Adherence to concomitant diabetes, hypertension, and hyperlipidemia treatments among older patients.

BACKGROUND: Diabetes, hypertension, and hyperlipidemia have been identified as common modifiable risk factors of cardiovascular disease, frequently occurring together, especially among older people. Medication adherence to concomitant triple therapy is of vital importance among this population. OBJECTIVES: The objective of the current study was to examine adherence to concurrent oral antidiabetics, renin-angiotensin system antagonists, and statins (triple therapy) among older patients and further evaluate the predictors associated with adherence to concurrent triple therapy among older patients. METHODS: Patients on concurrent triple therapy were identified using a Texas Medicare Advantage dataset. Patients had to have an overlap of 30 days of triple therapy and a second prescription of each component of triple therapy within the identification period. Medication adherence was measured using Proportion of Days Covered during the 1-year follow-up period to determine different adherence groups. A multinomial logistic regression was further conducted to determine various demographic and clinical factors associated with each adherence group. RESULTS: The final patient cohort comprised 7847 patients. Of these, 68.05% were adherent to triple therapy, 21.43% were adherent to double therapy, and 10.51% were adherent to monotherapy or none. Compared with the triple therapy adherent group, females had a higher likelihood of being in the triple therapy nonadherent groups, while a refill of 90 days or more and prevalent use of triple therapy was associated with a lower likelihood of being in the triple therapy nonadherent groups. Finally, predictors associated with the adherent to monotherapy or none group included older age and a higher number of total other medications. CONCLUSION: Adherence to triple therapy among older patients was 68.05%, and several demographic and clinical factors were associated with the different adherence groups.

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.

Evaluating trajectories of statin adherence after a motivational interviewing intervention.

OBJECTIVE: The objective of the current study was to compare postintervention adherence trajectories with preintervention trajectories for those receiving a telephonic motivational interviewing (MoI) intervention to determine predictors associated with each distinct postintervention trajectory and any association between pre- and postintervention trajectories. DESIGN: Retrospective study design using group-based trajectory modeling. SETTINGS AND PARTICIPANTS: A telephonic MoI intervention was conducted by trained student pharmacists to improve statin adherence in a Medicare Advantage plan. Four preintervention adherence trajectories were previously identified: rapid decline (RD), gradual decline (GD), gaps in adherence (GA), and adherent and were used to customize the MoI intervention. Patients from the 3 nonadherent preintervention trajectories were randomized to control or intervention groups and were followed for 6 months from the date of MoI intervention. OUTCOME MEASURES: Group-based trajectory modeling was performed to identify 3 relevant postintervention trajectories. Descriptive statistics were used to assess differences in pre- and postintervention adherence trajectories. Multinomial logistic regression was conducted to determine predictors associated with each identified postintervention trajectory. RESULTS: There were 152 intervention patients and 304 randomly selected controls. The prominent postintervention trajectories that were identified differed from the preintervention trajectories and were (1) GD (17.2%), (2) adherent (61.9%), and (3) discontinuation (20.9%). Among the intervention group, more patients in the GA preintervention trajectory (58.65%) moved to the adherent trajectory postintervention than those in the RD and GD preintervention trajectories. Furthermore, the predictors associated with the postintervention trajectories included MoI intervention, prescriber specialty, presence of diabetes, presence of congestive heart failure, Centers for Medicare & Medicaid Services risk score, and preintervention trajectories. CONCLUSION: The postintervention adherence trajectory patterns differed from the preintervention trajectory patterns with many patients moving into an adherent trajectory especially among those receiving the intervention.

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).

Evaluating adherence to concomitant diabetes, hypertension, and hyperlipidemia treatments and intermediate outcomes among elderly patients using marginal structural modeling.

PURPOSE: Medication adherence to concomitant oral antidiabetics, statins, and renin-angiotensin system (RAS) antagonists (triple therapy) is vital to manage glycated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C) control among patients with comorbid diabetes, hyperlipidemia, and hypertension. The objective of the current study was to evaluate the association between adherence to concomitant triple therapy and A1C as well as LDL-C outcomes, among elderly patients using marginal structural modeling. METHODS: A retrospective cohort study with patients on concurrent triple therapy was conducted using a Texas Medicare Advantage database from January 2016 until December 2019. Medication adherence to concurrent triple therapy was measured every 6 months using proportion of days covered (PDC) to determine the different adherence groups. A1C and LDL-C control was also measured every 6 months. A marginal structural model controlling for baseline covariates and time-varying confounders affected by prior adherence was conducted to evaluate the association between adherence to concomitant triple therapy and A1C and LDL-C control. RESULTS: The LDL-C cohort was comprised of 4803 patients and the A1C cohort was comprised of 5314 patients on triple therapy. Patients who were adherent to triple therapy [odds ratio(OR):1.84, 95% confidence interval (CI): 1.62-2.10] and adherent to double therapy (OR:1.42, 95% CI: 1.24-1.62) were more likely to have their LDL-C in control as compared to patient's adherent to monotherapy/none. Similarly, patients who were adherent to triple therapy (OR:1.30, 95% CI: 1.11-1.52) and adherent to double therapy (OR:1.32, 95% CI: 1.12-1.55) were more likely to have their A1C in control as compared to patient's adherent to monotherapy/none. CONCLUSION: The current study demonstrated the beneficial effects of adherence to concurrent oral antidiabetics, statins, and RAS antagonists among elderly patients in a real-world setting.

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.

Factors Associated with Entering the Prescription Drug Coverage Gap Among Medicare Beneficiaries with Chronic Obstructive Pulmonary Disease.

Patients with chronic obstructive pulmonary disease (COPD) need long-term use of COPD medications to manage their conditions. However, COPD patients enrolling in Medicare Advantage plans (MAPs) may enter the coverage gap, resulting in increasing financial burden. The purpose of this study was to identify characteristics of COPD patients who enter the Medicare coverage gap and the factors associated with time to enter the coverage gap. A retrospective cross-sectional study was conducted using a Texas MAP database between 2011 and 2014. Patients aged ≥65 years with a diagnosis of COPD and taking medication to treat COPD were included. Patients were divided into mainly 2 groups: "no gap" versus "gap," based on their pharmacy outpatient spending. Within "gap," patients were further categorized into "coverage gap" and gap with "catastrophic coverage." Multinomial logistic regression was conducted to identify characteristics associated with reaching "coverage gap" and "catastrophic coverage." Cox proportional hazards were performed to evaluate factors associated with time to reaching "coverage gap." A total of 3142 COPD patients were identified: "no gap" (79%) and "gap" (21%). Among patients in "gap," 51% fell into "catastrophic coverage." Age, low-income subsidy (LIS) level, and Centers for Medicare & Medicaid (CMS) risk score were significant factors associated with entering both "coverage gap" and "catastrophic coverage." Younger age, greater CMS risk score, and higher LIS benefit were associated with a higher hazard ratio of reaching the coverage gap. These characteristics may assist health maintenance organizations to identify beneficiaries who can potentially be provided with services with or without counseling on drug utilization.

Impact of a motivational interviewing intervention targeting statins on adherence to concurrent hypertension or diabetes medications.

OBJECTIVE: This study explored if a motivational interviewing intervention customized for statins impacted adherence to concomitantly used antidiabetic/antihypertensive medications. METHODS: The intervention was conducted among patients with a history of suboptimal adherence to statins and included 152 patients in intervention and 304 controls. This retrospective study design identified patients with claims for statins and either antidiabetic/antihypertensive medications. The outcome variable was adherence, measured as proportion of days covered ≥ 0.80, to antidiabetic/antihypertensive medications. Multivariable linear and logistic regression evaluated the effect of intervention on adherence to antidiabetic/antihypertensive medications during the 6 months post-intervention. RESULTS: The antidiabetic group had 53 intervention patients and 102 controls. The antihypertensive group had 80 intervention patients and 159 controls. There was no significant improvement in adherence for antidiabetic/antihypertensive medications following the intervention. Adherence at baseline was a significant predictor of adherence post-intervention in the antidiabetic (OR = 6.5;P < 0.0001) and antihypertensive (OR = 4.1; P = 0.0001 & ß = 0.09; P = 0.008) users. Physician specialty (OR = 3.902; P = 0.01& ß = 0.09; P = 0.015) among antidiabetic users and age >70 years (OR = 2.148; P = 0.025) among antihypertensive users were predictors of adherence. CONCLUSION: The intervention targeting statin did not significantly improve antihypertensive/antidiabetic adherence. PRACTICE IMPLICATIONS: Targeted interventions tailored to patient past adherence and specific medications should be explored.

Cost-effectiveness analysis of antihypertensive triple combination therapy among patients enrolled in a Medicare advantage plan.

OBJECTIVE: To assess the cost-effectiveness of single pill fixed dose triple combination therapy vs. free triple combination therapy for the prevention of cardiovascular events among patients with hypertension. METHODS: A Markov model with a five year cycle was constructed. Two decision models incorporating strict and more relaxed adherence definitions estimated quality adjusted life years (QALYs) and health-care costs for single pill fixed triple combination therapy vs. free-drug combination therapy. RESULTS: When the strict adherence measurement criteria were applied, the total QALYs loss and cost/patient were 6.38 QALYs, $486,026.20 for the single pill triple combination therapy and 8.64 QALYs, $406,405.26 for the free combination therapy. ICER for single pill combination therapy compared to free combination therapy was 33,826.46/QALY. When the relaxed adherence measurement criteria were applied, the total QALYs loss and cost/patient were 8.09 QALYs, $493,404.26 for the single pill triple combination therapy and 8.76 QALYs, $436,415.14 for the free combination therapy. ICER for single pill combination compared with free combination therapy was 84,932.26. CONCLUSION: This study suggested that single pill triple combination therapy was cost-effective in comparison with free combination therapy under a willingness to pay threshold of 50,000 when the strict adherence measurement criteria was applied.

Evaluating perceptions of social determinants of health and Part D star performance of Medicare Advantage-contracted primary care providers serving a South Texas market.

BACKGROUND: Socioeconomic factors can have a significant impact on a patient's health status and could be responsible for as much as 70%-80% of a patient's overall health. These factors, called the social determinants of health (SDoH), define a patient's day-to-day experiences. While the influence of such factors is well recognized, who ultimately is responsible for addressing SDoH in health care remains unclear. Physicians and other clinicians are suitably placed to assess SDoH factors that can impact clinical decision making. Understanding Medicare Advantage (MA)-contracted primary care provider (PCP) SDoH perceptions has yet to be fully explored. OBJECTIVES: To (a) understand MA-contracted PCP perceptions of SDoH and (b) investigate correlations between PCP perceptions and their CMS Part D star performances, as well as their hospital admissions and emergency room admissions. METHODS: Survey data were collected from MA-contracted PCPs serving a South Texas market during 2019. An 8-item survey consisting of short answer, ranking, and multiple-choice questions was deployed at attendance-mandatory provider meetings from August to October. Analyses were conducted to understand the providers' SDoH perceptions. PCP responses were first summarized as frequencies and percentages. Baseline descriptive characteristics of the providers were compared by Medicare star ratings using chi-square tests (for categorical variables) and t-tests (for continuous variables). Group differences in physician beliefs on how SDoH affects patients' overall health (question 1), as well as provider beliefs regarding how SDoH affects patients' medication adherence practices (question 2), were assessed using chi-square and t-tests. Associations of provider SDoH perceptions with hospital admissions and emergency room admissions were also assessed. A Fischer's chi-square test was used to examine associations between how PCPs answered the question regarding lack of consistent transportation (question 3) and emergency room admissions. The relationships between PCP perceptions of whose job it is to address SDoH (question 7) and hospital admissions were also evaluated. RESULTS: The response rate for returned surveys was 89%. Analysis revealed that the top 3 barriers were financial insecurity (24.87%), low health literacy (18.65%), and social isolation (15.03%). However, about 36% of PCPs felt they should be the primary addressor of SDoH. There was a significant association between years of practice and CMS Part D star ratings (P = 0.005). A significant association between responses in belief towards patients' overall health and CMS Part D star ratings was examined (P = 0.047). There was a statistically significant difference in mean hospital admissions with PCP perception of who should address SDOH (P = 0.03). Emergency room admissions was significantly associated with perceptions regarding lack of consistent transportation (P = 0.04). No differences with star ratings were observed. CONCLUSIONS: Previous literature recognize safety and food insecurity as key SDoH barriers. However, they were not among the top SDoH barriers in our survey. Future research should examine patient perceptions of SDoH in this population to identify ways providers can better serve their patients. DISCLOSURES: Funding for this study was provided by CareAllies, a Cigna business. Statistical analysis was completed in partnership with the University of Houston. Payne, Esse, Qian, Serna, Villarreal, and Becho-Dominguez are employees of CareAllies. Mohan and Abughosh are employed by the University of Houston College of Pharmacy. Abughosh reports grants from Valeant and Regeneron/Sanofi, unrelated to this work. Vadhariya has nothing to disclose. This research was presented virtually at the AMCP Pharmacist Virtual Learning Days event, April 2020, as well as the American College of Clinical Pharmacy Virtual Poster Symposium, May 26-27, 2020.

Medication Use Before and After Hospitalization for Chronic Obstructive Pulmonary Disease in a Cohort of Elderly Patients with a Medicare Advantage Plan.

BACKGROUND: Several medications, including long-acting bronchodilators (LABDs), are critical to the management of chronic obstructive pulmonary disease (COPD). Clinical guidelines recommend the initiation of an LABD for COPD posthospitalization to prevent exacerbations. COPD can limit a patient's exercise tolerance, mobility, and ability to work. Disease exacerbations resulting from inadequate treatment have contributed to increased medical costs and morbidity. OBJECTIVES: To analyze the prescription fills for COPD medications, especially LABDs, before and after COPD-related hospitalization, in elderly patients, and to evaluate factors associated with prescription fills of LABDs after COPD-related hospitalization. METHODS: This retrospective cohort study included patients with COPD aged ≥65 years who enrolled in Cigna-HealthSpring Medicare Advantage plans in Texas between 2011 and 2014. The index hospitalization was the first hospitalization with a primary diagnosis of COPD. Based on prescription fills within 180 days of the postindex discharge date, eligible patients were divided into 4 groups, by types of medication used. Prescription fills were compared during the 180-day preindex admission and 180-day postindex discharge. RESULTS: Of the 1352 patients included, 12% received LABDs and 26% received any COPD medication. The LABD group versus the no-LABD group and the COPD medication group versus the no-COPD medication group were more likely to have a higher Charlson Comorbidity Index (CCI) score. McNemar's tests indicated that the proportions of patients who filled any COPD medication prescription increased from before to after hospitalization. Overall, 69% of patients did not fill any COPD medication during the study period. Adjusted analysis indicated that patients with a higher CCI score who filled an LABD prescription or at least 1 other COPD medication within 180 days before hospitalization were more likely to fill an LABD prescription after hospitalization; filling an inhaled corticosteroid (ICS) prescription before hospitalization was associated with not filling an LABD prescription after hospitalization. CONCLUSIONS: Although filling an LABD and other COPD medications increased after hospitalization, the overall prescription fills for LABDs according to clinical guidelines was low in elderly patients. Patients with COPD who underutilized LABDs for maintenance therapy and relied more on ICSs before hospitalization were less likely to fill a prescription for an LABD after hospitalization. Future studies should evaluate patients' reasons for medication underutilization.

A retrospective study of drug utilization and hospital readmissions among Medicare patients with hepatic encephalopathy.

Hepatic encephalopathy (HE) is a complication occurring in patients with cirrhosis and is associated with neuropsychiatric and motor abnormalities. Symptomatic HE episodes almost always require hospitalization and the frequent recurrence of episodes is associated with poor prognosis and increased medical costs. The utilization of existing therapies for management of HE and adherence to them has yet to be evaluated using real-world claims data.The aim of this study was to evaluate HE drug regimens and adherence and their association with hospital readmissions in Medicare Advantage plan patients.This was a retrospective cohort study of patients discharged from a HE-related hospitalization or emergency room visit. Based on subsequent enrollment in the plan they were categorized into cohorts of 1 month, 3, and 6 months follow-up, and medication regimen was evaluated within the first month. The drugs evaluated included lactulose, rifaximin, and neomycin. Multivariable logistic regression was conducted to evaluate the association of drug regimen and medication adherence measured as proportion of days covered with HE readmissions.There were 347 patients hospitalized for HE with 184 patients having 30-day enrollment and either a drug refill or an outpatient visit in this duration. Medications were not refilled by 67 (36.4%) patients. Various drug regimens had different adherence with mean (standard deviation) proportion of days covered ranging from 0.56 (0.29) to 0.82 (0.16) at 3 months and 0.48 (0.3) to 0.77 (0.15) at 6 months. The results of logistic regression at 3 and 6 months did not show a significant association of medication use or medication adherence with hospital readmissions.Despite availability of therapy, medication utilization was alarmingly low after discharge of patients from HE-related hospitalization. Medication adherence was also low, which may affect the rate of recurrence and costs associated with readmissions. Efforts are needed in both care coordination of these patients to ensure they are prescribed appropriate medications and to enhance adherence to them.

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.

Evaluating Success Factors of a Medication Adherence Tracker Pilot Program in Improving Part D Medication Adherence Metrics in a Medicare Advantage Plan: Importance of Provider Engagement.

BACKGROUND: Health plans and providers can increase quality by improving adherence to chronic disease medications included in star ratings among Medicare Advantage Part D (MAPD) plan enrollees. Research is needed to evaluate effective means of collaboration between health plans and providers. The Medication Adherence Tracker (MAT) is a health plan initiative to help primary care providers use outreach to improve their patients' adherence. OBJECTIVE: To quantify the contribution of structural and process factors on the success of a health plan-initiated tracking system in improving chronic disease medication adherence over 6 months. METHODS: The MAT quality improvement initiative was carried out in South Texas from June to December 2016. Health plan pharmacists used claims data to identify MAPD enrollees at risk of nonadherence to triple-weighted star medications: renin-angiotensin system antagonists, oral diabetes medications, and statins. Actionable reports were delivered biweekly to each provider, either by fax or in person, by embedded health plan nurses. Multivariable regression was used to evaluate sociodemographic and clinical factors as well as the role of provider outreach in increasing paid pharmacy claims and medication adherence as measured by proportion of days covered (PDC) > 0.8. RESULTS: Of 3,542 patients in 5 Texas physician-organized delivery system groups whose 67 providers received tracking reports from June through December 2016, 1,901 (54%) patients had more than 1 related prescription, and 3,064 (87%) received provider outreach on at least 1 prescription. 2,493 (70%) had at least 1 paid pharmacy claim. Provider outreach was associated with greater likelihood of paid prescription claims (relative risk [RR] = 4.59, 95% CI = 3.74-5.62) and greater year-end adherence (PDC > 0.8, RR = 1.86, 95% CI = 1.63-2.12) in multivariable predictive models. 95% CIs for age, gender, low-income subsidy eligibility, and number of prescriptions did not exclude the null value. CONCLUSIONS: Provider engagement is critical to effective health plan-provider partnerships to overcome barriers, change behavior, and improve chronic disease care quality and population outcomes. DISCLOSURES: This study was funded by Cigna. The manuscript was prepared as a work for hire. Hong, Esse, Gallardo, Serna, Fosshat, and Mamvou are employees of CareAllies, a Cigna company. Bruce was employed by Cigna at the time of the study. Vadhariya reports a past internship at Regeneron Pharmaceuticals, unrelated to this work. Abughosh reports grants from Regeneron Pharmaceuticals, Valeant Pharmaceuticals, Sanofi, and BMS/Pfizer, unrelated to this work.

Risk of Cardiovascular Outcomes and Antihypertensive Triple Combination Therapy Among Elderly Patients with Hypertension Enrolled in a Medicare Advantage Plan (MAP).

OBJECTIVES: The aim was to evaluate the risk of cardiovascular-specific hospitalizations with different types of antihypertensive triple combination therapy among patients enrolled in a Medicare Advantage Plan (MAP). METHODS: A retrospective cohort study was conducted among patients with hypertension enrolled in a Texas MAP between January 2014 and December 2016. Antihypertensive combination therapy users were classified into three treatment groups: single-pill triple combination, fixed-dose dual combination plus a third agent, and free triple combination. Group differences were assessed using Chi-square tests for binary variables and Student's t tests for continuous variables. Cox proportional hazards model was performed to assess the association between type of combination therapy and risk of cardiovascular-specific hospitalization adjusting for potential confounders. RESULTS: A total of 10,836 triple combination users were identified. The risk of cardiovascular disease (CVD) hospitalization for the fixed-dose dual combination plus a third agent group [hazard ratio (HR) 3.82, 95% confidence interval (CI) 1.80-8.12] and for the free triple combination therapy group (HR 3.65, 95% CI 1.43-9.31) was significantly higher than for the single-pill triple combination group. CONCLUSION: Single-pill triple combination therapy was significantly associated with a lower risk of CVD hospitalizations in comparison to other types of triple combination therapy.

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.

Effectiveness of mailed letters to improve medication adherence among Medicare Advantage Plan participants with chronic conditions.

BACKGROUND: Medication adherence is associated with improved health outcomes in multiple chronic diseases. Information is needed on the effectiveness of specific adherence interventions. This study's objectives were to quantify effects of a targeted mailing intervention on adherence among older adults at risk for nonadherence, and to examine associations of individual and plan characteristics with adherence. MATERIALS AND METHODS: Among adults enrolled in a Medicare Advantage Plan with prescription drug coverage from May 2014 to June 2015, those identified as eligible for the mailing intervention had a late refill for oral antidiabetic medication, statin, angiotensin-converting enzyme inhibitor, or angiotensin receptor blocker medication and were previously unreachable by telephone. Pharmacy claims data were analyzed with the outcome of 6-month proportion of days covered (PDC) before and after the mailing. The t-test and chi-square analyses were used to evaluate univariate associations. Multivariable linear and logistic regression models were conducted to assess relative covariate effects. A sub-analysis of those with at least one medication fill post-mailing was also performed. RESULTS: A total of 460 non-adherent individuals aged 70±10.5 years, with 50.2% female and 66.7% white individuals, were included. Of those who were mailed a letter, 24.1% became adherent to the specified maintenance medication. Those who received >30-day supplies were more than twice as likely to become adherent after the mailed letter than those who received 30-day supplies or less (P<0.05). Baseline higher PDC was also associated with greater adherence post-mailing (P<0.01). A total of 284 (61.7%) individuals filled their medication at least once after the mailed letter; of those, 39.1% became adherent (mean [SD] change in PDC =0.15 [±0.28]). CONCLUSION: Our findings suggest that a single mailed letter improved medication adherence by 24.1% in adults with chronic conditions. As a health plan seeking to improve its customers' well-being and outcomes, Cigna continues to utilize targeted mail interventions to improve medication adherence.

Medication Adherence to Antihypertensive Triple-Combination Therapy Among Patients Enrolled in a Medicare Advantage Plan.

BACKGROUND: Approximately 32% (75 million) of adults have hypertension in the United States, leading to 1,100 daily deaths and costing more than $48 billion annually in medical expenditures. Approximately 25% of patients with hypertension require triple combination therapy to reach recommended blood pressure. Currently, only 3 single-pill triple-combination therapies are available in the market for the treatment of hypertension. Medication adherence has become a major concern for the health care system, and nonadherence is associated with higher risks of morbidity and mortality. OBJECTIVE: To compare medication adherence rates among single-pill triple-combination therapy, free triple-combination therapy, and fixed-dose dual-combination therapy plus a third agent in hypertensive patients enrolled in a Medicare Advantage prescription drug plan using 2 adherence definitions. METHODS: A retrospective cohort study was conducted using Cigna-HealthSpring's medical claims database from January 2014 to December 2016. Antihypertensive combination therapy users were classified into a single-pill triple-combination group, a fixed-dose dual-combination plus a third agent group, and a free triple-combination group. Adherence rates using proportion of days covered (PDC) were calculated for each group within a 1-year follow-up period using 2 definitions: a strict one requiring all antihypertensive agents during follow-up and a more relaxed definition requiring any antihypertensive agent during follow-up. Descriptive statistics were examined, and group differences were assessed using chi-square and analysis of variance. Multivariate logistic regression was conducted to control confounders of adherence using both definitions. RESULTS: 10,836 triple-combination users were identified. In the multivariate model using the first definition, fixed-dose dual-combination plus a third agent was significantly associated with lower adherence compared with single-pill triple therapy (OR = 0.177; 95% CI = 0.119-0.263; P < 0.001). No significant difference was detected between single-pill triple-combination therapy in comparison with free-combination therapy. In the multivariate model using the second definition, fixed-dose dual-combination plus a third agent and free-combination therapy were significantly associated with better adherence in comparison with single-pill triple combination therapy (OR = 3.62, 95% CI = 2.59-5.05; OR = 4.31, 95% CI = 2.15-8.64, respectively). Younger age, female gender, language (Spanish), some comorbidities, and previous hospitalization had a negative effect on adherence. CONCLUSIONS: Measuring adherence to multiple concurrent regimens is complicated and different adherence definitions can result in significant variations in adherence measures. Future research evaluating clinical outcomes with various definitions is needed. DISCLOSURES: No outside funding supported this study. Abughosh reports grants from Sanofi, Regeneron, Valeant Pharmaceuticals, BMS/Pfizer, and PhRMA, not related to this study. Serna reports employement with CareAllies, a Cigna company. The other authors have no conflicts of interest to disclose.

Effect of coverage gap on healthcare utilization among Medicare beneficiaries with chronic obstructive pulmonary disorder.

OBJECTIVE: To evaluate the association between the Medicare coverage gap with hospitalization, emergency room (ER) visits, and time to hospitalization in chronic obstructive pulmonary disease (COPD) patients. METHODS: Retrospective cohort study using data from a Medicare Advantage (MA) plan. Patients with ≥1 claim for COPD at baseline, ≥65 years, continuous 24-months enrollment and without any cancer/end stage renal disease diagnosis were eligible. Patients not reaching the coverage gap (no coverage gap) were matched and compared to those reaching the coverage gap and those reaching catastrophic coverage in separate analyses. Chi-square tests and Cox proportional hazards model were used to compare outcomes across matched cohorts. RESULTS: In total, 3142 COPD patients were identified (79% no coverage gap, 10% coverage gap, and 11% catastrophic coverage). Compared to the no coverage gap group, a larger number of beneficiaries in the coverage gap group had ≥1 hospitalization (26% vs 32%, p < .05), ≥ 1 ER visits (43% vs 49%, p < .05), and ≥1 hospitalization/ER (total visit) (47% vs 54%, p < .05), respectively. Compared to the no coverage gap group, a greater number of beneficiaries in catastrophic coverage had ≥1 ER visit (45% vs 53%, p < .05) or ≥1 total visits (48% vs 56%, p < .05), respectively. Time to hospitalization was shorter among those entering the coverage gap as compared to the no coverage gap [Hazards Ratio (HR) = 1.5; p = .040]. CONCLUSIONS: COPD patients entering the coverage gap and catastrophic coverage were associated with increased utilization of healthcare services. Entering the coverage gap was also associated with shorter time to hospitalization as compared to the no coverage gap.

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.