Evidence map›Paper›PMID 40770670›Full record

ArticleImplementation science communications2025

Longitudinal evaluation examining implementation and sustainment of an opioid overdose education and naloxone distribution among veterans who are unstably housed.

Sarah J Javier, Amanda M Midboe, Taryn Perez, Angela M Kyrish, Madeleine Golding, Hannah Cheng, Kenneth Bruemmer, Danica Bogicevic

Abstract read
In one paragraph

Article in Implementation science communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Sarah J Javier *VA Health Systems Research Center for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, 795 Willow Road, Menlo Park, CA, 94025, USA. Sarah.Javier@va.gov.ORCID http://orcid.org/0000-0001-8365-8681
Amanda M Midboe *VA Health Systems Research Center for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Taryn PerezVA Health Systems Research Center for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Angela M KyrishVA Health Systems Research Center for Health Optimization and Implementation Research (CHOIR), VA Bedford Healthcare System, 200 Springs Road (152), Building 70, Bedford, MA, 01730, USA.
Madeleine GoldingVA Health Systems Research Center for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Hannah ChengVA Health Systems Research Center for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Kenneth BruemmerVHA Homeless Programs Office, Department of Veterans Affairs, 810 Vermont Avenue, NW Washington, DC, 20420, USA.
Danica BogicevicVHA Homeless Programs Office, Department of Veterans Affairs, 810 Vermont Avenue, NW Washington, DC, 20420, USA.

Funding

Quality Enhancement Research Initiative QUE 20-017
6 · The paper itself

Abstract

backgroundRigorous implementation evaluations are needed to understand factors that influence implementation and sustainability of evidence-based interventions across contexts. In this study, we conducted a longitudinal, multi-methods, multi-site evaluation guided by the Dynamic Sustainability Framework (DSF). This evaluation focused on implementation of the Homeless Overdose Prevention-Expansion (HOPE), an opioid overdose education and naloxone distribution (OEND) trial in a permanent supportive housing program in the Veterans Health Administration (VA).

methodsWe used a multi-methods study design comprised of qualitative interviews and completion of a three-item survey. Semi-structured interviews were completed with Department of Housing and Urban Development-VA Supportive Housing (HUD-VASH) staff, site leaders, and site prescribers at four VA healthcare systems in the Western United States. Interviews were conducted at three timepoints: pre-implementation, implementation, and sustainment. Site staff also completed the Provider REport of Sustainment Scale (PRESS) during sustainment to provide more context for our interpretation of results. We analyzed interview data using rapid directed content analysis guided by DSF constructs and analyzed PRESS using descriptive statistics.

resultsWe conducted 96 interviews with 67 unique individuals. Six determinants influenced the reciprocal fit of the intervention, practice setting, and ecological system across our study: (1) OEND for unstably housed veterans; (2) Staffing shortages and competing demands; (3) Training-related concerns; (4) Supervisor and leadership buy-in at site; (5) Social workers' scope of practice; and (6) Cultural climate and saliency of OEND initiatives. Both planned and unplanned implementation strategies were optimized by different actors (i.e., the implementation team, target practitioners) in response to evolving determinants at all three DSF levels to maintain overall fit. Approaches taken to optimize fit depended on longitudinal data collection and evaluation of determinants at each phase.

conclusionsOur approach is a theoretically driven example of capturing important determinants of implementation and sustainment of OEND in a high-risk setting. Despite the uniqueness of our study setting, our approach is generalizable and has the potential to promote sustainability of other public health interventions.

Indexed as

Harm reductionHomelessnessImplementationNaloxoneOpioidOverdosePermanent supportive housingQualitativeQuality improvementSustainabilityVeteran

Identifiers

PMID40770670
PMCPMC12330058

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.