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Objectives: This study examined the effects of the comprehensive medication review of Medicare medication therapy management programs on opioid overuse among Medicare beneficiaries. Methods: This retrospective study analyzed Medicare data from 2016 to 2017. The intervention group included Medicare beneficiaries who newly received comprehensive medication review in 2017; the control group referred to patients who met the general eligible criteria for the medication therapy management program but did not enroll in 2016 or 2017. Propensity score matching was performed to increase characteristic compatibility between the intervention and control groups. Three measures of opioid overuse were analyzed: use of opioids at a high dosage, use of opioids from multiple providers, and concurrent use of opioids and benzodiazepines. The effects of comprehensive medication review on opioid overuse were analyzed with a multivariate logistic regression with an interaction term between the receipt of comprehensive medication review and the year 2017. Key Findings: The proportion of concurrent use of opioids and benzodiazepines declined at a greater rate among the recipients (2.21%) than non-recipients (1.55%) of the comprehensive medication review. In the adjusted analysis, the odds ratio of no concurrent use of opioids and benzodiazepines was 5% higher (1.05; 95% confidence interval = 1.02-1.09) among recipients than non-recipients. These significant findings were not found for the other two measures of opioid overuse. Conclusions: Comprehensive medication review is associated with reduced concurrent use of opioids and benzodiazepines among Medicare beneficiaries. Such service should be incorporated into the current approaches for addressing the opioid epidemic.
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Background: Racial/ethnic minorities are less likely than non-Hispanic White (White) patients to be included in the Medicare Part D Star Ratings measure assessment due to the restrictive inclusion criteria for the measures. Objective: This paper examined the effects of racial/ethnic disparities in the measure assessment in Part D Star Ratings on disparities in healthcare costs among patients with Alzheimer's disease and related dementias (ADRD). Methods: This cross-sectional study analyzed 2017 Medicare data. Proportions of Beneficiaries with ADRD were categorized into the included and excluded groups based on the inclusion criteria for the calculation of medication adherence measures in Star Ratings. Outcomes included costs for medications, physician visits, emergency room (ER) visits, and total costs. A generalized linear model was employed to compare costs across racial/ethnic groups. To explore the differential disparities in healthcare costs between the 2 groups, interaction terms between dummy variables for being excluded from the measure calculation and racial/ethnic minorities were included in the models. Results: The patterns of racial/ethnic disparities in healthcare costs found in this study were generally consistent with expectations, with some exceptions. For example, compared with White patients, in the hyperlipidemia cohort, the physician visit cost for Black patients among the included group was 31% lower (cost ratio or CR = 0.69, 95% CI = 0.67-0.72); in the hypertension cohort, the hospitalization cost for Blacks among the excluded group was 15% higher (CR = 1.15, 95% CI = 1.12-1.19). More importantly, exclusion from measurement assessments was associated with differential cost disparities. For example, compared with individuals included in the measure assessment for hypertension, the Black-White disparities in costs for hospitalization and total healthcare were 30% higher (CR = 1.30, 95% CI = 1.26-1.34), and 10% higher (CR = 1.10; 95% CI = 1.08-1.12), respectively, among the excluded group. Conclusions: Medicare Part D Star Ratings may be associated with aggravated racial/ethnic disparities in healthcare costs in the Medicare Part D population.
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Background: Previous literature suggested that the consequences of inappropriate medication use may be borne disproportionately by racial/ethnic minorities. It is, therefore, essential to examine if quality improvement initiatives, such as Medicare Part D Star Ratings (Star Ratings), can improve these disparities. Objective: To assess the impact of Star Ratings bonus payments to Medicare Advantage prescription drug plans (MAPDs) implemented in 2012 on racial/ethnic disparities in medication utilization issues (MUIs). Methods: This study mainly used secondary data from Medicare administrative data linked to Area Health Resources Files for years before (2010-2011) and after MAPD bonus payment implementation (2016-2017). Patients in MAPDs were treated as the intervention group, and those in independent prescription drug plans (PDPs) were used as the comparison group because PDPs were ineligible for bonuses. MUIs targeted and not targeted in Star Ratings were both examined to determine spillover effects. A difference-in-differences approach was applied by including in a logistic regression a 3-way interaction term for dummy variables for racial/ethnic minorities, later period of 2016-2017, and MAPD plan. Results: Racial/ethnic minorities experienced more MUIs: e.g., the odds of MUIs targeted in Star Ratings among MAPD enrollees were 83% higher (odds ratio [OR] = 1.83; 95% confidence interval [CI] = 1.71-1.96) for Black than White patients. Black-White disparities in MUIs targeted in Star Ratings decreased 16% more (OR = 0.84; 95% = CI 0.78-0.91) over time among MAPD enrollees than those in PDPs. This pattern was not found for non-Star Ratings measures. Changes in Hispanic-White disparities were similar between MAPD and PDP enrollees for MUIs targeted and not-targeted by Star Ratings. Asian-White and Other-White disparities in MUIs did not experience a higher reduction among MAPD enrollees than PDP enrollees. Conclusions: Part D bonus payments are associated with lower Black-White disparities in MUIs targeted by Star Ratings. However, Part D bonus payments may not have reduced Hispanic-White or Asian-White disparities. Future research should explore the causes of the bonus payments' heterogeneous effects across racial/ethnic groups.
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OBJECTIVE: Medicare Part D Star Ratings are instrumental in shaping healthcare quality improvement efforts. However, the calculation metrics for medication performance measures for this program have been associated with racial/ethnic disparities. In this study, we aimed to explore whether an alternative program, named Star Plus by us that included all medication performance measures developed by Pharmacy Quality Alliance and applicable to our study population, would reduce such disparities among Medicare beneficiaries with diabetes, hypertension, and/or hyperlipidemia. METHOD: We conducted an analysis of a 10% random sample of Medicare A/B/D claims linked to the Area Health Resources File. Multivariate logistic regressions with minority dummy variables were used to examine racial/ethnic disparities in measure calculations of Star Ratings and Star Plus, respectively. RESULTS: Adjusted results indicated that relative to non-Hispanic Whites (Whites), racial/ethnic minorities had significantly lower odds of being included in the Star Ratings measure calculations: the odds ratios (ORs) for Blacks, Hispanics, Asians, and Others were 0.68 (95% confidence interval [CI] = 0.66-0.71), 0.73 (CI = 0.69-0.78), 0.88 (CI = 0.82-0.93), and 0.92 (CI = 0.88-0.97), respectively. In contrast, every beneficiary in the sample was included in Star Plus. Further, racial/ethnic minorities had significantly higher increase in the odds of being included in measure calculation in Star Plus than Star Ratings. The ORs for Blacks, Hispanics, Asians, and Others were 1.47 (CI = 1.41-1.52), 1.37 (CI = 1.29-1.45), 1.14 (CI = 1.07-1.22), and 1.09 (CI = 1.03-1.14), respectively. CONCLUSIONS: Our study demonstrated that racial/ethnic disparities may be eliminated by including additional medication performance measures to Star Ratings.