Evidence map›Paper›PMID 36654809›Full record

ArticleLearning health systems2023

Stakeholder engagement infrastructure to support multicenter research networks: Advances from the clinical research networks participating in PCORnet.

Elizabeth L Cope, Kathleen M McTigue, Christopher B Forrest, Thomas W Carton, Alecia M Fair, Crispin Goytia, Joseph M Harrington, Susan Lowe, J Greg Merritt, Elizabeth A Shenkman and 6 more

Abstract read
In one paragraph

Article in Learning health systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  9. Article
  10. A framework for assessing clinical trial site readiness.Journal of clinical and translational science · 2023
    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

16 authors.

Elizabeth L CopeAcademyHealth Washington DC USA.ORCID https://orcid.org/0000-0003-3666-8523
Kathleen M McTigueDepartment of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.
Christopher B ForrestApplied Clinical Research Center, Children's Hospital of Philadelphia Philadelphia Pennsylvania USA.
Thomas W CartonLouisiana Public Health Institute New Orleans Louisiana USA.
Alecia M FairMeharry-Vanderbilt Alliance, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.
Crispin GoytiaDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai Institute for Health Equity Research New York New York USA.
Joseph M HarringtonCAPriCORN Patient Community Advisory Committee Chicago Illinois USA.
Susan LoweADVANCE Clinical Research Network, OCHIN, Inc. Portland Oregon USA.
J Greg MerrittPatient is Partner, LLC Brighton Michigan USA.
Elizabeth A ShenkmanDepartment of Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville Florida USA.
William J StephensGreat Plains Collaborative, One Hospital Drive Columbia Missouri USA.
Anna TempletonOCHIN, Inc. Portland Oregon USA.
Neely A WilliamsCommunity Partners Network, Inc. Nashville Tennessee USA.
Nadine ZemonOneFlorida Clinical Research Consortium, Clinical and Translational Science Institute, University of Florida Gainesville Florida USA.
Sarah MillenderAcademyHealth Washington DC USA.
Rebekah S M AngovePatient Advocate Foundation Hampton Virginia USA.

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
NCATS NIH HHS UL1 TR004419
6 · The paper itself

Abstract

Background: The evidence based on the inclusion of patients and other stakeholders as partners in the clinical research process has grown substantially. However, little has been reported on how stakeholders are engaged in the governance of large-scale clinical research networks and the infrastructure used by research networks to support engagement in network-affiliated activities. Objectives: The objective was to document engagement activities and practices emerging from Clinical Research Networks (CRNs) participating in PCORnet, the National Patient-Centered Clinical Research Network, specifically regarding governance and engagement infrastructure. Methods: We conducted an environmental scan of PCORnet CRN engagement structures, assets, and services, focusing on network oversight structures for policy development and strategic decision-making. The scan included assets and services for supporting patient/stakeholder engagement. Data were collected by searching web-based literature and tool repositories, review of CRN Engagement Plans, analysis of previously collected key informant interviews, and CRN-based iterative review of structured worksheets. Results: We identified 87 discrete engagement structures, assets, and services across nine CRNs. All CRNs engage patients/stakeholders in their governance, maintain workgroups and/or staff dedicated to overseeing engagement strategies, and offer one or more services to non-CRN researchers to enhance conducting engaged clinical research. Conclusions: This work provides an important resource for the research community to explore engagement across peers, reflect on progress, consider opportunities to leverage existing infrastructure, and identify new collaborators. It also serves to highlight PCORnet as a resource for non-CRN researchers seeking to efficiently conduct engaged clinical research and a venue for advancing the science of engagement.

Indexed as

clinical research networksengagementpatient‐centerednessstakeholder‐engaged research

Identifiers

PMID36654809
PMCPMC9835038

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.