Findings From a National Survey of Older US Adults on Patient Willingness to Use Telehealth Services: Cross-Sectional Survey.

BACKGROUND: Telehealth (telemedicine and telepharmacy) services increase access to patient services and ensure continuity of care. However, few studies have assessed factors that influence patients' willingness to use telehealth services, and we sought to investigate this. OBJECTIVE: This study aims to examine respondents' (aged between 45 and 75 years) willingness to use telehealth services (telepharmacy and telemedicine) and the correlates of the willingness to use telehealth services. METHODS: We administered a cross-sectional national survey of 1045 noninstitutionalized US adults aged between 45 and 75 years in March and April 2021. Multiple logistic regression analyses were used to identify demographic and health service use correlates of self-reported willingness to use telehealth services. RESULTS: Overall willingness to use telemedicine was high (674/1045, 64.5%). Adults aged 55 years and older were less willing to use telemedicine (aged between 55 and 64 years: odds ratio [OR] 0.61, 95% CI 0.42-0.86; aged 65 years or older: OR 0.33, 95% CI 0.22-0.49) than those younger than 55 years. Those with a regular provider (OR 1.01, 95% CI 1-1.02) and long travel times (OR 1.75, 95% CI 1.03-2.98) were more willing to use telemedicine compared to those without a regular provider and had shorter travel times, respectively. Willingness to use telemedicine services increased from 64.5% (674/1045) to 83% (867/1045) if the service was low-cost or insurance-covered, was with their existing health care provider, or was easy-to-use. Overall willingness to use telepharmacy was 76.7% (801/1045). Adults aged older than 55 years were less willing to use telepharmacy (aged between 55 and 64 years: OR 0.57, 95% CI 0.38-0.86; aged 65 years or older: OR 0.24, 95% CI 0.15-0.37) than those younger than 55 years. Those who rated pharmacy service quality higher were more willing to use telepharmacy (OR 1.06, 95% CI 1.03-1.09) than those who did not. CONCLUSIONS: Respondents were generally willing to use telehealth (telemedicine and telepharmacy) services, but the likelihood of their being willing to use telehealth decreased as they were older. For those initially unwilling (aged 55 years or older) to use telemedicine services, inexpensive or insurance-covered services were acceptable.

Results of a pre-implementation analysis of Ethiopia's National Pediatric Cancer Registry.

In Ethiopia, cancer accounts for about 5.8% of total national mortality, with an estimated annual incidence of cancer of approximately 60,960 cases and an annual mortality of over 44,000 persons. This is likely an underestimation. Survival rates for pediatric malignancies are likewise suboptimal although exact figures are unknown since a national cancer registry is unavailable. The World Health Organization (WHO) provides recommendations for the creation of cancer registries to track such data. Here we describe our pharmacist-led, pre-implementation assessment of introducing an enhanced national pediatric cancer registry in Ethiopia. Our assessment project had three specific aims around which the methods were designed: 1) characterization of the current spreadsheet-based tool across participating sites, including which variables were being collected, how these variables compared to standards set by the WHO, and a description of how the data were entered and its completeness; 2) assessment of the perceptions of an enhanced registry from hospital staff; and 3) evaluation of workflow gaps regarding documentation. The hospital staff and leadership have generally positive perceptions of an enhanced pediatric cancer registry, which were further improved by our interactions. The workflow assessment revealed several gaps, which were addressed systematically using a three-phase implementation science approach. The assessment also demonstrated that the existing spreadsheet-based tool was missing WHO-recommended variables and had inconsistent completion due to the workflow gaps. A pediatric oncology summary sheet will be implemented in upcoming trips in patient charts to better summarize the patients' journey starting from diagnosis. This document will be used by the data clerks in an enhanced-spreadsheet to have a more complete data set.

Changes in chronic medication adherence, costs, and health care use after a cancer diagnosis among low-income patients and the role of patient-centered medical homes.

BACKGROUND: Approximately 40% of patients with cancer also have another chronic medical condition. Patient-centered medical homes (PCMHs) have improved outcomes among patients with multiple chronic comorbidities. The authors first evaluated the impact of a cancer diagnosis on chronic medication adherence among patients with Medicaid coverage and, second, whether PCMHs influenced outcomes among patients with cancer. METHODS: Using linked 2004 to 2010 North Carolina cancer registry and claims data, the authors included Medicaid enrollees who were diagnosed with breast, colorectal, or lung cancer who had hyperlipidemia, hypertension, and/or diabetes mellitus. Using difference-in-difference methods, the authors examined adherence to chronic disease medications as measured by the change in the percentage of days covered over time among patients with and without cancer. The authors then further evaluated whether PCMH enrollment modified the observed differences between those patients with and without cancer using a differences-in-differences-in-differences approach. The authors examined changes in health care expenditures and use as secondary outcomes. RESULTS: Patients newly diagnosed with cancer who had hyperlipidemia experienced a 7-percentage point to 11-percentage point decrease in the percentage of days covered compared with patients without cancer. Patients with cancer also experienced significant increases in medical expenditures and hospitalizations compared with noncancer controls. Changes in medication adherence over time between patients with and without cancer were not determined to be statistically significantly different by PCMH status. Some PCMH patients with cancer experienced smaller increases in expenditures (diabetes) and emergency department use (hyperlipidemia) but larger increases in their inpatient hospitalization rates (hypertension) compared with non-PCMH patients with cancer relative to patients without cancer. CONCLUSIONS: PCMHs were not found to be associated with improvements in chronic disease medication adherence, but were associated with lower costs and emergency department visits among some low-income patients with cancer.

Telepharmacy and Quality of Medication Use in Rural Areas, 2013-2019.

INTRODUCTION: Pharmacy closures in rural areas is an increasingly common problem. Closures disrupt medication access and decrease adherence to prescription medications. Telepharmacy is a potential solution to this problem; however, research on the relationship between telepharmacy and the quality of medication use is scarce. Our study sought to address this gap by comparing the quality of telepharmacies serving rural areas and traditional pharmacies that support them. METHODS: We obtained dispensing data for the first 18 months of operation from 3 telepharmacies and 3 traditional pharmacies located in the upper Midwest. We evaluated adherence for noninsulin diabetes medications, renin-angiotensin system antagonists, and statins, as well as inappropriate use of high-risk medications in older adults and statin use in persons with diabetes. All metrics were calculated using Medicare Part D specifications. We estimated the differences between telepharmacies serving rural areas and traditional pharmacies using generalized linear regression. We adjusted our models for potential sociodemographic and clinical confounders. RESULTS: A total of 2,832 patients contributed 4,402 observations to the quality measures. After covariate adjustment, we observed no significant differences between telepharmacies and traditional pharmacies for noninsulin diabetes medications, renin-angiotensin system antagonists, statins, and high-risk medications. However, statin use in persons with diabetes was higher in telepharmacies than traditional pharmacies. CONCLUSION: We found that the quality of medication use at telepharmacies that serve rural areas was no worse than at traditional pharmacies. For communities considering the adoption of telepharmacy, results indicate that telepharmacies provide a suitable solution for expanding medication access and that using telepharmacy would not negatively affect the quality of medication use.

Patient outcomes from implementing an enhanced services pharmacy network.

OBJECTIVE: To evaluate the effect of implementing a network of community pharmacies on medication adherence, health service utilization, and health care spending. DESIGN: Quasi-experimental difference-in-difference analysis with a nonequivalent control group. SETTING AND PARTICIPANTS: Eligible Medicaid-enrolled patients in North Carolina were attributed to intervention pharmacies between March 2015 and December 2016. A control group was propensity score-matched. Interventions consisted of enhanced services and a more intensive, comprehensive initial pharmacy assessment (CIPA). OUTCOME MEASURES: Outcomes included hospitalizations; emergency department (ED) visits; health care spending for total medical, inpatient, outpatient, and ED services; and adherence to renin-angiotensin system antagonists (RASA), statins, noninsulin diabetes medications (NIDM), and multiple medications for chronic conditions (MMCC). RESULTS: There were 31,509 patients who met eligibility criteria and were attributed to a participating pharmacy. Of these, 3897 received a CIPA. Before matching, patients attributed to participating pharmacies had greater Medicaid enrollment through aged, blind, or disabled status (49.2% vs. 31.5%, P < 0.001); greater case management (10.3% vs. 7%, P < 0.001); and worse rates of chronic disease (P < 0.001). Successful matching removed these differences. Adherence to RASA medications and MMCC increased by 9.5% and 10.3% (P < 0.05), respectively. Adherence did not change for statins and NIDM. The analysis also revealed a slower decline in average total medical spending of 5.7% (P < 0.01) relative to the control group over the same period, owed to a 9.6% (P < 0.001) slower decline in outpatient spending. ED utilization also decreased more slowly relative to controls by 4.8% (P < 0.05) following the intervention. CONCLUSION: The pharmacy intervention resulted in a statistically significant improvement in medication adherence to RASA and multiple chronic medications, but did not change or may have worsened utilization and spending outcomes. More research is needed to explore patient selection and variation in implementation and heterogeneity of treatment effects when evaluating pharmacy interventions.

Do enhanced services pharmacies serve sicker patients?

OBJECTIVES: The objective of this study was to evaluate the relationship between patients' demographics, health status, and health resource use and attribution to a pharmacy participating in an enhanced services network. METHODS: Enhanced services pharmacies were defined by participation in a North Carolina enhanced services network and an associated grant-funded payment model for enhanced services. Pharmacy enrollment in the payment model began in March of 2015. Adult, non-elderly, long-term medication users who were enrolled in Medicaid were attributed to either an enhanced services pharmacy or control pharmacy based on prescription filling patterns. Time series models were used to compare spending and resource use during the year before payment model inception. Statistical tests and standardized mean differences (SMDs) were used to compare demographics during the first 2 years of the program. RESULTS: The enhanced services cohort consisted of 250 pharmacies and 61,094 patients, and 2022 pharmacies and 414,860 patients served as controls. Compared with control patients, enhanced services patients used more medications and had worse health status at baseline. They were also older; more likely to be eligible for Medicaid via aged, blind, or disabled status and more likely to reside in a rural area (SMD > 0.2). In addition, enhanced services patients had greater mean baseline health care spending, hospital admissions, and emergency department visits (P < 0.001), but trends only differed for prescription drug spending (P < 0.05). CONCLUSION: Enhanced services pharmacies, as defined by this study, appear to serve a sicker population than control pharmacies. If validated in other studies, this phenomenon can, ironically, result in lower performance scores for pharmacies offering more extensive services. To correct for this, payers and measure developers should consider risk adjustment methods and quality improvement scores that account for variation in patient case mix and pharmacists' impact on patient health over time.

Pharmacy characteristics correlating to performance in a community pharmacy network.

OBJECTIVE: To assess the correlation between pharmacy characteristics and a broad set of performance measures used to support a community pharmacy network. METHODS: Baseline characteristics regarding demographics, services provided, technology, and staffing were collected via a 68-item survey for 123 pharmacies participating in the North Carolina community pharmacy enhanced services network. Performance metric data were collected, and scores were calculated for each pharmacy. Outcome measures for this study comprised of 4 adherence measures, a risk-adjusted hospitalization measure, a risk-adjusted emergency department visit measure, a total cost of medical care measure, and a composite pharmacy performance measure. Generalized estimating equations (GEE) were used to create multivariable statistical models measuring the correlation between pharmacy characteristics and performance measures. RESULTS: After inclusion criteria were applied, 115 pharmacies remained in the analysis. These pharmacies were primarily single and multiple independent pharmacies, at 36.5% and 59.1%, respectively. Five characteristics were significantly associated with 3 measures, and none were associated with 4 or more. Having pharmacists in non dispensing roles was positively associated with total score, diabetes adherence, and chronic medication adherence. Home visits were positively associated with hypertension adherence, ED visit rate, and total score. Offering a smoking cessation program was positively associated with chronic medication, hypertension, and statin adherence. Offering free home delivery was positively associated with diabetes adherence but negatively associated with total medical spending and ED visit rate. Using dispensing automation was negatively associated with adherence to chronic medications, renin-angiotensin system antagonists, and statins. CONCLUSION: No pharmacy characteristics were associated with a majority of performance measures chosen. Additional research is needed to identify structural variables that can be used as minimum participation criteria for high-performing pharmacy networks.

Assessing changes in third-party gross margin for a single community pharmacy.

OBJECTIVES To assess changes in prescription gross margin from 2008 to 2011 using a random sample of prescriptions, analyze changes in prescription gross margin from 2008 to 2011 using a market basket of prescription drugs, and investigate impact of changes in prescription mix from 2008 to 2011 on prescription gross margins. DESIGN Longitudinal, retrospective, descriptive case study. SETTING Single independent pharmacy in Iowa City, IA, from March and April of 2008-11. PARTICIPANTS Prescription dispensing records for the pharmacy's largest private and Part D payers by prescription volume, as well as Medicaid and cash payers. INTERVENTION Random sampling and market basket approaches were used for gross margin calculation. MAIN OUTCOME MEASURES Prescription gross margins and generic dispensing rate. RESULTS Data were collected for 2,400 prescription records for the random sample and 4,860 prescriptions for the market basket sample. The median random sample and market basket gross margin dollars (GMDs) from 2008 to 2011 decreased from $9.55 to $7.22 and from $9.60 to $8.50, respectively. The percent of dispensed prescriptions that was generic increased from 62.65% in 2008 to 73.64% in 2011, and GMDs were significantly lower for generic products. CONCLUSION Third-party prescription drug gross margins in the study pharmacy varied substantially by payer and decreased over time. Pharmacies must continue to monitor changes in prescription margins and investigate ways to enhance alternative revenue sources to maintain profitability.

From Desegregation and Integration to Diversity and Inclusion: The Environment Was Just Ice.

The process of desegregation at Southern schools of pharmacy was long and arduous. Despite persistent protests, struggles, and lawsuits, many schools of pharmacy did not graduate their first Black students until the 1970s. The School of Pharmacy at the University of North Carolina at Chapel Hill unintentionally desegregated in 1962 when its first Black student, William Wicker, was inadvertently admitted. His personal story and those of his fellow pioneers in desegregation, Mona (Boston) Reddick and James Barnes, provide valuable context to Diversity, Equity, and Inclusion efforts. The historical proximity of desegregation affords the pharmacy profession only one or two generations of Black pharmacists trained during an era when Southern pharmacy education was broadly available. These stories personify the legacy of segregation, confront the ongoing impact of structural racism, and meaningfully inform conversations about Diversity, Equity, and Inclusion in pharmacy education.

Real-world persistence and adherence to glucagon-like peptide-1 receptor agonists among obese commercially insured adults without diabetes.

BACKGROUND: In 2014, the US Food and Drug Administration approved the first glucagon-like peptide-1 (GLP-1) receptor agonist product, liraglutide injection, for obesity treatment. Many GLP-1 obesity treatment clinical trials report significant weight loss and medication adherence at more than 85%. Little is known about the real-world GLP-1 obesity treatment adherence, persistence, and switch rates. OBJECTIVE: To measure GLP-1 therapy persistence, adherence, and switch rates in a real-world cohort of members without diabetes using these drugs for obesity treatment. METHODS: Integrated pharmacy and medical claims data from 16.5 million average monthly commercially insured membership were used to identify obese members without diabetes newly initiating GLP-1 therapy between January 1, 2021, and December 31, 2021. Members were required to be continuously enrolled 1-year before and after the GLP-1 therapy start date and aged 19 years of age or older. Persistence was measured as no greater than or equal to 60-day gap with allowance for GLP-1 switching. Adherence was measured as the proportion of days covered (PDC) and members with a PDC greater than or equal to 80% were considered adherent. GLP-1 product switching was also assessed descriptively. RESULTS: 4,066 commercially insured obese members without diabetes that newly initiated GLP-1 therapy met all study criteria. The mean age was 46 years, and 81% were female. Overall, GLP-1 persistence was 46.3% at 180 days and 32.3% at 1 year. The highest and lowest persistence rates at 1 year were observed for semaglutide (Ozempic) at 47.1% and liraglutide (Saxenda) 19.2%, respectively. Average PDC during the 1-year assessment was 51.0% with 27.2% adherent to therapy and 11.1% switched GLP-1 drugs. CONCLUSIONS: This GLP-1 weight loss treatment real-world analysis, among obese individuals without diabetes, found poor 1-year persistence and adherence and low rates of switching between products. These findings will aid in assessing products cost-effectiveness, understanding obesity care management program needs, forecasting future GLP-1 use and cost trends, and negotiating GLP-1 pharmaceutical manufacturer value-based purchasing agreements.

State Telepharmacy Policies and Pharmacy Deserts.

Importance: Pharmacy deserts have increased, potentially affecting patient access and care. Historically, telepharmacies have been used to reduce pharmacy deserts to restore access, but states frequently restrict their operation. Objective: To analyze whether telepharmacy policy is associated with pharmacy deserts and access to pharmacy services. Design, Setting, and Participants: This cohort study analyzed pharmacy location and census data from 2016 through 2019 for US states with new telepharmacy policies. Nearby control states were used for comparison in a pretest-posttest nonequivalent group design. Statistical analysis was performed from January 2022 to July 2023. Exposure: Intervention states were selected if a change in telepharmacy policy was adopted in 2017 or 2018. Main Outcomes and Measures: Pharmacy deserts were defined as any geographic area located at least 10 miles from the nearest pharmacy. Primary outcomes included the change in number of telepharmacies, pharmacy deserts, and population in pharmacy deserts. Secondary outcomes included the percentage of telepharmacies located in medically underserved areas or populations (MUA/Ps), and the association between a telepharmacy opening nearby and the transition of a pharmacy desert into a nonpharmacy desert. Results: Twelve US states were included in the study (8 intervention states, 4 control states). Intervention states experienced an increase in the mean number of telepharmacies to 7.25 with a range of 4 (Arizona, Indiana) to 14 (Iowa), but control states remained at a mean of 0.25 telepharmacies with a range of 0 to 1 (Kansas). Compared with controls, intervention states experienced a 4.5% (95% CI, 1.6% to 7.4%) decrease in the percentage of places defined as pharmacy deserts (P = .001) and an 11.1% (95% CI, 2.4% to 22.6%) decrease in the population in a pharmacy desert (P = .03). Telepharmacies were more likely to be located in a MUA/P than traditional pharmacies (preperiod in MUA/P: 63.2% of telepharmacies [12 of 19] vs 33.9% of traditional pharmacies [5984 of 17 511]; P = .01; postperiod in MUA/P: 62.7% of telepharmacies [37 of 59] vs 33.7% of traditional pharmacies [5998 of 17 800]; P < .001). When a telepharmacy was established in pharmacy deserts, 37.5% (30 of 80) no longer met the study's definition of a pharmacy desert the following year. In contrast, only 1.8% of places (68 of 3892) where a nearby telepharmacy did not open experienced this change (χ21=416.4; P < .001). Conclusions and Relevance: In this cohort study, intervention states experienced a reduced population in pharmacy deserts, suggesting an association with new telepharmacy openings. States aiming to improve pharmacy access might consider less restrictive telepharmacy policies to potentially elicit greater patient outcomes.

Review of the National Quality Forum's Measure Endorsement Process.

ABSTRACT: The National Quality Forum (NQF) evaluates healthcare performance measures for endorsement based on a broad set of criteria. We extracted data from NQF technical reports released between spring 2018 and spring 2019. Measures were commonly stewarded by federal agencies (44.29%), evaluated for maintenance (67.14%), classified as outcome (42.14%) or process (39.29%) measures, and used a statistical model for risk adjustment (48.57%). For 80% of the measures reviewed, a patient advocate was present on the reviewing committee. Validity was evaluated using face validity (65.00%) or score-level empirical validity (67.14%), and reliability was frequently evaluated using score-level testing (71.43%). Although 91.56% of all reviewed measures were endorsed, most standing committee members voted moderate rather than high support on key assessment criteria like measure validity, measure reliability, feasibility of use, and whether the measure addresses a key performance gap. Results show that although the Consensus Development Process includes multidisciplinary stakeholder input and thorough evaluations of measures, continued work to identify and describe appropriate and robust methods for reliability and validity testing is needed. Further work is needed to study the extent to which stakeholder input is truly representative of diverse viewpoints and improve processes for considering social factors when risk adjusting.

Impact of Expanding Access to Continuous Glucose Monitoring Systems Among Insulin Users with Type 1 or Type 2 Diabetes.

Background: Despite increased use of continuous glucose monitoring (CGM) systems, studies to quantify patterns of CGM use are limited. In December 2018, a policy change by a commercial insurer expanded coverage of CGM through the pharmacy benefit, creating an opportunity to evaluate the impact of this change on CGM utilization. Research Design and Methods: Pharmacy and medical claims from 2016 to 2020 were used to estimate the prevalence of CGM use among insulin users with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) before and after the policy change. Change in CGM use was assessed using an interrupted time series design. Results: At the beginning of the study period, 18.8% of T1DM patients and 1.2% of T2DM patients used CGM. Use rose to 30.5% and 6.6% in the quarter before the policy change. The policy resulted in an immediate 9.5% (P < 0.0001) and 2.8% (P < 0.0001) change in use and increased the rate of quarterly change by 0.5% (P = 0.002) and 0.8% (P < 0.0001). At the end of the study period, 58.2% and 14.9% of T1DM and T2DM patients used CGM. Conclusion: CGM use significantly increased after addition to the pharmacy benefit. Rate of change in CGM use was lower in T1DM compared to the T2DM population, but overall use remained higher among patients with T1DM. Increased CGM use in the population studied aligns with those whose clinical guidelines suggest would most likely benefit. Additional work is needed to evaluate the impact of this benefit change on health care spending and outcomes.

Telehealth medication management and health care spending in a Medicare Accountable Care Organization.

BACKGROUND: Value-based care is an opportunity for medication optimization services to improve medication management and reduce health care spending. The reach of these services may be extended through telehealth. However, as health care systems and payers grapple with the long-term financing of telehealth, real-world assessments are needed to evaluate the potential economic impact of pharmacy-driven telehealth services. OBJECTIVE: To evaluate the impact of a scalable pharmacist-driven telehealth intervention to improve medication management on health care spending for clinically complex patients who were enrolled in a Medicare Next Generation Accountable Care Organization. METHODS: Data for this pretest-posttest nonequivalent group design study came from Medicare claims from 2015 to 2020 and linked pharmacist care activity data derived from the electronic medical record. Patients in the intervention group were identified as those who received the telehealth medication management service. Patients in the control group were offered the service and refused or could not be contacted. The primary outcome was total medical spending over a 6-month period, and impact was assessed using a covariate-adjusted difference-in-difference model. RESULTS: There were 581 patients who received the intervention and 1,765 who served as controls. The telehealth intervention reduced total medical spending by $2,331.85 per patient over the first 6 months of the service ($388.50 per month; P = 0.0261). Across a range of estimates for the cost of service delivery, we find a return on investment of 3.6:1 to 5.2:1. CONCLUSIONS: The $388.50 monthly savings found in this study represent a substantial reduction in health care spending and emphasize the opportunity for telehealth delivery of medication management services to improve value as a part of alternative payment models. DISCLOSURES: This study was funded by the UNC Health Care Department of Pharmacy. Dr Urick has received personal fees from Pharmacy Quality Solutions and Cardinal Health. Drs Peters, Vest, Colmenares, Foushee, and DeFalco are employees of UNC Health Care Department of Pharmacy. Mr Easter received a Co-PI grant from NACDS Foundation to implement Community-based Value Care Initiative (CVCI) in a community pharmacy setting. He also received a grant to Eshelman School of Pharmacy. He has an individual consulting agreement with digital health company Truentity Health to provide go to market strategy for medication management services. He also has stock options from Truentity Health as a component of the consulting agreement. Dr Foushee has a leadership or fiduciary role at Member-At-Large and the Ambulatory Care Academy of the North Carolina Association of Pharmacists. At the time this work was conducted, Dr Urick, Dr Pathak, and Dr Blanchard were all employees of the UNC Eshelman School of Pharmacy.

Pharmacists as accessible health care providers: quantifying the opportunity.

BACKGROUND: Community pharmacists are well positioned to improve patient access to care, which may assist value-based care programs in reaching patients. While pharmacy accessibility is broadly acknowledged, much of the research supporting accessibility claims is poor quality. OBJECTIVE: To quantify the accessibility of pharmacists in comparison with physicians or qualified health care professionals (QHP) in a commercially insured population. METHODS: IBM MarketScan claims data from 2018 were used for this cross-sectional study. Beneficiaries included in the primary analysis were aged 18-64 years, enrolled with pharmacy benefits in 2018 for 12 months, and had at least 1 valid prescription drug claim or evaluation and management (E&M) code in 2018. Unique pharmacy visits were defined using a 6-day fill window for prescription fill dates, while visits to physicians or other QHP were defined as unique service dates tied to an E&M code. We assessed differences in visit frequency for the full sample, those with multiple chronic conditions (MCC), and "superutilizers" (top 5% based on total cost of care). Our statistical approach included descriptive statistics and the Wilcoxon sign rank test. RESULTS: After applying the inclusion criteria, 11,720,958 beneficiaries were included in the full sample. The MCC cohort contained 13.8% of the total sample (mean [SD] age: 50.8 [10.8]; 908,880 [56.1%] female). Finally, the superutilizers were 57.3% female with an average age of 48.4 years and comprised 5.3% of the total sample. The median number of pharmacy and physician or QHP visits for the full sample were 5 and 3 (P < 0.0001), yielding a pharmacy to physician or QHP visit ratio of 1.7:1. The MCC cohort had a median of 13 pharmacy visits and 7 physician or QHP visits (ratio 1.9:1; P < 0.0001), and the superutilizers had a median of 14 pharmacy visits and 9 physician or QHP visits (ratio 1.6:1; P < 0.0001). CONCLUSIONS: This study found that patients visit their community pharmacies almost twice as often as they visit their physicians or other QHP. Study findings emphasize the accessibility of community pharmacists and highlight the role of community pharmacists in improving patient engagement in all care programs, including value-based care programs. DISCLOSURES: The database infrastructure used for this project was funded by the Department of Epidemiology, University of North Carolina (UNC) Gillings School of Global Public Health; the Cecil G. Sheps Center for Health Services Research, UNC; the CER Strategic Initiative of UNC's Clinical Translational Science Award (UL1TR001111); and the UNC School of Medicine. All authors are employed by the UNC School of Pharmacy. Urick declares consulting fees from Cardinal Health. The other authors have no conflicts of interest to disclose. Portions of this work were previously presented at the AMCP 2021 Virtual, April 12-16, 2021.

Relative contribution of pharmacists and primary care providers to shared quality measures.

Background: Alternative payment models are common for both primary care providers and pharmacies. These models rely on quality measures to determine reimbursement, and pharmacists and primary care providers can contribute to performance on a similar set of medication-related measures. Therefore, payers need to decide which provider to incentivize for which measures when both are included in alternative payment models. Objectives: To explore the relative contribution of pharmacies and primary care group practices to a range of quality measures. Methods: This retrospective cross-sectional study used Medicare Part A, B, and D claims for a 20% random sample of Medicare beneficiaries for 2014-2016. Eight quality measures were selected from the Merit-based Incentive Payment System and Medicare Part D Stars Ratings. Measures included medication adherence measures, appropriate prescribing measures such as high-risk medication use in the elderly, statin use in persons with diabetes (SUPD), and others. The residual intraclass correlation coefficient (RICC) was used to estimate the contribution of pharmacists and primary care providers to measure variation. To estimate the relative contribution across provider types, the pharmacy RICC was divided by the group practice RICC to yield a RICC ratio. Results: Due to varying measure eligibility requirements, the number of patients per measure ranged from 179,430 to 2,226,129. Across all measures, the RICC values were low, ranging from 0.013 for SUPD to 0.145 for adult sinusitis. Adherence measures had the highest RICC ratios (1.15-1.44), and the annual influenza vaccination measure had the lowest (0.56). Discussion and conclusions: The relative contributions of pharmacists and primary care providers vary across quality measures. As payers design payment models with measures to which pharmacists and primary care providers can contribute, the RICC ratio may be useful in aligning incentives to the providers with the greatest relative contributions. Additional research is needed to validate this method and extend it to additional sets of providers.

Associations between pharmacy choice and influenza vaccination: Mail order vs community pharmacy users.

BACKGROUND: Despite the effectiveness of vaccines, US adult vaccination rates remain low. This is especially true for the influenza vaccine, which is recommended annually and widely available. The accessibility of community pharmacies as convenient places to receive influenza vaccines has been shown to increase uptake. However, use of mail order pharmacies may reduce in-person pharmacist encounters and reduce the likelihood that users receive annual influenza vaccines. OBJECTIVE: To determine the association between the type of pharmacy a patient uses and their likelihood of receiving an influenza vaccine. METHODS: This cross-sectional cohort study used the 2018 Medical Expenditure Panel Survey to observe noninstitutionalized US adult pharmacy users. Pharmacy type was dichotomized into community use only vs any mail order pharmacy use. Multivariable weighted logistic regression was used to identify associations between the type of pharmacy used and influenza vaccination, adjusting for sociodemographic, health status, and health care access and utilization confounders. All analyses were stratified by age (< 65 and ≥ 65 years). RESULTS: The aged younger than 65 years and aged 65 years and older samples had 8,074 and 4,037 respondents who represented 95,930,349 and 40,163,276 weighted observations, respectively. Compared with community pharmacy users, mail order users were more likely to be aged 65 and older, be White, have high income, and have a usual source of care (P < 0.0001). Adjusted odds ratios (AORs) for influenza vaccination were significantly lower among community pharmacy users than mail order users among individuals aged younger than 65 years (AOR=0.71; 95% CI = 0.580.87) but was not significant among those aged 65 years and older (AOR = 0.87; 95% CI = 0.69-1.09). CONCLUSIONS: Community pharmacy users aged younger than 65 years are less likely to receive the influenza vaccine than their mail order pharmacy user counterparts. These counterintuitive results could be caused by residual confounding due to differences in factors that influence pharmacy use type and vaccination likelihood. Further exploration is needed to account for differences between these populations that independently drive vaccination choice. DISCLOSURES: Dr Burbage was a fellow in the Real World Evidence, Population Health and Quality Research Postdoctoral Fellowship Program in collaboration with University of North Carolina Eshelman School of Pharmacy and Pharmacy Quality Alliance, and supported by Janssen Scientific Affairs at the time of this study. She is now employed by Janssen Scientific Affairs. Dr Parikh is an employee of Pharmacy Quality Alliance. Dr Campbell was employed by Pharmacy Quality Alliance at the time of the study. He is now employed by Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA. Dr Ramachandran has received an unrelated research contract with Pharmacy Quality Alliance. Dr Gatwood has received vaccine-related research grants from Merck & Co. and GlaxoSmithKline unrelated to this project and consulting fees for a vaccine-related expert panel with Merck & Co. unrelated to this manuscript and is an advisory board member with Janssen Scientific Affairs. Dr. Urick was employed by the UNC Eshelman School of Pharmacy at the time of this writing and is currently employed by Prime Therapeutics. He has received community pharmacy-related consulting fees from Cardinal Health and Pharmacy Quality Solutions unrelated to this work. Dr Ozawa has a research grant from Merck & Co. unrelated to this project. This project did not receive funding from any agency in the public, commercial, or not-for-profit sectors.

Is it time to replace the star ratings adherence measures?

Measures of medication adherence to noninsulin diabetes medications (NIDM), statins, and renin angiotensin system antagonists (RASA) have been continuously used in the star ratings program since 2012. Adherence to these treatments is undoubtedly important. However, the consistent use of these measures in the star ratings program over time has limitations. The purpose of this Viewpoints article is to highlight concerns associated with the current star ratings adherence measures and to offer proposals for the improvement of the adherence measurement in the program. This scoping review outlines concerns with the validity of the 3 star ratings adherence measures. In addition, star ratings data are used to describe payment thresholds for the 3 adherence measures over time to describe concerns associated with their use. Since 2012, there has been significant growth in the proportion of patients considered adherent in the star ratings program. Rates of adherence in a 2-star plan for NIDM (79%), RASA agents (83%), and statins (79%) now exceed what is commonly reported in the clinical literature. For a plan to achieve a rating of 5 stars, more than 88% of patients must be adherent to each measure. These rates suggest a ceiling effect and a reduced ability to distinguish plan performance. In addition, concerns over the potential for plans to "game" these measures have been raised. The use of mail order services, 90-day prescription refill programs, and automatic refill reminders all improve the proportion of days covered measurement but may not reflect true adherence improvements. Given potential concerns associated with the use of the existing adherence measures, it may be time to consider their replacement. One option would be to adopt a broader inventory of chronic medications to measure adherence in the program and to rotate medication categories in the program each year. It might also be time to explore measuring patient adherence to all medications that a patient uses instead of the narrow focus on the 3 existing measures. DISCLOSURES: No funding supported the writing of this article. Farley has nothing to disclose. Urick reports consulting fees from Pharmacy Quality Solutions, unrelated to this work.

Performance-based pharmacy payment models: key components and critical implementation considerations for successful uptake and integration.

BACKGROUND: In the United States, the shift towards value-based health care seeks to improve patient outcomes while reducing health care spending. Although the federal government has led the implementation of performance-based models for physicians and health care systems, commercial entities have largely been responsible for the development of similar models within pharmacy. For the purposes of this study, performance-based pharmacy payment models (PBPPMs) were defined as prescription drug payment models that determine reimbursement or fees for community pharmacies based in part on measured performance. These PBPPMs incentivize pharmacies to improve patient care by linking reimbursement to performance measures. However, the design and implementation of PBPPMs lack transparency and have not been described in the literature. OBJECTIVES: To (1) describe the structure of PBPPMs in the United States and (2) identify contextual and motivational influences that need to be considered for successful uptake and integration of these models. METHODS: A search of peer-reviewed and grey literature was undertaken. In addition, semi-structured stakeholder interviews were conducted with a convenience sample of 17 individuals who were community pharmacists, payers, quality measure developers and vendors, academics, and pharmacy advocacy organization leaders. Data were analyzed to understand the current structure of PBPPMs and opportunities for improvement, as well as implementation considerations that included facilitators, barriers, and key insights. RESULTS: This study identified 4 major components of US PBPPMs: attribution, performance and quality measures, incentive structures, and patient care services. A number of barriers (eg, lack of alignment) and recommendations to improve the current structure of PBPPMs (eg, the need for adequate incentives to facilitate change) were highlighted. Notable implementation considerations centered around (1) establishing common ground among stakeholders to avoid misalignment and encourage engagement; (2) the importance of a quality-driven, innovative, and flexible organizational culture with access to data infrastructure, adjusted workflows, and relevant trainings; (3) supporting the cultural transition to value-based health care; and (4) application of financial incentives at the pharmacy or pharmacist level. CONCLUSIONS: To better develop and implement PBPPMs, it is first critical to understand the key components that define these models and the needed changes to their structure. In addition, identifying the contextual and motivational factors that influence their successful integration can improve future uptake. This study illustrates the landscape of PBPPMs in the United States, as well as makes recommendations for improvement in their design. To improve future development and implementation of these models, the following recommendations are highlighted: (1) increase transparency and alignment of measures with the incentive structure; (2) embrace innovative business models; (3) carefully plan and use roadmaps that outline successful uptake and implementation; and (4) foster culture of quality at all levels of health care. DISCLOSURES: This study was sponsored by Pharm-Alliance, an alliance between the pharmacy schools of the University of North Carolina at Chapel Hill, Monash University, and University College London. Urick reports consulting fees from Pharmacy Quality Solutions and Cardinal Health, unrelated to this work. The other authors have nothing to disclose. This study was a podium presentation under the title "What Makes Performance-Based Pharmacy Payment Models Work?" at AMCP Nexus Virtual, October 2020.

A Systematic Review of the Effect of Telepharmacy Services in the Community Pharmacy Setting on Care Quality and Patient Safety.

While community pharmacy-based telepharmacy services can expand medication access for underserved communities, the safety and quality of these services is uncertain. A systematic review was conducted in August 2020 exploring the effect of community pharmacy-based telepharmacy services on patient safety and care quality. Database searches identified 866 studies, of which six met the inclusion and the risk of bias measurement criteria. Medication dispensing errors, adherence, and patient satisfaction were the most frequently evaluated outcomes. Literature suggests no overall difference in medication safety and adherence, conflicting evidence on patient satisfaction, and insufficient evidence on inappropriate medication use in community pharmacy-based telepharmacies compared with traditional pharmacies. Due to the potential for high risk of bias, no definitive conclusions could be made about telepharmacy outcomes. Research with stronger study designs and more rigorous evaluation methodologies is needed to create conclusive evidence on the effectiveness of community pharmacy-based telepharmacy services.