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.

Understanding factors associated with increases in Medicare Advantage enrollment, 2007-2018.

OBJECTIVES: Private managed care plans in the Medicare Advantage (MA) program have been gaining market share relative to traditional fee-for-service Medicare (TM), yet there are no obvious structural changes to Medicare that would explain this growth. Our goal is to explain the growth in MA market share during a period when it increased dramatically. STUDY DESIGN: Data are drawn from a representative sample of the Medicare population from 2007 to 2018. METHODS: We decomposed MA growth into changes in the values of explanatory variables that influence MA enrollment (eg, income and payment rate) and changes in preferences for MA vs TM (estimated coefficients) using a nonlinear version of the Blinder-Oaxaca decomposition to distinguish the sources of MA growth. We find that the relatively smooth growth in MA market share masks 2 distinct growth periods. RESULTS: From 2007 to 2012, 73% of the increase was due to changes in the values of the explanatory variables, and only 27% was due to changes in coefficients. In contrast, from 2012 to 2018, changes in explanatory variables, particularly MA payment levels, would have led to a decline in MA market share if that effect had not been offset by changes in the coefficients. CONCLUSIONS: Overall, we find that MA is becoming more appealing to more educated and nonminority beneficiaries than in the past, although minority and lower-income beneficiaries are still more likely to pick the program. Over time, if preferences continue to shift, the nature of the MA program will change as it moves more toward the middle of the Medicare distribution.

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.

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.

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.

Use of Direct-Acting Antiviral Agents and Survival Among Medicare Beneficiaries with Dementia and Chronic Hepatitis C.

BACKGROUND: Many patients with Alzheimer's disease and related dementia (ADRD) have chronic hepatitis C due to the high prevalence of both conditions among elderly populations. Direct-acting antivirals (DAAs) are effective in treating hepatitis C virus (HCV). However, the complexity of ADRD care may affect DAA use and outcomes among patients with HCV and ADRD. Little information exists on uptake of DAAs, factors associated with DAA use, and health benefits of DAAs among patients with HCV and ADRD. OBJECTIVE: To examine use and survival benefits of DAAs in Medicare patients with HCV and ADRD. METHODS: The study included Medicare patients with HCV between 2014 and 2017. We estimated Cox proportional hazards regressions to examine the association between having ADRD and DAA use, and the relation between DAA use and survival among patients with HCV and ADRD. RESULTS: The adjusted hazard of initiating a DAA was 50% lower in patients with ADRD than those without ADRD (adjusted HR = 0.50, 95% CI: 0.46-0.54). The hazard of DAA use among ADRD patients with behavioral disturbances was 68% lower than non-ADRD patients (adjusted HR = 0.32, 95% CI: 0.28-0.37). DAA treatment was associated with a significant reduction in mortality among ADRD patients (adjusted HR = 0.52, 95% CI: 0.44-0.61). CONCLUSION: The rate of DAA treatment in patients with HCV and ADRD was low, particularly among those with behavioral disturbance. The survival benefits of DAA treatment for patients with ADRD were substantial.

Association of Direct-Acting Antiviral Therapy for Hepatitis C With After-Treatment Costs Among Medicare Beneficiaries.

Importance: Direct-acting antiviral (DAA) therapy for hepatitis C is highly effective but expensive. Evidence is scarce on whether DAA therapy reduces downstream medical costs. Objective: To examine the association of DAA therapy with posttreatment medical costs among Medicare beneficiaries. Design, Setting, and Participants: This retrospective cohort study obtained data from various Medicare claims files for 2013 to 2017. The study population comprised patients with a hepatitis C diagnosis in 2014 who were enrolled in fee-for-service Medicare and Part D. Multivariate regression models were used to compare changes in medical costs over a 30-month posttreatment follow-up period between patients who used DAA therapy (treatment group) and a propensity score-matched cohort of patients who did not use DAA (control group). The model was estimated separately for patients with and those without cirrhosis. Data were analyzed between September 1, 2019, and March 31, 2020. Exposures: Completion of DAA therapy. Main Outcomes and Measures: Two outcomes were established: hepatitis C or liver disease-related costs and total medical costs. Costs were measured by Medicare-allowed payments, which included Medicare reimbursements, patient responsibilities, and third-party payments. Results: A propensity score-matched cohort of 15 198 patients (9038 men [59.5%]; mean [SD] age, 60.2 [10.8] years) was analyzed. During the first 6 months after DAA therapy, hepatitis C or liver disease-related costs decreased by $2498 (95% CI, -$3356 to -$1640) in patients with cirrhosis and by $486 (95% CI, -$603 to -$369) in patients without cirrhosis compared with control or untreated patients. Cumulative reductions in hepatitis C or liver disease-related costs during 30 months after DAA treatment were $15 808 (95% CI, -$22 530 to -$9085) in patients with cirrhosis and $5372 (95% CI, -$6384 to -$4360) in patients without cirrhosis. Among those who used DAA therapy compared with control patients, total medical costs decreased by $2905 (95% CI, -$4832 to -$979) in patients with cirrhosis and by $1287 (95% CI, -$2393 to -$283) in patients without cirrhosis during the first 6 months after DAA therapy. No statistically significant association was found between DAA therapy and total medical cost reductions after 12 months of follow-up. Cumulative reductions in total costs during 30 months after DAA therapy were $7074 (95% CI, -$18 448 to $4298) in patients with cirrhosis and $7497 (95% CI, -$14 287 to -$709) in patients without cirrhosis. Conclusions and Relevance: This study reported that DAA therapy appeared to be associated with a decrease in hepatitis C or liver disease-related costs for 30 months after treatment and with reduction in total medical costs for only 12 months after treatment in patients with or without cirrhosis. Longer-term follow-up studies with diverse outcomes are necessary to assess the value of DAA therapy.

Association of Direct-Acting Antiviral Treatment With Mortality Among Medicare Beneficiaries With Hepatitis C.

Importance: Direct-acting antiviral (DAA) drugs are highly effective in curing hepatitis C virus (HCV) infection. Previous simulations showed extended life as a key health advantage of DAA drugs, but real-world evidence on the association between DAA treatment and reduced mortality is limited. Objectives: To examine the association of DAA treatment with mortality among Medicare beneficiaries with hepatitis C. Design, Setting, and Participants: This cohort study used Medicare claims data of beneficiaries who sought hepatitis C care for the first time between January 1, 2014, and December 31, 2016, after at least a 1-year washout period. Medicare Part D files were used in identifying DAA therapy initiation and completion. Death dates, demographic data, and indicators of health risks were obtained from the Master Beneficiary Summary Files. Beneficiaries with hepatitis C were considered as patients with DAA treatment if they initiated DAA therapy during the study period. Beneficiaries with hepatitis C who did not initiate DAA therapy during the study period were considered as patients without DAA treatment. Patients without DAA treatment were selected using 1-to-1 propensity score matching. Data were analyzed between September 1, 2019, and March 31, 2020. Exposures: Completion of DAA treatment. Main Outcomes and Measures: Time to death from the index date of seeking hepatitis C care after at least a 1-year washout period. Cox proportional hazards regression models with time-varying exposure were used to compare mortality rates between propensity score-matched cohorts of patients with DAA treatment and those without DAA treatment. Separate analyses were performed for patients with or without cirrhosis. Heterogeneity in the association between DAA treatment and mortality by sex and dual-eligibility status was examined. Results: A propensity score-matched sample of 51 478 Medicare beneficiaries with a mean (SD) age of 59.4 (11.1) years and 30 473 men (59.2%) was assessed. Of this total, 8240 patients (16.0%) had cirrhosis (5224 men [63.4%]; mean [SD] age, 62.3 [9.7] years) and 43 238 patients (84.0%) had no cirrhosis (25 249 men [58.4%]; mean [SD] age, 58.8 [11.3] years). The adjusted hazard ratio (HR) of dying between patients with DAA treatment and those without DAA treatment in the cirrhosis group was 0.51 (95% CI, 0.46-0.57). The association of DAA treatment with mortality did not differ by sex (women vs men: HR, 0.46 [95% CI, 0.38-0.56] vs HR, 0.53 [95% CI, 0.47-0.60]; P = .27) or dual-eligibility status (non-dual-eligible HR, 0.52 [95% CI, 0.43-0.63] vs dual-eligible HR, 0.50 [95% CI, 0.44-0.57]; P = .80) in the cirrhosis group. The adjusted HR of dying between patients with DAA treatment and those without DAA treatment among patients without cirrhosis was 0.54 (95% CI, 0.50-0.58). The association of DAA treatment with mortality did not differ by sex (women vs men: HR, 0.53 [95% CI, 0.46-0.60] vs HR, 0.55 [95% CI, 0.50-0.60]; P = .66) among patients without cirrhosis. However, the survival advantage associated with DAAs for non-dual-eligible beneficiaries was statistically significantly higher than for dual-eligible beneficiaries among patients without cirrhosis (HR, 0.47 [95% CI, 0.41-0.55] vs HR, 0.57 [95% CI, 0.52-0.62]; P = .02). Conclusions and Relevance: In this cohort study, DAA treatment appeared to be associated with a decrease in mortality among Medicare beneficiaries with or without cirrhosis. These findings suggest that increasing access to DAA drugs for all patients with HCV infection, regardless of disease progression, could improve population health.

Switching Costs in Medicare Advantage.

This paper estimates the magnitude of switching costs in the Medicare Advantage program. Consumers are generally assumed to pick plans that provide the combination of benefits and premiums that maximize their individual utility. However, the plan choice literature has generally omitted prior choices from choice models. The analysis is based on five years of the Medicare Current Beneficiary Survey, a nationally representative longitudinal dataset. The MCBS data were combined with data on Medicare Advantage Part C plan benefits and premiums. Individual choices are modeled as a function of individual characteristics, plan characteristics and prior year plan choices using a mixed logit model. We found relatively high rates of switching between plans within insurer (20%), although less switching between insurers. Prior year plan choices were highly significant at both the contract and plan level. Premium was negative and significant. Loyalty (contract and plan), premium and plan structure were found to be heterogeneous in preferences. We found a statistically significant willingness to pay for a lower prescription drug deductible and lower copays. Switching costs were higher for sicker individuals. Switching costs between plans offered by the same insurer are far lower than switching costs between insurers; beneficiaries will switch plans if an alternative is perceived as $233 a month better than the current choice and switch insurers if the alternative is perceived as $944 better than the current plan/contract, on average. Premium elasticities would be 34% greater in magnitude if prior choices were irrelevant. We provide evidence that the state dependence is structural rather than spurious.

Discontinuation of new hepatitis C drugs among Medicare patients.

OBJECTIVES: To examine factors associated with discontinuation of new hepatitis C drugs-second-generation direct-acting antivirals (DAAs)-among Medicare beneficiaries with chronic hepatitis C. STUDY DESIGN: A retrospective analysis using 2014-2016 Medicare claims. METHODS: The study population was patients with chronic hepatitis C in fee-for-service Medicare with Part D who initiated a DAA therapy between January 1, 2014, and September 1, 2016. We defined discontinuation of DAA therapy as filling prescriptions for fewer weeks than the expected duration of the DAA identified. We estimated adjusted odds ratios (aORs) of DAA discontinuation by patient characteristics using multivariable logistic regression. We estimated the model separately for patients with a Part D low-income subsidy (LIS) and those without an LIS. RESULTS: Of 82,056 patients who initiated a DAA therapy during the study period, 5171 (6.3%) did not complete the therapy. Discontinuation rates varied across DAAs, ranging from 4.7% (elbasvir/grazoprevir) to 11.8% (ombitasvir/paritaprevir/ritonavir/dasabuvir). Women with an LIS were more likely to discontinue DAA therapy than men with an LIS (aOR, 1.16; 95% CI, 1.08-1.25; P <.01). Non-LIS black and Hispanic patients had higher odds of discontinuation than non-LIS white patients (black: aOR, 1.49; 95% CI, 1.28-1.73; P <.01; Hispanic: aOR, 1.56; 95% CI, 1.01-2.44; P <.05). High comorbidity index score increased the odds of DAA discontinuation among patients with an LIS. CONCLUSIONS: Real-world discontinuation of DAA therapy was low, but it was 3 times more likely than in clinical trials and varied by patient characteristics. Efforts to increase DAA adherence would help lower patients' risk of developing resistance to future treatments and reduce potential waste of resources.

Racial/Ethnic and Socioeconomic Disparities in Use of Direct-Acting Antivirals Among Medicare Beneficiaries with Chronic Hepatitis C, 2014-2016.

BACKGROUND: New hepatitis C virus (HCV) drugs-direct-acting antivirals (DAAs)-are highly effective but costly, which raises a concern about limited access to DAAs by vulnerable populations. Previous studies of disparities in DAA use across patient groups showed mixed results, but their generalizability was limited due to using data from commercial insurers or from 2014 only-the first year DAAs were available. Disparities in DAA use in a national cohort in the years when more DAAs were available is unknown. OBJECTIVE: To examine whether disparities in DAA use by patient race/ethnicity and socioeconomic status in Medicare changed between 2014 and 2016. METHODS: The study population was made up of chronic hepatitis C patients in fee-for-service Medicare with Part D between 2014 and 2016. We used multinomial logistic regression to estimate adjusted odds ratios (aOR) of using DAAs by patient race/ethnicity and socioeconomic status. We estimated the model separately for 2014 and 2014-2016. RESULTS: Of 281,810 Medicare patients who were followed to the end of 2016, a total of 90,419 (32.1%) filled prescriptions for DAAs. In the 2014 analysis, blacks were less likely to use DAAs than whites (aOR = 0.95; 95% CI = 0.91-0.99). However, in the 2014-2016 analysis, blacks had higher odds of using DAAs than whites (aOR = 1.24; 95% CI = 1.22-1.27). No significant Hispanic-white gap existed during the study period. Income was positively associated with DAA use in both periods. Between 2014 and 2016, patients who received a Part D low-income subsidy had lower odds of using DAAs than patients who did not (aOR = 0.90; 95% CI = 0.88-0.92), and patients in areas with the higher income tertiles were more likely to initiate DAAs than those in areas with the lowest income tertile. CONCLUSIONS: DAA use among Medicare patients remained far below the level needed to eradicate HCV. The black-white gap in HCV treatment was closed by 2016, but disparities by patient socioeconomic status remained. DAA use also varied by patient age and health risk, as well as across geographic regions. Continued efforts to improve DAA uptake in all HCV patients are needed to eradicate HCV. DISCLOSURES: This study was supported by the National Institute on Aging (1 R01 AG055636-01A1) and National Institute of Child Health & Human Development (R24 HD04025). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Feldman owns stock in Gilead Sciences and Abbvie. No other potential competing interest exists.

The impact of integration on outpatient chemotherapy use and spending in Medicare.

Hospital-physician integration has substantially grown in the United States for the past decade, particularly in certain medical specialties, such as oncology. Yet evidence is scarce on the relation between integration and outpatient specialty care use and spending. We analyzed the impact of oncologist integration on outpatient provider-administered chemotherapy use and spending in Medicare, where prices do not depend on providers' integration status or negotiating power. We addressed oncologists' selective integration and patients' nonrandom choice of oncologists using an instrumental variables method. We found that integrated oncologists reduced the quantity of outpatient chemotherapy drugs but used more expensive treatments. This led to an increase in chemotherapy-drug spending after integration. These findings suggest that changes in treatment patterns-treatment mix and quantity-may be an important mechanism by which integration increases spending. We also found that integration increased spending on chemotherapy administration (the act of injection). This is because integration shifted billing of chemotherapy to hospital outpatient departments, where Medicare payments for chemotherapy administration are higher than those in physician offices. As integration increases, efforts should continue to assess how integration influences patient care and explore policy options to ensure desirable outcomes from integration.

The Relationships Between Cold Ischemia Time, Kidney Transplant Length of Stay, and Transplant-related Costs.

BACKGROUND: Recent changes in policies guiding allocation of transplant kidneys are predicted to increase sharing between distant geographic regions. The potential exists for an increase in cold ischemia time (CIT) with resulting increases in delayed graft function (DGF) and transplant-related costs (TRC). We sought to explore the impact of CIT on metrics that may influence TRC. METHODS: Between 2006 and 2014, 81 945 adult solitary deceased donor kidney transplants were performed in the United States; 477 (0.6%) at our institution. Regression models were constructed to describe the relationship between CIT on DGF and length of stay (LOS). Using hospital accounting data, we created regression models to evaluate the effect of DGF on LOS and TRC. RESULTS: In multivariable models, longer CIT was associated with an increased rate of DGF (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.38-1.44) and increased LOS (OR, 1.04; 95% CI, 1.02-1.05). Recipients at our institution who developed DGF had longer LOS (OR, 1.71; 95% CI, 1.50-1.95), suggesting that the effect is partially mediated by DGF. After adjusting for LOS, neither CIT nor DGF were independently associated with increased TRC. However, an increased LOS resulted in an increase in TRC by US $3422 (95% CI, US $3180 to US $3664) per additional day, indicating that the effect of CIT on TRC is partially mediated through LOS. CONCLUSIONS: The prolongation of CIT is associated with an increase in DGF rates and LOS, resulting in increased TRC. This study raises the need to balance increased access of traditionally underserved populations to kidney transplant with the inadvertent increase in TRC.

The authors respond and stand behind their findings.

Our study provides the first evidence on site-specific Medicare spending on chemotherapy adjusting for patient comorbid illnesses, cancer type, and other cancer-related risks.

Differences in spending on provider-administered chemotherapy by site of care in Medicare.

OBJECTIVES: To compare Medicare spending on provider-administered chemotherapy in hospital outpatient departments (HOPDs) and physician offices after controlling for cancer type. STUDY DESIGN: Secondary data analysis. METHODS: We used 2010-2013 claims data for a random sample of Medicare fee-for-service beneficiaries who had cancer and received chemotherapy services either in physician offices or in HOPDs. We constructed 2 spending measures: (1) spending on chemotherapy drugs and (2) spending on chemotherapy administration. Each spending measure was the allowed payment, which includes both Medicare reimbursement and patient out-of-pocket spending. We compared the spending measures in the 2 care settings using regression analysis to control for certain patient risk factors, including cancer type. We also compared the number of chemotherapy and administration claims per beneficiary and spending per claim by cancer type to understand differences in utilization patterns in the 2 care settings. RESULTS: Risk-adjusted chemotherapy drug spending per beneficiary was $2451 lower in HOPDs compared with physician offices. Risk-adjusted chemotherapy administration spending was $322 higher in HOPDs than in physician offices. Patients in physician offices received chemotherapy drugs more frequently than those in HOPDs. However, the chemotherapy spending per claim line was higher in HOPDs than physician offices. CONCLUSIONS: Chemotherapy drug spending per Medicare beneficiary was lower in HOPDs than in physician offices, driven by less frequent use of chemotherapy in HOPDs. As the site of provider-administered chemotherapy shifts from physician offices to HOPDs, continuing assessment of cancer care spending by site of care is necessary.