Medicare Advantage Enrollment and Total Medicare Program Spending.
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| Title: | Medicare Advantage Enrollment and Total Medicare Program Spending. |
|---|---|
| Authors: | Alfrey, Brett1 (AUTHOR) brett.alfrey@elevancehealth.com, Gordon, Aliza S.1 (AUTHOR), Locke, Michelle Nguyen1 (AUTHOR), Kowalski, Jennifer L.1 (AUTHOR) |
| Source: | Inquiry (00469580). 3/23/2026, Vol. 63, p1-9. 9p. |
| Subject Terms: | *Unemployment, Medicare, Cost control, Managed care programs, Income, Statistical significance, Health policy, Medical care, Socioeconomic factors, Fee for service (Medical fees), Primary health care, Descriptive statistics, Data analysis software, Medical care costs, Poverty, Regression analysis |
| Geographic Terms: | United States |
| Abstract: | Medicare Advantage (MA) enrollment has grown significantly over the last 2 decades while Medicare program spending per capita has moderated over that same period. An open question is how the growth in MA enrollment has impacted Medicare program spending. The objective of this study is to estimate the association between MA penetration (ie, the percentage of Medicare beneficiaries enrolled in MA) and total Medicare spending per capita. We estimated linear regression models that examine the relationship between county-level MA penetration and total Medicare spending per capita. The study used county-level Medicare spending and enrollment data—including MA, Medicare Fee-for-Service, and Part D—from the Centers for Medicare & Medicaid Services from 2012 to 2021. The study included counties from all 50 states and Washington, D.C. 3045 counties were included in the analysis, which represents 97% of U.S. counties. We found that counties with higher MA penetration showed lower standardized Medicare spending per capita. Specifically, 10 percentage point higher annual MA penetration was associated with $194 lower (P <.001) total Medicare spending per capita, representing 1.5% lower spending. After adjusting risk scores to reflect the Medicare Payment Advisory Commission's estimates of higher coding intensity in MA, 10 percentage point higher annual MA penetration was associated with $146 lower (P <.001) total Medicare spending per capita, representing 1.1% lower spending. If these associations are causal in nature, then higher MA enrollment over the last 2 decades may have moderated total Medicare program spending over the same period. [ABSTRACT FROM AUTHOR] |
| Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 192503101 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Medicare Advantage Enrollment and Total Medicare Program Spending. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alfrey%2C+Brett%22">Alfrey, Brett</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> brett.alfrey@elevancehealth.com</i><br /><searchLink fieldCode="AR" term="%22Gordon%2C+Aliza+S%2E%22">Gordon, Aliza S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Locke%2C+Michelle+Nguyen%22">Locke, Michelle Nguyen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kowalski%2C+Jennifer+L%2E%22">Kowalski, Jennifer L.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 3/23/2026, Vol. 63, p1-9. 9p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Unemployment%22">Unemployment</searchLink><br /><searchLink fieldCode="DE" term="%22Medicare%22">Medicare</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+control%22">Cost control</searchLink><br /><searchLink fieldCode="DE" term="%22Managed+care+programs%22">Managed care programs</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+significance%22">Statistical significance</searchLink><br /><searchLink fieldCode="DE" term="%22Health+policy%22">Health policy</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Fee+for+service+%28Medical+fees%29%22">Fee for service (Medical fees)</searchLink><br /><searchLink fieldCode="DE" term="%22Primary+health+care%22">Primary health care</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care+costs%22">Medical care costs</searchLink><br /><searchLink fieldCode="DE" term="%22Poverty%22">Poverty</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Medicare Advantage (MA) enrollment has grown significantly over the last 2 decades while Medicare program spending per capita has moderated over that same period. An open question is how the growth in MA enrollment has impacted Medicare program spending. The objective of this study is to estimate the association between MA penetration (ie, the percentage of Medicare beneficiaries enrolled in MA) and total Medicare spending per capita. We estimated linear regression models that examine the relationship between county-level MA penetration and total Medicare spending per capita. The study used county-level Medicare spending and enrollment data—including MA, Medicare Fee-for-Service, and Part D—from the Centers for Medicare & Medicaid Services from 2012 to 2021. The study included counties from all 50 states and Washington, D.C. 3045 counties were included in the analysis, which represents 97% of U.S. counties. We found that counties with higher MA penetration showed lower standardized Medicare spending per capita. Specifically, 10 percentage point higher annual MA penetration was associated with $194 lower (P <.001) total Medicare spending per capita, representing 1.5% lower spending. After adjusting risk scores to reflect the Medicare Payment Advisory Commission's estimates of higher coding intensity in MA, 10 percentage point higher annual MA penetration was associated with $146 lower (P <.001) total Medicare spending per capita, representing 1.1% lower spending. If these associations are causal in nature, then higher MA enrollment over the last 2 decades may have moderated total Medicare program spending over the same period. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/00469580261433163 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Subjects: – SubjectFull: Unemployment Type: general – SubjectFull: Medicare Type: general – SubjectFull: Cost control Type: general – SubjectFull: Managed care programs Type: general – SubjectFull: Income Type: general – SubjectFull: Statistical significance Type: general – SubjectFull: Health policy Type: general – SubjectFull: Medical care Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Fee for service (Medical fees) Type: general – SubjectFull: Primary health care Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Medical care costs Type: general – SubjectFull: Poverty Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Medicare Advantage Enrollment and Total Medicare Program Spending. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alfrey, Brett – PersonEntity: Name: NameFull: Gordon, Aliza S. – PersonEntity: Name: NameFull: Locke, Michelle Nguyen – PersonEntity: Name: NameFull: Kowalski, Jennifer L. IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 03 Text: 3/23/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00469580 Numbering: – Type: volume Value: 63 Titles: – TitleFull: Inquiry (00469580) Type: main |
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