Evidence map›Paper›PMID 34849265›Full record

ArticleJournal of clinical and translational science2021

Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes.

Eric Ho, Minjeong Jeon, Minho Lee, Jinwen Luo, Angela F Pfammatter, Vivek Shetty, Bonnie Spring

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and translational science, 2021. 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
5.0field-weighted citation impact, top 4% of its field
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, 17 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Eric HoDepartment of Education, UCLA, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-9936-276X
Minjeong JeonDepartment of Education, UCLA, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-5880-4146
Minho LeeDepartment of Education, UCLA, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-9083-1067
Jinwen LuoDepartment of Education, UCLA, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-8511-7165
Angela F PfammatterDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-0081-4090
Vivek ShettyDivision of Diagnostic and Surgical Sciences, School of Dentistry, UCLA, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-3167-3318
Bonnie SpringDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-0692-9868
California Department of Education · USNorthwestern University · USUniversity of California, Los Angeles · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
TR&D3 - Rapid Translation of AI-powered Temporally Precise mHealth Interventions via Efficient and Embeddable Trustworthy Biomarker ImplementationsP41EB028242 · NIBIB · UNIVERSITY OF MEMPHIS · PI Emre Ertin · 2020 to 2026
$9.5M
Training Institutes for mobile health (mHealth) methodologiesR25DA038167 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VIVEK SHETTY · 2014 to 2026
$2.3M
NCATS NIH HHS UL1 TR001422NIBIB NIH HHS P41 EB028242NIDA NIH HHS R25 DA038167
6 · The paper itself

Abstract

BACKGROUND/

objectiveGrowing recognition that collaboration among scientists from diverse disciplines fosters the emergence of solutions to complex scientific problems has spurred initiatives to train researchers to collaborate in interdisciplinary teams. Evaluations of collaboration patterns in these initiatives have tended to be cross-sectional, rather than clarifying temporal changes in collaborative dynamics. Mobile health (mHealth), the science of using mobile, wireless devices to improve health outcomes, is a field whose advancement needs interdisciplinary collaboration. The NIH-supported annual mHealth Training Institute (mHTI) was developed to meet that need and provides a unique testbed.

methodsIn this study, we applied a longitudinal social network analysis technique to evaluate how well the program fostered communication among the disciplinarily diverse scholars participating in the 2017-2019 mHTIs. By applying separable temporal exponential random graph models, we investigated the formation and persistence of project-based and fun conversations during the mHTIs.

resultsWe found that conversations between scholars of different disciplines were just as likely as conversations within disciplines to form or persist in the 2018 and 2019 mHTI, suggesting that the mHTI achieved its goal of fostering interdisciplinary conversations and could be a model for other team science initiatives; this finding is also true for scholars from different career stages. The presence of team and gender homophily effects in certain years suggested that scholars tended to communicate within the same team or gender.

conclusionOur results demonstrate the usefulness of longitudinal network models in evaluating team science initiatives while clarifying the processes driving interdisciplinary communications during the mHTIs.

Indexed as

communicationsgender homophilylongitudinal network analysismHTIprogram evaluationteam homophilyTeam science

Identifiers

PMID34849265
PMCPMC8596066
OpenAlexW3200819201

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.