Social network analysis for farmers' hearing services in a rural community

2010 ◽  
Vol 16 (1) ◽  
pp. 47 ◽  
Author(s):  
Tony Lower ◽  
Lyn Fragar ◽  
Julie Depcynzksi ◽  
Jeffrey Fuller ◽  
Kathy Challinor ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Service ◽  
Service Provision ◽  
Relevant Information ◽  
Health Networks ◽  
Health Service Provision ◽  
Hearing Health ◽  
Farming Families

This study aimed to define current hearing health service networks for farming families in a major regional centre in New South Wales, in order to identify approaches that can strengthen local service provision. A pilot survey of individuals and agencies that potentially work with farmers was undertaken and a social network analysis completed to assess the self-reported links of agencies with each other. Thirteen agencies with a role in hearing health service provision participated with results indicating that nurse audiometrists, WorkCover NSW and agricultural retailers have the lead role in disseminating relevant information within the network. For client referrals the nurse audiometrist, private audiometry services, general practitioners, ear, nose and throat specialists and industry groups played the major roles. Social network analysis can assist in defining hearing health networks and can be used to highlight potential actions that can strengthen networks to enhance services for farmers and their families.

scholarly journals Carer experience of end-of-life service provision: a social network analysis

2018 ◽  
Vol 10 (2) ◽  
pp. e20-e20 ◽  
Author(s):  
Rosemary Leonard ◽  
Debbie Horsfall ◽  
John Rosenberg ◽  
Kerrie Noonan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
End Of Life ◽  
Service Provision ◽  
End Of Life Care ◽  
Service Providers ◽  
Informal Networks ◽  
Formal Service ◽  
Similar Density

ObjectiveTo identify the position of formal service providers in the networks of those providing end-of-life care in the home from the perspective of the informal network.MethodsUsing third-generation social network analysis, this study examined the nature and strength of relationships of informal caring networks with formal service providers through individual carer interviews, focus groups of caring networks and outer network interviews.ResultsService providers were usually highly valued for providing services, equipment, pain management and personalised care for the dying person plus support and advice to the principal carer about both caring tasks and negotiating the health system. However, formal service providers were positioned as marginal in the caring network. Analysis of the relative density of relationships within networks showed that whereas relationships among family and friends had similar density, relationships between service providers and family or friends were significantly lower.ConclusionThe results supported the Circles of Care model and mirror the perspective of formal service providers identified in previous research. The research raises questions about how formal and informal networks might be better integrated to increase their effectiveness for supporting in-home care.

scholarly journals Social network analysis and mining: challenges and applications

2021 ◽  
Author(s):  
Bruna P. Fonseca ◽  
Priscila C. Albuquerque ◽  
Fabio Zicker ◽  
Carlos M. Morel
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Practical Knowledge ◽  
Relevant Information ◽  
Critical Perspective ◽  
Research Fields ◽  
New Challenges ◽  
Advanced Computing ◽  
Computing Infrastructure

Social network analysis and mining (SNAM) is a powerful tool to dis- close relevant information hidden in large volumes of raw data. Its application to several research fields, powered by automation and advanced computing infrastructure, expanded its use and brought along new challenges. In this paper, we provide a critical perspective on SNAM’s major challenges, by discussing a few examples. We also address some promising applications that can potentially translate SNAM results into practical knowledge.

scholarly journals Social network analysis as a strategy for monitoring the dissemination of information between hospitals

2016 ◽  
Vol 28 (3) ◽  
pp. 309-322 ◽  
Author(s):  
Francisco José Aragão Pedroza CUNHA ◽  
Núbia Moura RIBEIRO ◽  
Roberto Luiz Souza MONTEIRO ◽  
Hernane Borges de Barros PEREIRA
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Service ◽  
Driving Forces ◽  
Weak Interactions ◽  
Service Organizations ◽  
Theoretical Concepts ◽  
Diffusion Of Knowledge ◽  
Health Service Organizations

Abstract This article explores the structure of connections between the hospitals that are members of a hospital management innovation and learning network. This study was based on the assumption that there are limitations to encourage the communication and diffusion of knowledge between health service organizations if they are not effectively connected through social networks. Social Network Analysis was used as a strategy for monitoring the dissemination of information between hospitals. Theoretical concepts of diffusion of knowledge allowed emphasizing the role of the phenomena and communication and learning processes as the driving forces for health service innovation. The results showed weak interactions between hospitals and a lack of cohesion within the network. Therefore, there is a need for policies to promote the flow of data and information, which requires network openness to foster the exchange of innovative processes. Interactions between these hospitals in horizontal and disseminated structures have yet to be stimulated, established, incorporated, and developed by individuals, institutions and health service organizations.

Understanding the Development, Evaluation, and Sustainability of Community Health Networks Using Social Network Analysis: A Scoping Review

2021 ◽  
pp. 089011712110459
Author(s):  
Vicki Lynn Simpson ◽  
Zachary Joseph Hass ◽  
Jitesh Panchal ◽  
Bethany McGowan
Keyword(s):  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
English Language ◽  
Data Extraction ◽  
Cochrane Library ◽  
Health Networks ◽  
Partnership Development ◽  
Geographical Regions

Objective Identify the scope of the literature which reports use of social network analysis to inform, support, or evaluate health promotion–focused community network/partnership development. Data Source A comprehensive search (not date-limited) of PubMed, CINAHL, Web of Science Core Collection, PsycInfo, and the Cochrane Library Database for Systematic Reviews. Inclusion and Exclusion Criteria Criteria for inclusion included published in the English language and used social network analysis to inform, support, or evaluate development of community networks/partnerships aiding health promotion efforts. Studies were excluded if they did not use social network analysis or were not focused upon health promotion. Data Extraction Three of the four authors extracted data using a summary chart to document information regarding study aims, target issue/population, methods, and key outcomes of the social network analysis. Data Synthesis The extracted data were qualitatively analyzed by 3 authors to categorize key social network analysis outcomes into categories. Results Ninety-seven studies representing 9 geographical regions were included, with the majority (69) published after 2010. Key outcomes included the effectiveness of social network analysis to identify network characteristics, track network change over time, compare similar networks across locations, and correlate network attributes with outcomes. Conclusion Findings support the utility of social network analysis to inform, support, and evaluate development of sustainable health promotion–focused networks/partnerships.

scholarly journals Initiatives and partnerships in an Australian metropolitan obesity prevention system: a social network analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Krysten Blackford ◽  
Justine E. Leavy ◽  
Abbie-Clare Vidler ◽  
Dan Chamberlain ◽  
Christina Pollard ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Service ◽  
Behaviour Change ◽  
Obesity Prevention ◽  
Local Level ◽  
Survey Respondent ◽  
Individual Level ◽  
Prevention System

Abstract Background Limited resources make prevention of complex population-level issues such as obesity increasingly challenging. Collaboration and partnerships between organisations operating in the same system can assist, however, there is a paucity of research into how relationships function at a local level. The aim of this study was to audit initiatives, explore networks, and identify potential opportunities for improving the obesity prevention system in a Health Service area of Western Australia (WA). Methods A mixed-methods study was undertaken in a metropolitan Health Service in Perth, WA in 2019–20. Structured face-to-face interviews (n = 51) were conducted with organisations engaged in obesity prevention, to identify prevention initiatives and their characteristics using a Systems Inventory tool. The Research Team identified the 30 most active organisations during the Systems Inventory, and an online Organisational Network Survey was administered to explore: relationships across six domains; partnership duration; frequency of interaction with other organisations; barriers to implementation; and key contributions to obesity prevention. Descriptive statistics were used to summarise barriers, contributions and Systems Inventory data. Organisational Network Survey data were analysed using social network analysis through UCINET 6 for Windows and Netdraw software. Whole network and cohesion scores were calculated: average degree; density; diameter; and degree centralization. Core-periphery analysis was conducted to identify densely connected core and sparsely connected periphery organisations. Results The Systems Inventory identified 189 unique prevention initiatives, mostly focusing on individual-level behaviour change. Fifty four percent (n = 15) of the Organisational Network Survey respondent organisations and most core organisations (67%, n = 8) were government. The information and knowledge sharing network had a density of 45% indicating a high level of information and knowledge exchange between organisations. The lowest densities were found within the receiving (3.3%), providing (5.5%) and sharing (5.6%) funding networks, suggesting that these formal relationships were the least established. Conclusion Applying a systems thinking lens to local obesity prevention revealed that initiatives conducted focused on individual-level behaviour change and that collaboration and communication between organisations focused on information sharing. Capturing the extent and nature of initiatives and the way partnerships operate to improve obesity prevention can help to identify opportunities to strengthen the networks.

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