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

Contexts for Scaling Up Evidence-Based Preventive Interventions: Examining Factors That Influence the Likelihood of the Use of Research Language in Substance Use Legislation.

Elizabeth C Long, Matthew A Ogan, Annalise J Tolley, Leanna Kalinowski, Jessica Pugel, Patrick O'Neill, D Max Crowley, J Taylor Scott

Abstract read
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In one paragraph

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

8 authors.

Elizabeth C LongEvidence-to-Impact Collaborative, Pennsylvania State University, 434 Health and Human Development Building, University Park, PA, 16802, USA. ecl5218@psu.edu.ORCID http://orcid.org/0000-0001-9947-8132
Matthew A OganDepartment of Counseling, Human Development, and Family Science, University of Tennessee, Knoxville, TN, USA.
Annalise J TolleyDepartment of Psychological Science, University of North Carolina at Charlotte, Charlotte, NC, USA.
Leanna KalinowskiDepartment of Psychiatry and Behavioral Neurosciences & Offord Centre for Child Studies, McMaster University, Hamilton, ON, Canada.
Jessica PugelEvidence-to-Impact Collaborative, Pennsylvania State University, 434 Health and Human Development Building, University Park, PA, 16802, USA.
Patrick O'NeillEvidence-to-Impact Collaborative, Pennsylvania State University, 434 Health and Human Development Building, University Park, PA, 16802, USA.
D Max CrowleyEvidence-to-Impact Collaborative, Pennsylvania State University, 434 Health and Human Development Building, University Park, PA, 16802, USA.
J Taylor ScottEvidence-to-Impact Collaborative, Pennsylvania State University, 434 Health and Human Development Building, University Park, PA, 16802, USA.

Funding

Building the Science of Evidence-Informed Prevention Policy: A Multi-level Model for Supporting Substance Misuse PreventionR01DA056627 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI Daniel Max Crowley, Jennifer Taylor Scott · 2023 to 2026
$3.0M
Eunice Kennedy Shriver National Institute of Child Health and Human Development P50HD089922Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD116152Eunice Kennedy Shriver National Institute of Child Health and Human Development T32HD101390NIDA NIH HHS R01DA056627William T. Grant Foundation 204104William T. Grant Foundation 204871
6 · The paper itself

Abstract

Understanding the factors that influence whether research evidence on substance use and substance use disorders (SU/SUD) gets written into legislation can help identify opportunities for maximizing its uptake by policymakers and scaling up preventive interventions. Yet, limited work has examined the contexts that influence the adoption of evidence-based interventions and other uses of research evidence (URE) in US state-level bills. Baseline data were drawn from a randomized clinical trial. Using a multi-level design, we tested whether state-level contextual variables (level 2; e.g., economic conditions) and bill-level variables (level 1; e.g., sponsor count) influenced whether research was used in SU/SUD bills, and whether bill enactment was associated with its inclusion of URE. Legislation introduced between 2017 and 2022 (N = 47,087 bills) from 30 US states was examined. Of the 14 variables analyzed, five were significantly associated with URE. These included two level 2 state context variables: professionalism and innovation rate, as well as two level 1 bill-level variables: sponsor/co-sponsor count and bipartisan sponsorship/co-sponsorship, which were associated with an increased likelihood of SU/SUD bills containing URE. Lobbying regulations (a level 2 state context variable) was associated with a decreased likelihood. Bills that were enacted were more likely to contain URE than those that were not enacted. The variables that increased the likelihood of SU/SUD bills containing URE may reflect state legislators' capacity to use research and their value of it. However, some variables that were theoretically hypothesized to be associated with URE in bills were not (e.g., research and development expenditure). These findings suggest opportunities remain to improve URE in SU/SUD legislation.

Indexed as

Evidence-based policyLegislationPreventive interventionsResearch evidenceSubstance use

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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.