Literature DB >> 27140993

Traditional Medicare Versus Private Insurance: How Spending, Volume, And Price Change At Age Sixty-Five.

Jacob Wallace1, Zirui Song2.   

Abstract

To slow the growth of Medicare spending, some policy makers have advocated raising the Medicare eligibility age from the current sixty-five years to sixty-seven years. For the majority of affected adults, this would delay entry into Medicare and increase the time they are covered by private insurance. Despite its policy importance, little is known about how such a change would affect national health care spending, which is the sum of health care spending for all consumers and payers-including governments. We examined how spending differed between Medicare and private insurance using longitudinal data on imaging and procedures for a national cohort of individuals who switched from private insurance to Medicare at age sixty-five. Using a regression discontinuity design, we found that spending fell by $38.56 per beneficiary per quarter-or 32.4 percent-upon entry into Medicare at age sixty-five. In contrast, we found no changes in the volume of services at age sixty-five. For the previously insured, entry into Medicare led to a large drop in spending driven by lower provider prices, which may reflect Medicare's purchasing power as a large insurer. These findings imply that increasing the Medicare eligibility age may raise national health care spending by replacing Medicare coverage with private insurance, which pays higher provider prices than Medicare does. Project HOPE—The People-to-People Health Foundation, Inc.

Entities:  

Keywords:  Cost of Health Care; Medicare

Mesh:

Year:  2016        PMID: 27140993      PMCID: PMC4943661          DOI: 10.1377/hlthaff.2015.1195

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  16 in total

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2.  National health expenditure projections: modest annual growth until coverage expands and economic growth accelerates.

Authors:  Sean P Keehan; Gigi A Cuckler; Andrea M Sisko; Andrew J Madison; Sheila D Smith; Joseph M Lizonitz; John A Poisal; Christian J Wolfe
Journal:  Health Aff (Millwood)       Date:  2012-06-12       Impact factor: 6.301

3.  Health of previously uninsured adults after acquiring Medicare coverage.

Authors:  J Michael McWilliams; Ellen Meara; Alan M Zaslavsky; John Z Ayanian
Journal:  JAMA       Date:  2007-12-26       Impact factor: 56.272

4.  National health expenditure projections, 2012-22: slow growth until coverage expands and economy improves.

Authors:  Gigi A Cuckler; Andrea M Sisko; Sean P Keehan; Sheila D Smith; Andrew J Madison; John A Poisal; Christian J Wolfe; Joseph M Lizonitz; Devin A Stone
Journal:  Health Aff (Millwood)       Date:  2013-09-18       Impact factor: 6.301

5.  National health expenditure projections, 2013-23: faster growth expected with expanded coverage and improving economy.

Authors:  Andrea M Sisko; Sean P Keehan; Gigi A Cuckler; Andrew J Madison; Sheila D Smith; Christian J Wolfe; Devin A Stone; Joseph M Lizonitz; John A Poisal
Journal:  Health Aff (Millwood)       Date:  2014-09-03       Impact factor: 6.301

6.  Geographic correlation between large-firm commercial spending and Medicare spending.

Authors:  Michael E Chernew; Lindsay M Sabik; Amitabh Chandra; Teresa B Gibson; Joseph P Newhouse
Journal:  Am J Manag Care       Date:  2010-02       Impact factor: 2.229

7.  Medicare beneficiaries more likely to receive appropriate ambulatory services in HMOs than in traditional medicare.

Authors:  John Z Ayanian; Bruce E Landon; Alan M Zaslavsky; Robert C Saunders; L Gregory Pawlson; Joseph P Newhouse
Journal:  Health Aff (Millwood)       Date:  2013-07       Impact factor: 6.301

8.  The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare.

Authors:  David Card; Carlos Dobkin; Nicole Maestas
Journal:  Am Econ Rev       Date:  2008-12

9.  DOES MEDICARE SAVE LIVES?

Authors:  David Card; Carlos Dobkin; Nicole Maestas
Journal:  Q J Econ       Date:  2009

10.  Analysis Of Medicare Advantage HMOs compared with traditional Medicare shows lower use of many services during 2003-09.

Authors:  Bruce E Landon; Alan M Zaslavsky; Robert C Saunders; L Gregory Pawlson; Joseph P Newhouse; John Z Ayanian
Journal:  Health Aff (Millwood)       Date:  2012-12       Impact factor: 6.301

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  8 in total

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Authors:  Jacob Glazer; Thomas G McGuire
Journal:  J Health Econ       Date:  2016-12-29       Impact factor: 3.883

Review 2.  United States Health Care Reform: Progress to Date and Next Steps.

Authors:  Barack Obama
Journal:  JAMA       Date:  2016-08-02       Impact factor: 56.272

3.  Out-Of-Network Spending Mostly Declined In Privately Insured Populations With A Few Notable Exceptions From 2008 To 2016.

Authors:  Zirui Song; William Johnson; Kevin Kennedy; Jean Fuglesten Biniek; Jacob Wallace
Journal:  Health Aff (Millwood)       Date:  2020-06       Impact factor: 6.301

4.  Changes in Out-of-Pocket Spending and Catastrophic Health Care Expenditures Associated With Medicare Eligibility.

Authors:  John W Scott; Pooja U Neiman; Renuka Tipirneni; Zhaohui Fan; John Z Ayanian
Journal:  JAMA Health Forum       Date:  2021-09-10

5.  Health Care Utilization and Spending in Medicare Advantage vs Traditional Medicare: A Difference-in-Differences Analysis.

Authors:  Aaron L Schwartz; Khalil Zlaoui; Robin P Foreman; Troyen A Brennan; Joseph P Newhouse
Journal:  JAMA Health Forum       Date:  2021-12-10

6.  Association of Prenatal Care Services, Maternal Morbidity, and Perinatal Mortality With the Advanced Maternal Age Cutoff of 35 Years.

Authors:  Caroline K Geiger; Mark A Clapp; Jessica L Cohen
Journal:  JAMA Health Forum       Date:  2021-12-03

7.  Upcoding: Evidence from Medicare on Squishy Risk Adjustment.

Authors:  Michael Geruso; Timothy Layton
Journal:  J Polit Econ       Date:  2020-01-29

8.  Overall survival, adverse events, and economic burden in patients with chronic lymphocytic leukemia receiving systemic therapy: Real-world evidence from the medicare population.

Authors:  Ravi K Goyal; Saurabh P Nagar; Shaum M Kabadi; Hannah Le; Keith L Davis; James A Kaye
Journal:  Cancer Med       Date:  2021-03-18       Impact factor: 4.452

  8 in total

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