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Modifying DRG-PPS to include only diagnoses present on admission: financial implications and challenges
Chunliu Zhan1, Anne Elixhauser, Bernard Friedman
1Agency for Healthcare Research and Quality, Department of Health and Human Services, Rockville, Maryland 20850, USA. Chunliu.zhan@ahrq.hhs.gov
Objective:
The inability to distinguish complications acquired in hospital from comorbid conditions that are present on admission (POA) has long hampered the use of claims data in quality and safety research. Now pay-for-performance initiatives and legislation requiring Medicare to reduce payment for acquired infections add imperative for POA coding. This study used data from 2 states currently coding POA to assess the financial impact if Medicare pays based on POA conditions only and to examine the challenges in implementing POA coding.
Methods:
Medicare payments were calculated based first on all diagnoses and then on POA diagnoses in the Medicare discharge abstracts from California and New York in 2003, using the Diagnosis Related Group (DRG)-based Prospective Payment System (PPS) formula. The potential savings that result from excluding non-POA diagnoses were calculated. Patterns of POA coding were explored.
Results:
Medicare could have saved $56 million in California, $51 million in New York, and $800 million nationwide in 2003 had it paid hospital claims based only on POA diagnoses. Approximately 15% of the claims had non-POA codes, but only 1.4% of the claims were reassigned to lower-cost DRGs after excluding non-POA diagnoses. Excluding non-POA diagnoses resulted in reduced payment for operating costs, but increased outlier payments because some of the claims were designated as "unusually high cost" in the lower-cost DRGs. POA coding patterns suggest some problems in current POA coding.
Conclusions:
To be consistent with pay-for-performance principles and make claims data more useful for quality assurance, incorporating POA coding into DRG-PPS could produce sizable savings for Medicare.
Insights
Implementing present on admission (POA) coding for Medicare payments could save $800 million annually. This change improves quality research and aligns with pay-for-performance initiatives by distinguishing hospital-acquired conditions from existing comorbidities.
Area of Science:
- Health Services Research
- Health Economics
- Medical Informatics
Background:
- Distinguishing hospital-acquired complications from present on admission (POA) conditions is crucial for quality and safety research using healthcare claims data.
- Pay-for-performance initiatives and legislation mandating reduced payments for hospital-acquired infections necessitate accurate POA coding.
Purpose of the Study:
- To assess the financial impact of Medicare paying solely based on POA diagnoses.
- To examine the challenges associated with implementing POA coding.
Main Methods:
- Medicare payments were calculated using the Diagnosis Related Group (DRG)-based Prospective Payment System (PPS) formula, comparing payments based on all diagnoses versus only POA diagnoses.
- Data from Medicare discharge abstracts in California and New York in 2003 were analyzed.
- Potential savings from excluding non-POA diagnoses were calculated, and POA coding patterns were explored.
Main Results:
- Medicare could have saved an estimated $800 million nationwide in 2003 if payments were based only on POA diagnoses.
- Approximately 15% of claims contained non-POA codes, but only 1.4% were reassigned to lower-cost DRGs after exclusion.
- Excluding non-POA diagnoses led to reduced operating cost payments but increased outlier payments, indicating potential coding issues.
Conclusions:
- Incorporating POA coding into the DRG-PPS framework offers substantial savings for Medicare.
- This integration aligns with pay-for-performance principles and enhances the utility of claims data for quality assurance.
- Addressing POA coding challenges is essential for successful implementation.
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