Evidence map›Paper›PMID 39838453›Full record

ArticlePilot and feasibility studies2025

Rapid Adaptation to Prevent Drug Use (RAPD): protocol of a pilot randomized trial to enhance the impact of an evidence-based intervention for youth.

Andria B Eisman, Christine Koffkey, Robert T Partridge, Suzanne Brown, Bo Kim

Registry-linked trialAbstract read
In one paragraph

Article in Pilot and feasibility studies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05806840 (Enhancing the Impact of Evidence-Based Prevention for Youth), 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.

NCT05806840 naunknown statusnot on this map

Enhancing the Impact of Evidence-Based Prevention for Youth: The Rapid Adaptation to Prevent Drug Use (RAPD) Implementation Study

TypeinterventionalSponsorWayne State UniversityRan2023 to 2025Enrolled12ConditionsSubstance UseArmsRapid Adaptation to Prevent Drug Use (RAPD), Standard Implementation
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

5 authors.

Andria B EismanDivision of Kinesiology, Health and Sport Studies, College of Education, Faculty/Administration Building, Community Health, Wayne State University, Detroit, MI, 48202, USA. aeisman@wayne.edu.ORCID http://orcid.org/0000-0002-4100-6543
Christine KoffkeyDivision of Kinesiology, Health and Sport Studies, College of Education, Faculty/Administration Building, Community Health, Wayne State University, Detroit, MI, 48202, USA.
Robert T PartridgeResearch Design and Analysis Unit, Department of Psychology, Wayne State University, Detroit, MI, 48202, USA.
Suzanne BrownSchool of Social Work, Wayne State University, Detroit, MI, 48202, USA.
Bo KimCenter for Healthcare Organization and Implementation Research, VA , Boston Healthcare System, 150 South Huntington Avenue, Boston, 02130, USA.

Funding

Enhancing the Impact of Evidence-Based Prevention for Youth: The Rapid Adaption to Prevent Drug Use (RAPD) Implementation StrategyR34DA056777 · NIDA · WAYNE STATE UNIVERSITY · PI EISMAN, ANDRIA B · 2022 to 2024
$693k
NIDA NIH HHS R34 DA056777
6 · The paper itself

Abstract

backgroundDrug use trends change rapidly among youth, leaving intervention experts struggling to respond promptly. Delays in responses can lead to preventable morbidity and mortality. The COVID-19 pandemic underscored the need for implementation science to facilitate rapid, equitable responses using existing treatment and prevention efforts. Existing, widely adopted evidence-based interventions (EBIs; e.g., the Michigan Model for Health™: MMH) are well suited to address emerging drug trends. We have a critical need to advance implementation strategies to optimize system responsiveness to these emerging drug issues. This research aims to design and test implementation strategies to (1) improve the responsiveness of school-based EBIs in addressing urgent issues and (2) find ways to support teachers in implementing updated EBIs, attending to unique considerations of schools serving economically disadvantaged students.

methodsThe research aims are as follows: aim 1: identify implementation gaps and best practices using After Action Review (a reflective process used by health organizations in responding to emergent public health events) using qualitative methods. Aim 2: design and pilot test RAPD (Rapid Adaptation to Prevent Drug use) based on aim 1 findings. RAPD refers to a novel set of implementation strategies designed to enhance the capacity of an existing, widely adopted evidence-based universal prevention curriculum (MMH) to respond to emerging drug issues among youth. We will pilot test RAPD in ten middle schools serving diverse student populations using a two-group, mixed method, cluster randomized controlled trial design. Aim 3: assess the costs and benefits of RAPD from multiple partner perspectives using a mixed methods approach. DISCUSSION: This study focuses on designing and deploying implementation strategies to reduce the detrimental impact of emerging drugs and provide an infrastructure to make future adaptations that can be applied in other contexts. After Action Review (AAR) provides a valuable opportunity to review the statewide response to past drug use events, specifically the vaping crisis, using the MMH curriculum, which can systematically guide implementation strategy selection and deployment to meet identified gaps. The rationale for the proposed research is that designing and testing RAPD will advance implementation science in responding to urgent public health events and ensure equitable responses across youth populations.

trial registrationClinicalTrials.gov NCT05806840 .

Indexed as

AdolescenceBehavioral interventionDrug useEconomicsEducationImplementation sciencePrevention

Identifiers

PMID39838453
PMCPMC11748840

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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.