Evidence map›Paper›PMID 34560398›Full record

ArticleChild abuse & neglect2021

Maximizing the return on investment in Early Childhood Home Visiting through enhanced eligibility screening.

Kenneth A Dodge, W Benjamin Goodman, Yu Bai, Robert A Murphy, Karen O'Donnell

Open access · greenAbstract read
In one paragraph

Article in Child abuse & neglect, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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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

5 authors at 1 institution in 1 country.

Kenneth A DodgeDuke University, Durham, NC, United States of America. Electronic address: dodge@duke.edu.
W Benjamin GoodmanDuke University, Durham, NC, United States of America.
Yu BaiDuke University, Durham, NC, United States of America.
Robert A MurphyDuke University, Durham, NC, United States of America.
Karen O'DonnellDuke University, Durham, NC, United States of America.
Duke University · US

Funding

Community Prevention of Child MaltreatmentR01HD069981 · NICHD · DUKE UNIVERSITY · PI DODGE, KENNETH A · 2012 to 2022
$6.3M
NICHD NIH HHS R01 HD069981
6 · The paper itself

Abstract

backgroundThe MIECHV (Maternal, Infant, and Early Childhood Home Visiting) program invests substantial federal resources to prevent child maltreatment and emergency medical costs. Eligibility is based on screening of demographic or clinical risk factors, but because screening accuracy in predicting poor outcomes is unknown, assignment to home-visiting might miss high-risk families or waste resources on low-risk families.

objectivesTo guide eligibility decisions, this study tested accuracy of demographic and clinical screening in predicting child maltreatment and emergency medical care. PARTICIPANTS AND

settingA population-representative sample of 201 birthing mothers (39.8% Black, 33.8% Latina) in Durham, NC, was enrolled between July 2009, and December 2010, and followed through December 2015.

methodsParticipants were screened demographically (i.e., Medicaid, first-born, teenage, no high school diploma) and clinically (i.e., health/health care, parenting readiness, home safety, and parent mental health) at birth and followed through age 60 months, when Child Protective Services and hospital records were reviewed. Cox hazard models tested accuracy of prediction from screening variables.

resultsDemographic factors did not significantly predict outcomes, except having Medicaid/uninsured predicted more emergency medical care and being first-born was a (surprising) protective factor against a child maltreatment investigation. In contrast, clinical factors strongly predicted both maltreatment investigations (Hazard Ratio = 4.01 [95% CI = 1.97, 8.15], sensitivity = 0.70, specificity = 0.64, accuracy = 0.65) and emergency medical care (Hazard Ratio = 2.14 [95% CI = 1.03, 2.14], sensitivity = 0.50, specificity = 0.69, accuracy = 0.58).

conclusionsEven with added costs for clinical screening, selecting families for home visiting based on assessed clinical risk will improve accuracy and may yield a higher return on investment. The authors recommend a universal system of screening and care to support birthing families.

Indexed as

Child AbuseHouse CallsAdolescentChildChild, PreschoolChild Protective ServicesFemaleHumansInfantInfant, NewbornMothersParentingHome visitingRisk factorsScreening

Identifiers

PMID34560398
PMCPMC9623423
OpenAlexW3199544176

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.