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Co-prescription network reveals social dynamics of opioid doctor shopping

This paper examines network prominence in a co-prescription network as an indicator of opioid doctor shopping (i.e., fraudulent solicitation of opioids from multiple prescribers). Using longitudinal data from a large commercially insured population, we construct a network where a tie between patient...

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Autores principales: Perry, Brea L., Yang, Kai Cheng, Kaminski, Patrick, Odabas, Meltem, Park, Jaehyuk, Martel, Michelle, Oser, Carrie B., Freeman, Patricia R., Ahn, Yong-Yeol, Talbert, Jeffery
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814254/
https://www.ncbi.nlm.nih.gov/pubmed/31652266
http://dx.doi.org/10.1371/journal.pone.0223849
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author Perry, Brea L.
Yang, Kai Cheng
Kaminski, Patrick
Odabas, Meltem
Park, Jaehyuk
Martel, Michelle
Oser, Carrie B.
Freeman, Patricia R.
Ahn, Yong-Yeol
Talbert, Jeffery
author_facet Perry, Brea L.
Yang, Kai Cheng
Kaminski, Patrick
Odabas, Meltem
Park, Jaehyuk
Martel, Michelle
Oser, Carrie B.
Freeman, Patricia R.
Ahn, Yong-Yeol
Talbert, Jeffery
author_sort Perry, Brea L.
collection PubMed
description This paper examines network prominence in a co-prescription network as an indicator of opioid doctor shopping (i.e., fraudulent solicitation of opioids from multiple prescribers). Using longitudinal data from a large commercially insured population, we construct a network where a tie between patients is weighted by the number of shared opioid prescribers. Given prior research suggesting that doctor shopping may be a social process, we hypothesize that active doctor shoppers will occupy central structural positions in this network. We show that network prominence, operationalized using PageRank, is associated with more opioid prescriptions, higher predicted risk for dangerous morphine dosage, opioid overdose, and opioid use disorder, controlling for number of prescribers and other variables. Moreover, as a patient’s prominence increases over time, so does their risk for these outcomes, compared to their own average level of risk. Results highlight the importance of co-prescription networks in characterizing high-risk social dynamics.
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spelling pubmed-68142542019-11-03 Co-prescription network reveals social dynamics of opioid doctor shopping Perry, Brea L. Yang, Kai Cheng Kaminski, Patrick Odabas, Meltem Park, Jaehyuk Martel, Michelle Oser, Carrie B. Freeman, Patricia R. Ahn, Yong-Yeol Talbert, Jeffery PLoS One Research Article This paper examines network prominence in a co-prescription network as an indicator of opioid doctor shopping (i.e., fraudulent solicitation of opioids from multiple prescribers). Using longitudinal data from a large commercially insured population, we construct a network where a tie between patients is weighted by the number of shared opioid prescribers. Given prior research suggesting that doctor shopping may be a social process, we hypothesize that active doctor shoppers will occupy central structural positions in this network. We show that network prominence, operationalized using PageRank, is associated with more opioid prescriptions, higher predicted risk for dangerous morphine dosage, opioid overdose, and opioid use disorder, controlling for number of prescribers and other variables. Moreover, as a patient’s prominence increases over time, so does their risk for these outcomes, compared to their own average level of risk. Results highlight the importance of co-prescription networks in characterizing high-risk social dynamics. Public Library of Science 2019-10-25 /pmc/articles/PMC6814254/ /pubmed/31652266 http://dx.doi.org/10.1371/journal.pone.0223849 Text en © 2019 Perry 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Perry, Brea L.
Yang, Kai Cheng
Kaminski, Patrick
Odabas, Meltem
Park, Jaehyuk
Martel, Michelle
Oser, Carrie B.
Freeman, Patricia R.
Ahn, Yong-Yeol
Talbert, Jeffery
Co-prescription network reveals social dynamics of opioid doctor shopping
title Co-prescription network reveals social dynamics of opioid doctor shopping
title_full Co-prescription network reveals social dynamics of opioid doctor shopping
title_fullStr Co-prescription network reveals social dynamics of opioid doctor shopping
title_full_unstemmed Co-prescription network reveals social dynamics of opioid doctor shopping
title_short Co-prescription network reveals social dynamics of opioid doctor shopping
title_sort co-prescription network reveals social dynamics of opioid doctor shopping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814254/
https://www.ncbi.nlm.nih.gov/pubmed/31652266
http://dx.doi.org/10.1371/journal.pone.0223849
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