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3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data

OBJECTIVES/SPECIFIC AIMS: Opioids are the first-line treatment for moderate to severe cancer-related pain. Increased awareness of opioid prescription misuse and adverse outcomes has prompted statements on their use from multiple national medical groups. In this study we characterize national-level o...

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Autores principales: Samuel, David, Miller, Devin, Isani, Sara, Kuo, Dennis, Gressel, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798998/
http://dx.doi.org/10.1017/cts.2019.74
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author Samuel, David
Miller, Devin
Isani, Sara
Kuo, Dennis
Gressel, Gregory
author_facet Samuel, David
Miller, Devin
Isani, Sara
Kuo, Dennis
Gressel, Gregory
author_sort Samuel, David
collection PubMed
description OBJECTIVES/SPECIFIC AIMS: Opioids are the first-line treatment for moderate to severe cancer-related pain. Increased awareness of opioid prescription misuse and adverse outcomes has prompted statements on their use from multiple national medical groups. In this study we characterize national-level opioid prescription patterns among gynecologic oncologists treating Medicare beneficiaries. METHODS/STUDY POPULATION: The Centers for Medicare and Medicaid Services (CMS) database was used to access Medicare Part D beneficiary data (2016). All available opioid claims prescribed by gynecologic oncologists were identified. Medication type, prescription length and other prescribing factors were recorded. Physician demographics were obtained from departmental websites and accrediting bodies. Physicians with <10 opioid claims are not included in the CMS database. Bivariate statistical analysis including chi-squared, Fisher’s exact test and Wilcoxon rank-sum test were performed to compare variables with threshold for significance set at p<0.05. Linear regression modeling was also performed to examine association of gender with number of opioids prescribed. RESULTS/ANTICIPATED RESULTS: A total of 494 board-certified gynecologic oncologists were included in this analysis. In 2016, gynecologic oncologists wrote 23,584 opioid prescriptions for 267,824 days of treatment (average of 9.24 prescribed days per claim). The most commonly prescribed opioid was oxycodone/acetaminophen (41%). Male physicians had significantly more opioid prescription claims than females (p<0.01) including after adjusting for differences in years of experience. The majority of physicians had 11-50 opioid prescription claims (68%). A minority were high prescribing physicians with >100 opioid claims (11%). Of these, the overwhelming majority were male (82%) and late career (46%, >15 years since board certification). Physicians in the South had the greatest number of opioid prescription claims and significantly more than physicians in the Northeast, who had the fewest (p<0.01). Mean number of opioid claims increased with increasing years of experience (p<0.05). DISCUSSION/SIGNIFICANCE OF IMPACT: Among gynecologic oncologists, there were gender-based, regional and experience-related variations in opioid prescribing in the Medicare population in 2016. Further longitudinal studies are required to elucidate secular trends in opioid prescription practice.
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spelling pubmed-67989982019-10-28 3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data Samuel, David Miller, Devin Isani, Sara Kuo, Dennis Gressel, Gregory J Clin Transl Sci Clinical Epidemiology/Clinical Trial OBJECTIVES/SPECIFIC AIMS: Opioids are the first-line treatment for moderate to severe cancer-related pain. Increased awareness of opioid prescription misuse and adverse outcomes has prompted statements on their use from multiple national medical groups. In this study we characterize national-level opioid prescription patterns among gynecologic oncologists treating Medicare beneficiaries. METHODS/STUDY POPULATION: The Centers for Medicare and Medicaid Services (CMS) database was used to access Medicare Part D beneficiary data (2016). All available opioid claims prescribed by gynecologic oncologists were identified. Medication type, prescription length and other prescribing factors were recorded. Physician demographics were obtained from departmental websites and accrediting bodies. Physicians with <10 opioid claims are not included in the CMS database. Bivariate statistical analysis including chi-squared, Fisher’s exact test and Wilcoxon rank-sum test were performed to compare variables with threshold for significance set at p<0.05. Linear regression modeling was also performed to examine association of gender with number of opioids prescribed. RESULTS/ANTICIPATED RESULTS: A total of 494 board-certified gynecologic oncologists were included in this analysis. In 2016, gynecologic oncologists wrote 23,584 opioid prescriptions for 267,824 days of treatment (average of 9.24 prescribed days per claim). The most commonly prescribed opioid was oxycodone/acetaminophen (41%). Male physicians had significantly more opioid prescription claims than females (p<0.01) including after adjusting for differences in years of experience. The majority of physicians had 11-50 opioid prescription claims (68%). A minority were high prescribing physicians with >100 opioid claims (11%). Of these, the overwhelming majority were male (82%) and late career (46%, >15 years since board certification). Physicians in the South had the greatest number of opioid prescription claims and significantly more than physicians in the Northeast, who had the fewest (p<0.01). Mean number of opioid claims increased with increasing years of experience (p<0.05). DISCUSSION/SIGNIFICANCE OF IMPACT: Among gynecologic oncologists, there were gender-based, regional and experience-related variations in opioid prescribing in the Medicare population in 2016. Further longitudinal studies are required to elucidate secular trends in opioid prescription practice. Cambridge University Press 2019-03-27 /pmc/articles/PMC6798998/ http://dx.doi.org/10.1017/cts.2019.74 Text en © The Association for Clinical and Translational Science 2019 http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
spellingShingle Clinical Epidemiology/Clinical Trial
Samuel, David
Miller, Devin
Isani, Sara
Kuo, Dennis
Gressel, Gregory
3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data
title 3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data
title_full 3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data
title_fullStr 3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data
title_full_unstemmed 3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data
title_short 3377 A cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using Medicare fee-for service provider utilization & payment data
title_sort 3377 a cross-sectional analysis of opioid prescribing patterns among gynecologic oncologists using medicare fee-for service provider utilization & payment data
topic Clinical Epidemiology/Clinical Trial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798998/
http://dx.doi.org/10.1017/cts.2019.74
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