Evidence map›Paper›PMID 39540111›Full record

ArticleJournal of clinical and translational science2024

Development of the Dissemination and Implementation Science Collaborative (DISC): Opportunities to enhance implementation science capacity among researchers and practitioners in South Carolina.

Caitlin G Allen, Katherine Sterba, Stephanie Oppenheimer, Rochelle F Hanson, Emma Coen, Ron Gimbel, Dee Ford

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2024. 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

7 authors.

Caitlin G AllenMedical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0002-6288-3529
Katherine SterbaMedical University of South Carolina, Charleston, SC, USA.
Stephanie OppenheimerMedical University of South Carolina, Charleston, SC, USA.
Rochelle F HansonMedical University of South Carolina, Charleston, SC, USA.
Emma CoenClemson University, Clemson, SC, USA.
Ron GimbelClemson University, Clemson, SC, USA.
Dee FordMedical University of South Carolina, Charleston, SC, USA.

Funding

SC Biomedical Informatics & Data Science for Health Impact (SC BIDS4Health)T15LM013977 · NLM · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Alexander V Alekseyenko, Brian Dean · 2022 to 2026
$1.2M
NLM NIH HHS T15 LM013977
6 · The paper itself

Abstract

This paper explores the development of the Dissemination and Implementation Science Collaborative (DISC) at the Medical University of South Carolina, established through the Clinical and Translational Science Award program. DISC aims to accelerate clinical and translational science by providing training, mentorship, and collaboration opportunities in dissemination and implementation (D&I) science. Through DISC, investigators, trainees, and community partners are equipped with the knowledge and skills to conduct D&I research and translate findings into practice, particularly in South Carolina's public health and healthcare landscape. We describe efforts to achieve the major overarching aims of DISC, which include conducting scientific workforce training, providing mentorship and consultation, and advancing methods and processes for D&I research. By sharing DISC experiences, successes, and challenges, this paper aims to support the growth of D&I research and capacity-building programs, fostering collaboration and shared resources in the field.

Indexed as

Capacity buildingdissemination and implementation sciencetranslational research

Identifiers

PMID39540111
PMCPMC11557275

What OpenQuestion holds

Textmetadata
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.