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Published in: Health Economics Review 1/2024

Open Access 01-12-2024 | Commentary

Upcoding in medicare: where does it matter most?

Authors: Keith A. Joiner, Jianjing Lin, Juan Pantano

Published in: Health Economics Review | Issue 1/2024

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Abstract

Upcoding in Medicare has been a topic of interest to economists and policy makers for nearly 40 years. While upcoding is generally understood as “billing for services at higher level of complexity than the service actually pro- vided or documented,” it has a wide range of definitions within the literature. This is largely because the financial incentives across programs and aspects under the coding control of billing specialists and providers are different, and have evolved substantially over time, as has the published literature. Arguably, the primary importance of analyzing upcoding in different parts of Medicare is to inform policy makers on the magnitude of the process and to suggest approaches to mitigate the level of upcoding. Financial estimates for upcoding in traditional Medicare (Medicare Parts A and B), are highly variable, in part reflecting differences in methodology for each of the services covered. To resolve this variability, we used summaries of audit data from the Comprehensive Error Rate Testing program for the period 2010–2019. This program uses the same methodology across all forms of service in Medicare Parts A and B, allowing direct comparisons of upcoding magnitude. On average, upcoding for hospitalization under Part A represents $656 million annually (or 0.53% of total Part A annual expenditures) during our sample period, while up- coding for physician services under Part B is $2.38 billion annually (or 2.43% of Part B annual expenditures). These numbers compare to the recent consistent estimates from multiple different entities putting upcoding in Medicare Part C at $10–15 billion annually (or approximately 2.8–4.2% of Part C annual expenditures). Upcoding for hospitalization under Medicare Part A is small, relative to overall upcoding expenditures.
Appendix
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Footnotes
3
Note that complexity of care under Part A non-IPPS is defined in a similar way to that in Part B, or Part C non-hospitalizations. Thus, it could.
 
4
Note that the FY is the accounting period for the federal government, from the fourth quarter of the previous year to the third quarter of the current year.
 
5
We deflate the dollar amounts in different years using the corresponding Medicare Economic Index to make sure the amounts across different years are comparable. We do this for all the average payment amounts discussed in this paper. We obtain the Medicare Economic Index from CMS (https://​www.​cms.​gov/​research-statistics-data-and-systems/​statistics-trends-and-reports/​medicareprogramr​atess tats/marketbasketdata).
 
6
On average, the total expenditures on Medicare Parts A and B are $388 billion per year between 2010 and 2019.
 
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Metadata
Title
Upcoding in medicare: where does it matter most?
Authors
Keith A. Joiner
Jianjing Lin
Juan Pantano
Publication date
01-12-2024
Publisher
Springer Berlin Heidelberg
Published in
Health Economics Review / Issue 1/2024
Electronic ISSN: 2191-1991
DOI
https://doi.org/10.1186/s13561-023-00465-4

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