Evidence map›Paper›PMID 39650743›Full record

ArticleDrug and alcohol dependence reports2024

The power of lived experience in optimizing US policymakers' engagement with substance use research: A series of rapid-cycle randomized controlled trials.

Elizabeth C Long, Riley Loria, Jessica Pugel, Patrick O'Neill, Camille C Cioffi, Charleen Hsuan, Glenn Sterner, D Max Crowley, J Taylor Scott

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 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

9 authors.

Elizabeth C LongEvidence-to-Impact Collaborative, Pennsylvania State University, 404 Health and Human Development Building, University Park, PA 16802, USA.
Riley LoriaDepartment of Psychology, University of Colorado Boulder, Muenzinger D244, 345 UCB, Boulder, CO 80309, USA.
Jessica PugelEvidence-to-Impact Collaborative, Pennsylvania State University, 404 Health and Human Development Building, University Park, PA 16802, USA.
Patrick O'NeillEvidence-to-Impact Collaborative, Pennsylvania State University, 404 Health and Human Development Building, University Park, PA 16802, USA.
Camille C CioffiPrevention Science Institute, University of Oregon, 6217 University of Oregon, Eugene, OR 97403, USA.
Charleen HsuanDepartment of Health Policy and Administration, Pennsylvania State University, 601B Donald H. Ford Building, University Park, PA 16802, USA.
Glenn SternerCriminal Justice Research Center, Pennsylvania State University, 1600 Woodland Road, 319 Executive Plaza, Abington, PA 19001, USA.
D Max CrowleyEvidence-to-Impact Collaborative, Pennsylvania State University, 404 Health and Human Development Building, University Park, PA 16802, USA.
J Taylor ScottEvidence-to-Impact Collaborative, Pennsylvania State University, 404 Health and Human Development Building, University Park, PA 16802, USA.

Funding

Supplement to Prevention Research Center: Parenting Among Women Who Are Opioid Users, Project 2P50DA048756 · NIDA · UNIVERSITY OF OREGON · PI MACKIEWICZ SEGHETE, KRISTEN L · 2019 to 2023
$18.0M
STRATIFIED CLUSTER RANDOMIZED TRIAL (SCRT) OF A CLINICAL DECISION RULE (CDR) FOR ABUSIVE HEAD TRAUMA (AHT)P50HD089922 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Hannah Milena Caroline Schreier · 2017 to 2026
$16.9M
PREVENTION AND METHODOLOGY TRAINING (PAMT)T32DA017629 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI Eric D Claus, Rina D Eiden · 2005 to 2026
$9.5M
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
A Patient Engagement Resource Center using Community-Based Participatory Action Research to Support Parents with Substance Use DisordersR24DA061209 · NIDA · UNIVERSITY OF OREGON · PI Camille C Cioffi, Leslie Diane Leve · 2024 to 2026
$1.4M
Strengthening Benefit-Cost Analyses of Substance Abuse PreventionF32DA034501 · NIDA · DUKE UNIVERSITY · PI CROWLEY, DANIEL MAX · 2012 to 2014
$150k
NICHD NIH HHS P50 HD089922NIDA NIH HHS F32 DA034501NIDA NIH HHS P50 DA048756NIDA NIH HHS R01 DA056627NIDA NIH HHS R24 DA061209NIDA NIH HHS T32 DA017629
6 · The paper itself

Abstract

Background: Research can inform policies on substance use/substance use disorders (SU/SUDs), yet there is limited experimental investigation into strategies for optimizing policymakers' engagement with SU/SUD research. This study tested the use of narratives to boost policymakers' research engagement. Methods: In five rapid-cycle randomized controlled trials, SU/SUD research fact sheets were emailed to US legislative policymakers. We tested the use of narratives on the number of email opens, fact sheet clicks, and replies, relative to control emails without narratives. Narratives described lived experience with SU/SUD or motivations to study SU/SUD. The sender was a person with lived experience who authored the narrative or an author of the fact sheet. Results: When the narrative was about the sender's Conclusions: Policymakers' engagement with SU/SUD research generally increased when the sender was telling their own story. This work highlights the power of people with lived experience and informs strategies for optimizing policymakers' engagement with SU/SUD research.

Indexed as

Drug policyResearch engagementScience-policy communicationSubstance use disorders

Identifiers

PMID39650743
PMCPMC11621502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.