Maintaining Implementation through Dynamic Adaptations (MIDAS): protocol for a cluster-randomized trial of implementation strategies to optimize and sustain use of evidence-based practices in Veteran Health Administration (VHA) patients.

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Damschroder, Laura J

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Sussman, Jeremy B

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Pfeiffer, Paul N

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Kurlander, Jacob E

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Freitag, Michelle B

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Robinson, Claire H

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Spoutz, Patrick

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Christopher, Melissa LD

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Battar, Saraswathy

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Dickerson, Kimberly

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Sedgwick, Christopher

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Wallace-Lacey, Ashleigh G

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Barnes, Geoffrey D

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Linsky, Amy M

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Ulmer, Christi S

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Lowery, Julie C

dc.date.accessioned

2023-04-14T20:06:41Z

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2023-04-14T20:06:41Z

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2022-05

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2023-04-14T20:06:39Z

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Background

The adoption and sustainment of evidence-based practices (EBPs) is a challenge within many healthcare systems, especially in settings that have already strived but failed to achieve longer-term goals. The Veterans Affairs (VA) Maintaining Implementation through Dynamic Adaptations (MIDAS) Quality Enhancement Research Initiative (QUERI) program was funded as a series of trials to test multi-component implementation strategies to sustain optimal use of three EBPs: (1) a deprescribing approach intended to reduce potentially inappropriate polypharmacy; (2) appropriate dosing and drug selection of direct oral anticoagulants (DOACs); and (3) use of cognitive behavioral therapy as first-line treatment for insomnia before pharmacologic treatment. We describe the design and methods for a harmonized series of cluster-randomized control trials comparing two implementation strategies.

Methods

For each trial, we will recruit 8-12 clinics (24-36 total). All will have access to relevant clinical data to identify patients who may benefit from the target EBP at that clinic and provider. For each trial, clinics will be randomized to one of two implementation strategies to improve the use of the EBPs: (1) individual-level academic detailing (AD) or (2) AD plus the team-based Learn. Engage. Act.

Process

(LEAP) quality improvement (QI) learning program. The primary outcomes will be operationalized across the three trials as a patient-level dichotomous response (yes/no) indicating patients with potentially inappropriate medications (PIMs) among those who may benefit from the EBP. This outcome will be computed using month-by-month administrative data. Primary comparison between the two implementation strategies will be analyzed using generalized estimating equations (GEE) with clinic-level monthly (13 to 36 months) percent of PIMs as the dependent variable. Primary comparative endpoint will be at 18 months post-baseline. Each trial will also be analyzed independently.

Discussion

MIDAS QUERI trials will focus on fostering sustained use of EBPs that previously had targeted but incomplete implementation. Our implementation approaches are designed to engage frontline clinicians in a dynamic optimization process that integrates the use of actional clinical data and making incremental changes, designed to be feasible within busy clinical settings.

Trial registration

ClinicalTrials.gov: NCT05065502 . Registered October 4, 2021-retrospectively registered.
dc.identifier

10.1186/s43058-022-00297-z

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2662-2211

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2662-2211

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https://hdl.handle.net/10161/27044

dc.language

eng

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Springer Science and Business Media LLC

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Implementation science communications

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10.1186/s43058-022-00297-z

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Academic detailing

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Anti-coagulation

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Deprescribing

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Implementation science

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Implementation strategy

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Insomnia

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Medication safety

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Polypharmacy

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Quality improvement

dc.title

Maintaining Implementation through Dynamic Adaptations (MIDAS): protocol for a cluster-randomized trial of implementation strategies to optimize and sustain use of evidence-based practices in Veteran Health Administration (VHA) patients.

dc.type

Journal article

duke.contributor.orcid

Ulmer, Christi S|0000-0002-3512-4252

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53

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1

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Duke

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School of Medicine

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Clinical Science Departments

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Psychiatry & Behavioral Sciences

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

pubs.publication-status

Published

pubs.volume

3

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