ArticleHealth affairs scholar2026
Streamlining oversight in Medicare advantage: measuring coding intensity via contract rankings.
Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Risk-adjusted payments in Medicare Advantage (MA) incentivize insurers to maximize reported diagnoses, resulting in high coding intensity, a major source of Medicare overpayments. However, distinguishing justifiable coding intensity from misreporting is challenging: some approaches risk conflating coding intensity due to extraneous diagnoses with that due to variation in clinical practice or beneficiary health, while others assume specific overreporting mechanisms. Methods: We propose a data-driven method for ranking MA contracts by coding intensity using comparisons between geographically co-located contracts based on adjusted diagnosis rates among switchers from Traditional Medicare to MA. The approach is applied to a 20% sample of 2019 MA claims. Results: Health Maintenance Organization (HMO)-dominated contracts tend to rank higher than preferred provider option (PPO)-dominated contracts, echoing previous findings. Furthermore, highly ranked contracts administer procedures and prescriptions relevant to beneficiaries' diagnoses less often than lower-ranked contracts, supporting the validity of the ranking. A simulation study suggests even an imperfect ranking can recover overpayments faster than a random audit, if mean diagnosis rates are low (10%) and vary widely across contracts. Conclusion: As MA looks to expand auditing strategies, MA enrollment continues to grow. The proposed approach can facilitate payer-specific audits even as mechanisms driving coding intensity evolve.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.