Background Medication nonadherence is a common problem among the elderly. Objective To conduct a systematic review of the published literature describing potential non-financial barriers to medication adherence among the elderly. Methods The PubMed and PsychINFO databases were searched for articles published in English between January 1998 and January 2010 that described “predictors,” “facilitators,” or “determinants” of medication adherence and those articles that examined the “relationship” between a specific barrier and adherence for elderly patients (ie, age ≥ 65 years) in the United States (U.S.). A manual search of the reference lists of identified articles and the authors’ files and recent review articles was conducted. The search included articles that (1) reviewed specific barriers to medication adherence and did not solely describe nonmodifiable predictors of adherence (eg, demographics, marital status); (2) were not interventions designed to address adherence; (3) defined adherence or compliance and specified its method of measurement; (4) involved U.S. participants only. Non-systematic reviews were excluded, as were studies that focused specifically on people who were homeless or substance abusers, or patients with psychotic disorders, tuberculosis, or Human Immunodeficiency Virus (HIV), because of the unique circumstances that surround medication adherence for each of these populations. Results Nine studies met inclusion criteria for this review. Four studies used pharmacy records/claims data to assess adherence, 2 studies used pill count/electronic monitoring, and 3 studies used other methods to assess adherence. Substantial heterogeneity existed among the populations studied as well as among the measures of adherence, barriers addressed, and significant findings. Some potential barriers (ie, factors associated with nonadherence) were identified from the studies, including patient-related factors such as disease-related knowledge, health literacy, and cognitive function, drug-related factors such as adverse effects and polypharmacy, and other factors including the patient-provider relationship and various logistical barriers to obtaining medications. None of the reviewed studies examined primary nonadherence or nonpersistence. Conclusion Medication nonadherence in the elderly is not well described in the literature, despite being a major cause of morbidity, and thus it is difficult to draw a systematic conclusion on potential barriers based on the current literature. Future research should focus on standardizing medication adherence measurements among the elderly in order to gain a better understanding of this important issue.

This analysis provides evidence that depression is associated with poor adherence to medication across a range of chronic diseases, and we find a new potential effect of adherence measurement type on this relationship. Although this study cannot assess causality, it supports the importance that must be placed on depression in studies that assess adherence and attempt to improve it.

Objective To evaluate whether early initiation of prophylactic anticoagulation compared with no anticoagulation was associated with decreased risk of death among patients admitted to hospital with coronavirus disease 2019 (covid-19) in the United States. Design Observational cohort study. Setting Nationwide cohort of patients receiving care in the Department of Veterans Affairs, a large integrated national healthcare system. Participants All 4297 patients admitted to hospital from 1 March to 31 July 2020 with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and without a history of anticoagulation. Main outcome measures The main outcome was 30 day mortality. Secondary outcomes were inpatient mortality, initiating therapeutic anticoagulation (a proxy for clinical deterioration, including thromboembolic events), and bleeding that required transfusion. Results Of 4297 patients admitted to hospital with covid-19, 3627 (84.4%) received prophylactic anticoagulation within 24 hours of admission. More than 99% (n=3600) of treated patients received subcutaneous heparin or enoxaparin. 622 deaths occurred within 30 days of hospital admission, 513 among those who received prophylactic anticoagulation. Most deaths (510/622, 82%) occurred during hospital stay. Using inverse probability of treatment weighted analyses, the cumulative incidence of mortality at 30 days was 14.3% (95% confidence interval 13.1% to 15.5%) among those who received prophylactic anticoagulation and 18.7% (15.1% to 22.9%) among those who did not. Compared with patients who did not receive prophylactic anticoagulation, those who did had a 27% decreased risk for 30 day mortality (hazard ratio 0.73, 95% confidence interval 0.66 to 0.81). Similar associations were found for inpatient mortality and initiation of therapeutic anticoagulation. Receipt of prophylactic anticoagulation was not associated with increased risk of bleeding that required transfusion (hazard ratio 0.87, 0.71 to 1.05). Quantitative bias analysis showed that results were robust to unmeasured confounding (e-value lower 95% confidence interval 1.77 for 30 day mortality). Results persisted in several sensitivity analyses. Conclusions Early initiation of prophylactic anticoagulation compared with no anticoagulation among patients admitted to hospital with covid-19 was associated with a decreased risk of 30 day mortality and no increased risk of serious bleeding events. These findings provide strong real world evidence to support guidelines recommending the use of prophylactic anticoagulation as initial treatment for patients with covid-19 on hospital admission.

Key Points Question Can machine-learning approaches predict opioid overdose risk among fee-for-service Medicare beneficiaries? Findings In this prognostic study of the administrative claims data of 560 057 Medicare beneficiaries, the deep neural network and gradient boosting machine models outperformed other methods for identifying risk, although positive predictive values were low given the low prevalence of overdose episodes. Meaning Machine-learning algorithms using administrative data appear to be a valuable and feasible tool for more accurate identification of opioid overdose risk.

Agency for Healthcare Research and Quality and RAND Corporation.

IMPORTANCE Most studies that have examined drug prices have focused on list prices, without accounting for manufacturer rebates and other discounts, which have substantially increased in the last decade. OBJECTIVE To describe changes in list prices, net prices, and discounts for branded pharmaceutical products for which US sales are reported by publicly traded companies, and to determine the extent to which list price increases were offset by increases in discounts. DESIGN, SETTING, AND PARTICIPANTS Retrospective descriptive study using 2007-2018 pricing data from the investment firm SSR Health for branded products available before January 2007 with US sales reported by publicly traded companies (n = 602 drugs). Net prices were estimated by compiling company-reported sales for each product and number of units sold in the US. EXPOSURES Calendar year. MAIN OUTCOMES AND MEASURES Outcomes included list and net prices and discounts in Medicaid and other payers. List prices represent manufacturers' price to wholesalers or direct purchasers but do not account for discounts. Net prices represent revenue per unit of the product after all manufacturer concessions are accounted for (including rebates, coupon cards, and any other discount). Means of outcomes were calculated each year for the overall sample and 6 therapeutic classes, weighting each product by utilization and adjusting for inflation. RESULTS From 2007 to 2018, list prices increased by 159% (95% CI, 137%-181%), or 9.1% per year, while net prices increased by 60% (95% CI, 36%-84%), or 4.5% per year, with stable net prices between 2015 and 2018. Discounts increased from 40% to 76% in Medicaid and from 23% to 51% for other payers. Increases in discounts offset 62% of list price increases. There was large variability across classes. Multiple sclerosis treatments (n = 4) had the greatest increases in list (439%) and net (157%) prices. List prices of lipid-lowering agents (n = 11) increased by 278% and net prices by 95%. List prices of tumor necrosis factor inhibitors (n = 3) increased by 166% and net prices by 73%. List prices of insulins (n = 7) increased by 262%, and net prices by 51%. List prices of noninsulin antidiabetic agents (n = 10) increased by 165%, and net prices decreased by 1%. List price increases were lowest (59%) for antineoplastic agents (n = 44), but discounts only offset 41% of list price increases, leading to 35% increase in net prices. CONCLUSIONS AND RELEVANCE In this analysis of branded drugs in the US from 2007 to 2018, mean increases in list and net prices were substantial, although discounts offset an estimated 62% of list price increases with substantial variation across classes.

BaCKgRoUND aND aIMS:Despite the significant medical and economic consequences of coexisting alcohol use disorder (AUD) in patients with cirrhosis, little is known about AUD treatment patterns and their impact on clinical outcomes in this population. We aimed to characterize the use of and outcomes associated with AUD treatment in patients with cirrhosis. appRoaCH aND ReSUltS: This retrospective cohort study included Veterans with cirrhosis who received Veterans Health Administration care and had an index diagnosis of AUD between 2011 and 2015. We assessed the baseline factors associated with AUD treatment (pharmacotherapy or behavioral therapy) and clinical outcomes for 180 days following the first AUD diagnosis code within the study time frame. Among 93,612 Veterans with cirrhosis, we identified 35,682 with AUD, after excluding 2,671 who had prior diagnoses of AUD and recent treatment. Over 180 days following the index diagnosis of AUD, 5,088 (14%) received AUD treatment, including 4,461 (12%) who received behavioral therapy alone, 159 (0.4%) who received pharmacotherapy alone, and 468 (1%) who received both behavioral therapy and pharmacotherapy. In adjusted analyses, behavioral and/or pharmacotherapy-based AUD treatment was associated with a significant reduction in incident hepatic decompensation (6.5% vs. 11.6%, adjusted odds ratio [AOR], 0.63; 95% confidence interval [CI], 0.52, 0.76), a nonsignificant decrease in short-term all-cause mortality (2.6% vs. 3.9%, AOR, 0.79; 95% CI, 0.57, 1.08), and a significant decrease in long-term all-cause mortality (51% vs. 58%, AOR, 0.87; 95% CI, 0.80, 0.96).CoNClUSIoNS: Most Veterans with cirrhosis and coexisting AUD did not receive behavioral therapy or pharmacotherapy treatment for AUD over a 6-month follow-up. The reductions in hepatic decompensation and mortality suggest that future studies should focus on delivering evidence-based AUD treatments to patients with coexisting AUD and cirrhosis.

Racial/ethnic disparities in medication nonadherence exist among seniors, and are related to cost concerns, and not to differences in experiences or self-assessed need. Considering the importance of medication adherence in controlling chronic diseases, affordability of prescriptions should be explicitly addressed to reduce racial/ethnic disparities.