SNF Payment Fundamentals
Skilled Nursing Facilities (SNFs) are reimbursed under Medicare Part A using the Patient Driven Payment Model (PDPM), which classifies residents into payment groups based on clinical characteristics rather than the volume of therapy minutes provided under the prior system.
PDPM Payment Components
- Physical therapy (PT) and occupational therapy (OT): classified using function scores and clinical categories derived from the primary diagnosis
- Speech-language pathology (SLP): classified using swallowing disorders, mechanically altered diets, and cognitive impairment indicators
- Nursing: classified based on clinical conditions and functional status requiring nursing resources
- Non-therapy ancillary (NTA): a comorbidity-based component reflecting resource-intensive conditions such as HIV/AIDS, certain IV medications, or ventilator/respirator care
The Minimum Data Set (MDS)
The Minimum Data Set (MDS) is the standardized resident assessment instrument used to collect clinical and functional data that determines PDPM classification. Accurate ICD-10-CM coding of the primary diagnosis and all relevant comorbidities on the MDS directly drives each PDPM payment component.
Coding Considerations
- The primary diagnosis must map to an appropriate PDPM clinical category; some diagnosis codes are considered "return to provider" and cannot be used as the primary reason for the SNF stay
- NTA comorbidities must be coded completely, since each qualifying condition contributes points toward the NTA case mix classification
- Coding accuracy on the MDS is subject to the same specificity and documentation-support standards as any other coded data
Variable Per-Diem Adjustment
PDPM applies a variable per-diem adjustment that reduces certain payment components over the course of the stay, reflecting the assumption that resource utilization, particularly for non-therapy ancillary services, tends to be higher early in a SNF stay.
Exam Tip
Be able to identify which PDPM component (PT/OT, SLP, nursing, or NTA) a given clinical scenario would affect, and understand why MDS coding accuracy is as consequential as claims-based coding for SNF reimbursement.