Evidence map›Paper›PMID 37313379›Full record

ArticleJournal of clinical and translational science2023

Community-engaged training in informed consent.

Kris M Markman, Noelle P Weicker, Andreas K Klein, Robert Sege

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Kris M MarkmanTufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA.ORCID https://orcid.org/0000-0002-6031-1770
Noelle P WeickerTufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA.ORCID https://orcid.org/0000-0002-1585-0281
Andreas K KleinTufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA.
Robert SegeTufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1260-4787

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
NCATS NIH HHS UL1 TR002544
6 · The paper itself

Abstract

Inadequate training in the interpersonal skills of conducting informed consent conversations has long been noted as a challenge for clinical research recruitment and retention. To address this critical gap, Tufts Clinical and Translational Science Institute developed regular trainings for clinical research coordinators and other research staff on the practical skills of communicating informed consent using community members as simulated patients for role-playing exercises. In this paper, we assess the reach and effectiveness of these trainings and describe the impact of employing community stakeholders as simulated patients. We found that by embedding community members in the trainings, clinical research coordinators get to hear diverse perspectives, experience a range of patient responses, and learn from the lived experience of the communities that research tries to serve. Utilizing community members as trainers also helps to dismantle traditional power dynamics by demonstrating the organization's commitment to inclusiveness and community engagement. Based on these findings, we suggest that training on informed consent include more simulated consent exercises that feature interaction with community members who can provide real-time feedback to coordinators.

Indexed as

community engagementinformed consentresearch coordinatorstrainingWorkforce development

Identifiers

PMID37313379
PMCPMC10260332

What OpenQuestion holds

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LicenceCC BY
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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.