Perceptions of metabolic syndrome management utilization in relation to patient experience and health-related quality of life.

Background: One factor for the poor health outcomes among adult people with metabolic syndrome (MetS) is poor utilization of disease management resources, which may be attributable to prior experience with pharmacists (PEwP) and perceptions of disease management resource utilization (PMU). Therefore, understanding patients' experience could be critical to improving their perceptions and promoting health outcomes. Objectives: The study explored the influence of PEwP and PMU on the health-related quality of life (HRQoL) of people with MetS. Methods: Data on perceptions of healthcare, medication, and pharmacy services utilization, PEwP, and HRQoL were collected using validated tools via an electronic survey. Chi-square and ordinal regression tests were used to predict the association between PMU, PEwP, and HRQoL. Also, mediation analysis through Haye's model 4 explored the direct and indirect relationship of PMU and PEwP on HRQoL. Results: A total of 706 completed surveys were collected and used for analyses. On average, respondents reported three comorbidities. Of the respondents, 72.0% had good PEwP, while 32.6% had good PMU. Comparatively, 38.4% of those with good PEwP had good PMU, compared to 17.3% of those with poor PEwP. Also, 47.0% of those with good PMU had good HRQoL compared to 35.3% with poor PMU. The odds of having fair or good PMU were nearly triple (OR = 2.97, p < 0.001) among those with good PEwP compared to those with poor PEwP. Also, respondents with good PMU had 58% (OR = 1.58, p = 0.008) higher odds of having fair or good HRQoL. Analysis through bootstrap indicated a significant relationship (BootCI = -0.072, -0.022) between PEwP and HRQoL via respondents' PMU. Conclusions: MetS individuals with good experience and PMU were more likely to have good HRQoL. Prior experience with pharmacists influenced PMU and indirectly impacted HRQoL. Therefore, pharmacists must consider patients' experience and management utilization perceptions to promote health outcome among people with MetS, while implementing interventions.

Real-World Dispensing of Buprenorphine in California during Prepandemic and Pandemic Periods.

INTRODUCTION: The opioid overdose crisis in the United States has become a significant national emergency. Buprenorphine, a primary medication for individuals coping with opioid use disorder (OUD), presents promising pharmacokinetic properties for use in primary care settings, and is often delivered as a take-home therapy. The COVID-19 pandemic exacerbated the scarcity of access to buprenorphine, leading to dire consequences for those with OUD. Most existing studies, primarily focused on the immediate aftermath of the COVID-19 outbreak, highlight the challenges in accessing medications for opioid use disorder (MOUDs), particularly buprenorphine. However, these studies only cover a relatively short timeframe. METHODS: To bridge this research gap, in our study, we utilized 33 months of California's prescription drug monitoring program (PDMP) data to provide insights into real-world buprenorphine dispensing trends since the onset of the pandemic from 2018 to 2021, focusing on outcomes such as patient counts, prescription volumes, prescriber involvement, days' supply, and dosage. Statistical analysis employed interrupted time series analysis to measure changes in trends before and during the pandemic. RESULTS: We found no significant impact on patient counts or prescription volumes during the pandemic, although it impeded the upward trajectory of prescriber numbers that was evident prior to the onset of the pandemic. An immediate increase in days' supply per prescription was observed post-pandemic. CONCLUSION: Our findings differ in comparison to previous data regarding the raw monthly count of patients and prescriptions. The analysis encompassed uninsured patients, offering a comprehensive perspective on buprenorphine prescribing in California. Our study's insights contribute to understanding the impact of COVID-19 on buprenorphine access, emphasizing the need for policy adjustments.

Disentangling the Cost of Orphan Drugs Marketed in the United States.

The increasing number and high prices of orphan drugs have triggered concern among patients, payers, and policymakers about the affordability of new drugs approved using the incentives set by the Orphan Drug Act (ODA) of 1983. This study evaluated the factors associated to the differences in the treatment cost of new orphan and non-orphan drugs approved by the FDA from 2017 to 2021. A generalized linear model (GLM) with the Gamma log-link analysis was used to ascertain the association of drug characteristics with the treatment costs of orphan and non-orphan drugs. The results of the study showed that the median and interquartile range (IQR) drug cost was USD 218,872 (IQR = USD 23,105) for orphan drugs and USD 12,798 (IQR = USD 57,940) for non-orphan drugs (p < 0.001). Higher market entry prices were associated with biologics (108%; p < 0.001), orphan status (177%; p < 0.001), US sponsor companies (48%; p = 0.035), chronic use (1083%; p < 0.001), treatment intent (163%; p = 0.004), and indications for oncology (624%; p < 0.001) or genetic disorders (624%; p < 0.001). Higher market entry treatment cost for newly approved drugs were associated with biologics, orphan status, US sponsor companies, chronic use, therapeutic intent, and indications for oncology or genetic disorders.

A Motivational Interviewing Intervention to Improve Adherence to ACEIs/ARBs among Nonadherent Older Adults with Comorbid Hypertension and Diabetes.

BACKGROUND: Hypertension and diabetes mellitus are independent risk factors for cardiovascular diseases. Due to the cardioprotective nature of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs), they are recommended for patients with comorbid hypertension and diabetes. However, poor adherence to ACEIs/ARBs among older adults is a major public health concern. This study aimed to assess the effectiveness of a telephonic motivational interviewing (MI) intervention conducted by pharmacy students among a nonadherent older population (≥ 65 years old) with diabetes and hypertension. METHODS: Patients continuously enrolled in a Medicare Advantage Plan who received an ACEI/ARB prescription between July 2017 and December 2017 were identified. Group-based trajectory modeling (GBTM) was used to identify distinct patterns of ACEI/ARB adherence during the 1-year baseline period: adherent, gaps in adherence, gradual decline, and rapid decline in adherence. Patients from the three nonadherent trajectories were randomized into MI intervention or control group. The intervention consisted of an initial call and five follow-up calls administered by MI-trained pharmacy students and tailored to the baseline ACEI/ARB adherence trajectories. The primary outcome was adherence to ACEI/ARB during the 6- and 12-month periods post-MI implementation. The secondary outcome was discontinuation, defined as no refills for ACEI/ARB during the 6- and 12-month periods post-MI implementation. Multivariable regression analyses examined the impact of MI intervention on ACEI/ARB adherence and discontinuation while adjusting for baseline covariates. RESULTS: A total of 240 patients in the intervention group and 480 patients as randomly selected controls were included in this study. At 6 months, patients receiving the MI intervention had significantly better adherence (ß = 0.06; p = 0.03) compared with the controls. Linear and logistic regression models also showed patients in the intervention group were more likely to be adherent than controls within 12 months of intervention implementation (ß = 0.06; p = 0.02 and OR: 1.46; 95% CI 1.05-2.04, respectively). MI intervention did not have any significant impact on the ACEI/ARB discontinuation. CONCLUSION: Patients who received the MI intervention were more likely to be adherent at 6 and 12 months following the intervention initiation, despite gaps in the follow-up calls due to COVID-19. Pharmacist-led MI intervention is an effective behavioral strategy to improve medication adherence among older adults and tailoring the intervention to past adherence patterns may enhance the intervention effectiveness. This study was registered with the United States National Institutes of Health (ClinicalTrials.gov identifier NCT03985098).

Patient-Reported Barriers to Adherence Among ACEI/ARB Users from a Motivational Interviewing Telephonic Intervention.

Purpose: Hypertension is a common comorbidity among type 2 diabetes mellitus (T2DM) patients, which increases the risk of cardiovascular diseases. Despite the proven benefit of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in this population, poor medication adherence is prevalent, resulting in higher complications and mortality rate. Motivational interviewing (MoI) has demonstrated effectiveness in improving medication adherence and identifying barriers. This study aimed to assess and identify patient-reported barriers to adherence to ACEI/ARB from an MoI telephonic intervention conducted by student pharmacist interns. Patients and Methods: This retrospective study was conducted within an MoI intervention customized by past ACEI/ARB adherence trajectories for nonadherent patients with T2DM and hypertension enrolled in a Medicare Advantage Plan. Adherence barriers were extracted from the interviewers' notes by two independent researchers. Descriptive analysis was performed to summarize the overall frequency of barriers as well as across trajectory groups, identified from the initial and follow-up calls. Results: In total, 247 patients received the initial MoI call from which 41% did not communicate any barrier for ACEI/ARB use despite having low adherence. About 59% of the patients reported at least one barrier during the initial call. The most common barriers included forgetfulness, discontinuation by physicians, side effects, multiple comorbidities, polypharmacy, lack of knowledge about disease/medication, and cost issues. The follow-up calls helped with uncovering at least one new barrier for 28 patients who previously communicated a different issue with their medication during the first call. Additionally, 18 patients with initial denial for having any barrier to adherence reported at least one barrier throughout the follow-up calls. Conclusion: This study summarized patient-reported barriers to ACEI/ARB adherence from an MoI telephonic intervention performed among nonadherent patients. Identifying specific barriers for patients may help to further design tailored interventions that address the barriers and improve adherence.

Impact of geographic access to primary care providers on pediatric behavioral health screening.

Behavioral Health (BH) screening is critical for early diagnosis and treatment of pediatric mental disorders. The objective of this study was to assess the impact of geographic access to primary care providers (PCP) on pediatric BH screening in children with different race/ethnicity. A retrospective cohort study was conducted using the 2013-2016 administrative claims data from a large pediatric Medicaid Managed Care Plan that have been linked to 2010 US Census data and the 2017 National Provider Identifier (NPI) Registry. Geographic access was defined as the actual travel distance to nearest PCP and the PCP density within 10-mile travel radius from each individual's residence. Stratified multivariate logistic regression was conducted to examine the association between the geographic access to PCP and the likelihood of receiving screening for behavioral disorders within each racial/ethnic group. BH screening rate was 12.6% among 402,655 children and adolescents who met the inclusion criteria. Multivariable analysis stratified by individual race/ethnicity revealed that Hispanic and Black children were more vulnerable to the geographic access barriers than their non-Hispanic White counterparts. The increase in travel distance to the nearest PCP was negatively associated with screening uptake only among Hispanics (10-20 miles vs. 0-10 miles: OR = 0.78, 95% CI [0.71-0.86]; 20-30 miles vs. 0-10 miles: OR = 0.35, 95% CI [0.23-0.54]). In a subgroup that had access to at least one PCP within 10 miles of travel distance, the variation in PCP density had a greater impact on the screening uptake among Hispanics and Blacks than that in non-Hispanic Whites.

Switching pharmacies leads to gaps in medication possession in individuals treated with buprenorphine.

BACKGROUND: Not all pharmacies stock and dispense buprenorphine, potentially complicating continuous access to care for patients with opioid use disorder (OUD). This may become problematic if a patient's primary pharmacy can no longer provide buprenorphine, and the patient cannot locate a new pharmacy. OBJECTIVES: To identify how often patients treated with buprenorphine for OUD switch pharmacies and to estimate the association between switching pharmacies and a clinically significant gap in therapy of 7 days or longer. METHODS: A retrospective repeated measures longitudinal cohort design was used. Patients initiating treatment with a buprenorphine product indicated for OUD were identified from the 2016-2018 Texas Prescription Monitoring Program. The predictor of interest-switching pharmacies-was defined by comparing the dispensaries used between subsequent prescriptions. The outcome of interest was defined as a gap in medication possession of 7 days or longer on the basis of the National Quality Forum's definition of continuity of pharmacotherapy for OUD. A generalized estimating equation approach was used to estimate a repeated measures logistic regression measuring the association between switching pharmacies and a gap in therapy. RESULTS: Of 13,375 eligible patients, 29.6% switched pharmacies at least once during treatment, and 51.6% of these did so more than once. The median time to initial switch was 30 days (interquartile range: 13-66 days). When patients switched pharmacies, they were significantly more likely to have a gap in therapy of between 7 and 29 days (adjusted odds ratio 1.67 [95% CI 1.57-1.78]). CONCLUSION: Patients receiving buprenorphine switch pharmacies early and frequently in treatment, which leads to clinically significant gaps in therapy. Although qualitative explanatory work is needed to understand why patients switch pharmacies so often, pharmacists and prescribers must ensure that patients have reliable access to a convenient source of buprenorphine to prevent gaps in therapy.

Patient-reported barriers to statin adherence: Excerpts from a motivational interviewing intervention in older adults.

OBJECTIVE: Despite a known benefit in the reduction of cardiovascular risk, adherence to statins remains suboptimal. A qualitative analysis was conducted within an intervention that identified trajectories of statin adherence in patients and used motivational interviewing (MoI) to improve adherence. The objective of this qualitative study was to evaluate transcripts of an MoI telephonic intervention to identify potential, past, and current barriers to statin adherence and barriers specific to distinct adherence trajectories. METHODS: The MoI intervention was customized by past 1-year adherence trajectories (rapid discontinuation, gradual decline, and gaps in adherence). Two authors independently extracted and documented barriers from phone transcripts. Themes were derived from literature a priori and by cataloging recurring themes from the transcripts. RESULTS: The transcripts of calls made to 157 patients were reviewed of which 25.2% did not communicate a specific adherence barrier despite falling into a low-adherence trajectory when examining refill data. The most commonly reported barriers to statin adherence included adverse effects (40.1%), forgetfulness (30.0%), and lack of skills or knowledge pertaining to statins (25%). More patients in the rapid discontinuation group perceived medication as unnecessary, whereas more patients in the gaps in adherence group reported a communication barrier with their health care provider. Several barriers among patients who fell into low-adherence trajectories were reported. Some patients did not report any barriers, which may have indicated denial. MoI phone calls were useful in providing knowledge, clarifying medication regimens, and reinforcing the need to take statins. CONCLUSION: This study identified patient-reported barriers to statin adherence elicited during an MoI telephonic intervention conducted by student pharmacists. There were differences in barriers reported by patients from each trajectory, which emphasize the need for additional tailored interventions to improve patient adherence.

Group-Based Trajectory Modeling to Identify Patterns of Adherence and Its Predictors Among Older Adults on Angiotensin-Converting Enzyme Inhibitors (ACEIs)/Angiotensin Receptor Blockers (ARBs).

PURPOSE: Commonly prescribed medications among patients with comorbid diabetes mellitus and hypertension include ARBs and ACEIs. However, these medications are associated with suboptimal adherence leading to inadequately controlled blood pressure. Unlike traditional single estimates of proportion of days covered (PDC), group-based trajectory modeling (GBTM) can graphically display the dynamic nature of adherence. The objective of this study was to evaluate adherence using GBTMs among patients prescribed ACEI/ARBs and identify predictors associated with each adherence trajectory. PATIENTS AND METHODS: Patients with an ACEI/ARBs prescription were identified between July 2017 and December 2017 using a Medicare Advantage dataset. PDC was used to measure monthly patient adherence during the one-year follow-up period. The monthly PDC was added to a logistic group-based trajectory model to provide distinct patterns of adherence. Further, a multinomial logistic regression was conducted to determine predictors of each identified adherence trajectory. Predictors included various socio-demographic and clinical patient characteristics. RESULTS: A total of 22,774 patients were included in the analysis and categorized into 4 distinct adherence trajectories: rapid decline (12.6%); adherent (58.5%); gaps in adherence (12.2%), and gradual decline (16.6%). Significant predictors associated with all lower adherence trajectories included 90 days refill, >2 number of other medications, ≥1 hospitalizations, and prevalent users. Significant predictors associated with the rapid decline trajectory included male sex, comorbidities, and increased CMS risk score. Further, significant predictors associated with the gaps in adherence trajectory included increasing age, and comorbidities. Lastly, significant predictors associated with the gradual decline trajectory included increasing age, no health plan subsidy, comorbidities, and increasing CMS risk score. CONCLUSION: Identifying various patient characteristics associated with non-adherent trajectories can guide the development of tailored interventions to enhance adherence to ACEI/ARBs.

Examination of physicians' adherence to the 2013 ACC/AHA statin/cholesterol guidelines using a framework of awareness to adherence: A cross-sectional study.

BACKGROUND: Currently, limited data exists regarding primary care physicians' awareness and implementation of the 2013 cholesterol guidelines. OBJECTIVES: To evaluate primary care physicians' adherence to the 2013 ACC/AHA cholesterol management guidelines using the framework of the awareness-to-adherence model. METHODS: The study was a cross-sectional pre-post survey design based on the constructs of the awareness-to-adherence model to capture physicians' awareness of, agreement with, adoption of, and adherence to the 2013 ACC/AHA guidelines for cholesterol treatment and statin and cholesterol management software applications. Physicians with a Medicare Advantage organization in Texas were surveyed before and after educational interventions. RESULTS: A total of 170 responses were considered usable (post-survey). A significant difference was observed when physicians were divided into 2 groups (any intervention vs no intervention) (P = .027). Physicians with a higher level of agreement were 4.8 times more likely to be adherent to the guidelines (P = .011), compared with those with a lower level of agreement. Also, physicians practicing in the Rio Grande Valley area were 4.7 times more likely to be adherent to the guidelines (P = .001) compared with those from the Greater Houston area. CONCLUSION: A high level of awareness, but a lower level of adherence to the guidelines was reported among responding physicians. The awareness-to-adherence model was useful in examining physicians' level of adherence to the cholesterol guidelines and the utilization of statin and cholesterol management cellular apps and online websites. Future studies are required to examine physicians' adoption and adherence of new guidelines.

Using the Theory of Planned Behavior to Evaluate Factors That Influence PharmD Students' Intention to Attend Lectures.

Objective. To use the theory of planned behavior (TPB) to evaluate the contribution of attitude, subjective norm, and perceived behavioral control in predicting students' intention to attend class lectures in a Doctor of Pharmacy (PharmD) curriculum in which lecture recordings were available. Methods. A survey instrument based on the TPB was developed from focus groups with PharmD students. The survey was then distributed to first through third year students at the conclusion of the 2017-2018 academic school year. Respondents were asked to evaluate their beliefs regarding lecture attendance and their intention to attend lectures during the upcoming fall semester. Predictors of intention were evaluated using descriptive statistics and multiple logistic regression analyses. Results. Responses from 198 of 383 students contained usable data (52% effective response rate). The TPB constructs of attitude and subjective norm were predictors of high intention to attend lectures. Students with a positive attitude towards lecture attendance (eg, believed that purposeful active learning is desirable and occurs during class) were nearly 30% more likely to have high intention to attend lectures. Students with a positive subjective norm (ie, perceived social pressure from professors and classmates to attend lectures) were 66% more likely to have high intention to attend lectures. Perceived behavioral control was not associated with high intention to attend lectures. Conclusion. Interventions aimed at improving students' attitudes and subjective norm may be beneficial in improving students' intention to attend class lectures.

Applying the capability, opportunity, motivation, and behavior model to identify opportunities to increase pharmacist comfort dispensing naloxone in Texas: A structural equation modeling approach.

BACKGROUND: The prevalence of opioid use and misuse in the United States contributed to 48,000 opioid related deaths in 2018. Naloxone, a potent opioid reversal agent, can be dispensed by pharmacists without a prescription, however few do so. Previous studies on naloxone dispensing have contributed to our understanding of the determinants of naloxone in community pharmacy, however, none have focused on comprehensive behavioral change. This study utilized the Capability, Opportunity, Motivation, and Behavior (COM-B) model, a behavioral change and intervention design framework, to examine community pharmacists' comfort dispensing naloxone. METHODS: A 48-item questionnaire grounded in the COM-B and theoretical domains framework was developed and mailed to 1,000 community pharmacists in Texas, USA using a modified Dillman cross-sectional survey design. Confirmatory factor analysis was used to refine and establish dimensionality of the hypothesized scales and structural equation modeling was used to estimate the fit of the COM-B in explaining pharmacists' comfort dispensing naloxone. RESULTS: The usable response rate was 19.4%. Of surveyed pharmacists, 29.7% had ever had a patient request naloxone and 35.1% had dispensed naloxone without a prescription. Capability and opportunity explained 60% of the variance in motivation. Opportunity and motivation were the most salient predictors of comfort dispensing naloxone. Together, capability, opportunity, and motivation explained 78.1% of variance in pharmacists' comfort dispensing naloxone, indicating that the COM-B model is useful in this setting. CONCLUSION: Despite previous findings, policy interventions to increase naloxone dispensing should go beyond providing additional education to the pharmacy workforce. Rather, these results suggest that a complex intervention designed with pharmacist input that enables them to act autonomously and evaluate whether patients need naloxone may increase their comfort dispensing. Without collaboration from pharmacy and managed care corporations, dissemination efforts will continue to be limited.

Differences between pharmacists' perception of counseling and practice in the era of prescription drug misuse.

OBJECTIVE: This study was conducted to assess pharmacists' practices when counseling patients on their prescription medications, and their preferences for training. METHODS: Five focus group discussions of community pharmacists (n=45, with seven to eleven participants in each group) were conducted in a major metropolitan city in the southern United States. Participants were recruited via email using a list of community pharmacists provided by the Texas State Board of Pharmacy. All focus group discussions were structured using a moderator guide consisting of both discrete and open-ended questions. Qualitative analysis software was used to analyze the data with a thematic analysis approach. RESULTS: The participants in this study had a high self-efficacy regarding their ability to counsel on both new and opioid prescriptions. Many pharmacists experienced the same barriers to counseling and agreed on the components of counseling. However, the themes that emerged showed that the participants exhibited only a partial understanding of the components of counseling. The themes that emerged in the thematic analysis were perceived confidence and discordant counseling practices, inadequate infrastructure, lack of comprehensive counseling, inconsistent use of the Prescription Drug Monitoring Program (PDMP), and pharmacists' desired training/assistance. CONCLUSIONS: Community pharmacists are in a unique position to help combat the opioid crisis; however, there has been very little research on the pharmacist-patient interaction in this context. With policy changes, such as the PDMP mandate, going into effect across the country, it is important to capitalize on the potential community pharmacists have in ameliorating the opioid crisis in the United States.

Differences between pharmacists' perception of counseling and practice in the era of prescription drug misuse

OBJECTIVE: This study was conducted to assess pharmacists' practices when counseling patients on their prescription medications, and their preferences for training. METHODS: Five focus group discussions of community pharmacists (n=45, with seven to eleven participants in each group) were conducted in a major metropolitan city in the southern United States. Participants were recruited via email using a list of community pharmacists provided by the Texas State Board of Pharmacy. All focus group discussions were structured using a moderator guide consisting of both discrete and open-ended questions. Qualitative analysis software was used to analyze the data with a thematic analysis approach. RESULTS: The participants in this study had a high self-efficacy regarding their ability to counsel on both new and opioid prescriptions. Many pharmacists experienced the same barriers to counseling and agreed on the components o counseling. However, the themes that emerged showed that the participants exhibited only a partial understanding of the components of counseling. The themes that emerged in the thematic analysis were perceived confidence and discordant counseling practices, inadequate infrastructure, lack of comprehensive counseling, inconsistent use of the Prescription Drug Monitoring Program (PDMP), and pharmacists' desired training/assistance. CONCLUSIONS: Community pharmacists are in a unique position to help combat the opioid crisis; however, there has been very little research on the pharmacist-patient interaction in this context. With policy changes, such as the PDMP mandate, going into effect across the country, it is important to capitalize on the potential community pharmacists have in ameliorating the opioid crisis in the United States

No disponible

Warfarin vs. apixaban in nonvalvular atrial fibrillation, and analysis by concomitant antiarrhythmic medication use: A national retrospective study.

BACKGROUND: No real-world data exist on outcomes in patients on anticoagulants and concomitant antiarrhythmic medications. This study aims to compare the safety and effectiveness of apixaban and warfarin, first in patients with nonvalvular atrial fibrillation (NVAF) and then in patients on concurrent antiarrhythmic medications. METHODS: A retrospective cohort study was conducted using a large US electronic medical record database (2012-2016). Patients with NVAF on warfarin or apixaban were included. The primary endpoint was a composite of stroke (ischemic or hemorrhagic) or systemic embolism. The primary safety endpoint was major bleeding (ISTH definition). Patients were matched using propensity scoring. Univariate survival analyses were conducted by using the log-rank test and Kaplan-Meier survival curves. A subgroup analysis was conducted to assess outcomes on patients on concurrent antiarrhythmic medications. RESULTS: A total of 332 100 patients with NVAF were identified, and 20 378 were included in the propensity-matching analysis. No baseline differences were seen in age, comorbidities, or CHA 2 DS 2-VASc score. The primary endpoint occurred in 122 (1.2%) patients on apixaban compared to 166 (1.63%) on warfarin (hazard ratio, 0.84; 95% confidence interval [CI], 0.79-0.88). Major bleeding occurred at a lower rate in the apixaban group (n = 600, 5.89%) compared to warfarin (n = 887, 8.71%) (odds ratio, 0.65; 95% CI, 0.58-0.73). In patients on concurrent antiarrhythmic medications (n = 2498), there was no difference in thrombotic (1.04% vs. 1.37%; P = 0.42) or bleeding events (5.29% vs. 6.89%; P = 0.08). CONCLUSION: Apixaban was associated with reduced stroke/systemic embolism and bleeding when compared with warfarin. No difference was seen in thrombotic or bleeding events in patients on concurrent antiarrhythmic medications.

Enhancing Statin Adherence Using a Motivational Interviewing Intervention and Past Adherence Trajectories in Patients with Suboptimal Adherence.

BACKGROUND: Statins have been shown to be effective in reducing the occurrence of cardiovascular (CV) events and are widely prescribed for the risk reduction of CV diseases and recurrent CV events. However, poor adherence prevents some patients from receiving the maximum benefit of the therapy. Motivational interviewing (MoI) is a patient-centered collaborative approach that can be used to improve medication adherence. Group-based trajectory modeling depicts patterns of adherence over time and may help tailor the MoI intervention to further enhance adherence. OBJECTIVE: To assess the effect of a phone-based MoI intervention tailored by patients' past adherence trajectory in improving adherence to statins among patients in a Medicare Advantage prescription drug plan (MAPD). METHODS: Patients continuously enrolled in an MAPD from 2013 to 2017 with a statin prescription between January and June 2015 to allow 2 years of pre-index period and 1 year of follow-up were included in the study. Adherence to statins was measured monthly during the 1-year follow-up as proportion of days covered (PDC) and incorporated into a group-based trajectory model to provide 4 distinct patterns of adherence: adherent, rapid decline, gradual decline, and gaps in adherence. Patients in the 3 nonadherent groups were randomized to either control or intervention. The intervention was an initial counseling call and up to 2 monthly follow-up calls by pharmacy students trained in MoI, providing education consistent with a previously identified pattern of use. Refill data at 6 months post-intervention were evaluated to examine the intervention's effect on PDC, as continuous and dichotomized as PDC ≥ 0.8, as well as discontinuation. Multivariable regression adjusted for baseline demographics, clinical characteristics, and past adherence trajectory. RESULTS: There were 152 patients included in the analysis who received MoI phone calls and 304 randomly selected controls. Mean PDC for the intervention group (0.67 ± 0.3) was significantly higher than the control (0.55 ± 0.4; P < 0.001). The intervention group was also less likely to discontinue (OR = 0.38; 95% CI = 0.19-0.76) and more likely to be adherent in the linear regression model (ß = 12.4; P < 0.001) as well as in the logistic regression model (OR = 1.87; 95% CI = 1.18-2.95). Previous adherence trajectories were significantly associated with adherence in the follow-up. CONCLUSIONS: Patients who received the MoI intervention were more likely to be adherent and less likely to discontinue the statin in the 6 months follow-up compared with controls. Future research can identify other approaches to tailor interventions and expand the intervention to other languages. This intervention may also prove valuable to improve adherence to other medications for chronic and asymptomatic diseases. DISCLOSURES: This study was funded by Regeneron Pharmaceuticals, which provided critical input during study design, implementation, and manuscript preparation. Abughosh reports grants from Sanofi, BMS/Pfizer, and Valeant Pharmaceuticals, unrelated to this study. Vadhariya reports a past internship at Regeneron Pharmaceuticals, unrelated to this study. Esse, Serna, and Gallardo are employees of CareAllies, a Cigna subsidiary. Boklage is an employee of Regeneron Pharmaceuticals. Choi was an employee of Sanofi during this study. Johnson, Essien, Fleming, and Holstad have nothing to disclose. A poster based on this study was presented at AMCP Nexus 2018; October 22-25, 2018; Orlando, FL.

Health care practitioner counseling encourages disposal of unused opioid medications.

OBJECTIVE: The objective of this study was to estimate the association between health care practitioner counseling on medication disposal and disposal of unused opioid medications. DESIGN: A 41-item survey instrument was created and administered to a nationally representative panel of adult opioid users with chronic pain using a cross-sectional, internet survey design via Qualtrics®. PARTICIPANTS: Four hundred adult opioid users with chronic pain were randomly selected from the Qualtrics® panel-base to participate. SETTING: United States. OUTCOME MEASURES: The dependent variable, disposal of unused opioid medications, was assessed with a single item asking participants how often they had disposed of unused opioid medications in the past year. Multiple logistic regression was used to assess the association between opioid disposal and the receipt of health care practitioner counseling on medication disposal. RESULTS: A total of 400 surveys were completed. Participants were mostly white (70.8%) and under the age of 40 (54.1%). Less than one-half of all participants (44.5%) had disposed of opioid medications in the past year, while 60.75% had received health care practitioner counseling on disposal. Of those counseled, only 21.4% were counseled by a pharmacist. Flushing medication down the toilet (33%) was the most common method of opioid disposal. After adjustment for covariates, those who received health care practitioner counseling were more likely to have disposed of opioid medications in the past year (adjusted odds ratio 1.66, 95% CI 1.03-2.69). CONCLUSIONS: Participants who received counseling on opioid disposal were more likely to have disposed of unused opioid medications. Pharmacists are uniquely positioned to counsel patients on opioid disposal and thus must be active in preventing harm and diversion due to improperly stored opioid medications. This study demonstrates the need for enhanced provider education and policy to ensure that patients are adequately counseled on proper opioid disposal.

Drug Enforcement Administration Rescheduling of Hydrocodone Combination Products Is Associated With Changes in Physician Pain Management Prescribing Preferences.

Due to rising misuse, the Drug Enforcement Administration (DEA) moved hydrocodone combination products (HCPs) from DEA Schedule III to DEA Schedule II in October 2014. Aside from increasing regulatory scrutiny, rescheduling may have increased the administrative burden surrounding HCP prescribing. This study explored how HCP rescheduling and associated administrative barriers may have affected physician treatment of acute (aNCP) and chronic (cNCP) noncancer pain. To this end, physician members of the Texas Medical Association completed a self-administered online questionnaire. Pharmacotherapy treatment plan was measured with two questions asking physicians whether they were more likely to recommend HCPs, acetaminophen/codeine (APAP/codeine), nonsteroidal anti-inflammatory drugs (NSAIDs), tramadol, or other agents for the treatment of aNCP and cNCP. Two Likert-scaled items were used to assess administrative burden. In total, 1365 physicians responded (response rate = 15.39%). Physicians more frequently selected APAP/codeine (37%) for aNCP and tramadol (44%) for cNCP. A majority (78.8%) of physicians agreed that rescheduling led to modified prescribing, and those in agreement were significantly less likely than those who disagreed to prescribe HCPs for aNCP (24.2% vs. 56.4%; χ2 = 68.6, P < .001) and cNCP (16.9% vs. 37%; χ2 = 36.1, P < .001). Rescheduling and associated administrative burden are both associated with modified physician HCP prescribing in both aNCP and cNCP.

Group-Based Trajectory Models to Identify Sociodemographic and Clinical Predictors of Adherence Patterns to Statin Therapy Among Older Adults.

BACKGROUND: The benefits of statins in the prevention of primary and secondary atherosclerotic cardiovascular (CV) disease events have been well documented. Suboptimal adherence is a persistent problem associated with increased CV events and increased healthcare utilization. Proportion of days covered (PDC) is widely used to measure medication adherence, and provides a single value that does not adequately depict different adherence behavior patterns. Group-based trajectory modeling has been used to identify adherence patterns (or trajectories) over time. The identification of characteristics unique to each pattern can help in the early identification of patients who are likely to be poor adherents and can inform the development of interventions. OBJECTIVES: To identify distinct trajectories of statin adherence in patients enrolled in a Medicare Advantage plan and the sociodemographic and clinical predictors associated with each trajectory. METHODS: Patients were included in the study if they were continuously enrolled in a Medicare Advantage plan between 2013 and 2016 and had a statin prescription between January 2015 and June 2015. We observed each patient for 360 days and computed the monthly PDC. The monthly PDC was incorporated into a group-based trajectory model to provide distinct patterns of adherence. Using group-based trajectory modeling, the patients were categorized into groups based on their adherence patterns. Multinomial logistic regression was performed to identify the sociodemographic and clinical factors associated with each group. RESULTS: A total of 7850 patients were included in the analysis and were categorized into 4 distinct groups based on statin adherence-rapid discontinuation (7.8%), gradual decline (16.8%), gaps in adherence (17.2%), and high or nearly perfect adherence (58.2%). Significant predictors of being placed into one or more of the low-adherence trajectories compared with the high-adherence trajectory included sex, age, low-income subsidy, language, Charlson Comorbidity Index score, statin intensity, and 90-day refills. CONCLUSIONS: The predictors identified in this study provide valuable insight into patient characteristics that increase the risk for statin nonadherence, which has the potential to inform targeted interventions. Identifying patient trajectories can inform the future development of protocols to individualize appropriate interventions for these patients.