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Too Sick to be True? Evaluating Potentially Problematic Diagnosis Coding Practices in Medicare's Patient‐Driven Payment Model

Harsha Amaravadi et al.

Health Services Research2026https://doi.org/10.1111/1475-6773.70084article
AJG 3ABDC A
Weight
0.50

What the paper says

PDPM was associated with increased coding intensity across multiple measures-and more so in for-profit SNFs-highlighting the need to further evaluate whether SNFs are accurately documenting or falsely inflating clinical complexity. Sustaining Medicare's payment accuracy will require continued monitoring of diagnosis coding behavior and its alignment with actual clinical complexity.

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https://doi.org/https://doi.org/10.1111/1475-6773.70084

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@article{harsha2026,
  title        = {{Too Sick to be True? Evaluating Potentially Problematic Diagnosis Coding Practices in Medicare's Patient‐Driven Payment Model}},
  author       = {Harsha Amaravadi et al.},
  journal      = {Health Services Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/1475-6773.70084},
}

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Too Sick to be True? Evaluating Potentially Problematic Diagnosis Coding Practices in Medicare's Patient‐Driven Payment Model

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.