The Future of Social Network Analysis of Health Care System Data: Promise and Concerns

As health care is shifting from hospital to community, community health nurses (CHNs) are directly affected. This descriptive qualitative study sought to understand priority issues currently facing CHNs, explore development of a national vision for community health nursing, and develop recommendations to shape the future of the profession moving toward the year 2020. Focus groups and key informant interviews were conducted across Canada. Five key themes were identified: community health nursing in crisis now, a flawed health care system, responding to the public, vision for the future, and CHNs as solution makers. Key recommendations include developing a common definition and vision of community health nursing, collaborating on an aggressive plan to shift to a primary health care system, developing a comprehensive social marketing strategy, refocusing basic baccalaureate education, enhancing the capacity of community health researchers and knowledge in community health nursing, and establishing a community health nursing center of excellence.

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Innovations by and for Patients, and Their Place in the Future Health Care System

Boundaryless Hospital ◽

10.1007/978-3-662-49012-9_19 ◽

2016 ◽

pp. 341-357 ◽

Cited By ~ 4

Author(s):

Leid Zejnilović ◽

Pedro Oliveira ◽

Helena Canhão

Keyword(s):

Health Care ◽

Health Care System ◽

Future Health ◽

The Future ◽

Future Health Care ◽

Care System

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Community Tracking Study and Related Studies: Monitoring Change in the American Health Care System [Data: 1993-2001, Reports 1995-2003]

ICPSR Data Holdings ◽

10.3886/icpsr03758.v1 ◽

2004 ◽

Cited By ~ 2

Author(s):

◽

Keyword(s):

Health Care ◽

Health Care System ◽

American Health Care System ◽

American Health Care ◽

System Data ◽

Monitoring Change ◽

Care System

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Measurement of Fall Injury With Health Care System Data and Assessment of Inclusiveness and Validity of Measurement Models

JAMA Network Open ◽

10.1001/jamanetworkopen.2019.9679 ◽

2019 ◽

Vol 2 (8) ◽

pp. e199679 ◽

Cited By ~ 3

Author(s):

Lillian Min ◽

Mary Tinetti ◽

Kenneth M. Langa ◽

Jinkyung Ha ◽

Neil Alexander ◽

...

Keyword(s):

Health Care ◽

Health Care System ◽

Fall Injury ◽

Measurement Models ◽

System Data ◽

Care System

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Nature-Based Interventions for Mental Health Care: Social Network Analysis as a Tool to Map Social Farms and their Response to Social Inclusion and Community Engagement

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16183501 ◽

2019 ◽

Vol 16 (18) ◽

pp. 3501 ◽

Cited By ~ 2

Author(s):

Marta Borgi ◽

Mario Marcolin ◽

Paolo Tomasin ◽

Cinzia Correale ◽

Aldina Venerosi ◽

...

Keyword(s):

Mental Health ◽

Health Care ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Mental Health Care ◽

Rural Areas ◽

Social Inclusion ◽

Local Communities ◽

Social Farming

Social farming represents a hybrid governance model in which public bodies, local communities, and economic actors act together to promote health and social inclusion in rural areas. Although relational variables are crucial to foster social farm performance, the relational system in which farms are embedded has still not been fully described. Using social network analysis, here we map the nature of the links of a selected sample of social farms operating in Northern Italy. We also explore possible network variations following specific actions taken to potentiate local social farming initiatives. The results show a certain degree of variability in terms of the extension and features of the examined networks. Overall, the actions taken appear to be significant to enlarge and diversify farms’ networks. Social farming has the potential to provide important benefits to society and the environment and to contrast vulnerability in rural areas. Being able to create social and economic networks of local communities, social farming may also represent an innovative way to respond to the cultural shift from institutional psychiatry to community-based mental health care. This study emphasizes the critical role played by network facilitation in diversifying actors, promoting heterogeneous relationships, and, in turn, system complexity.

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