OBJECTIVES: This study examined the association between initial opioid exposure and subsequent long-term use in 2 national Veterans Administration (VA) cohorts from 2011 and 2016, a period during which opioid prescribing declined. DESIGN: Two methodologies were used to determine the relationship between initial exposure and subsequent long-term use. SETTING AND PARTICIPANTS: Incident opioid users during 2016 were identified using national VA administrative data. OUTCOME MEASURES: Relationships between days' supply, daily dose, and number of fills within the first 30 days and subsequent long-term opioid use were also examined. All analyses were repeated for an identically derived cohort during 2011. RESULTS: In 2016, 6.2% (method 1: Deyo replication) or 16.8% (method 2: Shah replication) of incident opioid users progressed to long-term opioid use. In 2011, 14.3% (method 1) or 29.2% (method 2) of incident users progressed to long-term use. Cumulative days' supply emerged as the strongest predictor in a multivariable model of long-term opioid use, which occurred in 1.5% of patients dispensed 7 days' supply or less and in 27.7% of patients dispensed greater than 30 days' supply. Results were similar in the 2011 cohort. Although the relationship between days' supply of incident opioid exposure and long-term opioid use remained consistent over time (in both 2011 and 2016), the overall rate of becoming a long-term opioid user decreased over time across levels of initial exposure. CONCLUSION: The findings confirm existing literature demonstrating a strong relationship between initial opioid exposure and future likelihood for long-term use. This valuable prognostic information could potentially be leveraged for intervention, including pharmacist-based approaches to prevent progression to long-term opioid use when it is unintended or clinically inappropriate.
OBJECTIVES: This study examined the association between initial opioid exposure and subsequent long-term use in 2 national Veterans Administration (VA) cohorts from 2011 and 2016, a period during which opioid prescribing declined. DESIGN: Two methodologies were used to determine the relationship between initial exposure and subsequent long-term use. SETTING AND PARTICIPANTS: Incident opioid users during 2016 were identified using national VA administrative data. OUTCOME MEASURES: Relationships between days' supply, daily dose, and number of fills within the first 30 days and subsequent long-term opioid use were also examined. All analyses were repeated for an identically derived cohort during 2011. RESULTS: In 2016, 6.2% (method 1: Deyo replication) or 16.8% (method 2: Shah replication) of incident opioid users progressed to long-term opioid use. In 2011, 14.3% (method 1) or 29.2% (method 2) of incident users progressed to long-term use. Cumulative days' supply emerged as the strongest predictor in a multivariable model of long-term opioid use, which occurred in 1.5% of patients dispensed 7 days' supply or less and in 27.7% of patients dispensed greater than 30 days' supply. Results were similar in the 2011 cohort. Although the relationship between days' supply of incident opioid exposure and long-term opioid use remained consistent over time (in both 2011 and 2016), the overall rate of becoming a long-term opioid user decreased over time across levels of initial exposure. CONCLUSION: The findings confirm existing literature demonstrating a strong relationship between initial opioid exposure and future likelihood for long-term use. This valuable prognostic information could potentially be leveraged for intervention, including pharmacist-based approaches to prevent progression to long-term opioid use when it is unintended or clinically inappropriate.
Authors: Scott G Weiner; Shih-Chuan Chou; Cindy Y Chang; Chad Garner; Sanae El Ibrahimi; Sara Hallvik; Michelle Hendricks; Olesya Baker Journal: Pain Med Date: 2020-12-25 Impact factor: 3.750
Authors: Alexis Vien; Grace Shyh; Deanna Jannat-Khah; Stephanie Chen; Xiao Kuang; Linda M Gerber; Jennifer I Lee Journal: J Gen Intern Med Date: 2021-01-19 Impact factor: 5.128
Authors: Katherine Hadlandsmyth; Hilary J Mosher; Mark W Vander Weg; Amy M O'Shea; Kimberly D McCoy; Brian C Lund Journal: Pharmacol Res Perspect Date: 2020-04
Authors: Courtney N Maierhofer; Shabbar I Ranapurwala; Bethany L DiPrete; Naoko Fulcher; Christopher L Ringwalt; Paul R Chelminski; Timothy J Ives; Nabarun Dasgupta; Vivian F Go; Brian W Pence Journal: Pain Med Date: 2021-12-11 Impact factor: 3.637