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Social Network Analysis for Program Implementation
This paper introduces the use of social network analysis theory and tools for implementation research. The social network perspective is useful for understanding, monitoring, influencing, or evaluating the implementation process when programs, policies, practices, or principles are designed and scal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482437/ https://www.ncbi.nlm.nih.gov/pubmed/26110842 http://dx.doi.org/10.1371/journal.pone.0131712 |
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author | Valente, Thomas W. Palinkas, Lawrence A. Czaja, Sara Chu, Kar-Hai Brown, C. Hendricks |
author_facet | Valente, Thomas W. Palinkas, Lawrence A. Czaja, Sara Chu, Kar-Hai Brown, C. Hendricks |
author_sort | Valente, Thomas W. |
collection | PubMed |
description | This paper introduces the use of social network analysis theory and tools for implementation research. The social network perspective is useful for understanding, monitoring, influencing, or evaluating the implementation process when programs, policies, practices, or principles are designed and scaled up or adapted to different settings. We briefly describe common barriers to implementation success and relate them to the social networks of implementation stakeholders. We introduce a few simple measures commonly used in social network analysis and discuss how these measures can be used in program implementation. Using the four stage model of program implementation (exploration, adoption, implementation, and sustainment) proposed by Aarons and colleagues [1] and our experience in developing multi-sector partnerships involving community leaders, organizations, practitioners, and researchers, we show how network measures can be used at each stage to monitor, intervene, and improve the implementation process. Examples are provided to illustrate these concepts. We conclude with expected benefits and challenges associated with this approach. |
format | Online Article Text |
id | pubmed-4482437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44824372015-07-01 Social Network Analysis for Program Implementation Valente, Thomas W. Palinkas, Lawrence A. Czaja, Sara Chu, Kar-Hai Brown, C. Hendricks PLoS One Research Article This paper introduces the use of social network analysis theory and tools for implementation research. The social network perspective is useful for understanding, monitoring, influencing, or evaluating the implementation process when programs, policies, practices, or principles are designed and scaled up or adapted to different settings. We briefly describe common barriers to implementation success and relate them to the social networks of implementation stakeholders. We introduce a few simple measures commonly used in social network analysis and discuss how these measures can be used in program implementation. Using the four stage model of program implementation (exploration, adoption, implementation, and sustainment) proposed by Aarons and colleagues [1] and our experience in developing multi-sector partnerships involving community leaders, organizations, practitioners, and researchers, we show how network measures can be used at each stage to monitor, intervene, and improve the implementation process. Examples are provided to illustrate these concepts. We conclude with expected benefits and challenges associated with this approach. Public Library of Science 2015-06-25 /pmc/articles/PMC4482437/ /pubmed/26110842 http://dx.doi.org/10.1371/journal.pone.0131712 Text en © 2015 Valente et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Valente, Thomas W. Palinkas, Lawrence A. Czaja, Sara Chu, Kar-Hai Brown, C. Hendricks Social Network Analysis for Program Implementation |
title | Social Network Analysis for Program Implementation |
title_full | Social Network Analysis for Program Implementation |
title_fullStr | Social Network Analysis for Program Implementation |
title_full_unstemmed | Social Network Analysis for Program Implementation |
title_short | Social Network Analysis for Program Implementation |
title_sort | social network analysis for program implementation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482437/ https://www.ncbi.nlm.nih.gov/pubmed/26110842 http://dx.doi.org/10.1371/journal.pone.0131712 |
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