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Opening the black box of diagnosis-related groups (DRGs): unpacking the technical remuneration structure of the Dutch DRG system

Published online by Cambridge University Press:  27 July 2018

Sam van Herwaarden
Affiliation:
Intelligence to Integrity (i2i), Amsterdam, The Netherlands
Iris Wallenburg*
Affiliation:
Assistant Professor of Healthcare Governance, Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
Joris Messelink
Affiliation:
Intelligence to Integrity (i2i), Amsterdam, The Netherlands
Roland Bal
Affiliation:
Full Professor of Healthcare Governance, Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
*Corresponding
*Correspondence to: Iris Wallenburg, Erasmus School of Health Policy & Management, Erasmus Universiteit Rotterdam, iBMG, 3000 DR Rotterdam, The Netherlands. Email: wallenburg@eshpm.eur.nl

Abstract

While we know that upcoding of diagnosis-related groups (DRGs) regularly occurs, we have little knowledge of the role of the technical features of coding systems in inducing coding behaviour. This paper presents methods for investigating the financial structure of the Dutch DRG system, and more in particular the grouper software, to gain such insight. The paper describes a system for investigating the robustness of the reward structure, by simulating the response of the DRG system to small changes in individual coding. The results from these analyses are used to visualise some data on coding behaviour, and to investigate how this behaviour is affected by incentives in the technical features of the DRG system. A number of technical weaknesses in the system are also identified.

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Articles
Copyright
© Cambridge University Press 2018

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Opening the black box of diagnosis-related groups (DRGs): unpacking the technical remuneration structure of the Dutch DRG system
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