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The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients

BACKGROUND: Literature has shown that chronic pain patients prescribed opioids are at an increased risk for experiencing drug-drug interactions as a result of polypharmacy. In addition, chronic, noncancer pain patients who experience drug-drug interactions have been shown to have greater health care...

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Autores principales: Pergolizzi, Joseph V., Ma, Larry, Foster, David R., Overholser, Brian R., Sowinski, Kevin M., Jr., Robert Taylor, Summers, Kent H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Managed Care Pharmacy 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438289/
https://www.ncbi.nlm.nih.gov/pubmed/24761818
http://dx.doi.org/10.18553/jmcp.2014.20.5.467
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author Pergolizzi, Joseph V.
Ma, Larry
Foster, David R.
Overholser, Brian R.
Sowinski, Kevin M.
Jr., Robert Taylor
Summers, Kent H.
author_facet Pergolizzi, Joseph V.
Ma, Larry
Foster, David R.
Overholser, Brian R.
Sowinski, Kevin M.
Jr., Robert Taylor
Summers, Kent H.
author_sort Pergolizzi, Joseph V.
collection PubMed
description BACKGROUND: Literature has shown that chronic pain patients prescribed opioids are at an increased risk for experiencing drug-drug interactions as a result of polypharmacy. In addition, chronic, noncancer pain patients who experience drug-drug interactions have been shown to have greater health care utilization and costs. However, no study has focused on the health economics of major clinically significant drug-drug interactions associated with long-acting opioids. OBJECTIVES: To (a) estimate the prevalence of major drug-drug interactions among patients prescribed a long-acting opioid and (b) evaluate the potential impact of major drug-drug interactions on health care costs. METHODS: This study was a retrospective cohort analysis using claims data from the MarketScan Commercial Claims and Encounter Database between 2008 and 2010. Patients with at least 1 prescription for a long-acting opioid for ≥ 30 days were placed into cohorts according to the expected clinical impact of the potential drug-drug interaction: major versus none. Propensity score matching was used to mitigate differences in baseline characteristics between the cohorts. Health care costs were based on payments for all covered health care services, which consisted of inpatient and outpatient medical, emergency department, and outpatient prescription costs. RESULTS: Among 57,752 chronic, noncancer pain patients who met all inclusion and exclusion criteria, 5.7% (3,302) were exposed to a potential major drug-drug interaction. The costs associated with a potential interaction versus no potential interaction were significantly more after baseline characteristics of the cohorts were normalized by propensity score matching. Monthly health care costs in the 90-day post-index period were significantly greater ($3,366 vs. $2,757, a $609 difference) in patients exposed to a potential drug-drug interaction of major clinical significance, compared with those not exposed to a drug-drug interaction. The higher health care costs were mainly driven by outpatient and inpatient medical costs. CONCLUSIONS: Exposure to potential drug-drug interactions may result in unnecessary and unintended health care costs. Physicians should be made aware of commonly administered cytochrome P450 (CYP450) metabolized drugs in the chronic pain patient and consider prescribing non-CYP450 metabolized opioid and nonopioid analgesics. Managed care’s use of utilization management tools to avoid these exposures may reduce costs.
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spelling pubmed-104382892023-08-21 The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients Pergolizzi, Joseph V. Ma, Larry Foster, David R. Overholser, Brian R. Sowinski, Kevin M. Jr., Robert Taylor Summers, Kent H. J Manag Care Pharm Research BACKGROUND: Literature has shown that chronic pain patients prescribed opioids are at an increased risk for experiencing drug-drug interactions as a result of polypharmacy. In addition, chronic, noncancer pain patients who experience drug-drug interactions have been shown to have greater health care utilization and costs. However, no study has focused on the health economics of major clinically significant drug-drug interactions associated with long-acting opioids. OBJECTIVES: To (a) estimate the prevalence of major drug-drug interactions among patients prescribed a long-acting opioid and (b) evaluate the potential impact of major drug-drug interactions on health care costs. METHODS: This study was a retrospective cohort analysis using claims data from the MarketScan Commercial Claims and Encounter Database between 2008 and 2010. Patients with at least 1 prescription for a long-acting opioid for ≥ 30 days were placed into cohorts according to the expected clinical impact of the potential drug-drug interaction: major versus none. Propensity score matching was used to mitigate differences in baseline characteristics between the cohorts. Health care costs were based on payments for all covered health care services, which consisted of inpatient and outpatient medical, emergency department, and outpatient prescription costs. RESULTS: Among 57,752 chronic, noncancer pain patients who met all inclusion and exclusion criteria, 5.7% (3,302) were exposed to a potential major drug-drug interaction. The costs associated with a potential interaction versus no potential interaction were significantly more after baseline characteristics of the cohorts were normalized by propensity score matching. Monthly health care costs in the 90-day post-index period were significantly greater ($3,366 vs. $2,757, a $609 difference) in patients exposed to a potential drug-drug interaction of major clinical significance, compared with those not exposed to a drug-drug interaction. The higher health care costs were mainly driven by outpatient and inpatient medical costs. CONCLUSIONS: Exposure to potential drug-drug interactions may result in unnecessary and unintended health care costs. Physicians should be made aware of commonly administered cytochrome P450 (CYP450) metabolized drugs in the chronic pain patient and consider prescribing non-CYP450 metabolized opioid and nonopioid analgesics. Managed care’s use of utilization management tools to avoid these exposures may reduce costs. Academy of Managed Care Pharmacy 2014-05 /pmc/articles/PMC10438289/ /pubmed/24761818 http://dx.doi.org/10.18553/jmcp.2014.20.5.467 Text en Copyright © 2014, Academy of Managed Care Pharmacy. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research
Pergolizzi, Joseph V.
Ma, Larry
Foster, David R.
Overholser, Brian R.
Sowinski, Kevin M.
Jr., Robert Taylor
Summers, Kent H.
The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients
title The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients
title_full The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients
title_fullStr The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients
title_full_unstemmed The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients
title_short The Prevalence of Opioid-Related Major Potential Drug-Drug Interactions and Their Impact on Health Care Costs in Chronic Pain Patients
title_sort prevalence of opioid-related major potential drug-drug interactions and their impact on health care costs in chronic pain patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10438289/
https://www.ncbi.nlm.nih.gov/pubmed/24761818
http://dx.doi.org/10.18553/jmcp.2014.20.5.467
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