Evidence map›Paper›PMID 33948293›Full record

ArticleJournal of clinical and translational science2020

Using attendance data for social network analysis of a community-engaged research partnership.

Kimberly S Vasquez, Shirshendu Chatterjee, Chamanara Khalida, Dena Moftah, Brianna D'Orazio, Andrea Leinberger-Jabari, Jonathan N Tobin, Rhonda G Kost

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Stakeholder Engagement In a Comparative Effectiveness/Implementation Study to PreventProgress in community health partnerships : research, education, and action · 2022
    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

8 authors.

Kimberly S VasquezCommunity and Collaboration Core, The Rockefeller University, Center for Clinical and Translational Science, New York, NY, USA.
Shirshendu ChatterjeeDepartment of Mathematics, City University of New York, City College & Graduate Center, New York, NY, USA.
Chamanara KhalidaCenter for Excellence for Practice-Based Research and Learning, Clinical Directors Network (CDN), New York, NY, USA.
Dena MoftahCenter for Excellence for Practice-Based Research and Learning, Clinical Directors Network (CDN), New York, NY, USA.
Brianna D'OrazioCenter for Excellence for Practice-Based Research and Learning, Clinical Directors Network (CDN), New York, NY, USA.
Andrea Leinberger-JabariPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Jonathan N TobinCommunity and Collaboration Core, The Rockefeller University, Center for Clinical and Translational Science, New York, NY, USA.
Rhonda G KostCommunity and Collaboration Core, The Rockefeller University, Center for Clinical and Translational Science, New York, NY, USA.

Funding

Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Transforming Translational Science and Education to Benefit Human HealthUL1TR000043 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2012 to 2015
$26.8M
AHRQ HHS P30 HS021667NCATS NIH HHS UL1 TR000043NCATS NIH HHS UL1 TR001866
6 · The paper itself

Abstract

backgroundThe Rockefeller University Center for Clinical and Translational Science (RU-CCTS) and Clinical Directors Network (CDN), a Practice-Based Research Network (PBRN), fostered a community-academic research partnership involving Community Health Center (CHCs) clinicians, laboratory scientists, clinical researchers, community, and patient partners. From 2011 to 2018, the partnership designed and completed Community-Associated Methicillin-Resistant

methodsProjects incorporated principles of Community-Based Participatory Research (CAMP1/2) and PCORI engagement rubrics (CAMP2). Meetings were designed to be highly interactive, facilitate co-learning, share governance, and incentivize ongoing engagement. Meeting attendance formed the raw dataset enriched by stakeholder roles and affiliations. We used SNA software (Gephi) to form networks for four project periods, characterize network attributes (density, degree, centrality, vulnerability), and create sociograms. Polynomial regression models were used to study stakeholder interactions.

resultsForty-seven progress meetings engaged 141 stakeholders, fulfilling 7 roles, and affiliated with 28 organizations (6 types). Network size, density, and interactions across organizations increased over time. Interactions between Community Members or Recruiters/Community Health Workers and almost every other role increased significantly across CAMP2 (

conclusionsIn a partnership with a highly interactive meeting model, SNA using operational attendance data afforded a view of stakeholder interactions that realized the engagement goals of the partnership.

Indexed as

collaboration outcomescommunity-based participatory researchcommunity engagementInterdisciplinarypartnership developmentsocial network analysis

Identifiers

PMID33948293
PMCPMC8057467

What OpenQuestion holds

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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.