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The COVID-19 pandemic has been associated with increased opioid prescribing. It is not known if perceived COVID-19 related stress is associated with increased odds of long-term opioid use.To determine if greater COVID-19-related stress and worsening pain attributed to the pandemic was associated with LTOT over a 6-month observation period.Longitudinal cohort.Patients (n=477) from two midwestern health care systems, with any acute or chronic non-cancer pain, starting a new period of 30-90-day prescription opioid use, were invited to participate in the Prescription Opioids and Depression Pathways Cohort Study, a longitudinal survey study of pain, opioid use, and mental health outcomes.Baseline and 6-month follow-up assessments were used to measure the association between perceived COVID-19 stressors, the perception that pain was made worse by the pandemic and the odds of persistent opioid use, i.e., remaining a prescription opioid user at 6-month follow-up. Multivariate models controlled for demographics, opioid dose, and change in pain characteristics, mental health measures, and social support.Participants were, on average, 53.9 (±11.4) years of age, 67.1% White race, and 70.9% female. The most frequently endorsed COVID-19 stressor was "worry about health of self/others" (85.7% endorsed) and the least endorsed was "worsened pain due to pandemic" (26.2%). After adjusting for all covariates, "worsened pain due to pandemic" (OR=2.88; 95%CI: 1.33-6.22), change in pain interference (OR=1.20; 95%CI: 1.04-1.38), and change in vital exhaustion (OR=0.90; 95%CI: 0.82-0.99) remained significantly associated with persistent opioid use.Patients who attribute worsening pain to the COVID-19 pandemic are more likely to be persistent opioid users. Further research is warranted to identify mechanisms underlying this association. Clinicians may consider discussing pain in the context of the pandemic to identify patients at high risk for persistent opioid use.

Inappropriate polypharmacy, prevalent among older patients, is associated with substantial harms.To develop measures of high-risk polypharmacy and pilot test novel electronic health record (EHR)-based nudges grounded in behavioral science to promote deprescribing.We developed and validated seven measures, then conducted a three-arm pilot from February to May 2019.Validation used data from 78,880 patients from a single large health system. Six physicians were pre-pilot test environment users. Sixty-nine physicians participated in the pilot.Rate of high-risk polypharmacy among patients aged 65 years or older. High-risk polypharmacy was defined as being prescribed ≥5 medications and satisfying ≥1 of the following high-risk criteria: drugs that increase fall risk among patients with fall history; drug-drug interactions that increase fall risk; thiazolidinedione, NSAID, or non-dihydropyridine calcium channel blocker in heart failure; and glyburide, glimepiride, or NSAID in chronic kidney disease.Physicians received EHR alerts when renewing or prescribing certain high-risk medications when criteria were met. One practice received a "commitment nudge" that offered a chance to commit to addressing high-risk polypharmacy at the next visit. One practice received a "justification nudge" that asked for a reason when high-risk polypharmacy was present. One practice received both.Among 55,107 patients 65 and older prescribed 5 or more medications, 6256 (7.9%) had one or more high-risk criteria. During the pilot, the mean (SD) number of nudges per physician per week was 1.7 (0.4) for commitment, 0.8 (0.5) for justification, and 1.9 (0.5) for both interventions. Physicians requested to be reminded to address high-risk polypharmacy for 236/833 (28.3%) of the commitment nudges and acknowledged 441 of 460 (95.9%) of justification nudges, providing a text response for 187 (40.7%).EHR-based measures and nudges addressing high-risk polypharmacy were feasible to develop and implement, and warrant further testing.

To report chronic opioid therapy discontinuation rates after five years and identify factors associated with discontinuation.Medical and pharmacy claims records from January 2000 through December 2005 from a national private health network (HealthCore), and Arkansas (AR) Medicaid were used to identify ambulatory adult enrollees who had 90 days of opioids supplied. Recipients were followed until they discontinued opioid prescription fills or disenrolled. Kaplan Meier survival models and Cox proportional hazards models were estimated to identify factors associated with time until opioid discontinuation.There were 23,419 and 6,848 chronic opioid recipients followed for a mean of 1.9 and 2.3 years in the HealthCore and AR Medicaid samples. Over a maximum follow up of 4.8 years, 67.0% of HealthCore and 64.9% AR Medicaid recipients remained on opioids. Recipients on high daily opioid dose (greater than 120 milligrams morphine equivalent (MED)) were less likely to discontinue than recipients taking lower doses: HealthCore hazard ratio (HR) = 0.66 (95%CI: 0.57-0.76), AR Medicaid HR = 0.66 (95%CI: 0.50-0.82). Recipients with possible opioid misuse were also less likely to discontinue: HealthCore HR = 0.83 (95%CI: 0.78-0.89), AR Medicaid HR = 0.78 (95%CI: 0.67-0.90).Over half of persons receiving 90 days of continuous opioid therapy remain on opioids years later. Factors most strongly associated with continuation were intermittent prior opioid exposure, daily opioid dose ≥ 120 mg MED, and possible opioid misuse. Since high dose and opioid misuse have been shown to increase the risk of adverse outcomes special caution is warranted when prescribing more than 90 days of opioid therapy in these patients.