Impact of the COVID-19 pandemic on new starts to oral oncology medications in the US.

INTRODUCTION: The COVID-19 pandemic has had a significant impact on healthcare delivery. Although others have documented the impact on new cancer diagnoses, trends in new starts for oncology drugs are less clear. We examined changes in new users of oral oncology medications in the US following COVID-19 stay-at-home orders in 2020 compared to prior years. METHODS: We examined prescription data for members enrolled with a national pharmacy benefits manager in the US from January 1-October 31 of 2018, 2019, and/or 2020. This is a retrospective, observational study comparing new users per 100,000 members per month for all oral oncology drugs, and separately for breast, lung, and prostate cancer, leukemia, and melanoma oral drugs. We performed a difference-in-differences analysis for change in new users from pre-period (prior to pandemic-induced disruption, January-March), to post-period (following pandemic-induced disruption, April-October), between 2020 and 2019, and 2020 and 2018. RESULTS: New oral oncology drug users per 100,000 members per month declined by an additional 11.3% in the 2020 post-period compared to 2019 (p = 0.048). New oral breast cancer drug starts declined by an additional 14.0% in the 2020 post-period compared to 2019 (p = 0.040). Similar but non-significant trends were found between 2020 and 2018. No significant differences were found between post-period monthly new starts of leukemia, melanoma, lung or prostate cancer disease-specific oral medications. CONCLUSIONS: Long-term implications of delays in cancer treatment initiation are unclear, although there is concern that patient outcomes may be negatively impacted.

Trends in add-on medications following metformin monotherapy for type 2 diabetes.

BACKGROUND: Although metformin is generally universally recommended as a first-line pharmacologic therapy for most people living with type 2 diabetes, second-line and third-line choices can require a tailored approach to achieve optimal blood glucose and glycated hemoglobin levels. OBJECTIVE: To examine national trends in second- and third-line antihyperglycemic medications following metformin monotherapy, comparing 2015 and 2019. METHODS: This retrospective cohort analysis of deidentified pharmacy claims from a large national pharmacy benefits manager from January 1, 2015, to December 31, 2015, and again in January 1, 2019, to December 31, 2019, included adults (aged ≥ 18 years) continuously enrolled in commercial or Medicare insurance plans who filled an index metformin prescription in either year. Proportions of patients by second-line and third-line antihyperglycemic class were calculated. RESULTS: Second-line use of sulfonylureas (-10.1%; P < 0.001), combination drugs (-3.0%; P < 0.001), and dipeptidyl peptidase-4 inhibitors (-2.0%; P = 0.031) significantly declined, whereas second-line use of sodium-glucose cotransporter 2 inhibitors (SGLT2is) (+4.9%; P < 0.001) and glucagon-like peptide-1 receptor agonists (GLP-1Ras) (+10.0%; P < 0.001) significantly increased. Similarly, third-line use of sulfonylureas declined (-5.5%; P = 0.005), whereas third-line use of SGLT2is (+3.4%; P = 0.005) and GLP-1RAs (+8.3%; P < 0.001) increased. Similar trends between 2015 and 2019 were found in commercial and Medicare subgroups. Among all groups in 2015 compared with 2019, sulfonylureas were the most prescribed second-line class and insulins the most common third-line class. Although SGLT2i and GLP-1RA together represented more than one-third of second-line and third-line prescriptions for commercially insured patients in 2019 (34.3% and 35.0%, respectively), these classes were less frequently prescribed in the Medicare subgroup (18% and 25.6%, respectively). CONCLUSIONS: This report provides updated second-line and third-line antihyperglycemic medication prescribing trends in the United States, which suggests that evidence-based guidelines are being used in practice to prevent complications and individualize diabetes care. DISCLOSURES: Ms Swart and Drs Peasah and Good are employed by UPMC Health Plan. Dr Neilson was employed by UPMC Health Plan at the time of the study. Drs Munshi and Henderson were employed by Evernorth at the time of the study.

Twelve month oral contraceptive pill prescriptions: Role of policy mandates on utilization.

Recent studies have suggested that extended duration oral contraceptive pills (OCP), such as the 12-month duration, have a positive impact on pregnancy rates but negative impact on pill wastage. Several states have since been mandating health plans to offer extended duration OCP as an option for women. The objective of the study was to evaluate the impact of these mandates on utilization of extended duration OCPs. Using claims data of a large pharmacy benefit manager for commercially insured women from 2018 to 2019, use, adherence, continuity, and wastage of OCPs by women dispensed one-month only, three-months only, 6 or 12-months only, and other months (which includes other months and mixed duration OCP) was retrospectively analyzed. OCP dispensed by year, and adherence, continuity, wastage over a 15-month period were summarized using Chi square and ANOVA. There were 874,420 and 875,914 women in this study in 2018 and 2019 respectively. Of these, 34% were from states with the mandate (SWM). Most women filled the one-month and three-month duration, with very low overall 6 or 12-month duration claims. Proportion of utilizers of 6 or 12- month duration was higher in SWM than in those without, although differences in absolute rates were very low. Patients with OCP discontinuation, gaps ≥7 and 14 days, were fewer among those filling 6 or 12-month duration but conversely, wastage was higher in this group compared to those filling one or three-month duration. Our findings suggest that, among commercially insured women, extended duration OCP mandates have so far not had much influence on use of 6 or 12-month duration OCP prescriptions.

Real-World Use and Outcomes of Oral Antiplatelets Among Patients with Acute Coronary Syndrome: A Retrospective Cohort Study.

BACKGROUND: Acute coronary syndrome (ACS)-related readmission is an important hospital quality measure. Medication management therapy, especially adherence to antiplatelet agents post discharge, could play an important role in reducing readmission rates. Newer agents such as ticagrelor and prasugrel have been shown, in randomized control trials, to have superior effectiveness to cardiovascular outcomes compared to clopidogrel, but they are more expensive and have more common adverse events such as bleeding and dyspnea. OBJECTIVE: We compared real-world readmission rates and adherence to antiplatelet agents among patients who initiated these agents post discharge. METHODS: This was a retrospective cohortstudy of patients with an index ACS-related hospitalization between 1 July 2017 and 31 December 2018. Using integrated pharmacy and medical claims data from a large national pharmacy benefits manager for commercially insured adults aged ≥ 18 years, we compared ACS-related readmission and medication adherence (as medication possession ratio (MPR)) among the three agents. ANOVA and logistic regression, controlling for demographics such as age, gender, and Charlson Comorbidity Index, were used to estimate any association between the agents and 365-day readmission rates. RESULTS: Of the 948 eligible patients, 86, 342, and 520 were initiated on prasugrel, ticagrelor, and clopidogrel (PTC), respectively. There were 4.7%, 5.3%, and 8.5% readmissions rates in the PTC cohorts, respectively, but these were not statistically significant in either the ANOVA or the logistic regression analyses. MPR was highest in the ticagrelor (88.1%) cohort, followed by the prasugrel (79.1%) and clopidogrel (76.4%) cohorts. CONCLUSION: Ticagrelor cohort had the highest medication adherence. Clopidogrel cohort had the highest readmission rate but the difference with the other cohorts was statistically insignificant.

Changes in Type 2 Diabetes Medication Utilization and Costs in the United States, 2014-2019.

OBJECTIVE: The objective of this study was to describe national changes in utilization and associated costs of antidiabetic medications in the United States from 2014 to 2019, across different drug classes and insurance plans. RESEARCH DESIGN AND METHODS: This retrospective, cross-sectional study examined administrative claims from a large national pharmacy benefits manager from January 1, 2014, to December 31, 2019. Patients aged 18 years and above enrolled in commercial, Medicare, or Medicaid health plans who filled ≥1 prescription claim for an antidiabetic medication(s) during the 6-year period were included. Utilization was examined as the total number of 30-day adjusted prescription fills per user per month (PUPM). Gross costs were calculated as the sum of plan costs (net of rebates) and member out-of-pocket costs. Differences in mean utilization and costs PUPM between 2014 and 2019 for each medication class were calculated. RESULTS: The final analytic sample increased from 745,290 patients in 2014 to 1,596,006 in 2019. Antidiabetic medication utilization increased by 8.8% from 2014 to 2019, driven by increases in sodium-glucose cotransporter 2 inhibitor (48.7%; P<0.001), glucagon-like peptide 1 receptor agonist (11.8%; P<0.001), insulin (8.1%; P<0.001), and metformin (2.9%; P<0.05) utilization. Average costs PUPM rose 47.5% (P<0.001), from $126.52 in 2014 to $186.58 in 2019. Sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 receptor agonists, and combination drugs contributed significantly to these increased costs, with 6-year cost differences of 57.3%, 46.9%, and 47.2%, respectively (all P<0.001). CONCLUSION: Our study demonstrates a shift in antidiabetic medication class utilization from 2014 to 2019, where associated costs net of rebates significantly increased to a disproportionately greater extent than the significant increase in utilization PUPM.

Impact of a diabetes remote monitoring program on medication adherence.

BACKGROUND: Medication nonadherence in diabetes is well documented to be associated with inadequate glycemic control. Through remote blood glucose (BG) monitoring, unlimited test strip and lancet supplies, personal coaching, and online access to clinical information and educational resources, diabetes remote monitoring (DRM) programs may provide a solution. OBJECTIVE: To examine the relationship between patient participation in a DRM solution and adherence to oral antidiabetic drugs (OAD). METHODS: A retrospective, propensity score-matched cohort study was conducted using deidentified administrative claims data from a large pharmacy benefit manager. Commercially insured patients aged 18 years or older and having 2 or more 30-day adjusted OAD claims comprised the target sample. Patients enrolled in insurance plans that implemented DRM, who had at least 1 BG check (ever engaged) between April 1, 2015, and March 31, 2018 (exposure) were matched to patients enrolled in insurance plans that did not implement DRM (nonexposure). After a 1:2 matching on baseline demographics, disease burden proxy, total pharmacy out-of-pocket costs, previous adherence and insulin use, nonexposure group participants were assigned the same first BG check date as their matched DRM participants. Medication adherence measured as proportion of days covered (PDC) in the 365 days following first BG check was examined as a continuous and binary outcome measure (PDC > 80% or adherent vs < 80% or nonadherent). Multivariable linear and logistic regression were conducted to examine differential magnitude in adherence and likelihood of being adherent, respectively. RESULTS: The final sample consisted of 6,002 exposure and 12,004 nonexposure group patients. DRM participants who were ever engaged had a 4.5% higher adherence rate (P < 0.001) and 42% higher odds of being adherent (P < 0.001) in the period after engagement compared with non-DRM participants. Sensitivity analyses showed that patients engaged continuously (> 1 BG check per week) for 3, 6, and 12 months had 5.1%, 5.2%, and 6.4% higher adherence rates, respectively (P < 0.001), and 52%, 64%, and 98% higher odds of being adherent, respectively (P < 0.001), compared with non-DRM participants. CONCLUSIONS: The study findings offer evidence that DRM engagement is associated with higher odds of medication adherence. DRM solutions that provide access to glucose test results, personalized coaching, educational resources, and lower testing supply cost can also influence adherence. Our findings have important implications for payers and patients related to improved health outcomes due to higher medication adherence. DISCLOSURES: Funding for this study was provided by Express Scripts. Munshi, Amelung, Carter, and Henderson are employed by Express Scripts. James and Shah are employed by Livongo, which provided the DRM solution.

Health care utilization and costs associated with switching from DPP-4i to GLP-1RA or SGLT2i: an observational cohort study.

BACKGROUND: Because of improved clinical outcomes, recent American Diabetes Association guidelines recommend the use of newer antidiabetic agents-glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter 2 inhibitors (SGLT2i)-by those with cardiovascular disease. It is unclear, however, how switching to these newer agents affects health care utilization and costs. OBJECTIVE: To compare health care utilization and costs between users of dipeptidyl peptidase-4 inhibitors (DPP-4i) who switch to GLP-1RA or SGLT2i and nonswitchers. METHODS: We used claims data from a large pharmacy benefit manager. Patients included were commercially insured adults with type 2 diabetes and a prescription claim for DPP-4i in 2016 or 2017. Using propensity score methods, we matched patients who switched to SGLT2i or GLP-1RA with those who remained on DPP-4i. Among matched samples, we conducted multivariable negative binomial regression to examine differences in the incidence of inpatient and emergency room (ER) visits and generalized linear regression to examine differences in health care costs. RESULTS: Among 47,953 patients who used DPP-4i in 2016 and 2017, 507 switched to SGLT2i and 808 switched to GLP-1RA. Propensity score matching of 1:6 resulted in 3,042 nonswitchers/507 switchers for the SGLT2i cohort and 4,848 nonswitchers/808 switchers for the GLP-1RA cohort. Switchers to SGLT2i experienced a 39% reduction (incidence rate ratio [IRR] = 0.61, 95% CI = 0.38-0.96), and GLP-1RA switchers experienced a 29% reduction (IRR = 0.71, 95% CI = 0.52-0.97) in inpatient hospitalizations. ER visit rates did not differ significantly between switchers and nonswitchers. Switchers to SGLT2i did not have statistically significant differences in medical or pharmacy costs compared with DPP-4i users, while switchers to GLP-1RA had significantly higher total pharmacy costs (adjusted difference of $2,453.10, 95% CI = $1,837.20-$3,069.00). CONCLUSIONS: Switching from DPP-4i to GLP-1RA or SGLT2i was associated with fewer hospitalizations; however, higher pharmacy costs may outweigh savings from reduced hospitalizations, especially for GLP-1RAs. As newer diabetes guidelines steer specific populations to these drug classes, it is important to optimize drug pricing to realize their true value. DISCLOSURES: No outside funding supported this study. Neilson, Good, Swart, and Huang are employees of UPMC Center for Value-Based Pharmacy Initiatives and High-Value Care. Parekh reports employment at UPMC until July 2019. Munshi and Henderson are employed by Express Scripts. Newman has no disclosures to report.

Impact of Marijuana Legalization on Opioid Utilization in Patients Diagnosed with Pain.

BACKGROUND: Given efforts to reduce opioid use, and because marijuana potentially offers a lower-risk alternative for treating chronic pain, there is interest in understanding the public health impact of marijuana legalization on opioid-related outcomes. OBJECTIVE: Assess the impact of recreational and medical marijuana legalization on opioid utilization among patients receiving pharmacotherapy for pain. DESIGN: Retrospective claims-based study of commercially insured patients continuously eligible for pharmacy and medical benefits from July 8, 2014 to June 30, 2017. Index pain prescription period was defined between January 8, 2015 and June 30, 2015, and longer-term opioid use examined during 2-year follow-up. Marijuana state policy on July 1, 2015, was assigned: none; medical only; or medical and recreational. PARTICIPANTS: Patients aged 18-62 without cancer diagnosis. MAIN MEASURES: Patient receiving (1) opioid at index; (2) > 7 days' supply of index opioid; (3) opioid during follow-up; and (4) ≥ 90 days' opioid supply during follow-up. Multivariable regression assessed associations between opioid utilization and state marijuana policy, adjusting for age, gender, overall disease burden, mental health treatment, concomitant use of benzodiazepine or muscle relaxant, and previous pain prescription. KEY RESULTS: Of 141,711 patients, 80,955 (57.1%) resided in states with no policy; 56,494 (39.9%) with medical-only; and 4262 (3.0%) with medical and recreational. Patients in states with both policies were more likely to receive an index opioid (aOR = 1.72, 95% CI = 1.61-1.85; aOR = 1.90, 95% CI = 1.77-2.03; P < 0.001) but less likely to receive > 7 days' index supply (aOR = 0.84, 95% CI = 0.77-0.91; aOR = 0.76, 95% CI = 0.70-0.83; P < 0.001) than patients in states with no policy or medical-only, respectively. Those in states with both policies were more likely to receive a follow-up opioid (aOR = 1.87, 95% CI = 1.71-2.05; aOR = 2.20, 95% CI = 2.01-2.42; P < 0.001) than those in states with no policy or medical-only, respectively, and more likely to receive ≥ 90 cumulative follow-up opioid days' supply (aOR = 1.18, 95% CI = 1.07-1.29; P < 0.001) than those in states with no policy. CONCLUSIONS: Our analysis does not support the supposition that access to marijuana lowers use of chronic opioids for pain.

Impact of Star Rating Medication Adherence Measures on Adherence for Targeted and Nontargeted Medications.

BACKGROUND: In 2012, Medicare incorporated medication adherence targeting oral antidiabetic medications, renin-angiotensin system (RAS) antagonists, and statins as highly weighted components in its Star Ratings Program. In the same year, health plans began receiving quality bonus payments for higher star ratings. OBJECTIVE: We aimed to assess how these policy changes affected adherence to targeted and other chronic disease medications in the United States. METHODS: We performed interrupted time series analyses to assess monthly changes in medication adherence from 2010 to 2016 using health plans' Medicare claims submitted to a large pharmacy benefits manager. We conducted 2 sets of analyses. The first examined whether policy changes affected adherence to the 3 targeted therapy classes, and the second assessed the association between policy changes and adherence to 5 chronic disease classes not targeted by star ratings. For the second analysis, we further compared adherence between members who concomitantly used and did not use targeted medications. RESULTS: For star-ratings analyses, we studied 240 811 members on oral antidiabetic medications, 500 958 on RAS antagonists, and 471 135 on statins. Adherence for all star rating-targeted and nontargeted medications increased after 2012 (P < .001). Oral antidiabetic, statin, and RAS antagonist adherence was, respectively, 11.2%, 3.7%, and 8.1% higher than adherence without policy changes (P < .001). Nontargeted antihypertensive and antihyperlipidemic adherence trends were higher among those concomitantly on star rating-targeted medications compared with those who were not (P < .001). CONCLUSIONS: As policy makers strive to identify optimal quality measures for improving healthcare delivery, it is important to consider that incentives can promote improved performance in both targeted measures and related outcomes.

Longitudinal antibiotic prescribing trends among US dental specialists within a pharmacy benefits manager, 2013 through 2015.

BACKGROUND: Reducing inappropriate antibiotic prescriptions (Rxs) is a major quality improvement initiative in the United States. Tracking antibiotic prescribing trends is 1 method of assessing improvement in antibiotic prescribing. The purpose of this study was to assess longitudinal antibiotic prescribing practices among dental specialists. METHODS: This was a retrospective ecological longitudinal trend study. The authors calculated monthly systemic antibiotic Rx counts, and rates per 100,000 beneficiaries, from a pharmacy benefits manager in the United States from 2013 through 2015. The authors calculated average annual antibiotic Rx rates (AARs) for the 3-year study period. The authors used a quasi-Poisson regression model to analyze antibiotic Rx trends. The authors quantified seasonal trends, when present, via peak-to-trough ratios (PTTRs). RESULTS: Dental specialists prescribed 2.4 million antibiotics to the cohort of 38 million insurance beneficiaries during the 3-year study period (AAR = 2,086 Rxs per 100,000 beneficiaries). Oral and maxillofacial surgeons prescribed the most antibiotics (1,172,104 Rxs; AAR = 1,018 Rxs per 100,000 beneficiaries), followed by periodontists (527,038 Rxs; AAR = 457 Rxs per 100,000 beneficiaries), and endodontists (447,362 Rxs; AAR = 388 Rxs per 100,000 beneficiaries). Longitudinal antibiotic prescribing trends were stable among all dental specialties in the regression models (P > .05). The authors observed substantial seasonal variation in antibiotic Rxs in 2 specialties: pediatric dentistry (PTTR, 1.18; 95% confidence interval, 1.13 to 1.25) and orthodontics and dentofacial orthopedics (PTTR, 1.41; 95% confidence interval, 1.21 to 1.71), with the highest rates of antibiotic Rxs in the spring and winter. CONCLUSIONS: Antibiotic prescribing practices for dental specialists remained stable. The authors observed seasonal trends in 2 specialties. PRACTICAL IMPLICATIONS: Public health efforts are needed improve antibiotic prescribing among dental specialties.

Effect of Intensive Interdisciplinary Transitional Care for High-Need, High-Cost Patients on Quality, Outcomes, and Costs: a Quasi-Experimental Study.

BACKGROUND: Many health systems have implemented team-based programs to improve transitions from hospital to home for high-need, high-cost patients. While preliminary outcomes are promising, there is limited evidence regarding the most effective strategies. OBJECTIVE: To determine the effect of an intensive interdisciplinary transitional care program emphasizing medication adherence and rapid primary care follow-up for high-need, high-cost Medicaid and Medicare patients on quality, outcomes, and costs. DESIGN: Quasi-experimental study. PATIENTS: Among 2235 high-need, high-cost Medicare and Medicaid patients identified during an index inpatient hospitalization in a non-profit health care system in a medically underserved area with complete administrative claims data, 285 participants were enrolled in the SafeMed care transition intervention, and 1950 served as concurrent controls. INTERVENTIONS: The SafeMed team conducted hospital-based real-time screening, patient engagement, enrollment, enhanced discharge care coordination, and intensive home visits and telephone follow-up for at least 45 days. MAIN MEASURES: Primary difference-in-differences analyses examined changes in quality (primary care visits, and medication adherence), outcomes (preventable emergency visits and hospitalizations, overall emergency visits, hospitalizations, 30-day readmissions, and hospital days), and medical expenditures. KEY RESULTS: Adjusted difference-in-differences analyses demonstrated that SafeMed participation was associated with 7% fewer hospitalizations (- 0.40; 95% confidence interval (CI), - 0.73 to - 0.06), 31% fewer 30-day readmissions (- 0.34; 95% CI, - 0.61 to - 0.07), and reduced medical expenditures ($- 8690; 95% CI, $- 14,441 to $- 2939) over 6 months. Improvements were limited to Medicaid patients, who experienced large, statistically significant decreases of 39% in emergency department visits, 25% in hospitalizations, and 79% in 30-day readmissions. Medication adherence was unchanged (+ 2.6%; 95% CI, - 39.1% to 72.9%). CONCLUSIONS: Care transition models emphasizing strong interdisciplinary patient engagement and rapid primary care follow-up can enable health systems to improve quality and outcomes while reducing costs among high-need, high-cost Medicaid patients.

Assessment of inappropriate antibiotic prescribing among a large cohort of general dentists in the United States.

BACKGROUND: The purpose of this study was to assess dental antibiotic prescribing trends over time, to quantify the number and types of antibiotics dentists prescribe inappropriately, and to estimate the excess health care costs of inappropriate antibiotic prescribing with the use of a large cohort of general dentists in the United States. METHODS: We used a quasi-Poisson regression model to analyze antibiotic prescriptions trends by general dentists between January 1, 2013, and December 31, 2015, with the use of data from Express Scripts Holding Company, a large pharmacy benefits manager. We evaluated antibiotic duration and appropriateness for general dentists. Appropriateness was evaluated by reviewing the antibiotic prescribed and the duration of the prescription. RESULTS: Overall, the number and rate of antibiotic prescriptions prescribed by general dentists remained stable in our cohort. During the 3-year study period, approximately 14% of antibiotic prescriptions were deemed inappropriate, based on the antibiotic prescribed, antibiotic treatment duration, or both indicators. The quasi-Poisson regression model, which adjusted for number of beneficiaries covered, revealed a small but statistically significant decrease in the monthly rate of inappropriate antibiotic prescriptions by 0.32% (95% confidence interval, 0.14% to 0.50%; P = .001). CONCLUSIONS: Overall antibiotic prescribing practices among general dentists in this cohort remained stable over time. The rate of inappropriate antibiotic prescriptions by general dentists decreased slightly over time. PRACTICAL IMPLICATIONS: From these authors' definition of appropriate antibiotic prescription choice and duration, inappropriate antibiotic prescriptions are common (14% of all antibiotic prescriptions) among general dentists. Further analyses with the use of chart review, administrative data sets, or other approaches are needed to better evaluate antibiotic prescribing practices among dentists.

The Effect of Florida Medicaid's State-Mandated Formulary Provision on Prescription Drug Use and Health Plan Costs in a Medicaid Managed Care Plan.

BACKGROUND: Formulary or preferred drug list (PDL) management is an effective strategy to ensure clinically efficient prescription drug management by managed care organizations (MCOs). Medicaid MCOs participating in Florida's Medicaid program were required to use a state-mandated PDL between May and August 2014. OBJECTIVE: To examine differences in prescription drug use and plan costs between a single Florida Medicaid managed care (MMC) health plan that implemented a state-mandated PDL policy on July 1, 2014, and a comparable MMC health plan in another state without a state-mandated PDL, controlling for sociodemographic confounders. METHODS: A retrospective analysis with a pre-post design was conducted using deidentified administrative claims data from a large pharmacy benefit manager. The prepolicy evaluation period was January 1 through June 30, 2014, and the postpolicy period was January 1 through June 30, 2015. Continuously eligible Florida MMC plan members were matched on sociodemographic and health characteristics to their counterparts enrolled in a comparable MMC health plan in another state without a state-mandated formulary. Outcomes were drug use, measured as the number of 30-day adjusted nonspecialty drug prescriptions per member per period, and total drug plan costs per member per period for all drugs, with separate measures for generic and brand drugs. Bivariate comparisons were conducted using t-tests. Employing a difference-in-differences (DID) analytic approach, multivariate negative binomial regression and generalized estimating equation models were used to analyze prescription drug use and costs. RESULTS: The final analytical sample consisted of 18,372 enrollees, evenly divided between the 2 groups. In the postpolicy evaluation period, overall and generic use declined, while brand use increased for members in the Florida health plan. Drug costs, especially for brands, significantly increased for Florida health plan members. No significant changes were observed over the same time period in the control health plan members. DID analyses indicated that the decline in overall drug use was 6% lower (P = 0.020), and the increase in plan costs was 27% higher (P = 0.002) among Florida health plan members compared with control group members. CONCLUSIONS: Members in a Florida Medicaid health plan with a state-mandated PDL saw declines in overall and generic drug use and an increase in drug plan costs. States considering a state-mandated PDL should take into account potential effects of decreased generic drug use and increases in prescription drug plan costs. DISCLOSURES: Funding for this study was provided internally by Express Scripts Holding Company. The authors and acknowledged contributors are employees of Express Scripts Holding Company. All authors contributed to the study concept, and study design was provided by Munshi, Mager, and Henderson. Munshi and Mager collected the data, and Munshi provided the statistical analysis. Data interpretation was performed by Munshi, Mager, and Henderson. The manuscript was written by Munshi, Henderson, and Mager and revised by Munshi, Ward, Mischel, and Henderson.

Outpatient Antibiotic Prescription Trends in the United States: A National Cohort Study.

OBJECTIVETo characterize trends in outpatient antibiotic prescriptions in the United StatesDESIGNRetrospective ecological and temporal trend study evaluating outpatient antibiotic prescriptions from 2013 to 2015SETTINGNational administrative claims data from a pharmacy benefits manager PARTICIPANTS. Prescription pharmacy beneficiaries from Express Scripts Holding CompanyMEASUREMENTSAnnual and seasonal percent change in antibiotic prescriptionsRESULTSApproximately 98 million outpatient antibiotic prescriptions were filled by 39 million insurance beneficiaries during the 3-year study period. The most commonly prescribed antibiotics were azithromycin, amoxicillin, amoxicillin/clavulanate, ciprofloxacin, and cephalexin. No significant changes in individual or overall annual antibiotic prescribing rates were found during the study period. Significant seasonal variation was observed, with antibiotics being 42% more likely to be prescribed during February than September (peak-to-trough ratio [PTTR], 1.42; 95% confidence interval [CI], 1.39-1.61). Similar seasonal trends were found for azithromycin (PTTR, 2.46; 95% CI, 2.44-3.47), amoxicillin (PTTR, 1.52; 95% CI, 1.42-1.89), and amoxicillin/clavulanate (PTTR, 1.78; 95% CI, 1.68-2.29).CONCLUSIONSThis study demonstrates that annual national outpatient antibiotic prescribing practices remained unchanged during our study period. Furthermore, seasonal peaks in antibiotics generally used to treat viral upper respiratory tract infections remained unchanged during cold and influenza season. These results suggest that inappropriate prescribing of antibiotics remains widespread, despite the concurrent release of several guideline-based best practices intended to reduce inappropriate antibiotic consumption; however, further research linking national outpatient antibiotic prescriptions to associated medical conditions is needed to confirm these findings.Infect Control Hosp Epidemiol 2018;39:584-589.

An evaluation of dental antibiotic prescribing practices in the United States.

BACKGROUND: Antibiotic prescribing practices among general dentists and dental specialists in the United States remains poorly understood. The purpose of this study was to compare prescribing practices across dental specialties, evaluate the duration of antibiotics dentists prescribed, and determine variation in antibiotic selection among dentists. METHODS: The authors performed a retrospective cross-sectional analysis of dental care provider specialties linked to deidentified antibiotic claims data from a large pharmacy benefits manager during the 2015 calendar year. RESULTS: As a group, general dentists and dental specialists were responsible for more than 2.9 million antibiotic prescriptions, higher than levels for several other medical and allied health care provider specialties. Antibiotic treatment duration generally was prolonged and commonly included broad-spectrum agents, such as amoxicillin clavulanate and clindamycin. Although amoxicillin was the most commonly prescribed antibiotic among all dental specialties, there was substantial variation among other antibiotics each specialty selected. The most common antibiotic treatment durations were 7 and 10 days. CONCLUSIONS: This study's results demonstrate that dentists frequently prescribe antibiotics for prolonged periods and often use broad-spectrum antibiotics. Further studies are necessary to evaluate the appropriateness of these antibiotic prescribing patterns. PRACTICAL IMPLICATIONS: The clinically significant variation in antibiotic selection and treatment duration identified among all dental specialties in this study population implies that further research and guidance into the treatment of dental infections is necessary to improve and standardize antibiotic prescribing practices.

Drug therapy problems and medication discrepancies during care transitions in super-utilizers.

OBJECTIVES: First, to investigate the prevalence and types of drug therapy problems and medication discrepancies among super-utilizers, and associated patient characteristics. Second, to examine the outcomes of pharmacist recommendations and estimated cost avoidance through care transitions support focused on medication management. DESIGN: Retrospective analysis of the pharmacist-led interventions as part of the SafeMed Program. SETTING: A large nonprofit health care system serving the major medically underserved areas in Memphis, Tennessee. PARTICIPANTS: Three hundred seventy-four super-utilizing SafeMed participants with multiple chronic conditions and polypharmacy. INTERVENTION: Comprehensive medication review, medication therapy management, enhanced discharge planning, home visits, telephone follow-up, postdischarge medication reconciliation, and care coordination with physicians. MAIN OUTCOME MEASURES: Types of drug therapy problems, outcomes of pharmacist recommendations, estimated cost avoided, medication discrepancies, and self-reported medication adherence. RESULTS: Prevalence of drug therapy problems and postdischarge medication discrepancies was 80.7% and 75.4%, respectively. The most frequently occurring drug therapy problems were enrollee not receiving needed medications (33.4%), underuse of medications (16.9%), and insufficient dose or duration (11.2%). Overall 50.8% of the pharmacist recommendations were accepted by physicians and patients, resulting in an estimated cost avoidance of $293.30 per drug therapy problem identified. Multivariate analysis indicated that participants with a higher number of comorbidities were more likely to have medication discrepancies (odds ratio 1.23 [95% CI 1.05-1.44]). Additional contributors to postdischarge medication discrepancies were difficulty picking up and paying for medications and not being given necessary prescriptions before discharge. CONCLUSION: Drug therapy problems and medication discrepancies are common in super-utilizers with multiple chronic conditions and polypharmacy during transitions of care, and greater levels of comorbidity magnify risk. Pharmacist-led interventions in the SafeMed Program have demonstrated success in resolving enrollees' medication-related issues, resulting in substantial estimated cost savings. Preliminary evidence suggests that the SafeMed model's focus on medication management has great potential to improve outcomes while reducing costs for vulnerable super-utilizing populations nationwide.

Racial and ethnic disparities in influenza vaccinations among community pharmacy patients and non-community pharmacy respondents.

BACKGROUND: Since 2009, pharmacists in all 50 states in the U.S. have been authorized to administer vaccinations. OBJECTIVES: This study examined racial and ethnic disparities in the reported receipt of influenza vaccinations within the past year among noninstitutionalized community pharmacy patients and non-community pharmacy respondents. METHODS: The 2009 Medical Expenditure Panel Survey was analyzed. The sample consisted of respondents aged 50 years or older, as per the 2009 recommendations by the Advisory Committee on Immunization Practices. Bivariate and multivariate logistic regression analyses were conducted to examine the influenza vaccination rates and disparities in receiving influenza vaccinations within past year between non-Hispanic Whites (Whites), non-Hispanic Blacks (Blacks) and Hispanics. The influenza vaccination rates between community pharmacy patients and non-community pharmacy respondents were also examined. RESULTS: Bivariate analyses found that among the community pharmacy patients, a greater proportion of Whites reported receiving influenza vaccinations compared to Blacks (60.9% vs. 49.1%; P < 0.0001) and Hispanics (60.9% vs. 51.7%; P < 0.0001). Among non-community pharmacy respondents, differences also were observed in reported influenza vaccination rates among Whites compared to Blacks (41.0% vs. 24.3%; P < 0.0001) and Hispanics (41.0% vs. 26.0%; P < 0.0001). Adjusted logistic regression analyses found significant racial disparities between Blacks and Whites in receiving influenza vaccinations within the past year among both community pharmacy patients (odds ratio [OR]: 0.81; 95% CI: 0.69-0.95) and non-community pharmacy respondents (OR: 0.66; 95% CI: 0.46-0.94). Sociodemographic characteristics and health status accounted for the disparities between Hispanics and Whites. Overall, community pharmacy patients reported higher influenza vaccination rates compared to non-community pharmacy respondents (59.0% vs. 37.2%; P < 0.0001). CONCLUSION: Although influenza vaccination rates were higher among community pharmacy patients, there were racial disparities in receiving influenza vaccinations among both community pharmacy patients and non-community pharmacy respondents. Increased emphasis on educational campaigns among pharmacists and their patients, especially minorities, may be needed.

Disparity implications of the Medicare medication therapy management eligibility criteria: a literature review.

The emphasis on eliminating racial and ethnic disparities in healthcare has received national attention, with various policy initiatives addressing this problem and proposing solutions. However, in the current economic era requiring tight monetary constraints, emphasis is increasingly being placed on economic efficiency, which often conflicts with the equality doctrine upon which many policies have been framed. The authors' review aims to highlight the disparity implications of one such policy provision - the predominantly utilization-based eligibility criteria for medication therapy management services under Medicare Part D - by identifying studies that have documented racial and ethnic disparities in health status and the use of and spending on prescription medications. Future design and evaluation of various regulations and legislations employing utilization-based eligibility criteria must use caution in order to strike an equity-efficiency balance.