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What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?

Background: We aimed to explore what kind of social networks characterizable as “consult/be consulted” are built among healthcare professionals in a community and the impact of providing the professionals with these findings. Methods: We adopted mixed methods exploratory study using social network a...

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Autores principales: Haruta, Junji, Tsugawa, Sho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650603/
https://www.ncbi.nlm.nih.gov/pubmed/34888285
http://dx.doi.org/10.3389/fpubh.2021.758809
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author Haruta, Junji
Tsugawa, Sho
author_facet Haruta, Junji
Tsugawa, Sho
author_sort Haruta, Junji
collection PubMed
description Background: We aimed to explore what kind of social networks characterizable as “consult/be consulted” are built among healthcare professionals in a community and the impact of providing the professionals with these findings. Methods: We adopted mixed methods exploratory study using social network analysis (SNA) and content analysis. SNA can visualize social network structures such as relationships between individuals. The healthcare professionals were asked about the key persons they consulted and were consulted by concerning these healthcare issues: (1) daily work; (2) a person with acute back pain; (3) a garbage-filled house reported by a neighbor; (4) a person with dementia; and (5) a study meeting. We identified the key roles depending on the issues using SNA. After analysis, the analytical findings were shared with the participants. To explore their cognitive responses, an open-ended questionnaire was delivered and a content analysis was implemented. Results: Of 54 healthcare professional participants, the data of 52 were available for analysis. The findings (in the respective order of the five topics above) were as follows: the number of nodes was 165, 95, 85, 82, and 68; clustering coefficient was 0.19, 0.03, 0.02, 0.11, and 0.23; assortativity was −0.043, −0.11, −0.23, −0.17, and −0.23; reciprocity was 0.35, 0.31, 0.39, 0.29, and 0.48. The top three centralities included nurses. Eighty-seven free comments were received, of which 39 were categorized as descriptive, 10 as analytical, and 38 as critical. Discussion: The structure of “consult/be consulted” networks differed by topic. SNA is available to detect the healthcare resources network and it may have helped them to reflect on their own networks.
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spelling pubmed-86506032021-12-08 What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation? Haruta, Junji Tsugawa, Sho Front Public Health Public Health Background: We aimed to explore what kind of social networks characterizable as “consult/be consulted” are built among healthcare professionals in a community and the impact of providing the professionals with these findings. Methods: We adopted mixed methods exploratory study using social network analysis (SNA) and content analysis. SNA can visualize social network structures such as relationships between individuals. The healthcare professionals were asked about the key persons they consulted and were consulted by concerning these healthcare issues: (1) daily work; (2) a person with acute back pain; (3) a garbage-filled house reported by a neighbor; (4) a person with dementia; and (5) a study meeting. We identified the key roles depending on the issues using SNA. After analysis, the analytical findings were shared with the participants. To explore their cognitive responses, an open-ended questionnaire was delivered and a content analysis was implemented. Results: Of 54 healthcare professional participants, the data of 52 were available for analysis. The findings (in the respective order of the five topics above) were as follows: the number of nodes was 165, 95, 85, 82, and 68; clustering coefficient was 0.19, 0.03, 0.02, 0.11, and 0.23; assortativity was −0.043, −0.11, −0.23, −0.17, and −0.23; reciprocity was 0.35, 0.31, 0.39, 0.29, and 0.48. The top three centralities included nurses. Eighty-seven free comments were received, of which 39 were categorized as descriptive, 10 as analytical, and 38 as critical. Discussion: The structure of “consult/be consulted” networks differed by topic. SNA is available to detect the healthcare resources network and it may have helped them to reflect on their own networks. Frontiers Media S.A. 2021-11-23 /pmc/articles/PMC8650603/ /pubmed/34888285 http://dx.doi.org/10.3389/fpubh.2021.758809 Text en Copyright © 2021 Haruta and Tsugawa. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Haruta, Junji
Tsugawa, Sho
What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?
title What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?
title_full What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?
title_fullStr What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?
title_full_unstemmed What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?
title_short What Types of Networks Do Professionals Build, and How Are They Affected by the Results of Network Evaluation?
title_sort what types of networks do professionals build, and how are they affected by the results of network evaluation?
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650603/
https://www.ncbi.nlm.nih.gov/pubmed/34888285
http://dx.doi.org/10.3389/fpubh.2021.758809
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