ArticlePreventing chronic disease2004
Interorganizational relationships within state tobacco control networks: a social network analysis.
Article in Preventing chronic disease, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interorganizational Networks in Physical Activity Promotion: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Analyzing mechanisms of interdisciplinary cooperation in promoting students' health at university.BMC public health · 2023Article
- [Interorganizational Networks for Smoking Prevention and Cessation: A Blockmodeling Approach].Journal of Korean Academy of Nursing · 2022Article
- Promoting Students' Health at University: Key Stakeholders, Cooperation, and Network Development.Frontiers in public health · 2021Article
- Rural Health Networks: How Network Analysis Can Inform Patient Care and Organizational Collaboration in a Rural Breast Cancer Screening Network.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2019Article
- Organizational networks in road safety: Case studies of U.S. Vision Zero cities.Traffic injury prevention · 2019Article
- Application of social network analysis in the assessment of organization infrastructure for service delivery: a three district case study from post-conflict northern Uganda.Health policy and planning · 2017Article
- Healthy versus Unhealthy Suppliers in Food Desert Neighborhoods: A Network Analysis of Corner Stores' Food Supplier Networks.International journal of environmental research and public health · 2015Article
- An Examination of Two Policy Networks Involved in Advancing Smokefree Policy Initiatives.International journal of environmental research and public health · 2015Article
- A Social Network Analysis of a Coalition Initiative to Prevent Underage Drinking in Los Angeles County.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2015Article
- Network collaboration of organisations for homeless individuals in the Montreal region.International journal of integrated care · 2014Article
- European national healthy city networks: the impact of an elite epistemic community.Journal of urban health : bulletin of the New York Academy of Medicine · 2013Review
- The effects of an intervention program for promoting interorganizational network building between multidisciplinary agencies and community-based organizations: a cluster trial in Japan.BMC public health · 2012Article
- Systems analysis of collaboration in 5 national tobacco control networks.American journal of public health · 2010Article
- Using network analysis to assess the evolution of organizational collaboration in response to a major environmental health threat.Health education research · 2010Article
- The influence of partnership centrality on organizational perceptions of support: a case study of the AHLN structure.BMC health services research · 2006Article
- Exploring Intra and Interorganizational Integration Efforts Involving the Primary Care Sector - A Case Study from Ontario.International journal of integrated careArticle
- Network analysis of Bogotá's Ciclovía Recreativa, a self-organized multisectorial community program to promote physical activity in a middle-income country.American journal of health promotion : AJHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionState tobacco control programs are implemented by networks of public and private agencies with a common goal to reduce tobacco use. The degree of a program's comprehensiveness depends on the scope of its activities and the variety of agencies involved in the network. Structural aspects of these networks could help describe the process of implementing a state's tobacco control program, but have not yet been examined.
methodsSocial network analysis was used to examine the structure of five state tobacco control networks. Semi-structured interviews with key agencies collected quantitative and qualitative data on frequency of contact among network partners, money flow, relationship productivity, level of network effectiveness, and methods for improvement.
resultsMost states had hierarchical communication structures in which partner agencies had frequent contact with one or two central agencies. Lead agencies had the highest control over network communication. Networks with denser communication structures had denser productivity structures. Lead agencies had the highest financial influence within the networks, while statewide coalitions were financially influenced by others. Lead agencies had highly productive relationships with others, while agencies with narrow roles had fewer productive relationships. Statewide coalitions that received Robert Wood Johnson Foundation funding had more highly productive relationships than coalitions that did not receive the funding.
conclusionResults suggest that frequent communication among network partners is related to more highly productive relationships. Results also highlight the importance of lead agencies and statewide coalitions in implementing a comprehensive state tobacco control program. Network analysis could be useful in developing process indicators for state tobacco control programs.
Indexed as
Identifiers
15670440PMC1277948What OpenQuestion holds
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.