Literature DB >> 22815111

How well do diagnosis-related group systems group breast cancer surgery patients? Evidence from 10 European countries.

David Scheller-Kreinsen1.   

Abstract

We analysed patient-level data (n = 72,235) from 563 hospitals in 10 European countries to assess the ability of national diagnosis-related group (DRG) systems to account for patient-level variation in cost or lengths of stay of breast cancer surgery patients against a standard set of patient characteristics, treatment and quality variables. We find that European DRG systems use very different types of classification variables and numbers of DRGs (range: 3-7) to classify these patients. In 6 of 10 countries, the set of patient characteristics, treatment and quality variables, which we were able to define across countries, perform better than the set of national DRGs in accounting for patient-level variation in resource consumption. Moreover, there appear to be factors that are consistently significant determinants of cost/length of stay of breast cancer surgery cases but are not, or at least not fully, considered in European DRG systems. Our results therefore raise concerns as to whether all systems rely on the most appropriate classification variables. In several countries, policymakers should reevaluate the appropriateness of their DRG algorithm for breast cancer surgery and of specific DRG weights.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22815111     DOI: 10.1002/hec.2832

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


  4 in total

Review 1.  Relevance of health economics in breast cancer treatment: integration of economics in the management of breast cancer at the clinic level.

Authors:  Volker R Jacobs; Gerhard Bogner; Christiane E Schausberger; Roland Reitsamer; Thorsten Fischer
Journal:  Breast Care (Basel)       Date:  2013-03       Impact factor: 2.860

2.  Cross-national comparison of medical costs shared by payers and patients: a study of postmenopausal women with early-stage breast cancer based on assumption case scenarios and reimbursement fees.

Authors:  Shota Hamada; Shiro Hinotsu; Hiroshi Ishiguro; Masakazu Toi; Koji Kawakami
Journal:  Breast Care (Basel)       Date:  2013-08       Impact factor: 2.860

3.  Effect of patient's age on the profitability of inpatient cardiac catheterization: a contribution margin analysis of frequently performed procedures over a 5-year period.

Authors:  Gunnar Plehn; Thomas Butz; Petra Maagh; Axel Meissner
Journal:  BMC Health Serv Res       Date:  2017-01-18       Impact factor: 2.655

Review 4.  Capturing patients' needs in casemix: a systematic literature review on the value of adding functioning information in reimbursement systems.

Authors:  Maren Hopfe; Gerold Stucki; Ric Marshall; Conal D Twomey; T Bedirhan Üstün; Birgit Prodinger
Journal:  BMC Health Serv Res       Date:  2016-02-03       Impact factor: 2.655

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.