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01-10-2018 | Editorial

Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy

Author: William C. Becker, MD

Published in: Journal of General Internal Medicine | Issue 10/2018

Excerpt

Glanz et al. took on a very ambitious and important project—developing and validating a prediction model for opioid overdose among patients on long-term opioid therapy (LTOT)—and conducted a rigorous study that offers provocative results.1 Without question, the study and its findings should be considered foundational for any future efforts aiming to refine a clinically actionable prediction model. However, whether the study’s findings on their own should drive changes in treatment recommendations and policy, particularly with regard to naloxone distribution, is less clear. …

Glanz J, Narwaney K, Mueller S, Gardner E, Calcaterra S, Xu S, et al. Prediction Model for Two Year Risk of Opioid Overdose among Patients Prescribed Chronic Opioid Therapy. JGIM 2018. https://doi.org/10.1007/s11606-017-4288-3

Gupta R, Shah ND, Ross JS. The rising price of naloxone—risks to efforts to stem overdose deaths. N Engl J Med 2016;375(23):2213–5.CrossRefPubMed

Spelman JF, Peglow S, Schwartz AR, Burgo-Black L, McNamara K, Becker WC. Group visits for overdose education and naloxone distribution in primary care: A pilot quality improvement initiative. Pain Med 2017;18(12):2325–30.CrossRefPubMed

Mosher H, Richardson K, Lund B. The One Year Treatment Course New Opioid Users in Veterans Health Administration. Pain Med 2016.

Bohnert ASB, Valenstein M, Bair MJ, Ganoczy D, McCarthy JF, Ilgen MA, et al. Association Between Opioid Prescribing Patterns and Opioid Overdose-Related Deaths. JAMA 305(13):1315–21. https://doi.org/10.1001/jama.2011.370 CrossRefPubMed

Title: Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy
Author: William C. Becker, MD
Publication date: 01-10-2018
Publisher: Springer US
Published in: Journal of General Internal Medicine / Issue 10/2018
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI: https://doi.org/10.1007/s11606-018-4472-0

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