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ArticleHealth & justice2025

Site engagement in implementation research: Introducing SEAMLIS as a conceptual and measurement framework.

Sarah D Jones, John P Bartkowski, Steven Belenko, Jennifer E Becan, Faye S Taxman, Gail A Wasserman, Gregory A Aarons, Larkin S McReynolds, Cheyenne Dolbear, Xiaohe Xu

Registry-linked trialAbstract read
In one paragraph

Article in Health & justice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02672150 (Juvenile Justice Translational Research on Interventions for Adolescents in the Legal System), which is not on this 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.

NCT02672150 nacompletednot on this map

Juvenile Justice Translational Research on Interventions for Adolescents in the Legal System: Multi-site Implementation Study

TypeinterventionalSponsorChestnut Health SystemsRan2013 to 2019Enrolled839ConditionsSubstance Use DisordersArmsCore, Enhanced
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

10 authors.

Sarah D JonesTemple University, Philadelphia, USA. sarah.jones@temple.edu.
John P BartkowskiThe University of Texas at San Antonio, San Antonio, USA.
Steven BelenkoTemple University, Philadelphia, USA.
Jennifer E BecanTexas Christian University, Fort Worth, USA.
Faye S TaxmanGeorge Mason University, Fairfax, USA.
Gail A WassermanColumbia University, New York, USA.
Gregory A AaronsUniversity of California, San Diego, San Diego, USA.
Larkin S McReynoldsColumbia University, New York, USA.
Cheyenne Dolbear
Xiaohe XuThe University of Texas at San Antonio, San Antonio, USA.

Funding

Technical Assistance CoreU2CDA050097 · NIDA · GEORGE MASON UNIVERSITY · PI Todd David Molfenter · 2019 to 2026
$37.0M
Translational research to increase service access for NYS juvenile probationersU01DA036226 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WASSERMAN, GAIL A · 2013 to 2017
$3.8M
Statewide System and Organizational Strategy for Evidence-Based Practice Implementation and Sustainment in Substance Use Disorder TreatmentR01DA049891 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AARONS, GREGORY · 2020 to 2024
$3.6M
Temple University Center for Adolescent Implementation ResearchU01DA036225 · NIDA · TEMPLE UNIV OF THE COMMONWEALTH · PI BELENKO, STEVEN R · 2013 to 2017
$3.6M
Texas Research Initiative for Adolescents in the Legal System (TRIALS)U01DA036224 · NIDA · TEXAS CHRISTIAN UNIVERSITY · PI KNIGHT, DANICA K · 2013 to 2017
$3.2M
Recidivism of Justice-Involved Youth in Mississippi County Juvenile Courts Participating in JJ-TRIALSU01DA036176 · NIDA · MISSISSIPPI STATE UNIVERSITY · PI ROBERTSON, ANGELA A · 2013 to 2017
$2.5M
NIDA NIH HHS R01DA049891NIDA NIH HHS U01DA036176NIDA NIH HHS U01DA036224NIDA NIH HHS U01DA036225NIDA NIH HHS U01DA036226NIH HHS U2CDA050097
6 · The paper itself

Abstract

backgroundMultisite implementation research in justice and health settings often does not systematically assess differential degrees of project involvement among participating sites, despite its implications for both research and the intervention. Tracking organization and participant involvement across sites, when attempted, has typically entailed the use of discrete and sometimes disjointed fidelity measures that may not accurately reflect engagement with a project. This article advances a more comprehensive and sophisticated conceptual model for measuring and monitoring site engagement. This conceptual model was developed from a literature review of the implementation science and related disciplines while being informed by multisite project implementation experience. We propose the Site Engagement Activity Model Leveraging Implementation Science (SEAMLIS), a conceptual model that holistically identifies the breadth of agency participation (diverse activities such as trainings, meetings, etc.) and duration of site engagement (participation levels from inception to completion) to be measured, assessed, and reported. CASE PRESENTATION: We also describe Juvenile Justice Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS), a 36-site implementation research project, as an illustrative case example of our proposed model. We then operationalize all proposed domains and subdomains and specify key measures from the project.

conclusionsWe provide analytical recommendations for the application and future research of the proposed model in health and justice settings. In multisite implementation research, site engagement could be fruitfully used as an independent, dependent, or intervening (moderating or mediating) variable.

trial registrationNCT02672150, February 3, 2016.

Indexed as

HealthImplementation scienceInterventionJustice agenciesMeasurementSEAMLISSite engagement

Identifiers

PMID40616691
PMCPMC12228212

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.