Evidence map›Paper›PMID 42461520›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2026

Achieving Early Childhood Home Visiting's Potential Through Precision Research-Reflections on the Value of Partnerships with Government Agencies.

Anne K Duggan

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Article in Prevention science : the official journal of the Society for Prevention Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Anne K DugganDepartment of Population, Family, and Reproductive Health, The Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD, 21205, USA. aduggan@jhu.edu.ORCID http://orcid.org/0000-0002-3465-3662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly 50 years of research confirms both the effectiveness of early childhood home visiting (HV) for expectant families and families with young children and the need to broaden and strengthen HV's benefits across diverse families and communities. But features of the prevailing research paradigm thwart achieving HV's potential as a prevention strategy. These include treating an HV model as a single intervention rather than a set of interventions; conducting single-model rather than cross-model studies; estimating average effects rather than testing for mediation and moderation; and describing HV interventions, mediators, and moderators using general and inconsistent terminology rather than a clear common language across models and studies. The field must shift to a precision research paradigm to learn how to tailor services to optimize benefits across diverse families and communities. A precision research framework focuses on HV interventions at a granular level and considers mediators and moderators of impacts on outcomes. A precision research paradigm also uses a precise common language, as in information science, to facilitate learning across HV models and across studies. Research partnerships with governmental agencies are critical for shifting to a precision paradigm. This commentary argues that, as partners, government agencies and researchers can carry out studies more consequential than those they could carry out alone. It grounds this argument in highlights of over 30 years of experience, accomplishments, and challenges of partnering with state and national government agencies in the USA. It concludes by considering what the shift to precision research will require of each stakeholder group going forward.

Indexed as

Early childhoodEvidence-based interventionsHealth disparitiesHome visitingImplementationPrecision research

Identifiers

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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.