Evidence map›Paper›PMID 40361178›Full record

ArticleImplementation science : IS2025

When the parts are greater than the whole: how understanding mechanisms can advance implementation research.

Elvin H Geng, Byron J Powell, Charles W Goss, Cara C Lewis, Anne E Sales, Bo Kim

Abstract read
In one paragraph

Article in Implementation science : IS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Elvin H GengDepartment of Medicine, Division of Infectious Diseases, Washington University in St. Louis, St. Louis, USA. elvin.geng@wustl.edu.
Byron J PowellCenter for Dissemination and Implementation in the Institute for Public Health, Washington University in St. Louis, St. Louis, USA.
Charles W GossInstitute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, USA.
Cara C LewisKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Anne E SalesSinclair School of Nursing and Department of Family and Community Medicine, University of Missouri, Columbia, MO, USA.
Bo KimVA Boston Healthcare System and Department of Psychiatry, Harvard Medical School, Center for Healthcare Organization and Implementation Research, Boston, USA.

Funding

MECHANISMS: The MECHANics of Implementation Strategies and MeasureSR01CA262325 · NCI · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J. · 2021 to 2023
$2.2M
AHRQ HHS R13 HS025632NCI NIH HHS R01 CA262325
6 · The paper itself

Abstract

backgroundDoes the importance of context in implementation imply that generalizing about the effects of strategies is ultimately limited? Conceptual approaches for generalizing in the presence of significant contextual heterogeneity could advance implementation research but require novel perspectives. MAIN BODY: Drawing from perspectives from Realist approaches, Pearl's transportability framework and philosophy of science, this paper outlines a mechanism-based approach to generalizing about the effects of implementation strategies. We suggest that understanding mechanisms creates a conceptual bridge between the effects of a strategy and the influence of the implementation context. Using directed acyclic graphs to represent the mechanisms of strategies, we show how conceptualizing mediators of overall effects offer a basis for considering the effects of context. Hence, theorizing and testing a mechanistic understanding enriches the ways in which we can consider how context could change those effects. Such an approach allows us to understand how a strategy works within a given implementation context, determine what information from new contexts are needed to infer across contexts, and if that information is available, what those effects would be - thereby advancing generalizing in implementation research. We consider particular implementation strategies (e.g., Community Adherence Groups and practice facilitation) as examples to illustrate generalizing into different contexts.

conclusionMechanisms can help implementation research by simultaneously accommodating the importance of context as well as the imperative to generalize. A shift towards a mechanism-focused approach that goes beyond identifying barriers and facilitators can enhance the value of implementation research.

Indexed as

Implementation ScienceContextGeneralizabilityImplementation strategiesMechanisms

Identifiers

PMID40361178
PMCPMC12070568

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.