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      Medicare advantage and dialysis facility choice

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          Abstract

          Objective

          To compare the characteristics of dialysis facilities used by traditional Medicare (TM) and Medicare advantage (MA) enrollees with end‐stage kidney disease (ESKD).

          Data Sources

          We used 20% TM claims and 100% MA encounter data from 2018 and publicly available data from the Centers for Medicare and Medicaid Services.

          Study Design

          We compared the characteristics of the dialysis facilities treating TM and MA patients in the same ZIP code, adjusting for patient characteristics. The outcome variables were facility ownership, distance to the facility, and several measures of facility quality.

          Data Collection/Extraction

          We identified point prevalent dialysis patients as of July 15, 2018.

          Principal Findings

          Compared to TM patients in the same ZIP code, MA patients were 1.84 percentage points more likely to be treated at facilities owned by the largest two dialysis organizations and 1.85 percentage points less likely to be treated at an independently owned facility. MA patients went to further and lower quality facilities than TM patients in the same ZIP code. However, these differences in facility quality were modest. For example, while the mean dialysis facility mortality rate was 21.85, the difference in mortality rates at facilities treating MA and TM patients in the same ZIP code was 0.67 deaths per 100 patient‐years. Similarly, MA patients went to facilities that were, on average, 0.15 miles further than TM patients in the same ZIP code.

          Conclusion

          MA enrollees with ESKD were more likely than TM enrollees in the same ZIP code to use the dialysis facilities owned by the two largest chains, travel further for care, and receive care at lower quality facilities. While the magnitude of differences in facility distance and quality was modest, the direction of these results underscores the importance of monitoring dialysis network adequacy as ESKD MA enrollment continues to grow.

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          Most cited references24

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          Upcoding: Evidence from Medicare on Squishy Risk Adjustment

          In most US health insurance markets, plans face strong incentives to “upcode” the patient diagnoses they report to the regulator, as these affect the risk-adjusted payments plans receive. We show that enrollees in private Medicare plans generate 6% to 16% higher diagnosis-based risk scores than they would under fee-for-service Medicare, where diagnoses do not affect most provider payments. Our estimates imply that upcoding generates billions in excess public spending and significant distortions to firm and consumer behavior. We show that coding intensity increases with vertical integration, suggesting a principal-agent problem faced by insurers, who desire more intense coding from the providers with whom they contract.
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            Medicare Advantage Enrollees More Likely To Enter Lower-Quality Nursing Homes Compared To Fee-For-Service Enrollees

            Unlike fee-for-service (FFS) Medicare, most Medicare Advantage (MA) plans have a preferred network of care providers that serve most of a plan’s enrollees. Little is known about how the quality of care MA enrollees receive differs from that of FFS Medicare enrollees. This article evaluates the differences in the quality of skilled nursing facilities (SNFs) that Medicare Advantage and FFS beneficiaries entered in the period 2012–14. After we controlled for patients’ clinical, demographic, and residential neighborhood effects, we found that FFS Medicare patients have substantially higher probabilities of entering higher-quality SNFs (those rated four or five stars by Nursing Home Compare) and those with lower readmission rates, compared to MA enrollees. The difference between MA and FFS Medicare SNF selections was less for enrollees in higher-quality MA plans than those in lower-quality plans, but Medicare Advantage still guided patients to lower-quality facilities.
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              Medicare Advantage Ratings And Voluntary Disenrollment Among Patients With End-Stage Renal Disease

              Populations with intensive health care needs and high care costs may be attracted to insurance plans that have high quality ratings, but patients may be likely to disenroll from a plan if their care needs are not met. We assessed the association between publicly reported Medicare Advantage plan star ratings and voluntary disenrollment of incident dialysis patients in the following year over the period 2007–13. We found that Medicare Advantage (MA) plans with lower star ratings had significantly higher rates of disenrollment by incident dialysis patients in the following year. Compared to MA plans with 4.0 or more stars, adjusted disenrollment rates were 3.9 percentage points higher for plans with 3.5 stars, 5.0 percentage points higher for those with 3.0 stars, and 12.1 percentage points higher for those with 2.5 or fewer stars. These findings suggest that low plan quality may lead to increased expenditures, as this high-cost population generally must shift from Medicare Advantage to traditional Medicare upon disenrollment.
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                Author and article information

                Contributors
                jmarr5@jhu.edu
                Journal
                Health Serv Res
                Health Serv Res
                10.1111/(ISSN)1475-6773
                HESR
                Health Services Research
                Blackwell Publishing Ltd (Oxford, UK )
                0017-9124
                1475-6773
                22 March 2023
                October 2023
                22 March 2023
                : 58
                : 5 ( doiID: 10.1111/hesr.v58.5 )
                : 1035-1044
                Affiliations
                [ 1 ] Department of Health Policy and Management Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA
                [ 2 ] Johns Hopkins Carey Business School Baltimore Maryland USA
                Author notes
                [*] [* ] Correspondence

                Jeffrey Marr, BA, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 N Broadway, Baltimore, MD 21205, USA.

                Email: jmarr5@ 123456jhu.edu

                Author information
                https://orcid.org/0000-0002-3733-0244
                Article
                HESR14153
                10.1111/1475-6773.14153
                10480079
                36949731
                2fbf713c-33c7-4a30-a367-2670960ff83f
                © 2023 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                Page count
                Figures: 1, Tables: 4, Pages: 10, Words: 7243
                Funding
                Funded by: Arnold Ventures , doi 10.13039/100014848;
                Funded by: National Institute on Aging , doi 10.13039/100000049;
                Award ID: T32AG066576
                Categories
                Research Article
                Medicare & Medicaid
                Custom metadata
                2.0
                October 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.3 mode:remove_FC converted:05.09.2023

                Health & Social care
                chronic disease,health care financing/insurance/premiums,health policy/politics/law/regulation,managed care organizations (e.g., hmos/ppos/ipas),medicare,ownership/governance (for‐profit/nfp/public/chains/systems)

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