Evidence map›Paper›PMID 42876570›Full record

ArticleFrontiers in health services2026

Operationalizing Iterative RE-AIM in two pragmatic nursing home trials to support an adaptation learning cycle.

Annie W Yang, Sophia Geisser, Amy Recker, Valerie Clark, Christine W Hartmann, A Lynn Snow

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Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Annie W YangNational Clinician Scholars Program, Yale School of Medicine, New Haven, CT, United States.
Sophia GeisserAlabama Research Institute on Aging and the Department of Psychology, The University of Alabama, Tuscaloosa, AL, United States.
Amy ReckerBrown University School of Public Health, Providence, RI, United States.
Valerie ClarkCenter for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
Christine W HartmannCenter for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
A Lynn SnowAlabama Research Institute on Aging and the Department of Psychology, The University of Alabama, Tuscaloosa, AL, United States.

Funding

Enhancing Sleep Quality for Nursing Home Residents with Dementia: Pragmatic TrialR33AG065619 · NIA · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI CHRISTINE W HARTMANN, A Lynn Snow · 2023 to 2026
$6.0M
HSRD VA I01 HX003420NIA NIH HHS R33 AG065619
6 · The paper itself

Abstract

Introduction: Complex, heterogeneous settings such as nursing homes require ongoing adaptation of interventions and implementation strategies. Iterative RE-AIM offers a structured approach to guide adaptations, but how the approach is operationalized may need to vary across implementation contexts. We describe how two pragmatic nursing home trials operationalized Iterative RE-AIM with FRAME-IS to enable a systematic adaptation learning cycle. Methods: We conducted a narrative analysis of two ongoing multi-site trials: TEAM EFFORT (focused on falls reduction in State Veterans Homes) and 40 WINKS (focused on sleep improvement in nursing home residents with dementia). Both used RE-AIM for evaluation and FRAME-IS to document adaptations. Each operationalized the Iterative RE-AIM steps based on study scope, resources, team structure, and implementation timing, with a primary focus on refining a coach-supported implementation strategy. Results: TEAM EFFORT embedded adaptation-related data collection, deliberation, and decision-making within weekly team meetings, supported by an ongoing input tool; 40 WINKS used individual-level surveys followed by structured, once-per-wave team gatherings to decide on adaptations. These two operationalizations illustrate how the timing, methods, and cadence of an adaptation learning cycle based on Iterative RE-AIM can vary in response to implementation context. Discussion: Iterative RE-AIM can be operationalized differently across implementation contexts while remaining faithful to its underlying intent. Paired with FRAME-IS, Iterative RE-AIM can enable an adaptation learning cycle that integrates systematic documentation of adaptations with structured team deliberation. Rather than prescribing a single Iterative RE-AIM implementation protocol, these findings suggest that operationalization can respond to the context in which implementation occurs.

Indexed as

adaptationFRAME-ISIterative RE-AIMnursing homepragmatic trial

Identifiers

PMID42876570
PMCPMC13661575

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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.