ArticleClinical and translational science2015
A Social Network Analysis of 140 Community-Academic Partnerships for Health: Examining the Healthier Wisconsin Partnership Program.
Article in Clinical and translational science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 28 citations in OpenAlex.
- Analyzing mechanisms of interdisciplinary cooperation in promoting students' health at university.BMC public health · 2023Article
- Promoting Students' Health at University: Key Stakeholders, Cooperation, and Network Development.Frontiers in public health · 2021Article
- Measuring quality and outcomes of research collaborations: An integrative review.Journal of clinical and translational science · 2019Article
- Participatory methods to support team science development for predictive analytics in health.Journal of clinical and translational science · 2018Article
- Applying Social Network Analysis to Evaluate Implementation of a Multisector Population Health Collaborative That Uses a Bridging Hub Organization.Frontiers in public health · 2018Article
- Defining and Measuring Community Engagement and Community-Engaged Research: Clinical and Translational Science Institutional Practices.Progress in community health partnerships : research, education, and action · 2018Article
- Towards a practical model for community engagement: Advancing the art and science in academic health centers.Journal of clinical and translational science · 2017Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
introductionSocial Network Analysis (SNA) provides an important, underutilized approach to evaluating Community Academic Partnerships for Health (CAPHs). This study examines administrative data from 140 CAPHs funded by the Healthier Wisconsin Partnership Program (HWPP).
methodsFunder data was normalized to maximize number of interconnections between funded projects and 318 non-redundant community partner organizations in a dual mode analysis, examining the period from 2003-2013.Two strategic planning periods, 2003-2008 vs. 2009-2014, allowed temporal comparison.
resultsConnectivity of the network was largely unchanged over time, with most projects and partner organizations connected to a single large component in both time periods. Inter-partner ties formed in HWPP projects were transient. Most community partners were only involved in projects during one strategic time period. Community organizations participating in both time periods were involved in significantly more projects during the first time period than partners participating in the first time period only (Cohen's d = 0.93). DISCUSSION: This approach represents a significant step toward using objective (non-survey) data for large clusters of health partnerships and has implications for translational science in community settings. Considerations for government, funders, and communities are offered. Examining partnerships within health priority areas, orphaned projects, and faculty ties to these networks are areas for future research.
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Registered trials
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.