Evidence map›Paper›PMID 29971792›Full record

ReviewAmerican journal of community psychology2018

Letting Go: Conceptualizing Intervention De-implementation in Public Health and Social Service Settings.

Virginia R McKay, Alexandra B Morshed, Ross C Brownson, Enola K Proctor, Beth Prusaczyk

Abstract readReview
In one paragraph

Review in American journal of community psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
–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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  10. So what? Elevating the impact of implementation science.Implementation science communications · 2025
    Article
  11. Article
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  13. Review
  14. Review
  15. Article
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  18. Article
  19. RevisitingAmerican journal of public health · 2024
    Article
  20. Enhancing Impact: A Call to Action for Equitable Implementation Science.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Virginia R McKayCenter for Public Health Systems Science, Brown School, Washington University in St. Louis, St. Louis, MO, USA.
Alexandra B MorshedPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA.
Ross C BrownsonPrevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA.
Enola K ProctorInstitute of Clinical and Translational Science, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Beth PrusaczykDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
GWB MENTAL HEALTH SERVICE RESEARCH TRAININGT32MH019960 · NIMH · WASHINGTON UNIVERSITY · PI Leopoldo J Cabassa, Byron James Powell · 1995 to 2026
$11.1M
WUSTL Transdisciplinary Pre- and Postdoctoral Training Program in Obesity and Cardiovascular DiseaseT32HL130357 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2016 to 2025
$4.3M
IMPLEMENTATION RESEARCH INSTITUTE FOR MENTAL HEALTH SERVICES IRI-MHSR25MH080916 · NIMH · WASHINGTON UNIVERSITY · PI Byron James Powell · 2009 to 2026
$3.7M
Mentored Training for Dissemination and Implemention Research in CancerR25CA171994 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2013 to 2017
$1.5M
De-implementation of Low-value HIV Prevention InterventionsR21MH115772 · NIMH · WASHINGTON UNIVERSITY · PI MCKAY, VIRGINIA R · 2017 to 2018
$419k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS R25 CA171994NHLBI NIH HHS T32 HL130357NIDDK NIH HHS P30 DK092950NIMH NIH HHS R21 MH115772NIMH NIH HHS R25 MH080916NIMH NIH HHS T32 MH019960
6 · The paper itself

Abstract

The discontinuation of interventions that should be stopped, or de-implementation, has emerged as a novel line of inquiry within dissemination and implementation science. As this area grows in human services research, like public health and social work, theory is needed to help guide scientific endeavors. Given the infancy of de-implementation, this conceptual narrative provides a definition and criteria for determining if an intervention should be de-implemented. We identify three criteria for identifying interventions appropriate for de-implementation: (a) interventions that are not effective or harmful, (b) interventions that are not the most effective or efficient to provide, and (c) interventions that are no longer necessary. Detailed, well-documented examples illustrate each of the criteria. We describe de-implementation frameworks, but also demonstrate how other existing implementation frameworks might be applied to de-implementation research as a supplement. Finally, we conclude with a discussion of de-implementation in the context of other stages of implementation, like sustainability and adoption; next steps for de-implementation research, especially identifying interventions appropriate for de-implementation in a systematic manner; and highlight special ethical considerations to advance the field of de-implementation research.

Indexed as

Public Health PracticeSocial WorkHumansProgram EvaluationDe-implementationImplementation sciencePublic healthSocial serviceTheory

Identifiers

PMID29971792
PMCPMC6175194

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.