Literature DB >> 31860233

Delivery system performance as financial risk varies.

Joseph P Newhouse1, Mary Price, John Hsu, Bruce Landon, J Michael McWilliams.   

Abstract

OBJECTIVES: Banner Health, a large delivery system in Maricopa County, Arizona, entered into both Medicare and commercial insurance contracts that varied the amount of financial risk that Banner assumed. Rates of utilization and spending under these various contracts were investigated. STUDY
DESIGN: Prior to 2012, Banner held Medicare Advantage (MA) contracts, and in 2012 it began as a Medicare Pioneer accountable care organization (ACO). Banner also introduced a commercial ACO contract in that year. We compared risk-adjusted healthcare utilization and spending in the MA plan, the ACO, and a local traditional Medicare (TM) comparison group. We also compared risk-adjusted utilization and spending in Banner's commercial ACO with that of a comparison group drawn from the same employment groups who were not attributed to Banner providers.
METHODS: We used claims and encounter data to measure utilization and spending. We risk adjusted using CMS and HHS Hierarchical Condition Categories.
RESULTS: Within Medicare, MA enrollees had lower risk-adjusted utilization and total spending than either the Pioneer ACO participants or a local TM comparison group. Participation in the Pioneer ACO program was associated with a greater reduction in hospitalization rates for ACO patients relative to local TM patients served by non-ACO providers, but the effect on total medical spending was ambiguous. Risk-adjusted differences between the commercial ACO group and the fee-for-service comparison group were generally small.
CONCLUSIONS: The results are consistent with CMS' efforts to shift reimbursement away from pure fee-for-service reimbursement.

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Mesh:

Year:  2019        PMID: 31860233      PMCID: PMC7412600     

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  11 in total

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2.  Association of Pioneer Accountable Care Organizations vs traditional Medicare fee for service with spending, utilization, and patient experience.

Authors:  David J Nyweide; Woolton Lee; Timothy T Cuerdon; Hoangmai H Pham; Megan Cox; Rahul Rajkumar; Patrick H Conway
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5.  Matching and Regression to the Mean in Difference-in-Differences Analysis.

Authors:  Jamie R Daw; Laura A Hatfield
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6.  Measuring coding intensity in the Medicare Advantage program.

Authors:  Richard Kronick; W Pete Welch
Journal:  Medicare Medicaid Res Rev       Date:  2014-07-17

7.  Prices for physician services in Medicare Advantage versus traditional Medicare.

Authors:  Julius L Chen; Andrew L Hicks; Michael E Chernew
Journal:  Am J Manag Care       Date:  2018-07       Impact factor: 2.229

8.  Changes in health care spending and quality 4 years into global payment.

Authors:  Zirui Song; Sherri Rose; Dana G Safran; Bruce E Landon; Matthew P Day; Michael E Chernew
Journal:  N Engl J Med       Date:  2014-10-30       Impact factor: 91.245

9.  Medicare Spending after 3 Years of the Medicare Shared Savings Program.

Authors:  J Michael McWilliams; Laura A Hatfield; Bruce E Landon; Pasha Hamed; Michael E Chernew
Journal:  N Engl J Med       Date:  2018-09-05       Impact factor: 91.245

10.  Early Performance of Accountable Care Organizations in Medicare.

Authors:  J Michael McWilliams; Laura A Hatfield; Michael E Chernew; Bruce E Landon; Aaron L Schwartz
Journal:  N Engl J Med       Date:  2016-04-13       Impact factor: 91.245

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  1 in total

1.  Association Between Medicare Program Type and Health Care Access, Acute Care Utilization, and Affordability Among Adults With Cardiovascular Disease.

Authors:  Andrew S Oseran; Tianyu Sun; Rahul Aggarwal; Ashley Kyalwazi; Robert W Yeh; Rishi K Wadhera
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2022-09-02
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