Evidence map›Paper›PMID 42614406›Full record

ReviewGlobal implementation research and applications2026

Making Sense of Implementation Science Planning Tools: Addressing Implementation Challenges in Substance Use Disorder and Mental Health Treatment.

Mei Elansary, Divya A Shankar, Katherine Rizzolo, Cristina Gago, Rebecca K Rudel, Shana A B Burrowes, Erika G Cordova-Ramos, Nicholas A Bosch, Kayla C Jones, Kelli Finn and 3 more

Abstract readReview
In one paragraph

Review in Global implementation research and applications, 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

13 authors.

Mei ElansaryEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Divya A ShankarEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Katherine RizzoloEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Cristina GagoEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Rebecca K RudelEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Shana A B BurrowesEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Erika G Cordova-RamosEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Nicholas A BoschEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Kayla C JonesEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Kelli FinnEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Mari-Lynn DrainoniEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Kathryn L FantasiaEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.
Kirsten AustadEvans Center for Implementation and Improvement Sciences, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, United States.

Funding

Diabetes-Docs: Physician-Scientist Career Development Program (DiabDocs)K12DK133995 · NIDDK · STANFORD UNIVERSITY · PI LINDA A DIMEGLIO, David Matthew Maahs · 2022 to 2026
$16.0M
Adapting an Evidence-Based Intervention to Improve the Hospital Discharge Process for Patients with Limited English ProficiencyK23MD019068 · NIMHD · BOSTON MEDICAL CENTER · PI Kirsten Austad · 2023 to 2026
$648k
Promoting positive parenting for mothers with OUD: Implementation of a video-coaching intervention in pediatricsK23DA061933 · NIDA · BOSTON MEDICAL CENTER · PI Mei Elansary · 2025 to 2026
$387k
NIDA NIH HHS K23 DA061933NIDDK NIH HHS K12 DK133995NIMHD NIH HHS K23 MD019068
6 · The paper itself

Abstract

Implementation planning tools provide structured approaches for integrating evidence-based interventions into real-world settings, helping navigate the complexities of adopting, adapting, and sustaining interventions. We examine four prominent implementation planning tools: (1) implementation mapping, a theory-driven, participatory approach to tailor implementation strategies to contexts through participant engagement and barrier assessment; (2) implementation blueprint, a plan documenting goals, strategies, and performance measures; (3) causal pathway diagrams, which illustrate the mechanisms through which implementation strategies operate; and (4) implementation research logic model, which links key implementation components-determinants, strategies, mechanisms, and outcomes across planning, execution, and evaluation stages. Each tool serves distinct purposes that align with different implementation phases and needs. Implementation mapping provides a methodical approach for implementation strategy design, generating approaches through theory-informed, iterative processes that heavily involve participants. Implementation blueprint translates plans into actions to drive day-to-day implementation-serving as a plan with timelines and accountability measures. Causal pathway diagrams illuminate the mechanistic understanding of how and why implementation strategies work, making them valuable for predicting implementation success; and the implementation research logic model excels at organizing concepts to promote theoretical coherence. These tools differ primarily in focus: implementation mapping in creating context-specific strategies, implementation blueprint in orchestrating action, implementation research logic model in organizing theoretical concepts, and causal pathway diagrams in proposing theories on how implementation strategies function. The trade-offs typically involve depth versus simplicity and theory-oriented versus practice-oriented approaches. By understanding these distinctions, implementation teams can select the most appropriate tool for their specific needs and contexts or combine implementation planning tools to promote successful and sustainable implementation of evidence-based interventions.

Indexed as

Causal pathway diagramsImplementation blueprintImplementation mappingImplementation research logic modelSubstance use disorder

Identifiers

PMID42614406
PMCPMC13481487

What OpenQuestion holds

Textmetadata
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.