Social network analysis of public health programs to measure partnership. Schoen, M. W., Moreland-Russell, S., Prewitt, K., & Carothers, B. J. Social Science & Medicine, 123:90--95, December, 2014. ![Social network analysis of public health programs to measure partnership [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In order to prevent chronic diseases, community-based programs are encouraged to take an ecological approach to public health promotion and involve many diverse partners. Little is known about measuring partnership in implementing public health strategies. We collected data from 23 Missouri communities in early 2012 that received funding from three separate programs to prevent obesity and/or reduce tobacco use. While all of these funding programs encourage partnership, only the Social Innovation for Missouri (SIM) program included a focus on building community capacity and enhancing collaboration. Social network analysis techniques were used to understand contact and collaboration networks in community organizations. Measurements of average degree, density, degree centralization, and betweenness centralization were calculated for each network. Because of the various sizes of the networks, we conducted comparative analyses with and without adjustment for network size. SIM programs had increased measurements of average degree for partner collaboration and larger networks. When controlling for network size, SIM groups had higher measures of network density and lower measures of degree centralization and betweenness centralization. SIM collaboration networks were more dense and less centralized, indicating increased partnership. The methods described in this paper can be used to compare partnership in community networks of various sizes. Further research is necessary to define causal mechanisms of partnership development and their relationship to public health outcomes.
@article{schoen_social_2014,
title = {Social network analysis of public health programs to measure partnership},
volume = {123},
issn = {0277-9536},
url = {http://www.sciencedirect.com/science/article/pii/S0277953614007102},
doi = {10.1016/j.socscimed.2014.10.057},
abstract = {In order to prevent chronic diseases, community-based programs are encouraged to take an ecological approach to public health promotion and involve many diverse partners. Little is known about measuring partnership in implementing public health strategies. We collected data from 23 Missouri communities in early 2012 that received funding from three separate programs to prevent obesity and/or reduce tobacco use. While all of these funding programs encourage partnership, only the Social Innovation for Missouri (SIM) program included a focus on building community capacity and enhancing collaboration.
Social network analysis techniques were used to understand contact and collaboration networks in community organizations. Measurements of average degree, density, degree centralization, and betweenness centralization were calculated for each network. Because of the various sizes of the networks, we conducted comparative analyses with and without adjustment for network size. SIM programs had increased measurements of average degree for partner collaboration and larger networks. When controlling for network size, SIM groups had higher measures of network density and lower measures of degree centralization and betweenness centralization.
SIM collaboration networks were more dense and less centralized, indicating increased partnership. The methods described in this paper can be used to compare partnership in community networks of various sizes. Further research is necessary to define causal mechanisms of partnership development and their relationship to public health outcomes.},
urldate = {2014-12-01},
journal = {Social Science \& Medicine},
author = {Schoen, Martin W. and Moreland-Russell, Sarah and Prewitt, Kim and Carothers, Bobbi J.},
month = dec,
year = {2014},
keywords = {Collaboration, Community research, Obesity prevention, Partnership, Public health, social network analysis, Tobacco cessation},
pages = {90--95},
file = {ScienceDirect Full Text PDF:files/50228/Schoen et al. - 2014 - Social network analysis of public health programs .pdf:application/pdf;ScienceDirect Snapshot:files/50229/S0277953614007102.html:text/html}
}
Downloads: 0
{"_id":"26n3paomeoKCYzHdm","bibbaseid":"schoen-morelandrussell-prewitt-carothers-socialnetworkanalysisofpublichealthprogramstomeasurepartnership-2014","downloads":0,"creationDate":"2016-09-09T06:27:33.864Z","title":"Social network analysis of public health programs to measure partnership","author_short":["Schoen, M. W.","Moreland-Russell, S.","Prewitt, K.","Carothers, B. J."],"year":2014,"bibtype":"article","biburl":"https://www.sfu.ca/~howlett/howlett16.bib","bibdata":{"bibtype":"article","type":"article","title":"Social network analysis of public health programs to measure partnership","volume":"123","issn":"0277-9536","url":"http://www.sciencedirect.com/science/article/pii/S0277953614007102","doi":"10.1016/j.socscimed.2014.10.057","abstract":"In order to prevent chronic diseases, community-based programs are encouraged to take an ecological approach to public health promotion and involve many diverse partners. Little is known about measuring partnership in implementing public health strategies. We collected data from 23 Missouri communities in early 2012 that received funding from three separate programs to prevent obesity and/or reduce tobacco use. While all of these funding programs encourage partnership, only the Social Innovation for Missouri (SIM) program included a focus on building community capacity and enhancing collaboration. Social network analysis techniques were used to understand contact and collaboration networks in community organizations. Measurements of average degree, density, degree centralization, and betweenness centralization were calculated for each network. Because of the various sizes of the networks, we conducted comparative analyses with and without adjustment for network size. SIM programs had increased measurements of average degree for partner collaboration and larger networks. When controlling for network size, SIM groups had higher measures of network density and lower measures of degree centralization and betweenness centralization. SIM collaboration networks were more dense and less centralized, indicating increased partnership. The methods described in this paper can be used to compare partnership in community networks of various sizes. Further research is necessary to define causal mechanisms of partnership development and their relationship to public health outcomes.","urldate":"2014-12-01","journal":"Social Science & Medicine","author":[{"propositions":[],"lastnames":["Schoen"],"firstnames":["Martin","W."],"suffixes":[]},{"propositions":[],"lastnames":["Moreland-Russell"],"firstnames":["Sarah"],"suffixes":[]},{"propositions":[],"lastnames":["Prewitt"],"firstnames":["Kim"],"suffixes":[]},{"propositions":[],"lastnames":["Carothers"],"firstnames":["Bobbi","J."],"suffixes":[]}],"month":"December","year":"2014","keywords":"Collaboration, Community research, Obesity prevention, Partnership, Public health, social network analysis, Tobacco cessation","pages":"90--95","file":"ScienceDirect Full Text PDF:files/50228/Schoen et al. - 2014 - Social network analysis of public health programs .pdf:application/pdf;ScienceDirect Snapshot:files/50229/S0277953614007102.html:text/html","bibtex":"@article{schoen_social_2014,\n\ttitle = {Social network analysis of public health programs to measure partnership},\n\tvolume = {123},\n\tissn = {0277-9536},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0277953614007102},\n\tdoi = {10.1016/j.socscimed.2014.10.057},\n\tabstract = {In order to prevent chronic diseases, community-based programs are encouraged to take an ecological approach to public health promotion and involve many diverse partners. Little is known about measuring partnership in implementing public health strategies. We collected data from 23 Missouri communities in early 2012 that received funding from three separate programs to prevent obesity and/or reduce tobacco use. While all of these funding programs encourage partnership, only the Social Innovation for Missouri (SIM) program included a focus on building community capacity and enhancing collaboration.\n\nSocial network analysis techniques were used to understand contact and collaboration networks in community organizations. Measurements of average degree, density, degree centralization, and betweenness centralization were calculated for each network. Because of the various sizes of the networks, we conducted comparative analyses with and without adjustment for network size. SIM programs had increased measurements of average degree for partner collaboration and larger networks. When controlling for network size, SIM groups had higher measures of network density and lower measures of degree centralization and betweenness centralization.\n\nSIM collaboration networks were more dense and less centralized, indicating increased partnership. The methods described in this paper can be used to compare partnership in community networks of various sizes. Further research is necessary to define causal mechanisms of partnership development and their relationship to public health outcomes.},\n\turldate = {2014-12-01},\n\tjournal = {Social Science \\& Medicine},\n\tauthor = {Schoen, Martin W. and Moreland-Russell, Sarah and Prewitt, Kim and Carothers, Bobbi J.},\n\tmonth = dec,\n\tyear = {2014},\n\tkeywords = {Collaboration, Community research, Obesity prevention, Partnership, Public health, social network analysis, Tobacco cessation},\n\tpages = {90--95},\n\tfile = {ScienceDirect Full Text PDF:files/50228/Schoen et al. - 2014 - Social network analysis of public health programs .pdf:application/pdf;ScienceDirect Snapshot:files/50229/S0277953614007102.html:text/html}\n}\n\n","author_short":["Schoen, M. W.","Moreland-Russell, S.","Prewitt, K.","Carothers, B. J."],"key":"schoen_social_2014","id":"schoen_social_2014","bibbaseid":"schoen-morelandrussell-prewitt-carothers-socialnetworkanalysisofpublichealthprogramstomeasurepartnership-2014","role":"author","urls":{"Paper":"http://www.sciencedirect.com/science/article/pii/S0277953614007102"},"keyword":["Collaboration","Community research","Obesity prevention","Partnership","Public health","social network analysis","Tobacco cessation"],"downloads":0},"search_terms":["social","network","analysis","public","health","programs","measure","partnership","schoen","moreland-russell","prewitt","carothers"],"keywords":["collaboration","community research","obesity prevention","partnership","public health","social network analysis","tobacco cessation"],"authorIDs":[],"dataSources":["Bn7xRaKMY43f7hFwh"]}