A stakeholder analysis of community-led collaboration to reduce health inequity in a deprived neighbourhood in South Korea

2018 ◽  
Vol 27 (2) ◽  
pp. 35-44
Author(s):  
Hyun-Hee Heo ◽  
Woojin Jeong ◽  
Xian Hua Che ◽  
Haejoo Chung
Keyword(s):  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Service Providers ◽  
Stakeholder Analysis ◽  
Current Status ◽  
Intersectoral Collaboration ◽  
Deprived Neighborhoods ◽  
Health Promotion Interventions

Intersectoral collaboration amongst health and other sectors, as well as between government and non-governmental organisations, has been highlighted as a way to improve health equity. We used a mixed-methods approach to assess collaborative relationships between multiple government sectors and civil society and to suggest possible health promotion interventions and policy alternatives for the urban poor in deprived neighborhoods. A total of 18 participants involved in health promotion interventions and policy processes related to the inner-city area of Seoul were recruited using purposive sampling methods. Participants included stakeholders working for or engaging in governments (3), public health care institutions (5), social service providers (3), community-based organisations (CBOs) (4) and faith-based organisations (3). We conducted semi-structured, one-on-one interviews and then collected survey data. Quantitative data were analysed using social network analysis, and qualitative data were analysed through iterative and consensus processes. The social network analysis indicated that a CBO plays the most substantial role in sharing and controlling informational resources to promote health. A stakeholder analysis showed that the CBO neutrally and negatively viewed the possibility of collaboration with other stakeholders. Three themes related to challenges to intersectoral collaboration emerged: (1) lack of trust and communication, (2) need of a coalition with a committed leading actor for future collaboration and (3) organisational and political silos within and across public sectors. Increased understanding of the current status of and challenges to collaboration can inform the planning and implementation of complex intervening strategies and policies tailored to vulnerable people in deprived neighborhoods. Community-led collaborative actions empower people in marginalised communities to envision a healthier community.

scholarly journals Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Review

2021 ◽  
Author(s):  
Mohammad Reza Amir Esmaili ◽  
Behzad Damari ◽  
Ahmad Hajebi ◽  
Noora Rafiee ◽  
Reza Goudarzi ◽  
...  
Keyword(s):  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scoping Review ◽  
Web Of Science ◽  
Decision Makers ◽  
Macro Level ◽  
Intersectoral Collaboration ◽  
Micro Level

Background: In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration. Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest. Results: 52 studies were included, and 32 codes in Micro, Meso, and Macro level, were obtained. Micro-level criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis, Diagnosis of Sustainable Collaboration, Bergen, and logic models had the highest frequency. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators. Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.

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 Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India

PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0219786
Author(s):  
Connie Hoe ◽  
Binita Adhikari ◽  
Douglas Glandon ◽  
Arindam Das ◽  
Navpreet Kaur ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Rural India ◽  
Intersectoral Collaboration

scholarly journals Web service composition ranking based on QoS and social network analysis

2021 ◽  
Author(s):  
Alireza Dehghani
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Web Service ◽  
Service Composition ◽  
Service Providers ◽  
Web Service Composition ◽  
Rank Score ◽  
Higher Weights ◽  
Composition Process

Web service composition refers to the aggregation of web services for producing composite solutions in order to satisfy user requirements which can't be satisfied by atomic services. It is an essential challenge to find the most reliable and trustable complex services in each composition process. Many of current composition approaches use QoS (Quality of Service) values to select among different composition candidates. However, QoS values can't be trusted all the time since some service providers may promote their services by publishing wrong QoS values. Social network analysis techniques such as PageRank have been used successfully in finding the trustable and authoritative web resources. We believe that these techniques can also be used to improve the service composition process. We have developed a modified PageRank algorithm called Service Rank in order to find the importance level of each service in a composition based on its connectivity and invocation history. This can be accomplished by assigning higher weights to links which have more number of invocations, more up-to-date invocation time and contract signing time, and longer contract durations. Eventually the Service Rank score will be combined with the QoS score for composition ranking. Preliminary results from our experiments have proved the effectiveness of this method. As a consequence users can be more satisfied with the service composition result.

scholarly journals Stakeholder Analysis and Social Network Analysis in the Decision-Making of Industrial Land Redevelopment in China: The Case of Shanghai

2020 ◽  
Vol 17 (24) ◽  
pp. 9206
Author(s):  
Wendong Wu ◽  
Fang He ◽  
Taozhi Zhuang ◽  
Yuan Yi
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Space ◽  
Large Scale ◽  
Social Issues ◽  
Stakeholder Analysis ◽  
Industrial Land ◽  
Land Redevelopment

Currently, many large Chinese cities have entered the postindustrial era, leaving a large amount of vacant, inefficiently utilized industrial land and buildings in the inner cities. Industrial land redevelopment (ILR) can benefit cities in multiple ways, such as by increasing urban public space, improving the quality of life of citizens, and improving the environment, and is considered an effective approach to enhance people’s wellbeing. However, large-scale ILR projects often raise a series of social issues in practice, such as injustice and inequality. To address complex urban issues, ILR requires multifaceted, coordinated, and comprehensive strategies involving multitudinous stakeholders. A profound understanding of diverse stakeholders in the decision-making of ILR is a vital step in enhancing the sustainability of ILR. The aim of this paper is to use Shanghai as a case study to understand the diverse stakeholders and their participation during the decision-making of ILR in China. Interviews and questionnaires were used to collect data. Stakeholder analysis (SA) and social network analysis (SNA) were used as complementary research methodologies in this paper. First, stakeholders who participated in the decision-making of ILR were identified. Then, the characteristics of various stakeholders, including power, interests, and knowledge, were analyzed. Following this, the interactive relationships among stakeholders were explored, and their network structure was examined. Finally, policy recommendations were presented regarding stakeholder participation problems in the decision-making of ILR in China.

scholarly journals Web service composition ranking based on QoS and social network analysis

2021 ◽  
Author(s):  
Alireza Dehghani
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Web Service ◽  
Service Composition ◽  
Service Providers ◽  
Web Service Composition ◽  
Rank Score ◽  
Higher Weights ◽  
Composition Process

Web service composition refers to the aggregation of web services for producing composite solutions in order to satisfy user requirements which can't be satisfied by atomic services. It is an essential challenge to find the most reliable and trustable complex services in each composition process. Many of current composition approaches use QoS (Quality of Service) values to select among different composition candidates. However, QoS values can't be trusted all the time since some service providers may promote their services by publishing wrong QoS values. Social network analysis techniques such as PageRank have been used successfully in finding the trustable and authoritative web resources. We believe that these techniques can also be used to improve the service composition process. We have developed a modified PageRank algorithm called Service Rank in order to find the importance level of each service in a composition based on its connectivity and invocation history. This can be accomplished by assigning higher weights to links which have more number of invocations, more up-to-date invocation time and contract signing time, and longer contract durations. Eventually the Service Rank score will be combined with the QoS score for composition ranking. Preliminary results from our experiments have proved the effectiveness of this method. As a consequence users can be more satisfied with the service composition result.

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