Evidence map›Paper›PMID 39614389›Full record

ArticleImplementation science : IS2024

Building capacity in dissemination and implementation research: the presence and impact of advice networks.

Allison J L'Hotta, Rebekah R Jacob, Stephanie Mazzucca-Ragan, Russell E Glasgow, Sharon E Straus, Wynne E Norton, Ross C Brownson

Abstract read
In one paragraph

Article in Implementation science : IS, 2024. 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
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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.

Allison J L'HottaDepartment of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. allison.lhotta@cuanschutz.edu.ORCID 0000-0001-7825-2492
Rebekah R JacobPrevention Research Center, Brown School at Washington University in St. Louis, One Brookings Drive, St. Louis, MO, 63130, USA.
Stephanie Mazzucca-RaganPrevention Research Center, Brown School at Washington University in St. Louis, One Brookings Drive, St. Louis, MO, 63130, USA.
Russell E GlasgowDepartment of Family Medicine and Adult & Child Center for Health Outcomes Research and Delivery Science, School of Medicine, University of Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
Sharon E StrausKeenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michaels Hospital, 30 Bond Street, Toronto, ON, Canada.
Wynne E NortonDivision of Cancer Control and Population Sciences, National Cancer Institute, 9609, Medical Center Drive, Bethesda, MD, 20850, USA.
Ross C BrownsonPrevention Research Center, Brown School at Washington University in St. Louis, One Brookings Drive, St. Louis, MO, 63130, USA.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
Pragmatic Implementation Science Approaches to Assess and Enhance Value of Cancer Prevention and Control in Rural Primary CareP50CA244688 · NCI · UNIVERSITY OF COLORADO DENVER · PI GLASGOW, RUSSELL E · 2019 to 2023
$4.9M
Improving cancer prevention and control through academic-local public health department partnershipsR37CA262011 · NCI · WASHINGTON UNIVERSITY · PI MAZZUCCA-RAGAN, STEPHANIE · 2022 to 2025
$2.2M
Cancer Moonshot P50CA244431Centers for Disease Control and Prevention Foundation U48DP006395NCCDPHP CDC HHS U48 DP006395NCI NIH HHS P50 CA244431NCI NIH HHS P50 CA244688NCI NIH HHS R37 CA262011NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundAs dissemination and implementation (D&I) research increases, we must continue to expand training capacity and research networks. Documenting, understanding, and enhancing advice networks identifies key connectors and areas where networks are less established. In 2012 Norton et al. mapped D&I science advice and collaboration networks. The current study builds on this work and aims to map current D&I research advice networks.

methodsD&I researchers in the United States (US) and Canada were identified through a combination of publication metrics, and key persons identified networks and were invited to participate (n = 1,576). In this social network analysis study, participants completed an online survey identifying up to 10 people from whom they sought and/or gave advice on D&I research. Participants identified four types of advice received: research methods, grant, career, or another type (e.g., work/life balance). We used descriptive statistics to characterize the sample and network metrics and visualizations to describe the composition of advice networks.

resultsA total of 482 individuals completed the survey. Eighty-six (18%) worked in Canada and 396 (82%) in the US. Respondents had varying D&I research expertise levels; 14% beginner expertise, 45% intermediate, 29% advanced, and 12% expert. The advice network included 978 connected nodes/individuals. For all research types, out-degree, or advice giving, was higher for those with advanced or expert-level expertise (6.9 and 11.9, respectively) than those with beginner or intermediate expertise (0.8 and 2.2, respectively). Respondents reporting White race reported giving (out-degree = 5.2) and receiving (in-degree = 6.1) more advice compared to individuals reporting Asian (out-degree = 2.9, in-degree = 5.3), Black (out-degree = 2.3, in-degree = 5.2), or other races (out-degree = 2.5, in-degree = 5.4). Assortativity analyses revealed 98% of network ties came from individuals within the same country. The top two reasons for advice seeking were trusting the individual to give good advice (78%) and the individual's knowledge/experience in specific D&I content (69%).

conclusionsThe D&I research network is becoming more dispersed as the field expands. Findings highlight opportunities to further connect D&I researchers in the US and Canada, individuals with emerging skills in D&I research, and minoritized racial groups. Expanding peer mentoring opportunities, especially for minoritized groups, can enhance the field's capacity for growth.

Indexed as

Capacity BuildingImplementation ScienceInformation DisseminationAdultCanadaCooperative BehaviorFemaleHumansMaleMiddle AgedResearch PersonnelSocial NetworkingSurveys and QuestionnairesUnited StatesCapacity buildingDissemination researchImplementation scienceKnowledge mobilizationKnowledge translationMentoringSocial network analysisTraining

Identifiers

PMID39614389
PMCPMC11605852

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.