Evidence map›Paper›PMID 37790176›Full record

ArticleImplementation research and practice

Co-occurring implementation strategies: The effects of academic detailing for opioid use disorder campaign on the advancing pharmacological treatments for opioid use disorder (ADaPT-OUD) study.

Wendy A Miller, Adam J Gordon, Barbara A Clothier, Princess E Ackland, Mark Bounthavong, Carla Garcia, Marie E Kenny, Siamak Noorbaloochi, Hildi J Hagedorn

Open access · goldAbstract read
In one paragraph

Article in Implementation research and practice. 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
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0citing papers in PubMed
–field-weighted citation impact, top 77% of its field
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, 0 citations in OpenAlex.

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

9 authors at 4 institutions in 1 country.

Wendy A MillerCenter for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0002-2998-0060
Adam J GordonVulnerable Veteran Innovative PACT Initiative, Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Barbara A ClothierCenter for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0002-9932-4245
Princess E AcklandCenter for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.
Mark BounthavongHealth Economics Resource Center, Palo Alto Veterans Affairs HealthCare System, Palo Alto, CA, USA.
Carla GarciaHealth Economics Resource Center, Palo Alto Veterans Affairs HealthCare System, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0001-5464-7449
Marie E KennyCenter for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.
Siamak NoorbaloochiCenter for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.
Hildi J HagedornCenter for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.
University of Minnesota · USMinneapolis VA Health Care System · USUniversity of California San Diego · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Barriers at the system, clinician, and patient level limit access to medications for opioid use disorder (MOUD). The Advancing Pharmacological Treatments for Opioid Use Disorder (ADaPT-OUD) study implemented an external facilitation strategy within the Veterans Health Administration (VHA) aimed at facility-level barriers to improve uptake of MOUD. During ADaPT-OUD, an independent Academic Detailing Services Opioid Agonist Treatment of OUD Campaign was co-occurring and aimed to increase evidence-based practice for OUD at the clinician level. While both these initiatives aim to increase MOUD reach, they address different barriers and did not intentionally collaborate. Thus, understanding the interaction between these two independent implementation initiatives and their effect on MOUD reach will further inform and mold future implementation efforts of MOUD. Methods: This was a secondary analysis of the ADaPT-OUD study that included 35 VHA facilities in the lowest quartile of MOUD reach; eight received the ADaPT-OUD external facilitation and 27 matched sites received implementation as usual. The number of academic detailing (AD) visits during ADaPT-OUD was used as a proxy for the intensity of Academic Detailing for OUD Campaign activity. The interaction between external facilitation status and AD intensity was evaluated by comparing the change in facility-level MOUD reach. Results: There was a general increase in the number of AD visits, in both external facilitation and implementation as usual sites, over the course of ADaPT-OUD's implementation period. A non-statistically significant, positively sloped, linear relationship was observed between average number of AD visits per quarter and change in MOUD reach in facilities also receiving ADaPT-OUD external facilitation that was not observed in the implementation as usual sites. Conclusion: Co-occurring initiatives focusing on different barriers to MOUD access have the potential to further increase MOUD in low-performing facilities, but further research into timing, quality, and collaboration between initiatives are warranted.

Indexed as

implementation sciencemedication treatment for opioid use disorderopioid use disordersubstance use disorderveterans

Identifiers

PMID37790176
PMCPMC10504828
OpenAlexW4386787603

What OpenQuestion holds

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LicenceCC BY-NC
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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.