Evidence map›Paper›PMID 36054017›Full record

ReviewChild maltreatment2024

Estimating Surveillance Bias in Child Maltreatment Reporting During Home Visiting Program Involvement.

Margaret L Holland, Denise Esserman, Rose M Taylor, Serena Flaherty, John M Leventhal

Abstract readReview
In one paragraph

Review in Child maltreatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Margaret L HollandSchool of Nursing, Yale University, Orange, CT, USA.ORCID 0000-0002-6205-1538
Denise EssermanSchool of Public Health, Yale University, New Haven, CT, USA.
Rose M TaylorSchool of Nursing, Yale University, Orange, CT, USA.
Serena FlahertySchool of Nursing, Yale University, Orange, CT, USA.
John M LeventhalDepartment of Pediatrics, Yale University, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The Effectiveness of an Early Childhood Home Visiting Program to Reduce Child MaltreatmentR03HD096114 · NICHD · YALE UNIVERSITY · PI HOLLAND, MARGARET LANGFORD · 2018 to 2019
$168k
NCATS NIH HHS UL1 TR001863NICHD NIH HHS R03 HD096114
6 · The paper itself

Abstract

It is unclear if surveillance bias (increased reports to Child Protective Services [CPS] related to program involvement) has a substantial impact on evaluation of home visiting (HV) prevention programs. We estimated surveillance bias using data from Connecticut's HV program, birth certificates, CPS, and hospitals. Using propensity score matching, we identified 15,870 families similar to 4015 HV families. The difference-in-differences approach was used to estimate surveillance bias as the change in investigated reports from the last 6 months of program involvement to the next 6 months. The median age of the children at program exit was 1.2 years (range: 60 days, 5 years). We estimated that 25.6% of investigated reports in the HV group resulted from surveillance bias. We reviewed CPS reports of 194 home-visited families to determine if a home visitor made the report and found that 10% were directly from home visitors. Program evaluations should account for surveillance bias.

Indexed as

Child AbuseChildChild Protective ServicesHouse CallsHumansInfantProgram Evaluationbiaschildchild abusechild protective servicesconnecticutprogram evaluationpropensity score

Identifiers

PMID36054017
PMCPMC10722865

What OpenQuestion holds

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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.