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Additional file 1: Appendix Table 1. Health conditions and behaviors in US military veterans by past-year use of VA health care: NHIS, 2019.

Amid worsening opioid overdose death rates, the nation continues to face a persistent addiction treatment gap limiting access to quality care for opioid use disorder (OUD). Three FDA-approved medications (methadone, buprenorphine, and extended-release naltrexone) have high quality evidence demonstrating reductions in drug use and overdose events, but most individuals with OUD do not receive them. The development of a unified public health framework, such as a Cascade of Care, could improve system level practice and treatment outcomes. In response to feedback from many stakeholders over the past year, we have expanded upon the OUD treatment cascade, first published in 2017, with additional attention to prevention stages and both individual-level and population-based services to better inform efforts at the state and federal level. The proposed cascade framework has attracted considerable interest from federal agencies including the Centers for Disease Control and Prevention (CDC) and National Institute on Drug Abuse (NIDA) along with policy-makers nationwide. We have reviewed recent literature and evidence-based interventions related to prevention, identification, and treatment of individuals with OUD and modeled updated figures from the 2016 National Survey on Drug Use and Health. Many currently employed interventions (prescriber guidelines, prescription monitoring programs, naloxone rescue) address prevention of OUD or downstream complications but not treatment of the underlying disorder itself. An OUD Cascade of Care framework could help structure local and national efforts to combat the opioid epidemic by identifying key targets, interventions, and quality indicators across populations and settings to achieve these ends. Improved data collection and reporting methodology will be imperative.

ObjectivesTo determine patterns of and trends in contributions to central nervous system (CNS) polypharmacy, defined by the Beers Criteria as three or more CNS-active medications of each medication class, of adults aged 65 and older seen in U.S. outpatient medical practices.DesignNational Ambulatory Medical Care Survey (2004-2013).SettingU.S. outpatient medical care.ParticipantsVisits by older adults to outpatient physicians (N = 97,910).MeasurementsVisits including three or more CNS medications including antipsychotics, benzodiazepines, nonbenzodiazepine benzodiazepine receptor agonist hypnotics (NBRAs), tricyclic antidepressants (TCAs), selective serotonin reuptake inhibitors (SSRIs), and opioids. The proportion of CNS polypharmacy that each medication class contributed during 2011 to 2013 was determined, and then logistic regression was used to determine trends from 2004 to 2013 in the contribution of individual medication classes to such polypharmacy.ResultsOf recent CNS polypharmacy visits, 76.2% included an opioid, and 61.8% included a benzodiazepine; 66.0% of the polypharmacy visits with benzodiazepines included opioids, and 53.3% of the polypharmacy visits with opioids included benzodiazepines. Between 2011 and 2013, opioid and benzodiazepine co-prescribing occurred at approximately 1.50 million visits (95% confidence interval (CI) = 1.23-1.78 million) annually. From 2004 (reference) to 2013, the proportion of polypharmacy visits with opioids rose from 69.6% to 76.2% (adjusted odds ratio = 2.15, 95% CI = 1.19-3.91, P = .01), and the corresponding proportion that included benzodiazepines fell. Of the polypharmacy visits, the odds of SSRI, NBRA, and antipsychotic use were unchanged, and that of TCAs decreased.ConclusionIn older adults, opioid use appears to be largely driving the recent national increase in CNS polypharmacy. Although concomitant use of opioids and benzodiazepines is associated with greater mortality, they are the most common contributors to CNS polypharmacy in older adults.

Similar to serologically confirmed undetectable HIV viral load, continuous abstinence from opioids can be objectively monitored with routine toxicology and serve as a biomarker for a primary outcome. Patients abstinent from opioids and on maintenance treatment with buprenorphine, methadone, or injectable naltrexone are at minimal risk for opioid overdose. Applying quality metrics informed by the Cascade of Care to treatment of opioid use disorder holds great promise to help ensure optimal returns on federal funding for areas hardest hit by overdose. Treatment programs with historically low use of MAT in the face of the worsening epidemic need compelling incentives to change practice. Identifying which patients struggle at which stages of the Cascade to help target clinical and policy interventions can help STR funding achieve its greatest impact. While the scale of the opioid crisis presents states and policymakers with a daunting and urgent task, adapting the Cascade of Care model to fit today’s crisis will help expedite and scale the programs needed to combat this epidemic.

ObjectivesTo establish the rate of new and continuation of benzodiazepine use in older adults seen by nonpsychiatrist physicians and to identify subpopulations at risk of new and continuation benzodiazepine use.DesignCross-sectional analysis.SettingNational Ambulatory Medical Care Survey (2007-10).ParticipantsAdults visiting office-based nonpsychiatrist physicians (n = 98,818) who were prescribed a benzodiazepine (new or continuation).MeasurementsPercentage of benzodiazepine visits of all outpatient encounters according to patient age and corresponding annual visit rate per 1,000 population. Analysis was then limited to adults aged 65 and older, demographic, clinical, and visits characteristics were used to compare visits of benzodiazepine users with those of nonusers and visits of continuation users with those of new users.ResultsThe overall proportion of benzodiazepine visits ranged from 3.2% (95% confidence interval (CI) = 2.7-3.7) of those aged 18 to 34 to 6.6% (95% CI = 5.8-7.6) of those aged 80 and older, and the proportion of continuation visits increased with age, rising to 90.2% (95% CI = 86.2-93.1) of those aged 80 and older. The population-based visit rate ranged from 61.7 (95% CI = 50.7-72.7) per 1,000 persons in the youngest adults to 463.7 (95% CI = 385.4-542.0) in those aged 80 and older. Only 16.0% (95% CI = 13.5-18.8) of continuation users had any mental health diagnosis. Of all benzodiazepine users, fewer than 1% (95% CI = .4-1.8) were provided or referred to psychotherapy, and 10.0% (95% CI = 7. 2-13.3) were also prescribed an opioid.ConclusionIn the United States, few older adult benzodiazepine users receive a clinical mental health diagnosis, and almost none are provided or referred to psychotherapy. Prescribing to older adults continues despite decades of evidence documenting safety concerns, effective alternative treatments, and effective methods for tapering even chronic users.

We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Tennessee Medicaid enrollees aged 6–24 years. Diabetes was identified from diabetes-related medical care encounters: hospitalizations, outpatient visits, and filled prescriptions. The definition required either a primary inpatient diagnosis or at least two other encounters of different types, most commonly an outpatient diagnosis with a prescription. Type 1 diabetes was defined by insulin prescriptions with at most one oral hypoglycemic prescription; other cases were considered type 2 diabetes. The definition was validated for cohort members in the 15 county region geographically proximate to the investigators. Medical records were reviewed and adjudicated for cases that met the automated database definition as well as for a sample of persons with other diabetes-related medical care encounters. The study included 64 cases that met the automated database definition. Records were adjudicated for 46 (71.9%), of which 41 (89.1%) met clinical criteria for newly diagnosed diabetes. The positive predictive value for type 1 diabetes was 80.0%. For type 2 and unspecified diabetes combined, the positive predictive value was 83.9%. The estimated sensitivity of the definition, based on adjudication for a sample of 30 cases not meeting the automated database definition, was 64.8%. These results suggest that the automated database case definition for diabetes may be useful for pharmacoepidemiologic studies of medications and diabetes.