Background: Limiting the incidence of opioid-naïve patients who transition to long-term opioid use (i.e., continual use for > 90 days) is a key strategy for reducing opioid-related harms.
Objective: To identify variables constructed from data routinely collected by prescription drug monitoring programs that are associated with opioid-naïve patients' likelihood of transitioning to long-term use after an initial opioid prescription.
Design: Statewide cohort study using prescription drug monitoring program data PARTICIPANTS: All opioid-naïve patients in California (no opioid prescriptions within the prior 2 years) age ≥ 12 years prescribed an initial oral opioid analgesic from 2010 to 2017.
Methods And Main Measures: Multiple logistic regression models using variables constructed from prescription drug monitoring program data through the day of each patient's initial opioid prescription, and, alternatively, data available up to 30 and 60 days after the initial prescription were constructed to identify probability of transition to long-term use. Model fit was determined by the area under the receiver operating characteristic curve (C-statistic).
Key Results: Among 30,569,125 episodes of patients receiving new opioid prescriptions, 1,809,750 (5.9%) resulted in long-term use. Variables with the highest adjusted odds ratios included concurrent benzodiazepine use, ≥ 2 unique prescribers, and receipt of non-pill, non-liquid formulations. C-statistics for the day 0, day 30, and day 60 models were 0.81, 0.88, and 0.94, respectively. Models assessing opioid dose using the number of pills prescribed had greater discriminative capacity than those using milligram morphine equivalents.
Conclusions: Data routinely collected by prescription drug monitoring programs can be used to identify patients who are likely to develop long-term use. Guidelines for new opioid prescriptions based on pill counts may be simpler and more clinically useful than guidelines based on days' supply or milligram morphine equivalents.
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http://dx.doi.org/10.1007/s11606-020-06555-x | DOI Listing |
Introduction: Effective antimicrobial stewardship programs require data on antimicrobial consumption (AMC) and utilization (AMU) to guide interventions. However, such data is often scarce in low-resource settings. We describe the consumption and utilization of antibiotics at a large tertiary-level hospital in Uganda.
View Article and Find Full Text PDFJ Addict Med
November 2024
From the Center for the Study of Drugs, Alcohol, Smoking, and Health, University of Michigan, Ann Arbor, MI (EP, RJE-P, TSS, CWE, VVM, SEM); Institute for Social Research, University of Michigan, Ann Arbor, MI (RJE-P, CWE, SEM); Department of Psychology, Texas State University, San Marcos, TX (TSS); Department of Psychiatry, University of Michigan, Ann Arbor, MI (VVM); and Lighthouse Institute at Chestnut Health Systems, Eugene, OR (TKD).
Objectives: Most US treatment and recovery services are abstinence-based. However, many people in recovery from an alcohol or other drug (AOD) use problem do not abstain completely. This study estimated the prevalence of and characteristics associated with nonabstinence among US adults in recovery.
View Article and Find Full Text PDFJAMA Health Forum
January 2025
Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.
Importance: The prevalence of pharmacies owned by integrated insurers and pharmacy benefit managers (PBMs), or insurer-PBMs, is of growing regulatory concern. However, little is known about the role of these pharmacies in Medicare, in which pharmacy network protections may influence market dynamics.
Objective: To evaluate the prevalence of insurer-PBM-owned pharmacies and the extent to which insurer-PBMs steer patients to pharmacies they own in Medicare.
JAMA Health Forum
January 2025
Department of Health Systems, Management, and Policy, University of Colorado Cancer Center, Aurora.
Importance: Medicare Advantage (MA) plans are designed to incentivize the use of less expensive drugs through capitated payments, formulary control, and preauthorizations for certain drugs. These conditions may reduce spending on high-cost therapies for conditions such as cancer, a condition that is among the most expensive to treat.
Objective: To determine whether patients insured by MA plans receive less high-cost drugs than those insured by traditional Medicare (TM).
Dialogues Clin Neurosci
December 2025
University Bordeaux, Inserm, Bordeaux Population Health Research Center, Team Pharmacoepidemiology, UMR 1219, Bordeaux, France.
Soon after the introduction of second-generation antipsychotics, antipsychotic off-label use (OLU) progressively became a common prescribing practice. This evolving practice should be regularly monitored considering the growing number of persons exposed to the adverse effects of antipsychotics. The aim of the present review was to synthesise the literature published over the last 15 years on antipsychotic OLU for mental health symptoms.
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