Nationwide Availability of and Enrollment in Medicare and Medicaid Dual-Eligible Special Needs Plans With Exclusively Aligned Enrollment.

Importance: In 2021, the Centers for Medicare & Medicaid Services designated a new category of dual-eligible special needs plans (D-SNPs) with exclusively aligned enrollment (receive Medicare and Medicaid benefits through the same plan or affiliated plans within the same organization). Objective: To assess the availability of and enrollment in D-SNPs with exclusively aligned enrollment and to compare the characteristics of beneficiaries enrolled in D-SNPs with exclusively aligned enrollment available vs beneficiaries without such enrollment available. Design, Setting, and Participants: Full-benefit beneficiaries enrolled in D-SNPs for 6 months or longer in 2021 or 2022. Availability of and beneficiary enrollment in D-SNPs were assessed by year and county for D-SNPs with exclusively aligned enrollment available vs D-SNPs without exclusively aligned enrollment available. The D-SNP enrollees residing in counties with aligned plans available were compared based on demographic, social, health, and area characteristics vs D-SNP enrollees in counties without such plans available. Comparisons were also made based on beneficiaries who enrolled in the aligned D-SNPs vs those who did not enroll (were enrolled in unaligned D-SNPs). The data analyses were conducted from October 1, 2023, to August 2, 2024. Main Outcomes and Measures: Availability of aligned D-SNPs and beneficiary residence by county; enrollment in exclusively aligned D-SNPs vs unaligned D-SNPs; and beneficiary demographic, social, health, and area characteristics. Results: Of 2 197 732 beneficiaries enrolled in D-SNPs in 2021, 881 736 (40.1%) were living in counties with aligned enrollment available and 251 305 (11.4%) enrolled. Of 2 689 045 beneficiaries enrolled in D-SNPs in 2022, 1 047 223 (38.9%) were living in counties with aligned enrollment available and 318 906 (11.9%) enrolled. Beneficiaries enrolled in D-SNPs residing in counties without aligned enrollment available were more likely to live in rural or micropolitan areas (21.9%) vs beneficiaries in counties with aligned enrollment available (8.1%) (standardized mean difference [SMD], 0.38 [95% CI, 0.38-0.38]), be entitled to disability (44.4% vs 27.3%, respectively; SMD, 0.36 [95% CI, 0.36-0.36]), or be Black individuals (27.4% vs 21.4%; SMD, 0.14 [95% CI, 0.14-0.14]); were less likely to be Hispanic individuals (15.4% vs 33.7%; SMD, 0.45 [95% CI, 0.45-0.45]) or Asian or Pacific Islander individuals (6.1% vs 12.2%; SMD, 0.22 [95% CI, 0.22-0.22]); and lived in zip codes with a higher area deprivation index (mean, 66.8 [SD, 26.4] vs mean, 43.2 [SD, 29.0]; SMD, 0.86 [95% CI, 0.86-0.86]). Beneficiaries enrolled in aligned D-SNPs were more likely to be receiving long-term institutionalized care vs beneficiaries in nonaligned D-SNPs (4.3% vs 1.0%, respectively; SMD, 0.24 [95% CI, 0.24-0.25]) or have dementia or Alzheimer disease (9.2% vs 5.9%; SMD, 0.13 [95% CI, 0.13-0.13]). Conclusions: This study found that availability of and enrollment in D-SNPs with exclusively aligned enrollment are increasing, but the overall proportion enrolled remains low. Further reforms are needed to promote aligned enrollment.

Resource Use and Care Quality Differences Among Medicare Beneficiaries Undergoing Chemotherapy.

Importance: Medicare Advantage (MA) has grown significantly over the last decade; however, MA's performance for patients with serious conditions, such as cancer, remains unclear. Objective: To compare resource use and care quality between MA and traditional Medicare (TM) beneficiaries undergoing cancer chemotherapy. Design, Setting, and Participants: This cohort study used TM claims and MA encounter records from January 2015 to December 2019. Participants were MA and TM beneficiaries who initiated cancer chemotherapy between January 2016 and December 2019. Inverse probability of treatment weighting balanced characteristics between MA and TM beneficiaries, and regression estimation was used. The analysis was conducted between August 2023 and May 2024. Exposure: Chemotherapy initiation after a 1-year washout period. Main Outcomes and Measures: Resource use and care quality were measured during a 6-month period following chemotherapy initiation. Resource use was measured using standardized prices for services in both MA and TM, covering hospital inpatient services, outpatient care, Part D drugs, and hospice services. Chemotherapy utilization was examined for Part B chemotherapy, Part B supportive drugs, and Part D chemotherapy. Quality measures included chemotherapy-related emergency department (ED) visits and hospitalizations, avoidable ED visits, preventable hospitalizations during the 6-month episode, and survival days up to 18 months from chemotherapy initiation. Results: The study comprised 96 501 MA enrollees contributing to 98 872 episodes (mean [SD] age, 72.9 [7.6] years; 55 859 [56.5%] female; 7371 [7.5%] Hispanic, 14 778 [14.9%] non-Hispanic Black, and 75 130 [75.0%] non-Hispanic White participants) and 206 274 TM beneficiaries, contributing 212 969 episodes (mean [SD] age, 72.7 [8.3] years; 121 263 [56.9%] female; 8356 [3.9%] Hispanic, 16 693 [7.8%] non-Hispanic Black, and 182 228 [85.6%] non-Hispanic White participants). Adjusted total resource use per enrollee during the 6-month episode was $8718 (95% CI, $8343 to $9094) lower in MA than TM ($62 599 vs $71 317). Part B chemotherapy resource use accounted for most of the difference in total resource use, with MA enrollees having $5032 (95% CI, $4772 to $5293) lower use than TM beneficiaries. Lower resource use for Part B chemotherapy in MA was associated with both fewer chemotherapy visits (-1.06 visits; 95% CI, -1.10 to -1.02 visits) and less expensive chemotherapy per visit (-$277; 95% CI, -$275 to -$179). Findings on quality were mixed, but importantly, survival did not differ between MA and TM patients who initiated chemotherapy. Conclusions and Relevance: In this cohort study of Medicare beneficiaries with cancer undergoing chemotherapy, MA enrollment was associated with lower resource use but not shorter survival.

Breast cancer screening among Medicare Advantage enrollees with dementia.

BACKGROUND: The decision to screen for breast cancer among older adults with dementia is complex and must often be individualized, as these individuals have an elevated risk of harm from over-screening. Medicare beneficiaries with dementia are increasingly enrolling in Medicare Advantage plans, which typically promote receipt of preventive cancer screening among their enrollees. This study examined the utilization of breast cancer screening among Medicare enrollees with dementia, in Medicare Advantage and in fee-for-service Medicare. METHODS: We conducted a pooled cross-sectional study of women with Alzheimer's disease and related dementias or cognitive impairment who were eligible for mammogram screening. We used Medicare Current Beneficiary Survey data to identify utilization of biennial mammogram screening between 2012 and 2019. Poisson regression models were used to estimate prevalence ratios of mammogram utilization and to calculate adjusted mammogram rates for Medicare Advantage and fee-for-service Medicare enrollees with dementia, and further stratified by rurality and by dual eligibility for Medicare and Medicaid. RESULTS: Mammogram utilization was 16% higher (Prevalence Ratio [PR] 1.16; 95% CI: 1.05, 1.29) among Medicare Advantage enrollees with dementia, compared to their counterparts in fee-for-service Medicare. Rural enrollees experienced no significant difference (PR 0.99; 95% CI: 0.72, 1.37) in mammogram use between Medicare Advantage and fee-for-service Medicare enrollees. Among urban enrollees, Medicare Advantage enrollment was associated with a 21% higher mammogram rate (PR 1.21; 95% CI: 1.09, 1.35). Dual-eligible Medicare Advantage enrollees had a 34% higher mammogram rate (PR 1.34; 95% CI: 1.10, 1.63) than dual-eligible fee-for-service Medicare enrollees. Among non-dual-eligible enrollees, adjusted mammogram rates were not significantly different (PR 1.11; 95% CI: 0.99, 1.24) between Medicare Advantage and fee-for-service Medicare enrollees. CONCLUSIONS: Medicare beneficiaries age 65-74 with Alzheimer's disease and related dementias or cognitive impairment had a higher mammogram use rate when they were enrolled in Medicare Advantage plans compared to fee-for-service Medicare, especially when they were dual-eligible or lived in urban areas. However, some Medicare Advantage enrollees with Alzheimer's disease and related dementias or cognitive impairment may have experienced over-screening for breast cancer.

Gaps In Quality Of Care Not Consistent Between Traditional Medicare, Medicare Advantage For Racial And Ethnic Groups.

The quality of care experienced by members of racial and ethnic minority groups in Medicare Advantage, which is an increasingly important source of Medicare coverage for these groups, has critical implications for health equity. Comparing gaps in Medicare Advantage and traditional Medicare for three quality-of-care outcomes, measured by adverse health events, between minority and non-Hispanic White populations, we found that the relative magnitude of the gaps varied both by racial and ethnic minority group and by quality measure. Hispanic versus non-Hispanic White gaps were smaller in Medicare Advantage than in traditional Medicare for all outcomes: avoidable emergency department use, preventable hospitalizations, and thirty-day hospital readmissions. The gap between non-Hispanic Black and non-Hispanic White populations was larger in Medicare Advantage than in traditional Medicare for avoidable emergency department use but was no different for hospital readmissions and was smaller for preventable hospitalizations. The Asian versus non-Hispanic White gap was similar in Medicare Advantage and traditional Medicare for avoidable emergency department use and preventable hospitalizations but was larger in Medicare Advantage for hospital readmissions. As Medicare Advantage enrollment expands, monitoring the quality of care for enrollees who are members of racial and ethnic minority groups will remain important.

The mechanics of risk adjustment and incentives for coding intensity in Medicare.

OBJECTIVE: To study diagnosis coding intensity across Medicare programs, and to examine the impacts of changes in the risk model adopted by the Centers for Medicare and Medicaid Services (CMS) for 2024. DATA SOURCES AND STUDY SETTING: Claims and encounter data from the CMS data warehouse for Traditional Medicare (TM) beneficiaries and Medicare Advantage (MA) enrollees. STUDY DESIGN: We created cohorts of MA enrollees, TM beneficiaries attributed to Accountable Care Organizations (ACOs), and TM non-ACO beneficiaries. Using the 2019 Hierarchical Condition Category (HCC) software from CMS, we computed HCC prevalence and scores from base records, then computed incremental prevalence and scores from health risk assessments (HRA) and chart review (CR) records. DATA COLLECTION/EXTRACTION METHODS: We used CMS's 2019 random 20% sample of individuals and their 2018 diagnosis history, retaining those with 12 months of Parts A/B/D coverage in 2018. PRINCIPAL FINDINGS: Measured health risks for MA and TM ACO individuals were comparable in base records for propensity-score matched cohorts, while TM non-ACO beneficiaries had lower risk. Incremental health risk due to diagnoses in HRA records increased across coverage cohorts in line with incentives to maximize risk scores: +0.9% for TM non-ACO, +1.2% for TM ACO, and + 3.6% for MA. Including HRA and CR records, the MA risk scores increased by 9.8% in the matched cohort. We identify the HCC groups with the greatest sensitivity to these sources of coding intensity among MA enrollees, comparing those groups to the new model's areas of targeted change. CONCLUSIONS: Consistent with previous literature, we find increased health risk in MA associated with HRA and CR records. We also demonstrate the meaningful impacts of HRAs on health risk measurement for TM coverage cohorts. CMS's model changes have the potential to reduce coding intensity, but they do not target the full scope of hierarchies sensitive to coding intensity.

Wide Variation In Differences In Resource Use Seen Across Conditions Between Medicare Advantage, Traditional Medicare.

Medicare Advantage (MA) is a rapidly growing source of coverage for Medicare beneficiaries. Examining how MA performs compared with traditional Medicare is an important policy issue. We analyzed national MA encounter data and found that the adjusted differences in resource use between MA and traditional Medicare varied widely across medical conditions in 2019. Total resource use in MA was generally lower than in traditional Medicare but by varying amounts across conditions, and it was not significantly different from traditional Medicare for some conditions. This variation was explained by resource use for hospital inpatient services in MA relative to traditional Medicare. Resource use for treatments was considerably lower in MA than in traditional Medicare across all conditions, whereas resource use for imaging and testing was consistently higher in MA for all conditions. As MA grows, efforts are needed to identify mechanisms driving differences in resource use between MA and traditional Medicare and to assess their implications for patient care.

Coding Intensity Through Health Risk Assessments and Chart Reviews in Medicare Advantage: Does It Explain Resource Use?

Medicare Advantage (MA) plans increase their risk-adjusted payments through intensive coding in health risk assessments (HRAs) and chart reviews. Whether the additional diagnoses from HRAs and chart reviews are associated with increased resource use is not known. Using national MA encounter data (2016-2019), we examine the relative contributions of three health risk scores to MA resource use: the base risk score that excludes diagnoses from HRAs and chart reviews; the incremental score added to the base score from diagnoses in HRAs; and the incremental score added from diagnoses in chart reviews. We find that the incremental risk scores explain 53.5% to 64.5% of resource use relative to the base risk score effect-that is, 35.5% to 46.5% of the incremental risk scores are not accompanied by increased resource use. While HRAs and chart reviews contribute to more complete coding of diagnoses, they are sources of intensive coding not accompanied by resource use.

Medicare Advantage Disenrollment Patterns Among Beneficiaries With Multiple Chronic Conditions.

This study examines whether Medicare Advantage (MA) enrollees with more chronic conditions were more likely to disenroll when MA enrollment grew rapidly from 2009 to 2019.

Rural-urban disparities in preventive breast and cervical cancer screening among women with early-onset dementia.

BACKGROUND: The early onset of Alzheimer's disease and related dementias (ADRD) before age 65 can introduce life and health care complications. Preserving an early-onset ADRD patient's daily functioning longer and delaying declines in health from non-ADRD conditions become important preventive goals. This study examined the differences in utilization of preventive cancer screenings between patients with and without early-onset ADRD, and compared utilization of the screenings in rural versus urban areas among women with early-onset ADRD in the United States. METHODS: We conducted a cross-sectional study of women aged 40 to 64 years eligible for mammogram and cervical cancer screenings using commercial insurance claims from 2012 to 2018. We measured the use of biennial mammogram among women 50 to 64 years old, and the use of triennial Pap smear test among women 40 to 64 years old. We used inverse probability weighted logistic regressions to estimate the odds of receiving preventive cancer screenings by the presence of early-onset ADRD or cognitive impairments (CI). We used multivariable logistic regressions to estimate the odds of receiving preventive cancer screenings by rural or urban residence among women with early-onset ADRD/CI. RESULTS: Among 6,349,308 women in the breast cancer screening sample (mean [SD] age, 56.52 [4.03] years), 36,131 had early-onset ADRD/CI (mean [SD] age, 57.99 [3.98] years). Among 6,583,088 women in the cervical cancer screening sample (mean [SD] age, 52.37 [6.81] years), 30,919 had early-onset ADRD/CI (mean [SD] age, 55.79 [6.22] years). Having early-onset ADRD/CI was associated with lower utilization of mammogram (OR: 0.92, 95% CI: 0.90-0.95). No significant difference was observed in Pap smear screening (OR: 0.99, 95% CI: 0.96-1.02) between patients with and without early-onset ADRD/CI. Among patients with early-onset ADRD/CI, those in rural areas were less likely than those in urban areas to have mammograms (OR: 0.91, 95% CI: 0.85-0.97) and Pap smears (OR: 0.65, 95% CI: 0.61-0.71). CONCLUSIONS: The observed pattern of rural-urban differences in cancer screening in our study emphasizes the need for efforts to promote evidence-based, individualized decision-making processes in the early-onset ADRD population.

Effects of Medicare eligibility and enrollment at age 65 years on the use of high-value and low-value care.

OBJECTIVE: To examine the effects of Medicare eligibility and enrollment on the use of high-value and low-value care services. DATA SOURCES/STUDY SETTING: The 2002-2019 Medical Expenditure Panel Survey. STUDY DESIGN: We employed a regression discontinuity design, which exploits the discontinuity in eligibility for Medicare at age 65 and compares individuals just before and after age 65. Our primary outcomes included the use of high-value care services (eight services) and low-value care services (seven services). To examine the effects of Medicare eligibility, we conducted a regression discontinuity analysis. To examine the effects of Medicare enrollment, we used the discontinuity in the probability of having Medicare coverage around the age eligibility cutoff and conducted an instrumental variable analysis. DATA COLLECTION/EXTRACTION METHODS: N/A. PRINCIPAL FINDINGS: Medicare eligibility and enrollment led to statistically significant increases in the use of only two high-value services: cholesterol measurement [2.1 percentage points (95%: 0.4-3.7) (2.2% relative change) and 2.4 percentage points (95%: 0.4-4.4)] and receipt of the influenza vaccine [3.0 percentage points (95%: 0.3-5.6) (6.0% relative change) and 3.6 percentage points (95%: 0.4-6.8)]. Medicare eligibility and enrollment led to statistically significant increases in the use of two low-value services: antibiotics for acute upper respiratory infections [6.9 percentage points (95% CI: 0.8-13.0) (24.0% relative change) and 8.2 percentage points (95% CI: 0.8-15.5)] and radiographs for back pain [4.6 percentage points (95% CI: 0.1-9.2) (36.8% relative change) and 6.2 percentage points (95% CI: 0.1-12.3)]. However, there was no significant change in the use of other high-value and low-value care services. CONCLUSION: Medicare eligibility and enrollment at age 65 years led to increases in the use of some high-value and low-value care services, but there were no changes in the use of the majority of other services. Policymakers should consider refining the Medicare program to enhance the value of care delivered.

Rural-Urban Disparities in Diagnosis of Early-Onset Dementia.

Importance: Limited access to appropriate specialists and testing may be associated with delayed diagnosis and symptom management for patients with early-onset Alzheimer disease and related dementias (ADRDs). Objectives: To examine rural vs urban differences in diagnostic and symptom management service use among patients with early-onset ADRDs. Design, Setting, and Participants: This cross-sectional study was conducted using commercial claims from 2012 to 2017. Included patients were those with early-onset ADRDs aged 40 to 64 years, including new patients, defined as those with no claims of ADRDs for 36 months before the first ADRD diagnosis. The likelihood of receiving diagnostic and symptom management services was estimated, with adjustment for individual-level variables associated with health care use. Data were analyzed from February 2021 to March 2022. Exposures: Rural residence. Main Outcomes and Measures: Among patients with new, early-onset ADRDs, use of psychological assessment and neuropsychological testing performed at the initial diagnosis (index date) or 90 days or less after the index date and use of brain imaging during the 180 days before the index date were collected. Access to different clinicians on the index date or 90 days or less after the index date was also collected, including visits to primary care physicians and nurse practitioners (PCPs) and specialty visits to psychologists, neurologists, and psychiatrists. Results: Among 71 799 patients with early-onset ADRD (mean [SD] age, 56.34 [6.05] years; 39 231 women [54.64%]), 8430 individuals had new early-onset ADRDs (mean [SD] age, 55.94 [6.30] years; 16 512 women [56.65%]). There were no statistically significant differences between new patients with early-onset ADRDs in rural vs urban areas in the use of psychological assessments, imaging studies, or visits to neurologists or psychiatrists. However, new patients in rural areas were less likely to receive neuropsychological testing (odds ratio [OR], 0.83; 95% CI, 0.70-0.98) or visit a psychologist (OR, 0.72; 95% CI, 0.60-0.85) compared with patients in urban areas. However, new patients in rural areas with early-onset ADRDs were more likely to have only PCP visits for diagnosis and symptom management compared with those in urban areas (OR, 1.40; 95% CI, 1.19-1.66). Conclusions and Relevance: This study found that new patients with early-onset ADRDs in rural areas were less likely to receive neuropsychological testing or visit psychologists but more likely to be diagnosed and treated exclusively by PCPs compared with those in urban areas. These findings suggest that efforts, such as clinician education or teleconsultative guidance to PCPs, may be needed to enhance access to specialist services in rural areas.

Impact of the Affordable Care Act's Physician Payments Sunshine Act on branded statin prescribing.

OBJECTIVE: To evaluate the impact of the Affordable Care Act's Physician Payments Sunshine Act (PPSA), which mandates disclosure of industry payments to physicians, on physician prescribing of branded statins. DATA SOURCES: Administrative claims data from 2011 to 2015 from three large national commercial insurers were provided by the Health Care Cost Institute. STUDY DESIGN: We adopted a difference-in-differences and event study design, leveraging the control group of physicians in two states, MA and VT, which implemented state laws on disclosure of industry payments prior to the national PPSA. To further address potential confounding caused by differences in prescribing patterns across states, our analytical sample includes physicians practicing in border counties between the treatment (NH, NY, and RI) and control (MA and VT) states. DATA COLLECTION: We restricted our sample to physicians who had at least 50 new-fill prescription claims for statins during the five-year study period, with at least one new-fill prescription claim each year. PRINCIPAL FINDINGS: We found that the PPSA led to a 7% (p < 0.001) reduction in monthly new prescriptions of brand-name statin over the study period, with little change in generic prescribing. The reduction in branded prescriptions was concentrated among physicians with the highest tercile of drug spending pre-PPSA, with a decrease of 15% (p < 0.001) in new branded statin prescriptions. The decline was most prominent after mandated reporting of industry payments began before the payment data was published. CONCLUSIONS: The PPSA may have achieved its intended effect of reducing branded prescriptions at least in the short run, particularly among physicians most likely to have engaged in excessive or low-value prescribing of branded drugs.

Implementation of resource use measures in Medicare Advantage.

OBJECTIVE: To complement the previously illustrated method to measure resource use in Medicare Advantage (MA) using Encounter data and provide technical details and SAS code to validate Encounter data and implement resource use measures in MA. DATA SOURCES: 2015-2018 MA Encounter, Medicare Provider Analysis and Review (MedPAR), Healthcare Effectiveness Data and Information System (HEDIS), and Traditional Medicare (TM) claims data. STUDY DESIGN: Secondary data analysis. DATA COLLECTION/EXTRACTION METHODS: We select MA contracts with high data completeness (≤10% missing hospital stays in Encounter data and ≤±10% difference in ambulatory and emergency department visits between Encounter and HEDIS data). We randomly sample TM beneficiaries with a similar geographic distribution as MA enrollees in the selected contracts. We develop standardized prices of services using TM payments, and we measure MA resource use for inpatient, outpatient, Part D, and hospice services. PRINCIPAL FINDINGS: We report identifiers/names of contracts with high data completeness. We provide SAS code to manage Encounter data, develop standardized prices, and measure MA resource use. CONCLUSIONS: Greater use and validation of Encounter data can help improve data quality. Our results can be used to inform studies using Encounter data to learn about MA performance.

Disparities in the quality of care for chronic hepatitis C among Medicare beneficiaries.

PURPOSE: Chronic hepatitis C virus (HCV) infection is an important public health concern. Limited information exists on disparities in the quality of HCV care. We examine disparities in genotype or quantitative HCV ribonucleic acid testing before and after starting HCV treatment, and screening for hepatocellular carcinoma (HCC) in HCV patients with cirrhosis. METHODS: This national study included Medicare beneficiaries with HCV between 2014 and 2017. We used bivariate probit to estimate the probability of receiving recommended tests before and after HCV treatment by patient race/ethnicity, urban/rural residence, and socioeconomic status. We used multivariate logistic regression to estimate adjusted odds ratios (aOR) of HCC screening among beneficiaries with cirrhosis by patient factors. FINDINGS: Of 41,800 Medicare patients with HCV treatment, 93.47% and 84.99% received pre- and post-treatment testing. Patients in racial minority groups had lower probabilities of pre- and post-treatment testing than whites. Rural residents were less likely to receive a post-treatment test (Coef. = -0.06, 95% CI: -0.11, -0.01). Among HCV patients with cirrhosis, 40% (24,021) received at least one semi-annual HCC screening during the study period. The odds of HCC screening were 14% lower in rural than in urban patients (aOR = 0.86, 95% CI: 0.80, 0.92), lower in African Americans (aOR = 0.93, 95% CI: 0.90, 0.96), but higher among Hispanics than in whites (aOR = 1.09, 95% CI: 1.04, 1.15). There was no significant association between ZIP-level income or education and HCC screening. CONCLUSIONS: Disparities in the quality of HCV care existed by patient race/ethnicity, urban/rural residence, and socioeconomic status. Continued efforts are needed to improve the quality of care for all HCV patients-especially rural patients and racial/ethnic minorities.

Periodontal Disease and Risk of Dementia in Medicare Patients with Hepatitis C Virus.

BACKGROUND: Periodontal disease and hepatitis C virus (HCV) represent chronic infectious states that are common in elderly adults. Both conditions have independently been associated with an increased risk for dementia. Chronic infections are thought to lead to neurodegenerative changes in the central nervous system possibly by promoting a proinflammatory state. This is consistent with growing literature on the etiological role of infections in dementia. Few studies have previously evaluated the association of periodontal disease with dementia in HCV patients. OBJECTIVE: To examine whether periodontal disease increases the risk of developing Alzheimer's disease and related dementias (ADRD) among HCV patients in Medicare claims data. METHODS: We used Medicare claims data for HCV patients to assess the incidence rate of ADRD with and without exposure to periodontal disease between 2014 and 2017. Cox multivariate regression was used to estimate the association between periodontal disease and development of ADRD, controlling for age, gender, race, ZIP-level income and education, and medical comorbidities. RESULTS: Of 439,760 HCV patients, the incidence rate of ADRD was higher in patients with periodontal diseases compared to those without (10.84% versus 9.26%, p < 0.001), and those with periodontal disease developed ADRD earlier compared to those without periodontal disease (13.99 versus 21.60 months, p < 0.001). The hazard of developing ADRD was 1.35 times higher in those with periodontal disease (95% CI, 1.30 to 1.40, p < 0.001) after adjusting for all covariates, including age. CONCLUSION: Periodontal disease increased the risk of developing ADRD among HCV patients in a national Medicare claims dataset.

Effects of direct-acting antiviral treatment on reducing mortality among Medicare beneficiaries with HIV and HCV coinfection.

Hepatitis C virus (HCV) infection is common among people living with HIV. HIV and HCV coinfected patients have higher overall mortality rates compared with HIV mono-infected patients. With its high cure rate of HCV infection, direct-acting antiviral (DAA) treatment provides an opportunity to improve the survival of the HIV/HCV coinfected population. The objective of this study is to investigate the association between DAA treatment and all-cause mortality among HIV/HCV coinfected people. The study included 7103 Medicare beneficiaries in the United States who were infected with both HIV and HCV between 2014 and 2017. Cox proportional hazards regression model was used to estimate adjusted hazard ratios (aHRs) of death for patients with and without DAA treatment while controlling for patient characteristics. During the study period, 1675 patients initiated DAA treatment (23.6%). The adjusted hazard ratio (aHR) of all-cause mortality between patients with and without DAA treatment was 0.37 (95% CI, 0.29-0.48), regardless of cirrhosis status. DAA treatment was associated with a smaller reduction in all-cause mortality for females (aHR, 0.50 [95% CI, 0.30-0.85]) compared with males (aHR, 0.34 [95% CI, 0.25-0.46]). DAA treatment was associated with improved survival among all HIV/HCV coinfected patients regardless of sex or HCV disease progression.

Measuring resource use in Medicare Advantage using Encounter data.

OBJECTIVE: To check the completeness of Medicare Advantage (MA) Encounter data and to illustrate a process to measure resource use among MA enrollees using Encounter data. DATA SOURCES: 2015 Preliminary MA Encounter, Medicare Provider Analysis and Review (MedPAR), Healthcare Effectiveness Data and Information System (HEDIS), and 2013 Traditional Medicare (TM) claims data. STUDY DESIGN: Secondary data analysis. DATA COLLECTION/EXTRACTION METHODS: We calculated the percentage of each contract's total hospitalizations in Encounter data after identifying total inpatient stays from Encounter and MedPAR data. We constructed each contract's ambulatory visits and emergency department (ED) visits per 1000 enrollees using Encounter data and compared those visit counts with the counts from HEDIS. We defined high data completeness as having less than 10% missing hospital stays and less than ±10% difference in ambulatory and ED visits between Encounter and HEDIS data. We used TM payments as standardized prices of services to examine resource use among MA enrollees with cancer in the contracts with high data completeness. PRINCIPAL FINDINGS: We identified 83 of 380 MA contracts with high data completeness. Total resource use per enrollee with cancer in the 83 contracts was $14,715 in 2015. Service-specific resource use was $5342 for inpatient care, $5932 for professional services and $3441 for outpatient facility services. These represent what an MA enrollee with cancer would have cost on average if MA plans paid providers at TM payment rates, holding the observed utilization constant. CONCLUSIONS: Checking the completeness of Encounter data is an important step to ensure the validity of research on MA resource use. Using Encounter data to measure MA resource use is feasible. It can compensate for the lack of payment information in Encounter data. It will be important to identify and refine ways to best use Encounter data to learn about care provision to MA enrollees.

Low Utilization of Direct-Acting Antiviral Agents in a Large National Cohort of HIV and HCV Coinfected Medicare Patients in the United States: Implications for HCV Elimination.

Hepatitis C virus (HCV) infection is common in people living with HIV/AIDS (PLWHA). The advent of direct-acting antiviral agents (DAAs) has made HCV elimination a realistic goal. We conducted a retrospective cohort study using the US Medicare Fee-For-Service claims data and outpatient prescription drug data to assess the HCV DAA initiation and completion among newly diagnosed HIV-HCV-coinfected Medicare patients enrolled in 2014-2016. DAA initiation was defined as filling at least 1 prescription of DAAs during 2014-2016. DAA completion was defined as taking an 8-week or longer DAA treatment course for patients without cirrhosis and a 12-week or longer treatment duration for those with cirrhosis. Among 12 152 HIV-HCV-coinfected Medicare patients, 20.9% received the DAA treatment in 2014-2016. The average time from HCV diagnosis to DAA initiation was 277 days. The overall DAA completion rate was 92% among 2537 patients who used DAAs. Interventions are needed to improve DAA uptake in PLWHA.

Association of the Extension for Community Healthcare Outcomes Project With Use of Direct-Acting Antiviral Treatment Among US Adults With Hepatitis C.

Importance: Direct-acting antiviral (DAA) medications are highly effective in treating hepatitis C virus (HCV) infection. However, use of DAAs in rural and underserved areas is low owing to limited access to specialist physicians with experience in care of HCV infection. Project ECHO (Extension for Community Healthcare Outcomes) is a distance education model that trains primary care physicians to improve access to care for underserved populations with complex diseases such as HCV infection. Evidence on whether Project ECHO is associated with increased DAA use is limited. Objective: To examine the association between Project ECHO and use of DAA treatment in patients with HCV infection. Design, Setting, and Participants: This cohort study used data from Medicare beneficiaries who newly sought care for HCV infection between January 1, 2014, and December 31, 2017. Data were analyzed between September and December 2020. Exposures: Project ECHO. Main Outcomes and Measures: Use of DAA treatment. Discrete-time hazard models with state and year fixed effects were used to examine the association between Project ECHO and DAA use in rural areas and areas with low specialist density. Results: A total of 267 908 patients (mean [SD] age, 60.7 [11.5] years; 57.9% male; 66.6% White patients) were included in the analysis. For every 100 clinicians attending a Project ECHO training, the odds of DAA treatment initiation among patients with HCV infection increased by 9% (adjusted odds ratio [OR], 1.09; 95% CI, 1.07-1.11; P < .001) in nonrural areas with specialist density equaling 0. The association between DAA use and Project ECHO was stronger in areas with lower vs higher specialist density. For every additional 100 Project ECHO participants, the odds of DAA use decreased by 1% as specialist density in the area increased (adjusted OR, 0.99; 95% CI, 0.98-1.00; P = .03). There was no association between Project ECHO and the odds of receiving DAAs among patients in rural vs urban areas (adjusted OR, 1.01; 95% CI, 0.99-1.02; P = .49). Conclusions and Relevance: In this cohort study, implementation of Project ECHO was associated with increased DAA use in areas with few specialist physicians, suggesting that Project ECHO may enhance access to DAA treatment through expanding the capacity of primary care physicians to treat HCV infection, especially in underserved areas.