Data from Mapping the Lay of the Land: Using Interactive Network Analytic Tools for Collaboration in Rural Cancer Prevention and Control Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1158/1055-9965.c.8170058
Background:Cancer mortality rates in the United States are higher in rural than urban areas, especially for colorectal cancer. Modifiable cancer risks (e.g., tobacco use, obesity) are more prevalent among U.S. rural than urban residents. Social network analyses are common, yet rural informal collaborative networks for cancer prevention and control and practitioner uses of network findings are less well understood.Methods:In five service areas in rural Missouri and Illinois, we conducted a network survey of informal multisector networks among agencies that address cancer risk (N = 152 individuals). The survey asked about contact, collaborative activities, and referrals. We calculated descriptive network statistics and disseminated network visualizations with rural agencies through infographics and interactive Network Navigator platforms. We also collected feedback on uses of network findings from agency staff (N = 14).Results:Service areas had more connections (average degree) for exchanging information than for more time-intensive collaborative activities of co-developing and sustaining ongoing services and programs, and co-developing and sharing resources. On average, collaborative activities were not dependent on just a few agencies to bridge gaps to hold networks together. Users found the network images and information useful for identifying gaps, planning which relationships to establish or enhance to strengthen certain collaborative activities and cross-referrals, and showing network strengths to current and potential funders.Conclusions:Rural informal cancer prevention and control networks in this study are highly connected and largely decentralized.Impact:Disseminating network findings help ensure usefulness to rural health and social service practitioners who address cancer risks.
Related Topics
- Type
- article
- Landing Page
- https://doi.org/10.1158/1055-9965.c.8170058
- OA Status
- gold
- OpenAlex ID
- https://openalex.org/W7106707612
Raw OpenAlex JSON
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https://openalex.org/W7106707612Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/1055-9965.c.8170058Digital Object Identifier
- Title
-
Data from Mapping the Lay of the Land: Using Interactive Network Analytic Tools for Collaboration in Rural Cancer Prevention and ControlWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
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2025-11-26Full publication date if available
- Authors
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Bobbi J. Carothers, Peg Allen, Callie Walsh-Bailey, Dixie Duncan, Rebeca Vanderburg Pacheco, Karen R White, Debra Jeckstadt, Edward Tsai, Ross C. BrownsonList of authors in order
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https://doi.org/10.1158/1055-9965.c.8170058Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1158/1055-9965.c.8170058Direct OA link when available
- Concepts
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Agency (philosophy), Collaborative network, Social network (sociolinguistics), Bridge (graph theory), Service (business), Knowledge management, Social network analysis, Control (management), Cancer prevention, Rural area, Infographic, Business, Rural health, Public relations, Computer science, Descriptive statistics, Organizational network analysis, Information Dissemination, Community network, Information sharing, Network mapping, Control network, Health promotion, Network analysis, Survey data collection, Cancer survivor, Health education, Cancer registry, Network service, Information systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.dependent | 163 |
| abstract_inverted_index.establish | 191 |
| abstract_inverted_index.mortality | 1 |
| abstract_inverted_index.potential | 208 |
| abstract_inverted_index.prevalent | 27 |
| abstract_inverted_index.programs, | 151 |
| abstract_inverted_index.strengths | 204 |
| abstract_inverted_index.together. | 175 |
| abstract_inverted_index.Modifiable | 18 |
| abstract_inverted_index.activities | 143, 160, 198 |
| abstract_inverted_index.calculated | 96 |
| abstract_inverted_index.colorectal | 16 |
| abstract_inverted_index.especially | 14 |
| abstract_inverted_index.exchanging | 136 |
| abstract_inverted_index.platforms. | 113 |
| abstract_inverted_index.prevention | 46, 212 |
| abstract_inverted_index.referrals. | 94 |
| abstract_inverted_index.residents. | 33 |
| abstract_inverted_index.resources. | 156 |
| abstract_inverted_index.statistics | 99 |
| abstract_inverted_index.strengthen | 195 |
| abstract_inverted_index.sustaining | 147 |
| abstract_inverted_index.usefulness | 229 |
| abstract_inverted_index.activities, | 92 |
| abstract_inverted_index.connections | 132 |
| abstract_inverted_index.descriptive | 97 |
| abstract_inverted_index.identifying | 185 |
| abstract_inverted_index.information | 137, 182 |
| abstract_inverted_index.interactive | 110 |
| abstract_inverted_index.multisector | 74 |
| abstract_inverted_index.disseminated | 101 |
| abstract_inverted_index.infographics | 108 |
| abstract_inverted_index.practitioner | 50 |
| abstract_inverted_index.co-developing | 145, 153 |
| abstract_inverted_index.collaborative | 42, 91, 142, 159, 197 |
| abstract_inverted_index.individuals). | 85 |
| abstract_inverted_index.practitioners | 236 |
| abstract_inverted_index.relationships | 189 |
| abstract_inverted_index.time-intensive | 141 |
| abstract_inverted_index.visualizations | 103 |
| abstract_inverted_index.cross-referrals, | 200 |
| abstract_inverted_index.(<i>N</i> | 82, 126 |
| abstract_inverted_index.risks.</p></div> | 240 |
| abstract_inverted_index.14).</p>Results:<p>Service | 128 |
| abstract_inverted_index.understood.</p>Methods:<p>In | 58 |
| abstract_inverted_index.funders.</p>Conclusions:<p>Rural | 209 |
| abstract_inverted_index.<div>AbstractBackground:<p>Cancer | 0 |
| abstract_inverted_index.decentralized.</p>Impact:<p>Disseminating | 224 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile |