Evidence map›Paper›PMID 35678142›Full record

Observational studyChild maltreatment2024

Evidence-Based Home Visiting Provisions and Child Maltreatment Report Rates: County-Level Analysis of US National Data From 2016 to 2018.

Hyunil Kim, Eun-Jee Song, Liliane Windsor

Abstract readObservational Study
In one paragraph

Observational study in Child maltreatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Hyunil KimSchool of Social Work, University Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-4104-3387
Eun-Jee SongSchool of Social Work, University Illinois at Urbana-Champaign, Urbana, IL, USA.
Liliane WindsorSchool of Social Work, University Illinois at Urbana-Champaign, Urbana, IL, USA.

Funding

Public Policies, Community Conditions, and Child Abuse and Neglect: National and Statewide Data Analyses and Literature ReviewsK01CE003229 · CE · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI KIM, HYUNIL · 2020 to 2021
$211k
ACL HHS K01CE003229NCIPC CDC HHS K01 CE003229
6 · The paper itself

Abstract

This observational ecological study examined county-level associations between evidence-based home visiting (EHV) provisions and child maltreatment report (CMR) rates, using national county-level data from 2016-2018. We found that longitudinal changes of EHV provisions were significantly negatively associated with county CMR rates while controlling for potential confounders. Our model estimated that after EHV provisions were launched in counties, their CMR rates decreased (or after they were ceased, rates increased) by 2.21 per 1000 children overall, 2.88 per 1000 children aged 0-5, 2.59 per 1000 children aged 6-11, 2.13 per 1000 male children, and 2.24 per 1000 female children. When limiting attention to EHV provisions funded by the Maternal, Infant and Early Childhood Home Visiting (MIECHV) program, we found no significant association perhaps because MIECHV-funded EHV provisions were a small subset of all EHV provisions. These findings propose potential protective impacts of county EHV provisions on overall county CMR rates. Yet, the small effect sizes suggest that EHV provisions should be considered as a part of a complete response to child maltreatment rather than in isolation. Given that EHV is provided to a very small part of the population, nevertheless, our findings suggest that expanding coverage would increase effect sizes.

Indexed as

Child AbuseChildChild, PreschoolFamilyFemaleHouse CallsHumansInfantMalechild abusechild maltreatmentecological modelshome visitinglongitudinal researchmulti-level models

Identifiers

PMID35678142
PMCPMC9844259

What OpenQuestion holds

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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.