ArticleBMJ global health2022
Using social network analysis to understand multisectoral governance in district-level tobacco control programme implementation in India.
Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Compliance with smoke-free laws in hospitality venues in Ethiopia: qualitative insights into barriers and facilitators using the tobacco control theoretical framework.BMC public health · 2025Article
- Stakeholders influence to reduce vitamin A deficiency in children aged 15 to 23 months in Iran: an analysis of stakeholders and networking.BMC nutrition · 2025Article
- A realist evaluation of the implementation of a national tobacco control programme and policy in India.Health policy and planning · 2025Article
- Article
- Dynamic assessment of community resilience in China: empirical surveys from three provinces.Frontiers in public health · 2024Article
- Critical analysis of tobacco taxation policies in Pakistan after two decades of FCTC: Policy gaps and lessons for low- and middle-income countries.Tobacco induced diseases · 2023Article
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Authors and funding
6 authors.
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Abstract
introductionInterest in multisectoral policies has increased, particularly in the context of low-income and middle-income countries and efforts towards Sustainable Development Goals, with greater attention to understand effective strategies for implementation and governance. The study aimed to explore and map the composition and structure of a multisectoral initiative in tobacco control, identifying key factors engaged in policy implementation and their patterns of relationships in local-level networks in two districts in the state of Karnataka, India.
methodsSocial network analysis (SNA) was used to examine the structure of two district tobacco control networks with differences in compliance with the India's national tobacco control law. The survey was administered to 108 respondents (n=51 and 57) in two districts, producing three distinct network maps about interaction, information-seeking and decision-making patterns within each district. The network measures of centrality, density, reciprocity, centralisation and E-I index were used to understand and compare across the two districts.
resultsMembers from the department of health, especially those in the District Tobacco Control Cell, were the most frequently consulted actors for information as they led district-level networks. The most common departments engaged beyond health were education, police and municipal. District 1's network displayed high centralisation, with a district nodal officer who exercised a central role with the highest in-degree centrality. The district also exhibited greater density and reciprocity. District 2 showed a more dispersed pattern, where subdistrict health managers had higher betweenness centrality and acted as brokers in the network.
conclusionCollaboration and cooperation among sectors and departments are essential components of multisectoral policy. SNA provides a mechanism to uncover the nature of relationships and key actors in collaborative dynamics. It can be used as a visual learning tool for policy planners and implementers to understand the structure of actual implementation and concentrate their efforts to improve and enhance collaboration.
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