Emergency use authorization medication distribution, utilization, and monitoring in a national integrated healthcare system.

PURPOSE: The purpose of this project was to develop and optimize a dashboard and registry to manage the distribution, utilization, and monitoring of coronavirus disease 2019 (COVID-19) emergency use-authorized medications (CEUAMs). SUMMARY: CEUAMs have specific requirements that must be met for prescribing, monitoring, and compliance. When remdesivir, the first COVID-19 medication with emergency use authorization (EUA), was approved, it immediately became necessary for the Veterans Health Administration, a national integrated health system, to describe the requirements for EUA, to distribute the medication in a fair and equitable manner, and to ensure compliance with all EUA requirements. A dashboard was developed and iteratively updated as additional CEUAMs were approved. The dashboard tracked CEUAM distribution and monitoring at the national, regional, facility, and patient level. Par stock levels were initially determined at the national level. Facilities were also able to request an additional allotment of medication based on demand and allocated supplies from the Department of Health and Human Services. Providers completed a questionnaire for the CEUAM for each patient to ensure all requirements for the medication were met. If there were data integrity concerns, the entry was flagged for review at the facility level and, upon evaluation, corrections were made. CONCLUSION: Development of the dashboard was resource intensive but provided an excellent mechanism to share information among facilities and national offices. Other healthcare systems can develop similar dashboards to ensure appropriate use of CEUAMs for their patients while meeting all CEUAM requirements.

Outpatient treatment and clinical outcomes of bacteriuria in veterans: A retrospective cohort analysis.

Objective: To conduct a contemporary detailed assessment of outpatient antibiotic prescribing and outcomes for positive urine cultures in a mixed-sex cohort. Design: Multicenter retrospective cohort review. Setting: The study was conducted using data from 31 Veterans' Affairs medical centers. Patients: Outpatient adults with positive urine cultures. Methods: From 2016 to 2019, data were extracted through a nationwide database and manual chart review. Positive urine cultures were reviewed at the chart, clinician, and aggregate levels. Cases were classified as cystitis, pyelonephritis, or asymptomatic bacteriuria (ASB) based upon documented signs and symptoms. Preferred therapy definitions were applied for subdiagnoses: ASB (no antibiotics), cystitis (trimethoprim-sulfamethoxazole, nitrofurantoin, ß-lactams), and pyelonephritis (trimethoprim-sulfamethoxazole, fluoroquinolone). Outcomes included 30-day clinical failure or hospitalization. Odds ratios for outcomes between treatments were estimated using logistic regression. Results: Of 3,255 cases reviewed, ASB was identified in 1,628 cases (50%), cystitis was identified in 1,156 cases (36%), and pyelonephritis was identified in 471 cases (15%). Of all 2,831 cases, 1,298 (46%) received preferred therapy selection and duration for cases where it could be defined. The most common antibiotic class prescribed was a fluoroquinolone (34%). Patients prescribed preferred therapy had lower odds of clinical failure: preferred (8%) versus nonpreferred (10%) (unadjusted OR, 0.74; 95% confidence interval [CI], 0.58-0.95; P = .018). They also had lower odds of 30-day hospitalization: preferred therapy (3%) versus nonpreferred therapy (5%) (unadjusted OR, 0.55; 95% CI, 0.37-0.81; P = .002). Odds of clinical treatment failure or hospitalization was higher for ß-lactams relative to ciprofloxacin (unadjusted OR, 1.89; 95% CI, 1.23-2.90; P = .002). Conclusions: Clinicians prescribed preferred therapy 46% of the time. Those prescribed preferred therapy had lower odds of clinical failure and of being hospitalized.

Medication Use Evaluation of High-Dose Long-Term Opioid De-prescribing in Multiple Veterans Affairs Medical Centers.

BACKGROUND: The Opioid Safety Initiative (OSI) was implemented in 2013 to enhance the safe and appropriate use of opioids in the Veterans Health Administration (VA). Opioid use decreased nationally in subsequent years, but characterization of opioid de-prescribing practices has not been well established. OBJECTIVES: To describe changes in patient characteristics and patterns of de-prescribing since OSI implementation for opioid users at > 90 morphine equivalent daily dose for at least 90 days for those that discontinued opioids within the VA. DESIGN: Retrospective observational pre-post intervention medication use evaluation using VA data and electronic health records to identify differences in opioid de-prescribing between fiscal year 2013 (FY13; early OSI) and FY17 (late OSI). Reviewers' insights for local opioid management and de-prescribing practices collected through web-based post-data collection survey. PARTICIPANTS: Veterans prescribed high-dose long-term opioid therapy in FY13 and FY17 who subsequently discontinued opioids at 27 VA medical centers. MAIN MEASURES: Chart review data from local facility reviewers identified socioeconomic characteristics, opioid de-prescribing rationale (e.g., risk-benefit, diversion) and practices (e.g., rate of opioid discontinuation, taper monitoring activities, withdrawal monitoring), and outcomes following discontinuation. KEY RESULTS: Among 315 patients in FY13 and 322 patients in FY17 with opioid discontinuation, discontinuation rationale focused on diversion in FY13 and risk-benefit in FY17. Clinical pharmacists and pain management specialists had increased involvement in FY17 opioid discontinuations (36% versus 16%). Of all discontinuations, 56% of patients were tapered in FY13 versus 70% of patients in FY17. Tapering plans were longer in FY17 than in FY13 (163 days versus 65 days). Transitions to non-opioid pain therapy following opioid discontinuation were higher in FY17 compared to FY13 (70% versus 60%). CONCLUSIONS: Veterans discontinued from high-dose long-term opioids in FY17 were more optimally managed compared to those in FY13. Findings suggest improvements in opioid de-prescribing following OSI implementation, but interpretation is limited by study design.

Latent Class Analysis of Prescribing Behavior of Primary Care Physicians in the Veterans Health Administration.

BACKGROUND: Benzodiazepines, opioids, proton-pump inhibitors (PPIs), and antibiotics are frequently prescribed inappropriately by primary care physicians (PCPs), without sufficient consideration of alternative options or adverse effects. We hypothesized that distinct groups of PCPs could be identified based on their propensity to prescribe these medications. OBJECTIVE: To identify PCP groups based on their propensity to prescribe benzodiazepines, opioids, PPIs, and antibiotics, and patient and PCP characteristics associated with identified prescribing patterns. DESIGN: Retrospective cohort study using VA data and latent class regression analyses to identify prescribing patterns among PCPs and examine the association of patient and PCP characteristics with class membership. PARTICIPANTS: A total of 2524 full-time PCPs and their patient panels (n = 2,939,636 patients), from January 1, 2017, to December 31, 2018. MAIN MEASURES: We categorized PCPs based on prescribing volume quartiles for the four drug classes, based on total days' supply dispensed of each medication by the PCP to their patients (expressed as days' supply per 1000 panel patient-days). We used latent class analysis to group PCPs based on prescribing and used multinomial logistic regression to examine patient and PCP characteristics associated with latent class membership. KEY RESULTS: PCPs were categorized into four groups (latent classes): low intensity (23% of cohort), medium-intensity overall/high-intensity PPI (36%), medium-intensity overall/high-intensity opioid (20%), and high intensity (21%). PCPs in the high-intensity group were predominantly in the highest quartile of prescribers for all four drugs (68% in the highest quartile for benzodiazepine, 86% opioids, 64% PPIs, 62% antibiotics). High-intensity PCPs (vs. low intensity) were substantially less likely to be female (OR: 0.30, 95% CI: 0.21-0.42) or practice in the northeast versus other census regions (OR: 0.10, 95% CI: 0.06-0.17). CONCLUSIONS: VA PCPs can be classified into four clearly differentiated groups based on their prescribing of benzodiazepines, opioids, PPIs, and antibiotics, suggesting an underlying typology of prescribing. High-intensity PCPs were more likely to be male.

Surveillance of adverse drug events associated with tocilizumab in hospitalized veterans with coronavirus disease 2019 (COVID-19) to inform patient safety and pandemic preparedness.

We evaluated adverse drug events (ADEs) by chart review in a random national sample of 428 veterans with coronavirus disease 2019 (COVID-19) who received tocilizumab (n = 173 of 428). ADEs (median time, 5 days) occurred in 51 of 173 (29%) and included hepatoxicity (n = 29) and infection (n = 13). Concomitant medication discontinuation occurred in 22% of ADE patients; mortality was 39%.