Chronic Medication Nonadherence and Potentially Preventable Healthcare Utilization and Spending Among Medicare Patients

Estimating the economic impact of blister-packaging on medication adherence and health care costs for a Medicare Advantage health plan

BACKGROUND

Medication nonadherence is a persistent challenge in the United States, leading to increased health care resource utilization (HCRU) and health care costs and worsened health outcomes. Medicare Star Ratings is a program developed by the Centers for Medicare and Medicaid Services (CMS) to evaluate Medicare health plan quality and performance. Three of the Medicare Part D Star Ratings quality measures assess medication adherence, showing the importance CMS places on improving medication adherence in older adults. Although a variety of medication adherence-enhancing interventions are available to help promote adherence among patients, one intervention that has shown success historically is blister-packaging.

OBJECTIVE

To model the potential impact of blister-packaging chronic medications on HCRU and health care costs in the Medicare population.

METHODS

An economic model was developed to assess the potential impact of blister-packaging the 3 Medicare Star Ratings adherence measure medication classes: renin-angiotensin system antagonists (RASAs), statins, and noninsulin antidiabetics. The model perspective was that of a hypothetical Medicare Advantage health plan with a plan size of 100,000 members. A 12-month time horizon was used in the model. The dichotomous adherence threshold in the model was set at 80% or greater of the proportion of days covered (PDC). Literature-based references were used to inform both the impact of blister-packaging on the number of patients who become adherent as well as the impact of medication adherence on HCRU and health care costs for each of the medication classes. One-way sensitivity analyses and several scenario analyses were conducted to assess model uncertainty.

RESULTS

Owing to increased adherence from the blister-packaging intervention, the hypothetical health plan in the analysis saw 776 additional members adherent to RASAs, 1,651 additional members adherent to statins, and 414 additional members adherent to oral antidiabetics. Although medication expenditure increased for all 3 medication classes (RASAs: $274,963; statins: $730,083; oral antidiabetics: $100,529), medical costs decreased across all classes (RASAs: -$4,098,848; statins: -$5,549,699; oral antidiabetics: -$917,968). Total net health care costs decreased by $3,823,885 for RASAs (-$3.19 per member per month [PMPM]), $4,819,616 for statins (-$4.02 PMPM), and $817,438 for oral antidiabetics (-$0.68 PMPM). The entire Medicare Advantage population scenario analysis saw reductions in total health care costs of $1,081,394,737 for RASAs, $1,362,987,376 for statins, and $231,171,496 for oral antidiabetics.

CONCLUSIONS

Dispensing chronic medications with blister-packaging for Medicare Advantage health plan patients was modeled to reduce HCRU and health care costs. Future studies are needed to assess whether the impact of blister-packaging medications is tied to reductions in HCRU and health care costs in real-world settings.

Association between adherence with oral anticancer medications and short-term health care resource utilization: A 2010-2018 claims-based analysis

BACKGROUND

There is limited evidence on the effect of adherence to oral anticancer medications on health care resource utilization (HRU) among patients with cancer.

OBJECTIVE

To determine the association between adherence to oral anticancer medication and subsequent HRU.

METHODS

A retrospective cohort study was conducted using Optum Clinformatics® Data Mart commercial claims database. Patients who initiated an oral anticancer medication between 2010 and 2017 were included. Proportion of days covered was used to calculate medication adherence in the first 6 months after oral anticancer medication initiation. All-cause HRU in the following 6 months was assessed. Multivariable negative binomial regressions were used to determine the association between oral anticancer medication adherence and HRU, after controlling for confounders.

RESULTS

Of 37,938 patients, 51.9% were adherent to oral anticancer medications. Adherence with oral anticancer medication was significantly associated with more frequent physician office and outpatient visits for several cancer types with the strongest association among those with liver cancer (adjusted incidence rate ratio [aIRR] = 1.34; 95% CI = 1.18-1.52 and aIRR = 1.32; 95% CI = 1.13-1.55, respectively). Oral anticancer medication adherence was associated with more emergency department visits only among patients with lung cancer (aIRR = 1.22; 95% CI = 1.01-1.48). Oral anticancer medication adherence was significantly associated with a higher rate of inpatient hospitalizations and longer stays among patients with liver cancer (aIRRs were 1.45 [95% CI = 1.02-2.05] and 2.15 [95% CI = 1.21-3.81], respectively), whereas hospitalizations were fewer and length of stay was shorter among patients with colorectal cancer who were adherent with oral anticancer medication (aIRRs were 0.77 [95% CI = 0.68-0.86] and 0.77 [95% CI = -0.66 to 0.90], respectively). Other measures did not reveal statistically significant differences in HRU among adherent and nonadherent patients for the cancer types included in the study.

CONCLUSIONS

HRU following the initial phase of oral anticancer medication therapy was generally similar among adherent and nonadherent patients. We observed a slightly higher rate of office and outpatient visits among adherent patients, which may reflect ongoing monitoring among patients continuing oral anticancer medication. Further studies are needed to determine how oral anticancer medication adherence may affect HRU over a longer time period.

Hypertension Medication and Medicare Beneficiaries: Prescription Drug Coverage Satisfaction and Medication Non-Adherence among Older Adults

Hypertension is so prevalent and requires strict adherence to medications to prevent further disease or death, but there is no study examining factors related to prescription drug non-adherence among 65 years old and older. This study aims to assess the likelihood of medication nonadherence among patients based on factors such as age, race, and socioeconomic status, with the goal of identifying strategies to enhance medication adherence and mitigate associated health risks. Using the 2020 Medicare Current Beneficiary Survey Public Use File to represent nationwide Medicare beneficiaries (unweighted n = 3917, weighted n = 27,134,782), medication non-adherence was related to multiple independent variables (i.e., age, sex, race/ethnicity, socioeconomic status, comorbidities, insurance coverage, and satisfaction with insurance). Cross-tabulations and Wald chi-square tests were used to determine how much each variable was related to non-adherence. Multivariate logistic regression was used to examine the association between medication non-adherence and factors such as prescription drug coverage satisfaction and cost-reducing behavior. Specific trends in medication non-adherence emerged among beneficiaries. Non-adherence was higher in older adults aged 65- to 74-year-olds and those with more chronic conditions (OR = 2.24; 95% CI = 1.74-2.89). If patients were dissatisfied with the medications on the insurance formulary or struggled to find a pharmacy that accepted their medication coverage, they had worse adherence (OR = 2.63; 95% CI = 1.80-3.84). Formulary and coverage must be expanded to improve adherence to antihypertensive medications in Medicare beneficiaries. Older adults aged 65 to 74 years may be less adherent to their medications because they do not see the seriousness of the disease and could benefit from further counseling. Patients with limited activities of daily living and more comorbidities may struggle with complex treatment regimens and should use adherence assistance tools.

The development of a clinical nomogram to predict medication nonadherence in patients with knee osteoarthritis

Knee osteoarthritis (KOA) is a common bone disease in older patients. Medication adherence is of great significance in the prognosis of this disease. Therefore, this study analyzed the high-risk factors that lead to medication nonadherence in patients with KOA and constructed a nomogram risk prediction model. The basic information and clinical characteristics of inpatients diagnosed with KOA at the Department of Orthopedics, The Affiliated Hospital of Chengde Medical University, were collected from January 2020 to January 2022. The Chinese version of the eight-item Morisky scale was used to evaluate medication adherence. The Kellgren-Lawrence (KL) classification was performed in combination with the imaging data of patients. Least absolute shrinkage and selection operator regression analysis and logistic multivariate regression analysis were used to analyze high-risk factors leading to medication nonadherence, and a prediction model of the nomogram was constructed. The model was internally verified using bootstrap self-sampling. The index of concordance (C-index), area under the operating characteristic curve (AUC), decision curve, correction curve, and clinical impact curve were used to evaluate the model. A total of 236 patients with KOA were included in this study, and the non-adherence rate to medication was 55.08%. Seven influencing factors were included in the nomogram prediction: age, underlying diseases, diabetes, age-adjusted Charlson comorbidity index (aCCI), payment method, painkillers, and use of traditional Chinese medicine. The C-index and AUC was 0.935. The threshold probability of the decision curve analysis was 0.02-0.98. The nomogram model can be effectively applied to predict the risk of medication adherence in patients with KOA, which is helpful for medical workers to identify and predict the risk of individualized medication adherence in patients with KOA at an early stage of treatment, and then carry out early intervention.

Addressing racial/ethnic disparities associated with Medicare Part D Star Ratings among population with Alzheimer's disease and related dementias

BACKGROUND

Previous studies noted that racial/ethnic minority groups were less likely than non-Hispanic White beneficiaries to be included in the assessment of medication utilization measures of Medicare Part D Star Ratings due to restrictive inclusion criteria for measure calculation. This study explored whether adding a measure with less stringent inclusion criteria to Star Ratings can reduce disparities in measure assessment among beneficiaries with Alzheimer's disease and related dementias (ADRD).

METHODS

This cross-sectional study utilized 2017 Medicare databases linked to Area Health Resources Files. Multivariable logistic regression was used to compare disparities before and after adding the new measure.

RESULTS

By adding the new measure, disparities in the odds for assessment inclusion between non-Hispanic White beneficiaries and Black, Hispanic, Asian, and Other beneficiaries were respectively reduced by 97% (odds ratio, or OR = 1.97, 95% Confidence Interval or CI = 1.89-2.05), 72% (OR = 1.72, 95% CI = 1.58-1.87), 115% (OR = 2.15, 95% CI = 1.87-2.46), and 44% (OR = 1.44, 95% CI = 1.28-1.62).

CONCLUSIONS

To improve the selection of medication utilization measures in Star Ratings among beneficiaries with ADRD, policymakers should investigate the optimal composition of measures to better align the interests of patients, providers, and health plans.

Patterns of statin adherence in primary cardiovascular disease prevention during the pandemic

Background: Study of medication adherence patterns can help identify patients who would benefit from effective interventions to improve adherence. Objectives: To identify and compare groups of statin users based on their adherence patterns before and during the COVID-19 pandemic, to characterize the profile of users in each group, and to analyze predictors of distinct adherence patterns. Methods: Participants of the CARhES (CArdiovascular Risk factors for HEalth Services research) cohort, comprising individuals aged >16 years, residing in Aragón (Spain), with hypertension, diabetes mellitus and/or dyslipidemia, took part in this observational longitudinal study. Individuals who began statin therapy during January-June 2019 were selected and followed up until June 2021. Those with a cardiovascular event before or during follow-up were excluded. Data were obtained from healthcare system data sources. Statin treatment adherence during the implementation phase was estimated bimonthly using the Continuous Medication Availability (CMA9) function in the AdhereR package. Group-based trajectory models were developed to group statin users according to their adherence pattern during July 2019-June 2021. Group characteristics were compared and predictors of each adherence pattern were analyzed using multinomial logistic regression. Results: Of 15,332 new statin users, 30.8% had a mean CMA9 ≥80% for the entire study period. Four distinct adherence patterns were identified: high adherence (37.2% of the study population); poor adherence (35.6%); occasional use (14.9%); and gradual decline (12.3%). The latter two groups included users who showed a change in adherence (increase or decrease) during the pandemic emergence. Users with suboptimal adherence were likely to be younger, not pensioners, not institutionalized, with low morbidity burden and a low number of comorbidities. Female sex and switching between statins of different intensity increased the likelihood of belonging to the occasional use group, in which improved adherence coincided with the pandemic. Conclusion: We identified four distinct adherence patterns in a population of new statin users; two of them modified their adherence during the pandemic. Characterization of these groups could enable more effective distribution of resources in future similar crisis and the routine implementation of patient-centered interventions to improve medication adherence.

Direct Healthcare Costs by Level of Adherence of a Real-World Population of Statin Users in Italy

Purpose

This real-world study investigates the direct healthcare costs from the perspective of the Italian Healthcare National Service of experienced statin users according to their level of adherence to therapy and to their cardiovascular (CV) profile in Italian settings of outpatients clinical practice.

Patients and Methods

A retrospective observational analysis was performed based on administrative databases covering approximately 6 million health-assisted individuals. Adult patients with statins prescription between January 2014 and December 2016 were screened, and first prescription within this period was the index date. Follow-up lasted 1 year after index date. Only patients receiving statins prior index date (experienced statin users) were included and distributed in clusters based on their CV profile. Adherence was calculated during follow-up as proportion of days covered (PDC) and classified in low adherence (PDC<40%), partial adherence (PDC=40–79%) and adherence (PDC≥80%). Mean direct healthcare costs of drugs, hospitalizations, and outpatient services were evaluated during follow-up.

Results

A total of 436,623 experienced statin users were included and distributed as follows: 5.5% in the previous CV events, 22.6% in diabetes, 55.7% in CV treatments and 16.2% in the no comorbidity cluster. Total mean annual cost/patient decreased from low adherent to adherent patients from €4826 to €3497 in previous CV events, from €2815 to €2360 in diabetes cluster, from €2077 to €1863 for patients with CV treatments. Same trend was reported for the cost item related to hospitalizations, which was the major determinant of the total costs. In previous CV event cluster, adherence was associated to a saving of €879 on total costs.

Conclusion

The study highlighted a decrease in overall mean costs as adherence levels increase, particularly for patients with previous CV events, showing how improving adherence could be associated to cost savings and suggesting suited strategy based on CV profile should be undertaken for adherence optimization.