Crime.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  11. Advanced child tax credit payments and national child abuse hotline contacts, 2019-2022.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Socioeconomic Factors and Pediatric Injury.Current trauma reports · 2023
    Review
  16. Article
  17. Earned Income Tax Credit and Youth Violence: Findings from the Youth Risk Behavior Surveillance System.Prevention science : the official journal of the Society for Prevention Research · 2022
    Article
  18. Article
  19. The Earned Income Tax Credit and Intimate Partner Violence.Journal of interpersonal violence · 2022
    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

6 authors at 3 institutions in 1 country.

Joanne Klevens1 National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Brian Schmidt2 Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Feijun Luo1 National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Likang Xu1 National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Katie A Ports1 National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Rosalyn D Lee1 National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
National Center for Injury Prevention and Control · USCenters for Disease Control and Prevention · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPolicies that increase household income, such as the earned income tax credit (EITC), have shown reductions on risk factors for child maltreatment (ie, poverty, maternal stress, depression), but evidence is lacking on whether the EITC actually reduces child maltreatment. We examined whether states' EITCs are associated with state rates of hospital admissions for abusive head trauma among children aged <2 years.

methodsWe conducted difference-in-difference analyses (ie, pre- and postdifferences in intervention vs control groups) of annual rates of states' hospital admissions attributed to abusive head trauma among children aged <2 years (ie, using aggregate data). We conducted analyses in 14 states with, and 13 states without, an EITC from 1995 to 2013, differentiating refundable EITCs (ie, tax filer gets money even if taxes are not owed) from nonrefundable EITCs (ie, tax filer gets credit only for any tax owed), controlling for state rates of child poverty, unemployment, high school graduation, and percentage of non-Latino white people.

resultsA refundable EITC was associated with a decrease of 3.1 abusive head trauma admissions per 100 000 population in children aged <2 years after controlling for confounders ( P = .08), but a nonrefundable EITC was not associated with a decrease ( P = .49). Tax refunds ranged from $108 to $1014 and $165 to $1648 for a single parent working full-time at minimum wage with 1 child or 2 children, respectively.

conclusionsOur findings with others suggest that policies such as the EITC that increase household income may prevent serious abusive head trauma.

Indexed as

Child AbuseCraniocerebral TraumaHumansIncomeIncome TaxInfantInfant, NewbornPatient AdmissionPovertyPublic PolicyUnemploymentchild abusechild maltreatmentpolicy evaluation

Identifiers

PMID28609181
PMCPMC5507428
OpenAlexW2626971788

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.