Effects of Medicare Part D medication therapy management on racial/ethnic disparities in adherence to antidementia medications among patients with Alzheimer's disease and related dementias: An observational study.

Background: Evidence is sparse on the effects of Medicare medication therapy management (MTM) on racial/ethnic disparities in medication adherence among patients with Alzheimer's disease and related dementias. Objectives: This study examined the Medicare MTM program's effects on racial/ethnic disparities in the adherence to antidementia medications among patients with Alzheimer's disease and related dementias. Methods: This is a retrospective analysis of 100% of 2010-2017 Medicare Parts A, B, and D data linked to Area Health Resources Files. The study outcome was nonadherence to antidementia medications, and intervention was defined as new MTM enrollment in 2017. Propensity score matching was conducted to create intervention and comparison groups with comparable characteristics. A difference-in-differences model was employed with logistic regression, including interaction terms of dummy variables for the intervention group and racial/ethnic minorities. Results: Unadjusted comparisons revealed that Black, Hispanic, and Asian/Pacific Islander patients were more likely to be nonadherent than non-Hispanic White (White) patients in 2016. Differences in odds of nonadherence between Black and White patients among the intervention group were lower in 2017 than in 2016 by 27% (odds ratios [OR]: 0.73, 95% confidence interval [CI]: 0.65-0.82). A similar lowering was seen between Hispanic and White patients by 26% (OR: 0.74, 95% CI: 0.63-0.87). MTM enrollment was associated with reduced disparities in nonadherence for Black-White patients of 33% (OR: 0.67, 95% CI: 0.57-0.78) and Hispanic-White patients of 19% (OR: 0.81, 95% CI: 0.67-0.99). Discussion: The Medicare MTM program was associated with lower disparities in adherence to antidementia medications between Black and White patients, and between Hispanic and White patients in the population with Alzheimer's disease and related dementias. Conclusions: Expanding the MTM program may particularly benefit racial/ethnic minorities in Alzheimer's disease and related dementia care.

Age-related differences in risks and outcomes of 30-day readmission in adults with sickle cell disease.

BACKGROUND: Literature on 30-day readmission in adults with sickle cell disease (SCD) is limited. This study examined the overall and age-stratified rates, risk factors, and healthcare resource utilization associated with 30-day readmission in this population. METHODS: Using the Nationwide Readmissions Database, a retrospective cohort study was conducted to identify adult patients (aged ≥ 18) with SCD in 2016. Patients were stratified by age and followed for 30 days to assess readmission following an index discharge. The primary outcome was 30-day unplanned all-cause readmission. Secondary outcomes included index hospitalization costs and readmission outcomes (e.g., time to readmission, readmission costs, and readmission lengths of stay). Separate generalized linear mixed models estimated the adjusted odds ratios (aORs) for associations of readmission with patient and hospital characteristics, overall and by age. RESULTS: Of 15,167 adults with SCD, 2,863 (18.9%) experienced readmission. Both the rates and odds of readmission decreased with increasing age. The SCD complications vaso-occlusive crisis and end-stage renal disease (ESRD) were significantly associated with increased likelihood of readmission (p < 0.05). Age-stratified analyses demonstrated that diagnosis of depression significantly increased risk of readmission among patients aged 18-to-29 years (aOR = 1.537, 95%CI: 1.215-1.945) but not among patients of other ages. All secondary outcomes significantly differed by age (p < 0.05). CONCLUSION: This study demonstrates that patients with SCD are at very high risk of 30-day readmission and that younger adults and those with vaso-occlusive crisis and ESRD are among those at highest risk. Multifaceted, age-specific interventions targeting individuals with SCD on disease management are needed to prevent readmissions.

Racial and ethnic disparities in the enrolment of medicare medication therapy management programs.

Objectives: Racial/ethnic disparities have been found in prior literature examining enrolment in Medicare medication therapy management programs. However, those studies were based on various eligibility scenarios because enrolment data were unavailable. This study tested for potential disparities in enrolment using actual MTM enrolment data. Methods: Medicare Parts A&B claims, Medication Therapy Management Data Files, and the Area Health Resources File from 2013 to 2014 and 2016 to 2017 were analysed in this retrospective analysis. An adjusted logistic regression compared odds of enrolment between racial/ethnic minorities and non-Hispanic Whites (Whites) in the total sample and subpopulations with diabetes, hypertension, or hyperlipidaemia. Trends in disparities were analysed by including interaction terms in regressions between dummy variables for race/ethnic minority groups and period 2016-2017. Key Findings: Disparities in MTM enrolment were detected between Blacks and Whites with diabetes in 2013-2014 (Odds Ratio = 0.78, 95% Confidence Interval = 0.75-0.81). This disparity improved from 2013-2014 to 2016-2017 for Blacks (Odds Ratio=1.08, 95% Confidence Interval = 1.04-1.11) but persisted in 2016-2017 (Odds Ratio = 0.84, 95% Confidence Interval = 0.81-0.87). A disparity was identified between Blacks and Whites with hypertension in 2013-2014 (Odds Ratio = 0.92, 95% Confidence Interval = 0.89-0.95) but not in 2016-2017. Enrolment for all groups, however, declined between periods. For example, in the total sample, the odds of enrolment declined from 2013-2014 to 2016-2017 by 22% (Odds Ratio=0.78, 95% Confidence Interval=0.75-0.81). Conclusions: Racial disparities in MTM enrolment were found between Blacks and Whites among Medicare beneficiaries with diabetes in both periods and among individuals with hypertension in 2013-2014. As overall enrolment fell between periods, concerns about program enrolment remain.

Telehealth Utilization in High-Risk Pregnancies During COVID-19.

Purpose: To determine how telehealth has influenced outcomes in high-risk obstetrics patients during the Coronavirus disease 2019 (COVID-19) pandemic. Methods: A retrospective chart review was conducted to identify patterns in both telehealth and in-person clinic visits among patients of a Maternal Fetal Medicine (MFM) department from the onset of the COVID-19 pandemic from March 2020 until October 2021. For the descriptive analysis, p-values were calculated using Wilcoxon rank sum for continuous variables and chi-square or Fisher exact (where cell n < 5) for categorical variables. Variables of interest were then tested for their univariate association with telehealth utilization using logistic regression. Variables found to meet the criterion of p < 0.2 in the univariate case were introduced into a multivariable logistic model with a backward elimination for determining variable retention. We aimed to analyze whether telehealth visits significantly impacted pregnancy outcomes. Results: Four hundred nineteen high-risk patients visited the clinic via in-person and/or telehealth appointments during the study period: 320 patients without telehealth visits and 99 patients with telehealth visits. Care provided by telehealth visits was not found to be related to self-reported race (p = 0.81), maternal body mass index (p = 1.0), or maternal age (p = 0.53). Patients with private insurance were more likely to have telehealth visits than patients with public insurance (79.9% vs. 65.5%, p < 0.01). In univariate logistic analyses, patients with diagnoses of anxiety (p < 0.01), asthma (p = 0.03), and depression (p < 0.01), at the time care was established, were more likely to have telehealth visits. Those patients with telehealth visits did not have any statistical differences in mode of delivery (p = 0.2) or pregnancy outcomes (p = 0.12), including fetal demise, preterm delivery, or delivery at term as compared with patients with all in-office visits. In multivariable analysis, patient conditions of anxiety (p < 0.01), maternal obesity (p < 0.01), and twin pregnancy (p = 0.04) were associated with higher rates of telehealth visits. Conclusion: Patients with certain pregnancy complications elected to have more telehealth visits. Patients with private insurance were more likely to have telehealth visits than patients with public insurance. There are benefits for patients with certain pregnancy complications to incorporate telehealth visits in addition to regularly scheduled in-person clinic visits and may be suitable in a post-pandemic setting as well. Further research in this field is needed to better understand the impact of implementing telehealth in high-risk obstetrics patients.

Disparities associated with Medicare Part D Star Ratings measures among patients with Alzheimer's disease and related dementias.

The Medicare Parts C and D Star Ratings system was established to improve care quality in Medicare. Previous studies reported racial/ethnic disparities in the calculation of medication adherence measures of Star Ratings in patients with diabetes, hypertension, and hyperlipidemia. This study aimed to identify possible racial/ethnic disparities in the calculation of adherence measures of Medicare Part D Star Ratings among patients with Alzheimer's disease and related dementias (ADRD) and diabetes, hypertension, or hyperlipidemia. This retrospective study analyzed the 2017 Medicare data and Area Health Resources Files. Non-Hispanic White (White) patients were compared to Black, Hispanic, Asian/Pacific Islander (Asian), and other patients on their likelihood of being included in the calculation of adherence measures for diabetes, hypertension, and/or hyperlipidemia. To adjust for the individual/community characteristics, logistic regression was used when the outcome is the inclusion in the calculation of one adherence measure; multinomial regression was used when examining the inclusion in the calculation of multiple adherence measures. Analyzing the data of 1438,076 Medicare beneficiaries with ADRD, this study found that Black (adjusted odds ratio, or OR = 0.79, 95% confidence interval, or 95% CI = 0.73-0.84) and Hispanic (OR = 0.82, 95% CI = 0.75-0.89) patients were less likely than White patients to be included in the calculation of adherence measure for diabetes medications. Further, Black patients were less likely to be included in the calculation of the adherence measure for hypertension medications than White patients (OR = 0.81, 95% CI = 0.78-0.84). All minorities were less likely to be included in calculating the adherence measure for hyperlipidemia medications than Whites. The ORs for Black, Hispanic, and Asian patients were 0.57 (95% CI = 0.55-0.58), 0.69 (95% CI = 0.64-0.74), and 0.83 (95% CI = 0.76-0.91), respectively. Minority patients were generally likely to be included in the measure calculation of fewer measures than White patients. Racial/ethnic disparities were observed in the calculation of Star Ratings measures among patients with ADRD and diabetes, hypertension, and/or hyperlipidemia. Future studies should explore possible causes of and solutions to these disparities.

Solving racial/ethnic disparities associated with Medicare Part D Star Ratings.

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.

Racial and ethnic disparities in Medicare Part D medication therapy management services utilization.

Background: The Medicare Part D medication therapy management (MTM) program has positive effects on medication and health service utilization. However, little is known about its utilization, much less so about the use among racial and ethnic minorities. Objective: To examine MTM service utilization among older Medicare beneficiaries and to identify any racial and ethnic disparity patterns. Methods: A retrospective cross-sectional analysis of 2017 Medicare administrative data, linked to the Area Health Resources Files. Fourteen outcomes related to MTM service nature, initiation, quantity, and delivery were examined using logistic, negative binomial, and Cox proportional hazards regression models. Results: Racial and ethnic disparities were found with varying patterns across outcomes. For example, compared with White patients, the odds of opting out of MTM were 8% higher for Black patients (odds ratio [OR] = 1.08, 95% confidence interval [CI] = 1.03-1.14), 57% higher for Hispanic patients (OR = 1.57, 95% CI = 1.42-1.72), and 57% higher for Asian patients (OR = 1.57, 95% CI = 1.33-1.85). The odds of continuing MTM from the previous years were 12% lower for Black patients (OR = 0.88, 95% CI = 0.86-0.90) and 3% lower for other patients (OR = 0.97, 95% CI = 0.95-0.99). In addition, the probability of being offered a comprehensive medication review (CMR) after MTM enrollment was 9% lower for Hispanic patients (hazard ratio [HR] = 0.91, 95% CI = 0.85-0.97), 9% lower for Asian patients (HR = 0.91, 95% CI = 0.87-0.94), and 3% lower for other patients (HR = 0.97, 95% CI = 0.95-0.99). Hispanic and Asian patients were more likely to have someone other than themselves receive a CMR. Conclusions: Racial and ethnic disparities in MTM service utilization were identified. Although the disparities in specific utilization outcomes vary across racial/ethnic groups, it is evident that these disparities exist and may result in vulnerable communities not fully benefiting from the MTM services. Causes of the disparities should be explored to inform future reform of the Medicare Part D MTM program.

Cost-Effectiveness of Medication Therapy Management Program Across Racial and Ethnic Groups Among Medicare Beneficiaries.

OBJECTIVES: Equity and effectiveness of the medication therapy management (MTM) program in Medicare has been a policy focus since its inception. The objective of this study was to evaluate the cost-effectiveness of the Medicare MTM program in improving medication utilization quality across racial and ethnic groups. METHODS: This study analyzed 2017 Medicare data linked to the Area Health Recourses File. A propensity score was used to match MTM enrollees and nonenrollees, and an incremental cost-effectiveness ratio between the 2 groups was calculated. Effectiveness was measured as the proportion of appropriate medication utilization based on medication utilization measures developed by Pharmacy Quality Alliance. Net monetary benefits were compared across racial and ethnic groups at various societal willingness-to-pay (WTP) thresholds. The 95% confidence intervals were obtained by nonparametric bootstrapping. RESULTS: MTM dominated non-MTM among the total sample (N = 699 992), as MTM enrollees had lower healthcare costs ($31 135.89 vs $32 696.69) and higher proportions of appropriate medication utilization (87.47% vs 85.31%) than nonenrollees. MTM enrollees had both lower medication costs ($10 681.21 vs $11 003.08) and medical costs ($20 454.68 vs $21 693.61) compared with nonenrollees. The cost-effectiveness of MTM was higher among Black patients than White patients across the WTP thresholds. For instance, at a WTP of $3006 per percentage point increase in effectiveness, the net monetary benefit for Black patients was greater than White patients by $2334.57 (95% confidence interval $1606.53-$3028.85). CONCLUSIONS: MTM is cost-effective in improving medication utilization quality among Medicare beneficiaries and can potentially reduce disparities between Black and White patients. Expansion of the current MTM program could maximize these benefits.

Racial/ethnic disparities in the enrollment of Medication Therapy Management programs among Medicare beneficiaries with Alzheimer's disease and related dementias.

OBJECTIVE: Previous analysis of policy scenarios reported potential disparities in eligibility in the Medicare Medication Therapy Management (MTM) program. With recently released MTM data, this study aimed to determine if racial/ethnic disparities exist in MTM enrollment among Medicare beneficiaries with Alzheimer's disease and related dementias (ADRD). METHODS: Medicare claims/records (from 2013-2014 and 2016-2017) linked to the Area Health Resources File were examined. Included individuals were patients with ADRD and diabetes, hypertension or hyperlipidemia. The proportions of MTM enrollment were compared between non-Hispanic White (White) patients and racial/ethnic minority groups in descriptive analysis. Racial/ethnic disparities were then examined using a logistic regression adjusting for patient and community characteristics. Disparities across study periods were compared by estimating a logistic regression model with interaction terms between dummy variables for each racial/ethnic minority group and 2016-2017. RESULTS: In unadjusted analyses, minorities had higher enrollment proportions than Whites. In 2016-2017, for example, enrollment percentages for Whites, Blacks, Hispanics, Asian/Pacific Islanders (Asians) and Others were respectively 14.44%, 16.71%, 19.83%, 16.66%, and 17.78%. In adjusted analyses, Blacks had lower enrollment odds than Whites within all cohorts. In the entire study sample in 2016-2017, for example, Blacks with ADRD had 9% lower odds of MTM enrollment (odds ratio 0.91, 95% confidence interval [CI] = 0.86-0.97) than Whites. These disparities decreased over time among the ADRD sample and all sub-groups. The interaction term between Blacks and 2016-2017, for instance, indicated that disparities were lowered by 11% (odds ratio 1.11, 95% CI = 1.05-1.16) across study periods among those with ADRD. CONCLUSIONS: Blacks with ADRD, and diabetes, hypertension or hyperlipidemia have lower likelihood of MTM enrollment than Whites. Racial disparities were reduced over time but not eliminated.

Effects of Medicare comprehensive medication review on racial/ethnic disparities in nonadherence to statin medications among patients with Alzheimer's Disease: an observational analysis.

BACKGROUND: Alzheimer's Disease (AD) is the mostcommon cause of dementia, a neurological disorder characterized by memory loss and judgment impairment. Hyperlipidemia, a commonly co-occurring condition, should be treated to prevent associated complications. Medication adherence may be difficult for individuals with AD due to the complexity of AD management. Comprehensive Medication Reviews (CMRs), a required component of Medicare Part D Medication Therapy Management (MTM), have been shown to improve medication adherence. However, many MTM programs do not target AD. Additionally, racial/ethnic disparities in MTM eligibility have been revealed. Thus, this study examined the effects of CMR receipt on reducing racial/ethnic disparities in the likelihood of nonadherence to hyperlipidemia medications (statins) among the AD population. METHODS: This retrospective study used 2015-2017 Medicare data linked to the Area Health Resources Files. The likelihood of nonadherence to statin medications across racial/ethnic groups was compared between propensity-score-matched CMR recipients and non-recipients in a ratio of 1 to 3. A difference-in-differences method was utilized to determine racial/ethnic disparity patterns using a logistic regression by including interaction terms between dummy variables for CMR receipt and each racial/ethnic minority group (non-Hispanic Whites, or Whites, as reference). RESULTS: The study included 623,400 Medicare beneficiaries. Blacks and Hispanics had higher statin nonadherence than Whites: Compared to Whites, Blacks' nonadherence rate was 4.53% higher among CMR recipients and 7.35% higher among non-recipients; Hispanics' nonadherence rate was 2.69% higher among CMR recipients and 7.38% higher among non-recipients. Differences in racial/ethnic disparities between CMR recipients and non-recipients were significant for each minority group (p < 0.05) except Others. The difference between Whites and Hispanics in the odds of statin nonadherence was 11% lower among CMR recipients compared to non-recipients (OR = 0.89; 95% Confidence Interval = 0.85-0.94 for the interaction term between dummy variables for CMR and Hispanics). Interaction terms between dummy variables for CMR and other racial/ethnic minorities were not significant. CONCLUSIONS: Receiving a CMR was associated with a disparity reduction in nonadherence to statin medications between Hispanics and Whites among patients with AD. Strategies need to be explored to increase the number of MTM programs that target AD and promote CMR completion.

Survival Benefit Associated With the Use of Extracorporeal Life Support for Neonates With Congenital Diaphragmatic Hernia.

OBJECTIVE: To measure the survival among comparable neonates with CDH supported with and without ECLS. SUMMARY OF BACKGROUND DATA: Despite widespread use in the management of newborns with CDH, ECLS has not been consistently associated with improved survival. METHODS: A retrospective cohort study was performed using ECLS-eligible CDH Study Group registry patients born between 2007 and 2019. The primary outcome was in-hospital mortality. Neonates who did and did not receive ECLS were matched based on variables affecting risk for the primary outcome. Iterative propensity score-matched, survival (Cox regression and Kaplan-Meier), and center effects analyses were performed to examine the association of ECLS use and mortality. RESULTS: Of 5855 ECLS-eligible CDH patients, 1701 (29.1%) received ECLS. "High-risk" patients were best defined as those with a lowest achievable first-day arterial partial pressure of CO2 of ≥60 mm Hg. After propensity score matching, mortality was higher with ECLS (47.8% vs 21.8%, odds ratio 3.3, 95% confidence interval 2.7-4.0, hazard ratio 2.3, P < 0.0001). For the subgroup of high-risk patients, there was lower mortality observed with ECLS (64.2% vs 84.4%, odds ratio 0.33, 95% confidence interval 0.17-0.65, hazard ratio 0.33, P = 0.001). This survival advantage was persistent using multiple matching approaches. However, this ECLS survival advantage was found to occur primarily at high CDH volume centers that offer frequent ECLS for the high-risk subgroup. CONCLUSIONS: Use of ECLS is associated with excess mortality for low- and intermediate-risk neonates with CDH. It is associated with a significant survival advantage among high-risk infants, and this advantage is strongly influenced by center CDH volume and ECLS experience.

Racial and ethnic disparities associated with the measure for drug-drug interactions among Medicare beneficiaries.

BACKGROUND: Drug-drug interactions (DDIs) cause many preventable hospitalizations and admissions. Efforts have been made to raise DDI awareness and reduce DDI occurrence; for example, Medicare Part D Star Ratings, a health plan quality assessment program, included a DDI measure. Previous research reported racial and ethnic disparities in health services utilization and that racial and ethnic minorities, compared with non-Hispanic whites (whites), may be less likely to be targeted for a similar measure, a Star Ratings adherence measure for diabetes medications. OBJECTIVE: This study aimed to investigate whether any racial and ethnic disparities are associated with the DDI measure in Part D Star Ratings among Medicare populations with diabetes, hypertension, and hyperlipidemia. METHODS: This cross-sectional study analyzed a 2017 Medicare Part D data sample, including 3,960,813 beneficiaries. Because the inclusion in the denominator of the Star Ratings DDI measure was determined by the use of a list of target medications, the likelihood of using a listed target medication was compared between racial and ethnic minorities and whites. Individuals with diabetes, hypertension, and hyperlipidemia were included in the analysis owing to the high prevalence of these conditions. Patient- and community-level characteristics were adjusted by logistic regression. RESULTS: Of the entire study sample, 26.2% used a target medication. Compared with whites, most racial and ethnic minorities were less likely to use a target medication. For example, among individuals with diabetes, blacks, Hispanics, Asians/Pacific Islanders, and others had, respectively, 14% (odds ratio 0.86 [95% CI 0.84-0.88]), 5% (0.95 [0.93-0.98]), 12% (0.88 [0.84-0.92]), and 10% (0.90 [0.87-0.93]) lower odds compared with whites. Findings were similar among hypertension and hyperlipidemia cohorts, except that Hispanics had similar odds of use as whites. CONCLUSION: Most racial and ethnic minorities may have lower likelihood of being targeted for the DDI measure compared with whites. Future studies should examine whether these disparities affect health outcomes and devise new DDI measures for racial and ethnic minorities.

Democracy and case fatality rate of COVID-19 at early stage of pandemic: a multicountry study.

Many studies have evaluated factors that influence the course of the COVID-19 pandemic in different countries. This multicountry study assessed the influence of democracy and other factors on the case fatality rate of COVID-19 during the early stage of the pandemic. We accessed the World Health Organization, World Bank, and the Democracy Index 2019 databases for data from the 148 countries. Multiple analyses were conducted to examine the association between the Democracy Index and case fatality rate of COVID-19. Within 148 countries, the percentage of the population aged 65 years and above (p = 0.0193), and health expenditure as a percentage of GDP (p = 0.0237) were positively associated with countries' case fatality rates. By contrast, hospital beds per capita helped to reduce the case fatality rates. In particular, the Democracy Index was positively associated with case fatality rates in a subgroup of 47 high-income countries. This study suggests that enhancing the health system with increased hospital beds and healthcare workforce per capita should reduce case fatality rate. The findings suggest that a higher Democracy Index is associated with more deaths from COVID-19 at the early stage of the pandemic, possibly due to the decreased ability of the government.

Reliability Testing of the Mayo Elbow Performance Score in Post-operative Patients.

This study aimed to determine intra-observer and inter-observer reliability of the Mayo Elbow Performance Score (MEPS). Patients undergoing elbow surgery completed a MEPS questionnaire initially and another 2-3 weeks later. During the second interview, patients completed the Oxford Elbow Score (OES) for comparison. Intraclass correlation coefficients (ICC) and Pearson correlation coefficients (PCC) > 0.80 indicated substantial agreement. In 42 patients who had elbow surgery, the average MEPS score initially was 78 (range, 5-100, SD 22.4) and 77 (range, 5-100, SD 21.5) at second interview. The average normalized OES score was 79 (range, 17-100, SD 23.6). The ICC for MEPS scores at the two time points was 0.90, and the PCC between the MEPS and OES scores was 0.87, indicating substantial agreement. The MEPS has strong intra-observer reliability at different time points and strong inter-observer reliability when compared with the OES, validating the MEPS as an outcome measure of elbow surgery. (Journal of Surgical Orthopaedic Advances 31(4):229-232, 2022).

Graphical Trajectory Comparison to Identify Errors in Data of COVID-19: A Cross-Country Analysis.

Data from the early stage of a novel infectious disease outbreak provide vital information in risk assessment, prediction, and precise disease management. Since the first reported case of COVID-19, the pattern of the novel coronavirus transmission in Wuhan has become the interest of researchers in epidemiology and public health. To thoroughly map the mechanism of viral spreading, we used the patterns of data at the early onset of COVID-19 from seven countries to estimate the time lag between peak days of cases and deaths. This study compared these data with those of Wuhan and estimated the natural history of disease across the infected population and the time lag. The findings suggest that comparative analyses of data from different regions and countries reveal the differences between peaks of cases and deaths caused by COVID-19 and the incomplete and underestimated cases in Wuhan. Different countries may show different patterns of cases peak days, deaths peak days, and peak periods. Error in the early COVID-19 statistics in Brazil was identified. This study provides sound evidence for policymakers to understand the local circumstances in diagnosing the health of a population and propose precise and timely public health interventions to control and prevent infectious diseases.

Effects of the Medicare Part D comprehensive medication review on medication adherence among patients with Alzheimer's disease.

OBJECTIVE: Older patients with Alzheimer's disease (AD) are challenged with adhering to complex medication regimens. We examined effects of Comprehensive Medication Review (CMR), a required Medicare Part D Medication Therapy Management (MTM) program component, on medication adherence among AD patients. METHODS: This retrospective study analyzed 100% of 2016-2017 Medicare claims covering the entire United States, linked to Area Health Resources Files. Medicare beneficiaries aged ≥65 years were included. Propensity score matching identified comparable intervention and comparison groups with the intervention defined as receiving a CMR in 2017. A difference-in-differences analysis included in multivariate logistic regressions an interaction term between CMR receipt and year 2017. The outcome measured was nonadherence to diabetes, hypertension and hyperlipidemia medications, with nonadherence defined as proportion of days covered <80% for study medications. RESULTS: Unadjusted comparisons indicated the proportion of nonadherence for intervention group members decreased from 2016 to 2017 but increased for the comparison group. In adjusted analyses, reduction in medication nonadherence among the intervention group remained higher: odds ratios for the interaction term were 0.62 (95% confidence interval [CI] = 0.54-0.71), 0.54 (95% CI = 0.50-0.58) and 0.50 (95% CI = 0.47-0.53) respectively for diabetes, hypertension and hyperlipidemia medications. This suggests that the likelihood of nonadherence in the intervention group was respectively reduced by 38%, 46% and 50% more than the comparison group. CONCLUSIONS: CMR was found to reduce nonadherence to diabetes, hypertension and hyperlipidemia medications among older Medicare beneficiaries with AD. This provides evidence that the MTM program is effective for a population with unique medication compliance challenges.

Exploring Racial and Ethnic Disparities in Medication Adherence Among Medicare Comprehensive Medication Review Recipients.

Background: There has been a lack of evidence on whether there are racial and ethnic disparities in medication nonadherence among individuals receiving comprehensive medication review (CMR), a required component of the Medicare Part D medication therapy management (MTM) services. Objectives: To explore racial/ethnic disparities in medication nonadherence among older MTM enrollees who received a CMR and to determine how much the identified disparities can be explained by observed characteristics. Methods: The retrospective study used 100% of the 2017 Medicare claims, including MTM data. Linked Area Health Resources Files provided community characteristics. Nonadherence was defined as proportion of days covered <80%, and was measured for diabetes, hypertension, and hyperlipidemia medications. Racial/ethnic disparities were examined by logistic regressions that included racial/ethnic minority dummy variables. A nonlinear Blinder-Oaxaca decomposition method was applied to decompose the identified disparities. Results: Compared with non-Hispanic Whites (Whites), Blacks were respectively 39% (odds ratio [OR] = 1.39, 95% confidence interval [CI] = 1.33-1.45), 27% (OR = 1.27, 95% CI = 1.22-1.32), and 43% (OR = 1.43, 95% CI = 1.39-1.47) more likely to be nonadherent to diabetes, hypertension, and hyperlipidemia medications; Hispanics were 20% (OR = 1.20, 95% CI = 1.14-1.27) more likely to be nonadherent to hyperlipidemia medications. The total portion of disparity explained was 13.42%, 7.66%, 14.87%, and 10.69% respectively for disparities in Black-White (B-W) diabetes, B-W hypertension, B-W hyperlipidemia, and Hispanic-White hyperlipidemia. The top three contributors were the proportion of married-couple families, census region, and male gender. Conclusions: A lower level of community affluence and social support, regional variations, and a lower proportion of males in Blacks and Hispanics may contribute to the disparities in medication nonadherence. The large unexplained portion of the disparity attests that nonadherence is a complex issue. The Medicare MTM program needs to implement measures to reduce disparities in medication adherence.

Effects of the Medicare Part D Comprehensive Medication Review on Racial and Ethnic Disparities in Medication Adherence.

Background: Substantial research has documented inequalities between US minorities and whites in meeting the eligibility criteria for the Medicare Part D medication therapy management (MTM) program. Even though the Centers for Medicare & Medicaid Services attempted to relax the eligibility criteria, a critical barrier to effective MTM reform is a lack of stronger evidence about the effects of MTM on minorities' health outcomes. Objective: To examine the effects of comprehensive medication review (CMR), an MTM core component, on racial and ethnic disparities in adherence to diabetes, hypertension, and hyperlipidemia medications among Medicare beneficiaries aged ≥65 years. Methods: This study used full-year 2017 Medicare Parts A, B, and D claims data, including MTM data, linked to the Area Health Resources Files. Racial and ethnic disparities in nonadherence to diabetes, hypertension, and hyperlipidemia medications were compared between CMR recipients and nonrecipients matched by their propensity scores. To determine the changes in racial and ethnic disparities after receiving CMR, a difference-in-differences framework was applied, by including in logistic regression analyses interaction terms between dummy variables for CMR receipt and each racial or ethnic minority group. Results: Compared with CMR nonrecipients, CMR recipients had significantly lower racial and ethnic disparities across the 3 outcome measures, with the exception of the difference between whites and blacks in nonadherence to diabetes medications. For example, compared with CMR nonrecipients, among CMR recipients the differences in the odds of nonadherence to hypertension medications were reduced, respectively, by 8% (95% confidence interval [CI], 0.88-0.96) between whites and blacks; by 18% (95% CI, 0.78-0.86) between whites and Hispanics; by 16% (95% CI, 0.77-0.91) between whites and Asians; and by 9% (95% CI, 0.85-0.98) between whites and other racial and ethnic groups. Conclusion: Receiving a CMR reduced the racial and ethnic disparities in adherence to diabetes, hypertension, and hyperlipidemia medications among Medicare beneficiaries aged ≥65 years. These findings provide critical empirical evidence that may inform the future design of the Medicare Part D MTM program, which is valuable for improving pharmacotherapy outcomes and could further realize its potential when additional people from racial and ethnic minorities are enrolled.

Racial/ethnic disparities in measure calculations for Part D Star Ratings among Medicare beneficiaries with diabetes, hypertension, and/or hyperlipidemia.

BACKGROUND: Previous literature reported racial/ethnic disparities in the measure assessment of diabetes medication adherence in the Medicare Part D Star Ratings program. OBJECTIVE: This study examined the likelihood of inclusion in measure calculation across racial/ethnic groups for adherence metrics in Part D Star Ratings among individuals with diabetes, hypertension, and/or hyperlipidemia. METHODS: This was a retrospective cross sectional analysis of a 10% random sample of 2017 Medicare claims linked to Area Health Resources Files. Inclusion in measure calculation was determined based on inclusion/exclusion criteria in adherence metrics for adherence medications for diabetes, hypertension, and hyperlipidemia in Part D Star Ratings developed by the Pharmacy Quality Alliance. Logistic regression and multinomial logistic regression were used to adjust for patient/community characteristics. RESULTS: The study sample size was 2 707 216. Compared to Non-Hispanic White (White) beneficiaries, minorities were more likely to be excluded from measure calculation among individuals with 1 condition. For example, among individuals with hypertension, compared to White individuals, the adjusted odds ratios for exclusion for Black, Hispanic, Asian/Pacific Islander and other individuals were 1.46 (95% confidence interval, or CI = 1.42-1.50), 1.38 (95% CI = 1.33-1.43), 1.28 (95% CI = 1.21-1.35), and 1.08 (95% CI = 1.02-1.15), respectively. Among individuals with more than 1 chronic condition, minorities were more likely to be included in fewer calculations for medication adherence measures. For example, among individuals with all 3 conditions, the adjusted relative risk ratios for Black, compared to White, beneficiaries for being included in 0, 1, and 2 measures, versus all 3 measures, were 2.14 (95% CI = 1.99-2.30), 1.49 (95% CI = 1.41-1.56), 1.20 (95% CI = 1.18-1.23), respectively. CONCLUSIONS: Compared to White beneficiaries, racial/ethnic minorities are more likely to be excluded from the calculation for adherence measures among individuals with diabetes, hypertension, and/or hyperlipidemia. Future studies should examine whether such disparities exacerbate existing racial/ethnic disparities in health outcomes and devise solutions for these disparities.

Medication nonadherence, mental health, opioid use, and inpatient and emergency department use in super-utilizers.

OBJECTIVES: To examine whether mental health conditions, opioid use, and medication nonadherence are associated with inpatient and emergency department (ED) use among Medicare super-utilizers from medically underserved areas. STUDY DESIGN: Retrospective panel study. METHODS: The study included Medicare super-utilizers (≥3 hospitalizations or ≥2 hospitalizations with ≥2 ED visits in 6 months) served by a health system in a medically underserved area in the South from February 2013 to December 2014 with at least 1 filled prescription for hypertension, type 2 diabetes, cardiovascular, and/or chronic obstructive pulmonary disease/asthma medications. We used random effects negative binomial models to assess whether mental health diagnosis, opioid use, and medication nonadherence were associated with preventable and overall hospitalizations and ED visits stratified by age (18-64 vs ≥65 years). RESULTS: Overall chronic disease medication nonadherence was associated with more frequent hospitalizations and ED visits for both younger (hospitalizations: incidence rate ratio [IRR], 1.31; 95% CI, 1.16-1.47; ED visits: IRR, 1.33; 95% CI, 1.14-1.55) and older (hospitalizations: IRR, 1.34; 95% CI, 1.20-1.49; ED visits: IRR, 1.18; 95% CI, 1.02-1.38) beneficiaries. Mental health diagnosis was significantly associated with higher hospitalizations and ED visits among both age groups. Although associations between opioid medication use and inpatient and ED use were inconsistent and not significant in most cases, we found that 7 or more days' supply of opioids was associated with lower preventable hospitalizations in Medicare beneficiaries 65 years or older. CONCLUSIONS: The study findings highlight the importance of improving medication adherence and addressing behavioral health needs in Medicare super-utilizers.