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What explains DRG upcoding in neonatology? The roles of financial incentives and infant health
Hendrik Jürges1, Juliane Köberlein1
1Schumpeter School of Business and Economics, University of Wuppertal, Rainer-Gruenter-Str. 21 (FN), 42119 Wuppertal, Germany.
Insights
Financial incentives in German neonatology led to significant upcoding of preterm infants under diagnosis-related groups (DRGs). Hospitals gained over €100 million by altering birth weight classifications, prioritizing higher reimbursement over patient health outcomes.
Area of Science:
- Health Economics
- Medical Economics
- Neonatal Care
Background:
- Diagnosis-Related Groups (DRGs) were introduced in German neonatology in 2003.
- Reimbursement is partly based on birth weight, creating financial incentives at specific thresholds.
Purpose of the Study:
- To investigate the determinants of upcoding in German neonatology post-DRG implementation.
- To quantify the financial impact and identify factors influencing upcoding behavior.
Main Methods:
- Analysis of German birth statistics (1996-2010) and hospital data (2006-2011).
- Examination of upcoding rates in relation to reimbursement thresholds and newborn health status.
Main Results:
- Over 12,000 preterm infants were upcoded, generating over €100 million in additional reimbursement.
- Upcoding rates correlated with reimbursement hike sizes and hospital-specific gains.
- Upcoding decisions considered newborn health, with financial incentives influencing classification.
Conclusions:
- Financial incentives within the DRG system significantly drive upcoding practices in neonatology.
- Upcoding behavior is strategically linked to reimbursement structures and patient characteristics.
- The study highlights potential conflicts between financial incentives and optimal patient care in healthcare systems.
Abstract:
We use the introduction of diagnosis related groups (DRGs) in German neonatology to study the determinants of upcoding. Since 2003, reimbursement is based inter alia on birth weight, with substantial discontinuities at eight thresholds. These discontinuities create incentives to upcode preterm infants into classes of lower birth weight. Using data from the German birth statistics 1996-2010 and German hospital data from 2006 to 2011, we show that (1) since the introduction of DRGs, hospitals have upcoded at least 12,000 preterm infants and gained additional reimbursement in excess of 100 million Euro; (2) upcoding rates are systematically higher at thresholds with larger reimbursement hikes and in hospitals that subsequently treat preterm infants, i.e. where the gains accrue; (3) upcoding is systematically linked with newborn health conditional on birth weight. Doctors and midwives respond to financial incentives by not upcoding newborns with low survival probabilities, and by upcoding infants with higher expected treatment costs.
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