Evidence map›Paper›PMID 41169651›Full record

ArticleLearning health systems2025

The PaTH from discovery to implementation: Using a PCORnet® Clinical Research Network's own research to prioritize topics for collaborative health improvement activities.

Autumn R Boyer, Charles P Friedman, Cynthia H Chuang, Megan E Hamm, April Wyncott, James Gregory Merritt, Michael J Becich, Soledad A Fernandez, Daniel E Ford, Henry Lester Kirchner and 3 more

Abstract read
In one paragraph

Article in Learning health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Autumn R BoyerDepartment of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0009-0006-6217-8885
Charles P FriedmanDepartment of Learning Health Sciences University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0003-3395-5199
Cynthia H ChuangCollege of Medicine Penn State University Hershey Pennsylvania USA.
Megan E HammDepartment of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.
April WyncottUniversity of Michigan Medical School Ann Arbor Michigan USA.
James Gregory MerrittPatient Partner, PaTH Network Brighton Michigan USA.
Michael J BecichDepartment of Biomedical Informatics, School of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.
Soledad A FernandezDepartment of Biomedical Informatics and Center for Biostatistics The Ohio State University Columbus Ohio USA.
Daniel E FordJohns Hopkins Institute for Clinical and Translational Research Baltimore Maryland USA.
Henry Lester KirchnerDepartment of Population Health Sciences Geisinger Danville Pennsylvania USA.
Anuradha ParanjapeDepartment of Medicine Denver Health Denver Colorado USA.
David A WilliamsDepartment of Anesthesiology University of Michigan Ann Arbor Michigan USA.
Kathleen M McTigueDepartment of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Applying research findings to health care practice has typically been a prolonged process, resulting in frustration to patients, providers, and other health system constituents. The PaTH Clinical Research Network developed the Discovery to Implementation (D2I) Initiative, rooted in Learning Health Systems principles, to engage constituents across seven academic sites/affiliated health systems in a process of identifying and prioritizing topics for future health improvement activities. Aims: To develop a consensus process to prioritize topics derived from the network's own research for future implementation efforts conducted by network-based Learning Communities. To apply this process to identify priority topics based on the network's recently published research. Methods: We developed a multi-institutional process for engaging a broad variety of perspectives to systematically review and evaluate PaTH-affiliated, patient-focused health research published between 2020 and 2022. Each site invited local constituents including patients, caregivers, clinicians, researchers, funders, health plan representatives, and health system leaders to help prioritize research topics and identify potential Learning Community areas of focus. D2I activities included brief surveys, review of data from the PCORnet® Common Data Model, and a multi-step deliberative process during two virtual events. Results: The D2I Initiative included the participation of nearly 90 constituents in its iterative process to prioritize research topics. From 21 publications of patient-focused PaTH-affiliated research, three topics emerged as the highest priority for potential quality improvement work: back pain, hypertension, and frailty. Furthermore, the D2I Initiative mobilized interest in three potential Learning Communities to work toward implementing health care innovations. Conclusions: The D2I format is an innovative, engaging, and scalable model for involving constituents throughout our health systems to prioritize topics for future improvement activities. The process aims, ultimately, to reduce the time from research discovery to health systems improvements while maintaining a focus on the needs and priorities of those involved at multiple system levels.

Indexed as

delivery of health careimplementation sciencelearning communitieslearning health systemstakeholder participation

Identifiers

PMID41169651
PMCPMC12569438

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.