ArticleHealth affairs (Project Hope)2024
Lack Of Persistent Coding In Traditional Medicare May Widen The Risk-Score Gap With Medicare Advantage.
Article in Health affairs (Project Hope), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Role of Chronic Conditions in Out-of-Pocket Costs for Preventive Care in the US.JAMA network open · 2026Article
- Incidence, Persistence, and Steady-State Prevalence in Coding Intensity for Health Plan Payment.medRxiv : the preprint server for health sciences · 2025Article
- Capacity Planning (Capital, Staff and Costs) of Inpatient Maternity Services: Pitfalls for the Unwary.International journal of environmental research and public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Payments to Medicare Advantage (MA) plans are adjusted by a risk-score model that is calibrated on diagnostic and demographic data from traditional Medicare beneficiaries and then applied to MA beneficiaries. If MA plans capture more diagnostic codes than traditional Medicare, they receive payment that is higher than the amount that would be spent in traditional Medicare. Although most previous research has focused on the coding practices of MA plans, less attention has been paid to the completeness of coding in traditional Medicare. We analyzed 2017-19 traditional Medicare claims data and MA encounter data to compare the persistence of diagnostic coding for sixteen chronic conditions. Our primary analysis found that the lack of persistent coding of these conditions in traditional Medicare accounted for 2.85 percentage points, or 22.3 percent, of the 2020 traditional Medicare/MA risk-score gap, translating to $8.1 billion in Medicare spending. In our most conservative sensitivity analysis, this discrepancy accounted for 9.8 percent of the total gap, although this was likely an underestimate, as it excluded acute conditions and incident chronic conditions. To resolve this discrepancy, a comprehensive approach addressing coding practices in both MA and traditional Medicare may be required.
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Registered trials
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