Evidence map›Paper›PMID 42204749›Full record

ArticleImplementation science communications2026

Application of Innovation Tournament methodology to inform de-implementation strategies: lessons learned in addressing mammography overscreening in older women.

Rachel C Shelton, Parisa Tehranifar, Savannah P Alexander, Emmy Burroughs, Anita G Karr, Nathalie Moise

Abstract read
In one paragraph

Article in Implementation science communications, 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

6 authors.

Rachel C SheltonDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, 722 W 168th Street, Room 941, New York, NY, 10032, USA. rs3108@cumc.columbia.edu.
Parisa TehranifarDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Savannah P AlexanderDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, 722 W 168th Street, Room 941, New York, NY, 10032, USA.
Emmy BurroughsDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, 722 W 168th Street, Room 941, New York, NY, 10032, USA.
Anita G KarrDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Nathalie MoiseCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, Columbia University, New York, NY, USA.

Funding

De-implementation of Mammography Overuse in Primary Care SettingsR01CA255382 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOISE, NATHALIE, SHELTON, RACHEL C · 2021 to 2025
$2.6M
NCI NIH HHS R01 CA255382
6 · The paper itself

Abstract

backgroundDe-implementation is a critical, understudied area within implementation science, particularly de-implementation strategy development. Aligned with most national guidelines, de-implementation of routine mammography screening among older women (without considering patient preferences, health, life expectancy), is a compelling area for advancing de-implementation science. While previously applied for implementation, this research seeks to advance understanding of Innovation Tournaments (InTs) as a participatory methodology to inform de-implementation strategy development.

methodsBuilding on formative qualitative research and informed by User-Centered Design (UCD), we conducted an InT to generate, confirm, and refine de-implementation strategies among purposively selected providers and administrators across two healthcare systems in New York City. InT development began 07/2021 and launched 11/2022-05/2023. A key challenge in co-creating, launching, and maintaining the InT was difficulty communicating about de-implementation, especially given differences in opinion about guidelines across provider specialties. To address this complexity, we collaborated with experts in InTs, shared decision-making, healthcare informatics, communication, creative content development, and UCD. Based on input during the UCD process and to facilitate engagement across participants with varying opinions, we expanded the InT to assess ideas and opinions about mammography guidelines for older women and appropriateness of de-implementation, in addition to assessing de-implementation strategy ideas. We conducted descriptive analyses of InT forum engagement data and content analysis of forum posts/comments.

resultsOf 47 participants who entered the InT website, 36 engaged in the forum (voted, commented, or posted). Participants voted 256 times on posted ideas/opinions/strategies and comments, submitted 71 comments, and posted 13 new ideas/opinions/strategies. Most participants engaged in the forum during their initial visit to the InT, with limited engagement over time. Content analysis of posts/comments identified de-implementation strategy categories largely aligned with the ERIC taxonomy (e.g., patient education, provider training/reminders), though system-level strategies specific to de-implementation emerged.

conclusionsFindings advance de-implementation methods by indicating importance of formative qualitative research and UCD to inform InT development and engagement (particularly if stakeholders disagree on de-implementation appropriateness). Unique considerations include: how best to seed InT content; challenges in generating new strategies that meaningfully expand upon formative qualitative research findings; and time and resources needed to develop, elicit and sustain stakeholder engagement over time.

Indexed as

AgingDe-adoptionDe-implementationLow-value careMammography screening

Identifiers

PMID42204749
PMCPMC13411346

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.