Evidence map›Paper›PMID 41510298›Full record

ArticleResearch square2025

Co-Designing the PATH Harm Reduction Training for the Peer Workforce: A Community-Based Participatory Approach.

Garland Gerber, Dennis P Watson, Keoni K Bermoy, Lisa D Taylor, Ashli J Sheidow, Patrick F Hibbard, Justin S Bell, Adam Caba, Heather Ogdon, Samuel Peterson and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

12 authors.

Garland GerberNortheastern University.
Dennis P WatsonChestnut Health Systems.
Keoni K BermoyChestnut Health Systems.
Lisa D TaylorChestnut Health Systems.
Ashli J SheidowChestnut Health Systems.
Patrick F HibbardChestnut Health Systems.
Justin S BellChestnut Health Systems.
Adam CabaAND Services, LLC.
Heather OgdonHeartistic Recovery, LLC, Hadden Township.
Samuel PetersonFour Rivers Behavioral Health.
Robert J Richard-SnipesGreater Nashua Mental Health.
Venus StatonAlaskan AIDS Assistance Association.

Funding

Diversity Supplement: Building a Lasting Foundation to Advance Actionable Research on Recovery Support Services for High Risk Individuals with Opioid Use Disorder: The Initiative for JEAPR24DA051950 · NIDA · OREGON SOCIAL LEARNING CENTER, INC. · PI MCCART, MICHAEL R, SHEIDOW, ASHLI J · 2020 to 2025
$2.8M
PATH to reducing burnout among peers who deliver harm reduction services: Improving workforce and service system outcomes through a combined eLearning and group consultation interventionR61DA061340 · NIDA · CHESTNUT HEALTH SYSTEMS, INC. · PI WATSON, DENNIS PAUL · 2024 to 2024
$760k
NIDA NIH HHS R24 DA051950NIDA NIH HHS R61 DA061340
6 · The paper itself

Abstract

Background: Opioid use disorder and related overdoses remain a leading US public health challenge. Peer Recovery Specialists (PRS), individuals with lived experience who support others in recovery, frequently deliver harm reduction services but face high job demands, stigma, and role conflict due to abstinence-oriented norms. These stressors contribute to burnout, turnover, and diminished service quality. Despite growing recognition of PRSs' role in harm reduction, few interventions address their workforce development or resilience needs. To strengthen harm reduction delivery and workforce sustainability, we developed Peer Advanced Training in Harm reduction (PATH), a blended educational intervention co-designed with community partners using a Community-Based Participatory Research (CBPR) framework. Methods: PATH was designed to enhance PRSs' personal and job-related resources through (1) three one-hour eLearning modules that apply adult learning and narrative storytelling to shift stigmatizing attitudes and strengthen harm reduction skills, and (2) an ECHO-based case discussion series to build confidence, policy literacy, and organizational alignment. A Community Board (CB) of eight members with lived recovery, harm reduction, and related service experience guided iterative content prioritization across six meetings (February-June 2025). CB members brainstormed, ranked, and refined eLearning and ECHO topics through surveys and facilitated discussions. Cultural exchange surveys assessed perceptions of collaboration, communication, and trust between CB members and researchers at two time points. Results: CB deliberations identified relational harm reduction-emphasizing empathy, authenticity, and participant autonomy-as the unifying theme across all training modules. Four final eLearning modules emerged: Embracing the Harm Reduction Approach, Integrating Harm Reduction into Participant Recovery Plans, Supporting PRSs to Do Harm Reduction Work, and Advancing Harm Reduction. ECHO priorities were also refined to reflect the pragmatic nature of peer work as perceived by CB members. Cultural exchange ratings were uniformly high (mean > 5.5 on a 6-point scale), reflecting strong mutual respect, shared learning, and perceived impact. Conclusion: Through CBPR co-design, PATH demonstrates how centering people with lived/living experience can yield a culturally grounded, practice-ready workforce intervention that strengthens harm-reduction capacity and sustainability. Findings establish feasibility and guide the forthcoming pilot and subsequent clinical trial to assess PATH's impact on PRS workforce outcomes and service quality.

Indexed as

Behavioral Health WorkforceCo-designCommunity-Based Participatory ResearchCommunity BoardHarm ReductionPeer SupportsRecovery Rervices

Identifiers

PMID41510298
PMCPMC12776505

What OpenQuestion holds

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LicenceCC BY
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.