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Partnership capacity for community health improvement plan implementation

Findings from a social network analysis

Bibliographic Data

ID15366342
AuthorsJ Mac McCullough (0000-0002-0070-4943, Arizona State University, corresponding author), Eileen Eisen-Cohen (Maricopa County Department of Public Health), St Salas (Maricopa County Department of Public Health), S Bianca Salas
Year2016
Volume16
Issue1
Pages566-566
Publication date2016-07-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-016-3194-7
PMID27411474
OpenAlexW2469358492
LanguageEN
Citations received10
References cited25

Our study presents a novel use of social network analysis methods to evaluate the coalition of organizations involved in implementing a CHIP in an urban community. The large coalition had relatively low network density but high degree centralization-meaning key organizations link organizations otherwise not tightly partnering. Coalition members rated each other highly on trust, a positive sign for future partnership development efforts. Examination of network maps reveal key organizations that can be targeted for future partnership facilitation and expansion. Future network data collection will enable exploration of longitudinal trends and exploration of network characteristics versus health behavior, status, and outcome changes

Business · Community health · General partnership · Knowledge management · Leverage (statistics · Political science · Process management · Public health · Public relations · Social capital · Social network (sociolinguistics · Social network analysis · Community Health and Development · Computer Science · Health Policy Implementation Science · Medicine · Nursing · Public Health Policies and Education · Finance

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Unique citing works10
Citations per year1,11
Citation span2017 - 2025 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 10
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