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Predictors of loss due to pharmaceutical fraud: evidence from the U.S.
BACKGROUND: Globally and in the U.S. in particular, pharmaceutical fraud account for a large number out of all crimes in health care, which result into severe costs to the society. The Academy of Managed Care Pharmacists (Fraud, waste, and abuse in prescription drug benefits. 2019. Posted May 20. ht...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841051/ https://www.ncbi.nlm.nih.gov/pubmed/35151315 http://dx.doi.org/10.1186/s12962-022-00337-4 |
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author | Timofeyev, Yuriy Hayes, Susan A. Jakovljevic, Mihajlo B. |
author_facet | Timofeyev, Yuriy Hayes, Susan A. Jakovljevic, Mihajlo B. |
author_sort | Timofeyev, Yuriy |
collection | PubMed |
description | BACKGROUND: Globally and in the U.S. in particular, pharmaceutical fraud account for a large number out of all crimes in health care, which result into severe costs to the society. The Academy of Managed Care Pharmacists (Fraud, waste, and abuse in prescription drug benefits. 2019. Posted May 20. https://www.amcp.org/policy-advocacy/policy-advocacy-focus-areas/where-we-stand-position-statements/fraud-waste-and-abuse-prescription-drug-benefits.) estimate that pharmacy fraud is 1% of costs, therefore estimating that pharmacy fraud costs at $3.5 billion, given that pharmacy costs are $358 billion (Statista. Prescription drug expenditure in the United States from 1960 to 2020. 2021. https://www.statista.com/statistics/184914/prescription-drug-expenditures-in-the-us-since-1960/). AIM: This exploratory study aims to demonstrate a fraudster’s profile as well as to estimate average consequences in terms of costs and identify the loss predictors’ hierarchy in the pharmaceutical industry in the U.S. MATERIALS AND METHODS: Data from the Corporate Prosecution Registry and mixed-effects models are utilized for this purpose. The dataset covers years 2001–2020 and 75 cases, falling into one of the following broad sub-categories: misbranding, counterfeit, off-label use of drugs/deceptive marketing; violation of the Food, Drug and Cosmetic Act. RESULTS: The main factors positively associated with loss due to pharmaceutical fraud are: (i) duration of , and (ii) the scheme and scheme being executed at a U.S. public company. Surprisingly, presence of collusion negatively and significantly effects the cost. Potential factors include: (a) principal perpetrator being a white American and/or male, and (b) number of employees at individual and organizational level respectively. CONCLUSION: This study empirically justifies considering loss, due to pharmaceutical fraud, from a multi-level perspective. Identified profiles of a typical fraudster helped to elaborate on specific practical recommendations aimed at pharmaceutical fraud prevention in the U.S. |
format | Online Article Text |
id | pubmed-8841051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88410512022-02-16 Predictors of loss due to pharmaceutical fraud: evidence from the U.S. Timofeyev, Yuriy Hayes, Susan A. Jakovljevic, Mihajlo B. Cost Eff Resour Alloc Research BACKGROUND: Globally and in the U.S. in particular, pharmaceutical fraud account for a large number out of all crimes in health care, which result into severe costs to the society. The Academy of Managed Care Pharmacists (Fraud, waste, and abuse in prescription drug benefits. 2019. Posted May 20. https://www.amcp.org/policy-advocacy/policy-advocacy-focus-areas/where-we-stand-position-statements/fraud-waste-and-abuse-prescription-drug-benefits.) estimate that pharmacy fraud is 1% of costs, therefore estimating that pharmacy fraud costs at $3.5 billion, given that pharmacy costs are $358 billion (Statista. Prescription drug expenditure in the United States from 1960 to 2020. 2021. https://www.statista.com/statistics/184914/prescription-drug-expenditures-in-the-us-since-1960/). AIM: This exploratory study aims to demonstrate a fraudster’s profile as well as to estimate average consequences in terms of costs and identify the loss predictors’ hierarchy in the pharmaceutical industry in the U.S. MATERIALS AND METHODS: Data from the Corporate Prosecution Registry and mixed-effects models are utilized for this purpose. The dataset covers years 2001–2020 and 75 cases, falling into one of the following broad sub-categories: misbranding, counterfeit, off-label use of drugs/deceptive marketing; violation of the Food, Drug and Cosmetic Act. RESULTS: The main factors positively associated with loss due to pharmaceutical fraud are: (i) duration of , and (ii) the scheme and scheme being executed at a U.S. public company. Surprisingly, presence of collusion negatively and significantly effects the cost. Potential factors include: (a) principal perpetrator being a white American and/or male, and (b) number of employees at individual and organizational level respectively. CONCLUSION: This study empirically justifies considering loss, due to pharmaceutical fraud, from a multi-level perspective. Identified profiles of a typical fraudster helped to elaborate on specific practical recommendations aimed at pharmaceutical fraud prevention in the U.S. BioMed Central 2022-02-12 /pmc/articles/PMC8841051/ /pubmed/35151315 http://dx.doi.org/10.1186/s12962-022-00337-4 Text en © The Author(s) 2022 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 Timofeyev, Yuriy Hayes, Susan A. Jakovljevic, Mihajlo B. Predictors of loss due to pharmaceutical fraud: evidence from the U.S. |
title | Predictors of loss due to pharmaceutical fraud: evidence from the U.S. |
title_full | Predictors of loss due to pharmaceutical fraud: evidence from the U.S. |
title_fullStr | Predictors of loss due to pharmaceutical fraud: evidence from the U.S. |
title_full_unstemmed | Predictors of loss due to pharmaceutical fraud: evidence from the U.S. |
title_short | Predictors of loss due to pharmaceutical fraud: evidence from the U.S. |
title_sort | predictors of loss due to pharmaceutical fraud: evidence from the u.s. |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841051/ https://www.ncbi.nlm.nih.gov/pubmed/35151315 http://dx.doi.org/10.1186/s12962-022-00337-4 |
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