Literature DB >> 25929559

How do Hospitals Respond to Price Changes? Evidence from Norway.

Jurgita Januleviciute1,2, Jan Erik Askildsen1,2,3, Oddvar Kaarboe1,2, Luigi Siciliani1,4, Matt Sutton1,5.   

Abstract

Many publicly funded health systems use activity-based financing to increase hospital production and efficiency. The aim of this study is to investigate whether price changes for different treatments affect the number of patients treated and the mix of activity provided by hospitals. We exploit the variations in prices created by the changes in the national average treatment cost per diagnosis-related group (DRG) offered to Norwegian hospitals over a period of 5 years (2003-2007). We use the data from Norwegian Patient Register, containing individual-level information on age, gender, type of treatment, diagnosis, number of co-morbidities and the national average treatment costs per DRG. We employ fixed-effect models to examine the changes in the number of patients treated within the DRGs over time. The results suggest that a 10% increase in price leads to about 0.8-1.3% increase in the number of patients treated for DRGs, which are medical (for both emergency and elective patients). In contrast, we find no price effect for DRGs that are surgical (for both emergency and elective patients). Moreover, we find evidence of upcoding. A 10% increase in the ratio of prices between patients with and without complications increases the proportion of patients coded with complications by 0.3-0.4 percentage points.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DRGs; activity; hospitals; prices

Mesh:

Year:  2015        PMID: 25929559     DOI: 10.1002/hec.3179

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  8 in total

1.  Limited Consequences of a Transition From Activity-Based Financing to Budgeting: Four Reasons Why According to Swedish Hospital Managers.

Authors:  Lina Maria Ellegård; Anna Häger Glenngård
Journal:  Inquiry       Date:  2019 Jan-Dec       Impact factor: 1.730

2.  It probably worked: a Bayesian approach to evaluating the introduction of activity-based hospital payment in Israel.

Authors:  Ruth Waitzberg; Martin Siegel; Wilm Quentin; Reinhard Busse; Dan Greenberg
Journal:  Isr J Health Policy Res       Date:  2022-02-15

3.  Predicting diagnostic coding in hospitals: individual level effects of price incentives.

Authors:  Kjartan Sarheim Anthun
Journal:  Int J Health Econ Manag       Date:  2021-10-06

4.  Performance Comparison of Public Hospitals Between 2014 and 2018 in Different Regions of Guangdong Province, China, Following 2017 Medical Service Price Reforms.

Authors:  Kai-Yuan Weng; Feng Xia; Wen-Qi Lin; Yi-Bao Wang
Journal:  Front Public Health       Date:  2021-06-30

5.  Economic incentives and diagnostic coding in a public health care system.

Authors:  Kjartan Sarheim Anthun; Johan Håkon Bjørngaard; Jon Magnussen
Journal:  Int J Health Econ Manag       Date:  2017-03

6.  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

7.  Effects of Activity-Based Hospital Payments in Israel: A Qualitative Evaluation Focusing on the Perspectives of Hospital Managers and Physicians.

Authors:  Ruth Waitzberg; Wilm Quentin; Elad Daniels; Yael Paldi; Reinhard Busse; Dan Greenberg
Journal:  Int J Health Policy Manag       Date:  2021-03-15

8.  A Systematic Review of the Association Between Hospital Cost/price and the Quality of Care.

Authors:  Sara Jamalabadi; Vera Winter; Jonas Schreyögg
Journal:  Appl Health Econ Health Policy       Date:  2020-10       Impact factor: 3.686

  8 in total

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