Evidence map›Paper›PMID 42088556›Full record

ArticlePEC innovation2026

Community-informed design of personalized patient-facing materials to facilitate ED-initiated treatment of opioid use disorder.

Bidisha Nath, Deborah R Levy, Heather Strycharz, Raphael A G Sherak, James Gilkes, Carol Oladele, Daniel F Sarpong, Elizabeth M Schoenfeld, Kathryn Hawk, Kristen Panthagani and 4 more

Abstract read
In one paragraph

Article in PEC innovation, 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

14 authors.

Bidisha NathDepartment of Emergency Medicine, NYU Grossman School of Medicine, NY, USA.
Deborah R LevyDepartment of Biomedical Informatics and Data Sciences, Yale University School of Medicine, New Haven, CT, United States of America.
Heather StrycharzLove Local Design, Hamden, CT, United States of America.
Raphael A G SherakDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
James GilkesDepartment of Emergency Medicine, NYU Grossman School of Medicine, NY, USA.
Carol OladeleDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Daniel F SarpongDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Elizabeth M SchoenfeldDepartment of Emergency Medicine, UMass Chan- Baystate, Springfield, MA, United States of America.
Kathryn HawkDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Kristen PanthaganiDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Parth PatelUniversity of Connecticut School of Medicine, Farmington, CT, United States of America.
Carolina Diniz HooperDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Gail D'OnofrioDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Edward R MelnickDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.

Funding

ADAPT: Adaptive Decision support for Addiction TreatmentR33DA059884 · NIDA · YALE UNIVERSITY · PI Edward Robert Melnick · 2023 to 2026
$4.8M
NIDA NIH HHS R33 DA059884
6 · The paper itself

Abstract

Objectives: Despite evidence for safe and effective treatment of Opioid Use Disorder (OUD) with medications (MOUD), few patients engage in treatment. Among other barriers, patients report challenges related to generic ED discharge materials that fail to meet individual patients' MOUD-related needs and preferences. Our study aimed to design and develop an intervention to address this gap. Methods: This study adopted a community-engaged, user-centered design approach. A community advisory board (CAB), comprising individuals with lived experience of OUD, ED physicians, addiction experts, and community program staff, informed intervention design. An initial prototype was designed to address CAB-identified challenges The prototype was iteratively refined with end-user feedback to develop the final product. Results: The CAB-identified challenges to MOUD engagement included lengthy, generic MOUD discharge materials that fail to meet the urgent needs of patients in opioid withdrawal. The initial prototype was refined with feedback from 20 individuals with OUD and ED clinicians to develop the final product. The final product included a novel, multi-component intervention consisting of: (1) A clinician-facing intake form to identify patients' MOUD preferences and socio-economic needs, (2) a paper-based, customized ED discharge summary, containing essential information tailored to individual needs, (3) a QR code accessible, digital component, containing supplemental information, and (4) a patient-facing poster for the ED care area to encourage patients to discuss MOUD treatment with their clinicians. Innovation/conclusion: This innovative intervention can deliver customized MOUD-related patient education materials at ED discharge. A future trial will evaluate the intervention's effectiveness in improving patient MOUD engagement.

Indexed as

Patient-centeredPersonalized discharge materialsSubstance use (alcohol, drugs of abuse)Tailored patient education

Identifiers

PMID42088556
PMCPMC13138206

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.