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Constructing within and between hospital physician social networks for modeling physician research participation
BACKGROUND: Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians’ interest in participating in scientific studies. Understanding the factors that influence physician participation in r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613378/ https://www.ncbi.nlm.nih.gov/pubmed/37898745 http://dx.doi.org/10.1186/s12874-023-02069-2 |
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author | Bobak, Carly A. Mohan, Deepika Murphy, Megan A. Barnato, Amber E. O’Malley, A. James |
author_facet | Bobak, Carly A. Mohan, Deepika Murphy, Megan A. Barnato, Amber E. O’Malley, A. James |
author_sort | Bobak, Carly A. |
collection | PubMed |
description | BACKGROUND: Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians’ interest in participating in scientific studies. Understanding the factors that influence physician participation in research is crucial to addressing this gap. METHODS: In this study, we used a physician’s social network, as constructed from patient billing data, to study if the research choices of a physician’s immediate peers influence their likelihood to participate in scientific research. We analyzed data from 348 physicians across 40 hospitals. We used logistic regression models to examine the relationship between a physician’s participation in clinical trials and the participation of their social network peers, adjusting for age, years of employment, and influences from other hospital facilities. RESULTS: We found that the likelihood of a physician participating in clinical trials increased dramatically with the proportion of their social network-defined colleagues at their primary hospital who were participating ([Formula: see text] for a 1% increase in the proportion of participating peers, [Formula: see text] ). Additionally, physicians who work regularly at multiple facilities were more likely to participate ([Formula: see text] , [Formula: see text] ) and increasingly so as the extent to which they have social network ties to colleagues at hospitals other than their primary hospital increases ([Formula: see text] , [Formula: see text] ). These findings suggest an inter-hospital peer participation process. CONCLUSION: Our study provides evidence that the social structure of a physician’s work-life is associated with their decision to participate in scientific research. The results suggest that interventions aimed at increasing physician participation in clinical trials could leverage the social networks of physicians to encourage participation. By identifying factors that influence physician participation in research, we can work towards closing the gap between the demand for physician research partners and the number of physicians willing to participate in scientific studies. |
format | Online Article Text |
id | pubmed-10613378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106133782023-10-30 Constructing within and between hospital physician social networks for modeling physician research participation Bobak, Carly A. Mohan, Deepika Murphy, Megan A. Barnato, Amber E. O’Malley, A. James BMC Med Res Methodol Research BACKGROUND: Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians’ interest in participating in scientific studies. Understanding the factors that influence physician participation in research is crucial to addressing this gap. METHODS: In this study, we used a physician’s social network, as constructed from patient billing data, to study if the research choices of a physician’s immediate peers influence their likelihood to participate in scientific research. We analyzed data from 348 physicians across 40 hospitals. We used logistic regression models to examine the relationship between a physician’s participation in clinical trials and the participation of their social network peers, adjusting for age, years of employment, and influences from other hospital facilities. RESULTS: We found that the likelihood of a physician participating in clinical trials increased dramatically with the proportion of their social network-defined colleagues at their primary hospital who were participating ([Formula: see text] for a 1% increase in the proportion of participating peers, [Formula: see text] ). Additionally, physicians who work regularly at multiple facilities were more likely to participate ([Formula: see text] , [Formula: see text] ) and increasingly so as the extent to which they have social network ties to colleagues at hospitals other than their primary hospital increases ([Formula: see text] , [Formula: see text] ). These findings suggest an inter-hospital peer participation process. CONCLUSION: Our study provides evidence that the social structure of a physician’s work-life is associated with their decision to participate in scientific research. The results suggest that interventions aimed at increasing physician participation in clinical trials could leverage the social networks of physicians to encourage participation. By identifying factors that influence physician participation in research, we can work towards closing the gap between the demand for physician research partners and the number of physicians willing to participate in scientific studies. BioMed Central 2023-10-28 /pmc/articles/PMC10613378/ /pubmed/37898745 http://dx.doi.org/10.1186/s12874-023-02069-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bobak, Carly A. Mohan, Deepika Murphy, Megan A. Barnato, Amber E. O’Malley, A. James Constructing within and between hospital physician social networks for modeling physician research participation |
title | Constructing within and between hospital physician social networks for modeling physician research participation |
title_full | Constructing within and between hospital physician social networks for modeling physician research participation |
title_fullStr | Constructing within and between hospital physician social networks for modeling physician research participation |
title_full_unstemmed | Constructing within and between hospital physician social networks for modeling physician research participation |
title_short | Constructing within and between hospital physician social networks for modeling physician research participation |
title_sort | constructing within and between hospital physician social networks for modeling physician research participation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613378/ https://www.ncbi.nlm.nih.gov/pubmed/37898745 http://dx.doi.org/10.1186/s12874-023-02069-2 |
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