Chronic High Risk Prescription Opioid Use Among Persons With HIV
Persons with HIV (PWH) are a population at risk for adverse sequelae of opioid use. Yet, few studies have examined correlates of chronic high risk opioid use and its impact on HIV outcomes. Trends in prescribing patterns and identification of factors that impact the use of opioid prescriptions among...
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Published in | Frontiers in sociology Vol. 6; p. 645992 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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18.05.2021
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Abstract | Persons with HIV (PWH) are a population at risk for adverse sequelae of opioid use. Yet, few studies have examined correlates of chronic high risk opioid use and its impact on HIV outcomes. Trends in prescribing patterns and identification of factors that impact the use of opioid prescriptions among PWH are crucial to determine prevention and treatment interventions. This study examined electronic medical records (EMR) of patients receiving HIV care to characterize prescribing patterns and identify risk factors for chronic high risk prescription opioid use and the impact on HIV outcomes among PWH in primary care from July 1, 2016–December 31, 2017. EMR were analyzed from 8,882 patients who were predominantly male and ethnically and racially diverse with half being 50 years of age or older. The majority of the 8,744 prescriptions (98% oral and 2% transdermal preparations) given to 1,040 (12%) patients were oxycodone (71%), 8% were morphine, 7% tramadol, 4% hydrocodone, 4% codeine, 2% fentanyl, and 4% were other opioids. The number of monthly prescriptions decreased about 14% during the study period. Bivariate analyses indicated that most demographic and clinical variables were associated with receipt of any opioid prescription. After controlling for patient socio-demographic characteristics and clinical factors, the odds of receipt of any prescription were higher among patients with pain diagnoses and opioid use and mental health disorders. In addition, the odds of receipt of high average daily morphine equivalent dose (MED) prescriptions were higher for patients with pain diagnoses. Lastly, patients with substance use disorders (SUD) had an increased likelihood of detectable viral load compared to patients with no SUD, after adjusting for known covariates. Our findings show that despite opioid prescribing guidelines and monitoring systems, additional efforts are needed to prevent chronic high risk prescriptions in patients with comorbid conditions, including pain-related, mental health and substance use disorders. Evidence about the risk for chronic high risk use based on prescribing patterns could better inform pain management and opioid prescribing practices for patients receiving HIV care. |
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AbstractList | Persons with HIV (PWH) are a population at risk for adverse sequelae of opioid use. Yet, few studies have examined correlates of chronic high risk opioid use and its impact on HIV outcomes. Trends in prescribing patterns and identification of factors that impact the use of opioid prescriptions among PWH are crucial to determine prevention and treatment interventions. This study examined electronic medical records (EMR) of patients receiving HIV care to characterize prescribing patterns and identify risk factors for chronic high risk prescription opioid use and the impact on HIV outcomes among PWH in primary care from July 1, 2016–December 31, 2017. EMR were analyzed from 8,882 patients who were predominantly male and ethnically and racially diverse with half being 50 years of age or older. The majority of the 8,744 prescriptions (98% oral and 2% transdermal preparations) given to 1,040 (12%) patients were oxycodone (71%), 8% were morphine, 7% tramadol, 4% hydrocodone, 4% codeine, 2% fentanyl, and 4% were other opioids. The number of monthly prescriptions decreased about 14% during the study period. Bivariate analyses indicated that most demographic and clinical variables were associated with receipt of any opioid prescription. After controlling for patient socio-demographic characteristics and clinical factors, the odds of receipt of any prescription were higher among patients with pain diagnoses and opioid use and mental health disorders. In addition, the odds of receipt of high average daily morphine equivalent dose (MED) prescriptions were higher for patients with pain diagnoses. Lastly, patients with substance use disorders (SUD) had an increased likelihood of detectable viral load compared to patients with no SUD, after adjusting for known covariates. Our findings show that despite opioid prescribing guidelines and monitoring systems, additional efforts are needed to prevent chronic high risk prescriptions in patients with comorbid conditions, including pain-related, mental health and substance use disorders. Evidence about the risk for chronic high risk use based on prescribing patterns could better inform pain management and opioid prescribing practices for patients receiving HIV care. |
Author | Tarar, Shafaq Langenbach, Blanche Gates, Jay Ventuneac, Ana Hecht, Gavriella Perlman, David C. Rendina, H. Jonathon Duah, Bianca A. Aberg, Judith A. Cain, Demetria Forcht, Emily |
AuthorAffiliation | 2 Department of Psychology, Hunter College, City University of New York, NY , NY , United States 3 Health Psychology and Clinical Science PhD Program, The Graduate Center, City University of New York, NY , NY , United States 1 Icahn School of Medicine at Mount Sinai, Division of Infectious Diseases, NY , NY , United States |
AuthorAffiliation_xml | – name: 1 Icahn School of Medicine at Mount Sinai, Division of Infectious Diseases, NY , NY , United States – name: 3 Health Psychology and Clinical Science PhD Program, The Graduate Center, City University of New York, NY , NY , United States – name: 2 Department of Psychology, Hunter College, City University of New York, NY , NY , United States |
Author_xml | – sequence: 1 givenname: Ana surname: Ventuneac fullname: Ventuneac, Ana – sequence: 2 givenname: Gavriella surname: Hecht fullname: Hecht, Gavriella – sequence: 3 givenname: Emily surname: Forcht fullname: Forcht, Emily – sequence: 4 givenname: Bianca A. surname: Duah fullname: Duah, Bianca A. – sequence: 5 givenname: Shafaq surname: Tarar fullname: Tarar, Shafaq – sequence: 6 givenname: Blanche surname: Langenbach fullname: Langenbach, Blanche – sequence: 7 givenname: Jay surname: Gates fullname: Gates, Jay – sequence: 8 givenname: Demetria surname: Cain fullname: Cain, Demetria – sequence: 9 givenname: H. Jonathon surname: Rendina fullname: Rendina, H. Jonathon – sequence: 10 givenname: Judith A. surname: Aberg fullname: Aberg, Judith A. – sequence: 11 givenname: David C. surname: Perlman fullname: Perlman, David C. |
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CitedBy_id | crossref_primary_10_1016_j_eimce_2021_11_007 crossref_primary_10_1097_ADM_0000000000001268 crossref_primary_10_1007_s40675_022_00236_3 crossref_primary_10_2217_pmt_2023_0079 crossref_primary_10_1016_j_crneur_2023_100108 crossref_primary_10_3390_v14040669 crossref_primary_10_1038_s41380_024_02620_7 crossref_primary_10_1016_j_eimc_2021_11_009 crossref_primary_10_1016_j_peptides_2023_171004 |
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Copyright | Copyright © 2021 Ventuneac, Hecht, Forcht, Duah, Tarar, Langenbach, Gates, Cain, Rendina, Aberg and Perlman. 2021 Ventuneac, Hecht, Forcht, Duah, Tarar, Langenbach, Gates, Cain, Rendina, Aberg and Perlman |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Ashwani Kumar Mishra, All India Institute of Medical Sciences, India This article was submitted to Public Mental Health, a section of the journal Frontiers in Sociology Zeinab Abbas, Lebanese International University, Lebanon Reviewed by: Brandy F. Henry, Columbia University, United States |
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