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Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study
BACKGROUND: Since 2016, the combination of sacubitril/valsartan, which combines an angiotensin receptor and neprilysin inhibitor (ARNI), has been recommended in the guidelines for the treatment of heart failure. The adoption of new drugs may be influenced by collaboration and exchange between physic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401102/ https://www.ncbi.nlm.nih.gov/pubmed/34454547 http://dx.doi.org/10.1186/s13012-021-01150-y |
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author | Arnold, Christine Koetsenruijter, Jan Forstner, Johanna Peters-Klimm, Frank Wensing, Michel |
author_facet | Arnold, Christine Koetsenruijter, Jan Forstner, Johanna Peters-Klimm, Frank Wensing, Michel |
author_sort | Arnold, Christine |
collection | PubMed |
description | BACKGROUND: Since 2016, the combination of sacubitril/valsartan, which combines an angiotensin receptor and neprilysin inhibitor (ARNI), has been recommended in the guidelines for the treatment of heart failure. The adoption of new drugs may be influenced by collaboration and exchange between physicians. We aimed to determine whether characteristics of the professional networks of prescribing physicians were associated with the prescribing of ARNI in Germany. METHODS: We conducted a longitudinal analysis based on claims data in 2016–2018 in Germany. The characteristics of ambulatory care physicians’ networks were determined in the analysis of the patient-sharing networks of physicians in 2017. Binary logistic regression analysis with the outcome ‘prescribes ARNI in 2018’ (present or absent) was carried out, using network characteristics as predictors, adjusted for specialty and sociodemographic characteristics of physicians. RESULTS: The network analysis included 8370 physicians, who had 144,636 connections. Prescribers had more connections to other physicians compared to non-prescribers (median 31 vs. 23). Regression analysis showed that the numbers of linkages to prescribers of ARNI were positively associated with prescribing ARNI. For 6–10 connections, the average marginal effect (AME) was 0.04 (confidence interval [CI] 95% 0.01–0.06) and for > 10 links the AME 0.07 (CI 95% 0.05–0.10) compared to 0–5 connections to prescriber. CONCLUSION: Physicians who shared patients with many other physicians were more likely to prescribe ARNI, independent of physicians’ specialty. This suggested that collaboration and exchange on the basis of patient-sharing with other physicians influenced their medication prescribing decisions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-021-01150-y. |
format | Online Article Text |
id | pubmed-8401102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84011022021-08-30 Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study Arnold, Christine Koetsenruijter, Jan Forstner, Johanna Peters-Klimm, Frank Wensing, Michel Implement Sci Research BACKGROUND: Since 2016, the combination of sacubitril/valsartan, which combines an angiotensin receptor and neprilysin inhibitor (ARNI), has been recommended in the guidelines for the treatment of heart failure. The adoption of new drugs may be influenced by collaboration and exchange between physicians. We aimed to determine whether characteristics of the professional networks of prescribing physicians were associated with the prescribing of ARNI in Germany. METHODS: We conducted a longitudinal analysis based on claims data in 2016–2018 in Germany. The characteristics of ambulatory care physicians’ networks were determined in the analysis of the patient-sharing networks of physicians in 2017. Binary logistic regression analysis with the outcome ‘prescribes ARNI in 2018’ (present or absent) was carried out, using network characteristics as predictors, adjusted for specialty and sociodemographic characteristics of physicians. RESULTS: The network analysis included 8370 physicians, who had 144,636 connections. Prescribers had more connections to other physicians compared to non-prescribers (median 31 vs. 23). Regression analysis showed that the numbers of linkages to prescribers of ARNI were positively associated with prescribing ARNI. For 6–10 connections, the average marginal effect (AME) was 0.04 (confidence interval [CI] 95% 0.01–0.06) and for > 10 links the AME 0.07 (CI 95% 0.05–0.10) compared to 0–5 connections to prescriber. CONCLUSION: Physicians who shared patients with many other physicians were more likely to prescribe ARNI, independent of physicians’ specialty. This suggested that collaboration and exchange on the basis of patient-sharing with other physicians influenced their medication prescribing decisions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-021-01150-y. BioMed Central 2021-08-28 /pmc/articles/PMC8401102/ /pubmed/34454547 http://dx.doi.org/10.1186/s13012-021-01150-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Arnold, Christine Koetsenruijter, Jan Forstner, Johanna Peters-Klimm, Frank Wensing, Michel Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
title | Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
title_full | Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
title_fullStr | Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
title_full_unstemmed | Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
title_short | Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
title_sort | influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401102/ https://www.ncbi.nlm.nih.gov/pubmed/34454547 http://dx.doi.org/10.1186/s13012-021-01150-y |
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