Evidence map›Paper›PMID 24363957›Full record

ArticleAnnals of anthropological practice2011

A SOCIAL NETWORK ANALYSIS APPROACH TO UNDERSTAND CHANGES IN A CANCER DISPARITIES COMMUNITY PARTNERSHIP NETWORK.

John S Luque, Dinorah Martinez Tyson, Shalanda A Bynum, Shalewa Noel-Thomas, Kristen J Wells, Susan T Vadaparampil, Clement K Gwede, Cathy D Meade

Open access · greenAbstract read
In one paragraph

Article in Annals of anthropological practice, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

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  6. Mapping the Lay of the Land: Using Interactive Network Analytic Tools for Collaboration in Rural Cancer Prevention and Control.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

8 authors at 3 institutions in 1 country.

John S LuqueGeorgia Southern University.
Dinorah Martinez TysonUniversity of South Florida.
Shalanda A BynumMoffitt Cancer Center.
Shalewa Noel-ThomasMoffitt Cancer Center.
Kristen J WellsUniversity of South Florida.
Susan T VadaparampilMoffitt Cancer Center.
Clement K GwedeMoffitt Cancer Center.
Cathy D MeadeMoffitt Cancer Center.
Moffitt Cancer Center · USUniversity of South Florida · USGeorgia Southern University · US

Funding

Tampa Bay Community Cancer Network (TB-CCN): A Model fo*U01CA114627 · NCI · H. LEE MOFFITT CANCER CTR &RES INST · PI MEADE, CATHY D. · 2005 to 2009
$3.5M
NCI NIH HHS U01 CA114627
6 · The paper itself

Abstract

The Tampa Bay Community Cancer Network (TBCCN) is one of the Community Network Program sites funded (2005-10) by the National Cancer Institute's Center to Reduce Cancer Health Disparities. TBCCN was tasked to form a sustainable, community-based partnership network focused on the goal of reducing cancer health disparities among racial-ethnic minority and medically underserved populations. This article reports evaluation outcome results from a social network analysis and discusses the varying TBCCN partner roles-in education, training, and research-over a span of three years (2007-09). The network analysis included 20 local community partner organizations covering a tricounty area in Southwest Florida. In addition, multiple externally funded, community-based participatory research pilot projects with community-academic partners have either been completed or are currently in progress, covering research topics including culturally targeted colorectal and prostate cancer screening education, patient navigation focused on preventing cervical cancer in rural Latinas, and community perceptions of biobanking. The social network analysis identified a trend toward increased network decentralization based on betweenness centrality and overall increase in number of linkages, suggesting network sustainability. Degree centrality, trust, and multiplexity exhibited stability over the three-year time period. These results suggest increased interaction and interdependence among partner organizations and less dependence on the cancer center. Social network analysis enabled us to quantitatively evaluate partnership network functioning of TBCCN in terms of network structure and information and resources flows, which are integral to understanding effective coalition practice based on Community Coalition Action Theory ( Butterfoss and Kegler 2009). Sharing the results of the social network analysis with the partnership network is an important component of our coalition building efforts. A comprehensive baseline needs assessment for the next five-year funding phase (2010-15) of TBCCN Community Networks Program Centers (CNP Center) is under way to further evaluate the growth and sustainability of the partnership network, with an emphasis on community-based intervention research that takes into account culture and literacy. [social network, health care disparities, cancer screening].

Identifiers

PMID24363957
PMCPMC3867274
OpenAlexW2091415485

What OpenQuestion holds

Textmetadata
LicenceTDM
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.