Evidence map›Paper›PMID 42183344›Full record

ArticleResearch square2026

What it Takes to Implement Population-Based Genomic Screening: A Multi-Site Qualitative Study of Implementation Determinants Across Health Systems.

Caitlin G Allen, Deborah Cragun, Miranda Hallquist, Adam H Buchanan, Cason Whitcomb, Rebecca Bosch, Ingrid Wagner, Jarrod Marable, Kimberly Foss, Derek W Craig and 4 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

14 authors.

Caitlin G AllenWake Forest University School of Medicine.
Deborah CragunUniversity of South Florida.
Miranda HallquistGeisinger Health System.
Adam H BuchananGeisinger Health System.
Cason WhitcombUniversity of North Carolina at Chapel Hill.
Rebecca BoschUniversity of North Carolina at Chapel Hill.
Ingrid WagnerWake Forest University School of Medicine.
Jarrod MarableWake Forest University School of Medicine.
Kimberly FossUniversity of North Carolina at Chapel Hill.
Derek W CraigUniversity of Texas Health Science Center at Houston.
Mary-Louise MillettUniversity of Texas Health Science Center at Houston.
Chanita Hughes HalbertUniversity of Southern California.
Nathaniel L BakerMedical University of South Carolina.
Megan C RobertsUniversity of North Carolina at Chapel Hill.

Funding

Facilitating the Implementation of Population-wide Genomic Screening (FOCUS)R01HG013851 · NHGRI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Caitlin Gloeckner Allen, Megan C. Roberts · 2024 to 2026
$2.2M
NHGRI NIH HHS R01 HG013851
6 · The paper itself

Abstract

Background: Population-based genomic screening (PGS) holds promise for identifying individuals at elevated risk for hereditary conditions. However, the absence of implementation guidance limits the scalability and impact of these programs. This qualitative study aimed to identify facilitators and barriers to PGS implementation among healthcare settings at different phases of PGS implementation. Methods: We conducted qualitative interviews with implementation team members, including genetic counselors, physicians, information technology and informatics personnel, study coordinators, and institutional leaders across 10 PGS sites. Sites were categorized as pre-adoption, implementing, and sustaining. Interviews explored implementation experiences, from the decision to adopt a PGS program through the return of results. Transcripts were coded using a rapid qualitative analysis approach using the Consolidated Framework for Implementation Research (CFIR) 2.0. We completed a data matrix heat map to visualize differences in CFIR 2.0 determinants across phases of PGS implementation. Results: We completed 34 interviews across 10 PGS sites (four pre-adoption, four implementing, and two sustaining). We identified 13 key CFIR 2.0 determinants across sites. Pre-adoption sites reported barriers related to financing, low institutional priority, workflow complexity, and limited patient and provider genomic knowledge, with mixed views on compatibility and resources. Implementing sites cited complexity in building out workflows and infrastructure, gaps in downstream clinical capacity, and uneven provider engagement; external partnerships, supportive leadership, and strong digital infrastructure facilitated progress. Sustaining sites identified persistent knowledge gaps and resource strain despite mature workflows, but benefited from robust partnerships, strong relational connections with clinical champions and lab partners, and continued leadership engagement. Conclusions: PGS implementation is shaped by phase-specific inflection points and ongoing barriers and facilitators that evolve across implementation phases. Financing and institutional prioritization were critical to moving programs from pre-adoption to implementing, while partnerships and relational connections were essential for implementing and sustaining sites. Barriers identified across CFIR domains such as policy constraints, and ongoing knowledge assessments require adaptive strategies that are specific to the phase of implementation, rather than one-time solutions. These results underscore the importance of dynamic implementation strategies that evolve alongside the PGS program.

Indexed as

CFIR 2.0health systemsimplementation determinantsimplementation sciencepopulation-based genomic screeningqualitative researchsustainment

Identifiers

PMID42183344
PMCPMC13193118

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.