Literature DB >> 26114589

What explains DRG upcoding in neonatology? The roles of financial incentives and infant health.

Hendrik Jürges1, Juliane Köberlein2.   

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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DRG upcoding; Hospitals; Neonatal care; Preterm infants; Reimbursement

Mesh:

Year:  2015        PMID: 26114589     DOI: 10.1016/j.jhealeco.2015.06.001

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  11 in total

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2.  Managerial workarounds in three European DRG systems.

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Journal:  J Health Organ Manag       Date:  2020-02-08

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Journal:  Int J Environ Res Public Health       Date:  2020-07-31       Impact factor: 4.614

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Authors:  Alexander Engels; Hans-Helmut König; Julia Luise Magaard; Martin Härter; Sabine Hawighorst-Knapstein; Ariane Chaudhuri; Christian Brettschneider
Journal:  BMC Psychiatry       Date:  2020-12-14       Impact factor: 3.630

6.  Characteristics and related factors of emergency department visits, readmission, and hospital transfers of inpatients under a DRG-based payment system: A nationwide cohort study.

Authors:  Pei-Fang Huang; Pei-Tseng Kung; Wen-Yu Chou; Wen-Chen Tsai
Journal:  PLoS One       Date:  2020-12-09       Impact factor: 3.240

7.  Impacts of Diagnosis-Related Groups Payment on the Healthcare Providers' Behavior in China: A Cross-Sectional Study Among Physicians.

Authors:  Lingli Zhang; Lihua Sun
Journal:  Risk Manag Healthc Policy       Date:  2021-06-01

8.  Do hospitals respond to decreasing prices by supplying more services?

Authors:  Martin Salm; Ansgar Wübker
Journal:  Health Econ       Date:  2019-11-21       Impact factor: 2.395

9.  Buying efficiency: optimal hospital payment in the presence of double upcoding.

Authors:  Simon B Spika; Peter Zweifel
Journal:  Health Econ Rev       Date:  2019-12-28

10.  Provider responses to discontinuous tariffs: evidence from Dutch rehabilitation care.

Authors:  Katalin Gaspar; Xander Koolman
Journal:  Int J Health Econ Manag       Date:  2022-02-01
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