Evidence map›Paper›PMID 36913967›Full record

ReviewAlcohol, clinical & experimental research2023

Addictions treatment mechanisms of change science and implementation science: A critical review.

Molly Magill, Stephan Maisto, Brian Borsari, Joseph E Glass, Kevin Hallgren, Jon Houck, Brian Kiluk, Alexis Kuerbis

Abstract readReview
In one paragraph

Review in Alcohol, clinical & experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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.

Molly MagillCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0001-5041-4664
Stephan MaistoDepartment of Psychology, Syracuse University, Syracuse, New York, USA.ORCID https://orcid.org/0000-0001-5470-102X
Brian BorsariDepartment of Psychiatry, San Francisco Veteran's Administration, University of California - San Francisco, San Francisco, California, USA.
Joseph E GlassKaiser Permanente - Washington Health Research Institute, Seattle, Washington, USA.
Kevin HallgrenDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-8386-3984
Jon HouckMind Research Network, University of New Mexico, Albuquerque, New Mexico, USA.ORCID https://orcid.org/0000-0002-6565-4481
Brian KilukDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-1175-7979
Alexis KuerbisSilberman School of Social Work, CUNY Hunter College, New York, New York, USA.ORCID https://orcid.org/0000-0002-6948-0669

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Best Practices in Core Principles of Behavior Change: Development of an Implementation ScientistK02AA027546 · NIAAA · BROWN UNIVERSITY · PI MAGILL, MOLLY · 2019 to 2023
$756k
Integrating Cognitive Neuroscience Toward Understanding of Mechanisms of CBT for Alcohol Use DisordersK02AA027300 · NIAAA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2019 to 2023
$719k
Translational Mechanisms of Behavior Change (MOBC) ScienceU13AA028964 · NIAAA · BROWN UNIVERSITY · PI MAGILL, MOLLY, MAISTO, STEPHEN A · 2021 to 2023
$75k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS AA027546NIAAA NIH HHS AA028964NIAAA NIH HHS K02 AA027300NIAAA NIH HHS K02 AA027546NIAAA NIH HHS U13 AA028964
6 · The paper itself

Abstract

This manuscript aims to contribute to the next phase of mechanisms of behavior change (MOBC) science on alcohol or other drug use. Specifically, we encourage the transition from a basic science orientation (i.e., knowledge generation) to a translational science orientation (i.e., knowledge application or Translational MOBC Science). To inform that transition, we examine MOBC science and implementation science and consider how these two research areas can intersect to capitalize on the goals, strengths, and key methodologies of each. First, we define MOBC science and implementation science and offer a brief historical rationale for these two areas of clinical research. Second, we summarize similarities in rationale and discuss two scenarios where one draws from the other-MOBC science on implementation strategy outcomes and implementation science on MOBC. We then focus on the latter scenario, and briefly review the MOBC knowledge base to consider its readiness for knowledge translation. Finally, we provide a series of research recommendations to facilitate the translation of MOBC science. These recommendations include: (1) identifying and targeting MOBC that are well suited for implementation, (2) use of MOBC research results to inform broader health behavior change theory, and (3) triangulation of a more diverse set of research methodologies to build a translational MOBC knowledge base. Ultimately, it is important for gains borne from MOBC science to affect direct patient care, while basic MOBC research continues to be developed and refined over time. Potential implications of these developments include greater clinical significance for MOBC science, an efficient feedback loop between clinical research methodologies, a multi-level approach to understanding behavioral change, and reduced or eliminated siloes between MOBC science and implementation science.

Indexed as

causalityhealth behavior changemediationmoderationscience of behavior change

Identifiers

PMID36913967
PMCPMC10314994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.