Evidence map›Paper›PMID 42623931›Full record

ArticleJournal of the American Medical Directors Association2026

Three Case-Based Approaches to Preimplementation Evaluation in Nursing Homes: Understanding Enablers, Barriers, and Implementation Strategies.

Joan G Carpenter, Natalie F Douglas, Latarsha Chisholm

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 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

3 authors.

Joan G CarpenterOrganizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, MD, USA; Corporal Michael J. Crescenz VAMC, Philadelphia, PA, USA. Electronic address: joan.carpenter@umaryland.edu.
Natalie F DouglasDepartment of Communicative Disorders, University of Louisiana at Lafayette, Lafayette, LA, USA.
Latarsha ChisholmSchool of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI JOSEPH E. GAUGLER · 2019 to 2026
$125.9M
NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

Nursing homes are diverse environments because they serve as both medical institutions and long-term homes for individuals with significant care requirements and social support needs. This complexity can make implementing evidence-based interventions and quality improvement projects challenging. We demonstrate how investigators can use a preimplementation process to assess the enablers and barriers to innovation implementation prior to the allocation of significant resources. In this article, we present 3 preimplementation exemplars applying the "3 Is"-Identify an implementation framework, Investigate barriers and enablers, and Integrate strategies-to support the eventual uptake of evidence-based interventions. A deliberate preimplementation phase that is built into the life of a project can help identify enablers and barriers to inform the use of implementation strategies or help teams make a data-informed decision not to proceed with implementation. We describe 3 different implementation science frameworks to consider using during preimplementation, highlight common barriers assessed during preimplementation in nursing homes, and demonstrate ways to mitigate those barriers by leveraging enablers.

Indexed as

Nursing HomesQuality ImprovementHumansImplementation ScienceEvidence-based medicineimplementation sciencenursing homesquality improvementsocial support

Identifiers

PMID42623931
PMCPMC13631681

What Socratic holds

Textmetadata
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 Socratic graph.