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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6814254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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