ArticlePloS one2019
Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- An integrative perspective on interorganizational multilevel healthcare networks: a systematic literature review.BMC health services research · 2022Pooled it
- Interorganizational Networks in Physical Activity Promotion: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Social network analysis of a decade-long collaborative innovation network between hospitals and the biomedical industry in China.Scientific reports · 2024Article
- Role of actor networks in primary health care implementation in low- and middle-income countries: a scoping review.Global health action · 2023Article
- The Role of Citizen Science in Promoting Health Equity.Annual review of public health · 2022Review
- Aligning healthcare, public health and social services: A scoping review of the role of purpose, governance, finance and data.Health & social care in the community · 2022Article
- Reflections on benefits and challenges of longitudinal organisational network analysis as a tool for health systems research and practice.BMJ global health · 2021Article
- Integration of Dementia Systems in Central America: A Social Network Approach.International journal of integrated careArticle
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs population health and well-being are influenced by multiple factors that cut across sectoral boundaries, an intersectoral approach that acknowledges and leverages the multiple determinants, actors and sectors at play is increasingly seen as critical for achieving meaningful and lasting improvements. In this study, we utilize social network analysis (SNA) to characterize the intersectoral collaboration between the organizations working on maternal & child health (MCH) and water & sanitation (WASH) before and immediately after the implementation of HCL Foundation (HCLF)-funded HCL Samuday Project (2015-2017) in a rural block of Uttar Pradesh state, India. While SNA has been used to examine public health issues, few have used it monitor stakeholder relationships, intervene, improve and facilitate project implementation involving intersectoral partnerships, particularly in the context of a low-and middle-income countries.
methodAn organization-level SNA was conducted with 31 key informants from 24 organizations working on MCH and/or WASH in Kachhauna, Uttar Pradesh, India. Data were collected using face-to-face, semi-structured interviews between June and September 2017. Density, centrality and homophily were calculated to describe the network and a qualitative analysis was also conducted to identify the strengths and weaknesses of collaboration between organizations working on MCH and WASH.
resultsOverall, our findings showed that the network of organizations working on MCH and WASH in Kachhauna grew in number since the implementation of Samuday. HCLF rapidly achieved centrality, thus positioning the organization to serve as a gatekeeper of information and enabling it to play a coordinator role within the network. Direct collaboration between other organizations working on MCH and WASH was low at both time points. Interviews with key informants indicated widespread interest in increasing interorganizational interactions and engagement throughout the network.
conclusionThis study demonstrates the feasibility and practical application of SNA for projects like Samuday that involve intersectoral collaboration. It also provides lessons about the use of SNA with organizations as the unit of analysis and in the context of rural India, including challenges, practical considerations, and limitations.
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