Literature DB >> 32719571

Upcoding: Evidence from Medicare on Squishy Risk Adjustment.

Michael Geruso1, Timothy Layton2.   

Abstract

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.

Entities:  

Year:  2020        PMID: 32719571      PMCID: PMC7384673          DOI: 10.1086/704756

Source DB:  PubMed          Journal:  J Polit Econ        ISSN: 0022-3808


  23 in total

1.  Medicare's private plans: a report card on Medicare Advantage.

Authors:  Marsha Gold
Journal:  Health Aff (Millwood)       Date:  2008-11-24       Impact factor: 6.301

2.  Plan-provider integration, premiums, and quality in the Medicare Advantage market.

Authors:  Austin B Frakt; Steven D Pizer; Roger Feldman
Journal:  Health Serv Res       Date:  2013-06-26       Impact factor: 3.402

3.  Enrollment in Medicare Advantage plans in Miami-Dade County: evidence of status quo bias?

Authors:  Anna D Sinaiko; Christopher C Afendulis; Richard G Frank
Journal:  Inquiry       Date:  2013-08       Impact factor: 1.730

4.  Measuring coding intensity in the Medicare Advantage program.

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

5.  Pricing and Welfare in Health Plan Choice.

Authors:  M Kate Bundorf; Jonathan Levin; Neale Mahoney
Journal:  Am Econ Rev       Date:  2012-12

6.  Delivering Public Health Insurance Through Private Plan Choice in the United States.

Authors:  Jonathan Gruber
Journal:  J Econ Perspect       Date:  2017

7.  Selection on Moral Hazard in Health Insurance.

Authors:  Liran Einav; Amy Finkelstein; Stephen Ryan; Paul Schrimpf; Mark R Cullen
Journal:  Am Econ Rev       Date:  2013-02

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

Authors:  Jacob Wallace; Zirui Song
Journal:  Health Aff (Millwood)       Date:  2016-05-01       Impact factor: 6.301

9.  The spillover effects of Medicare managed care: Medicare Advantage and hospital utilization.

Authors:  Katherine Baicker; Michael E Chernew; Jacob A Robbins
Journal:  J Health Econ       Date:  2013-12       Impact factor: 3.883

10.  ESTIMATING WELFARE IN INSURANCE MARKETS USING VARIATION IN PRICES.

Authors:  Liran Einav; Amy Finkelstein; Mark R Cullen
Journal:  Q J Econ       Date:  2010-08-01
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  22 in total

1.  Place-Based Drivers of Mortality: Evidence from Migration.

Authors:  Amy Finkelstein; Matthew Gentzkow; Heidi Williams
Journal:  Am Econ Rev       Date:  2021-08

2.  Ethical Machine Learning in Healthcare.

Authors:  Irene Y Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi
Journal:  Annu Rev Biomed Data Sci       Date:  2021-05-06

3.  Association of Diagnosis Coding With Differences in Risk-Adjusted Short-term Mortality Between Critical Access and Non-Critical Access Hospitals.

Authors:  Cyrus M Kosar; Lacey Loomer; Kali S Thomas; Elizabeth M White; Orestis A Panagiotou; Momotazur Rahman
Journal:  JAMA       Date:  2020-08-04       Impact factor: 56.272

4.  Health Care Utilization, Care Satisfaction, and Health Status for Medicare Advantage and Traditional Medicare Beneficiaries With and Without Alzheimer Disease and Related Dementias.

Authors:  Sungchul Park; Lindsay White; Paul Fishman; Eric B Larson; Norma B Coe
Journal:  JAMA Netw Open       Date:  2020-03-02

5.  Mental Health Service Use by Medicaid-Enrolled Children and Adolescents in Primary Care Safety-Net Clinics.

Authors:  Janet R Cummings; Xu Ji; Benjamin G Druss
Journal:  Psychiatr Serv       Date:  2020-01-21       Impact factor: 3.084

6.  Random survival forests using linked data to measure illness burden among individuals before or after a cancer diagnosis: Development and internal validation of the SEER-CAHPS illness burden index.

Authors:  Lisa M Lines; Julia Cohen; Justin Kirschner; Michael T Halpern; Erin E Kent; Michelle A Mollica; Ashley Wilder Smith
Journal:  Int J Med Inform       Date:  2020-10-21       Impact factor: 4.046

Review 7.  Medicare Advantage Chart Reviews Are Associated With Billions in Additional Payments for Some Plans.

Authors:  David J Meyers; Amal N Trivedi
Journal:  Med Care       Date:  2021-02-01       Impact factor: 3.178

8.  Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10.

Authors:  David Cheng; Clark DuMontier; Cenk Yildirim; Brian Charest; Chelsea E Hawley; Min Zhuo; Julie M Paik; Enzo Yaksic; J Michael Gaziano; Nhan Do; Mary Brophy; Kelly Cho; Dae H Kim; Jane A Driver; Nathanael R Fillmore; Ariela R Orkaby
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-06-14       Impact factor: 6.053

9.  Adoption and learning across hospitals: The case of a revenue-generating practice.

Authors:  Adam Sacarny
Journal:  J Health Econ       Date:  2018-06-19       Impact factor: 3.804

10.  Differences in Health Care Utilization, Process of Diabetes Care, Care Satisfaction, and Health Status in Patients With Diabetes in Medicare Advantage Versus Traditional Medicare.

Authors:  Sungchul Park; Eric B Larson; Paul Fishman; Lindsay White; Norma B Coe
Journal:  Med Care       Date:  2020-11       Impact factor: 3.178

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