Literature DB >> 22815116

Do diagnosis-related groups appropriately explain variations in costs and length of stay of hip replacement? A comparative assessment of DRG systems across 10 European countries.

Alexander Geissler1, David Scheller-Kreinsen, Wilm Quentin.   

Abstract

This paper assesses the variations in costs and length of stay for hip replacement cases in Austria, England, Estonia, Finland, France, Germany, Ireland, Poland, Spain and Sweden and examines the ability of national diagnosis-related group (DRG) systems to explain the variation in resource use against a set of patient characteristic and treatment specific variables. In total, 195,810 cases clustered in 712 hospitals were analyzed using OLS fixed effects models for cost data (n=125,698) and negative binominal models for length-of-stay data (n=70,112). The number of DRGs differs widely across the 10 European countries (range: 2-14). Underlying this wide range is a different use of classification variables, especially secondary diagnoses and treatment options are considered to a different extent. In six countries, a standard set of patient characteristics and treatment variables explain the variation in costs or length of stay better than the DRG variables. This raises questions about the adequacy of the countries' DRG system or the lack of specific criteria, which could be used as classification variables.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22815116     DOI: 10.1002/hec.2848

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


  16 in total

1.  Early outcome of the Korean Diagnosis-Related Groups payment system for appendectomy.

Authors:  Hyeyoung Kim; In Mok Jung; Keong Won Yun; Seung Chul Heo; Young Joon Ahn; Ki-Tae Hwang; Hae Won Lee; Do Hoon Koo; Eunyoung Ko; Hye Seong Ahn; Rumi Shin; Jung Kee Chung
Journal:  Ann Surg Treat Res       Date:  2015-02-27       Impact factor: 1.859

2.  Not all total joint replacement patients are created equal: preoperative factors and length of stay in hospital.

Authors:  Mitch Winemaker; Danielle Petruccelli; Conrad Kabali; Justin de Beer
Journal:  Can J Surg       Date:  2015-06       Impact factor: 2.089

3.  Change of initial and ICU treatment over time in trauma patients. An analysis from the TraumaRegister DGU®.

Authors:  Andreas B Böhmer; Marcel Poels; Kathrin Kleinbrahm; Rolf Lefering; Thomas Paffrath; Bertil Bouillon; Jerome Michel Defosse; Mark U Gerbershagen; Frank Wappler; Robin Joppich
Journal:  Langenbecks Arch Surg       Date:  2016-04-25       Impact factor: 3.445

4.  The Predictive Factors on Extended Hospital Length of Stay in Patients with AMI: Laboratory and Administrative Data.

Authors:  Teresa Magalhães; Sílvia Lopes; João Gomes; Filipe Seixo
Journal:  J Med Syst       Date:  2015-10-29       Impact factor: 4.460

5.  The impact of preoperative patient characteristics on the cost-effectiveness of total hip replacement: a cohort study.

Authors:  Matthias Vogl; Rainer Wilkesmann; Christian Lausmann; Werner Plötz
Journal:  BMC Health Serv Res       Date:  2014-08-15       Impact factor: 2.655

6.  Quantifying the demand for hospital care services: a time and motion study.

Authors:  Catharina J van Oostveen; Dirk J Gouma; Piet J Bakker; Dirk T Ubbink
Journal:  BMC Health Serv Res       Date:  2015-01-22       Impact factor: 2.655

7.  Does Korea's current diagnosis-related group-based reimbursement system appropriately classify appendectomy patients?

Authors:  Kee-Hwan Kim; Sang Chul Lee; Sang Kuon Lee; Byung-Jo Choi; Wonjun Jeong; Say-June Kim
Journal:  Ann Surg Treat Res       Date:  2016-07-21       Impact factor: 1.859

8.  The Use of Diagnosis-Related Group-Based Reimbursement in the Czech Hospital Care System.

Authors:  Zuzana Kotherová; Martina Caithamlová; Juraj Nemec; Kateřina Dolejšová
Journal:  Int J Environ Res Public Health       Date:  2021-05-20       Impact factor: 3.390

9.  Agreements and disagreements in exercise therapy prescriptions after hip replacement among rehabilitation professionals: a multicenter survey.

Authors:  Christine Eulenburg; Anna-Lina Rahlf; Andrej Kutasow; Astrid Zech
Journal:  BMC Musculoskelet Disord       Date:  2015-08-05       Impact factor: 2.362

Review 10.  Factors and models associated with the amount of hospital care services as demanded by hospitalized patients: a systematic review.

Authors:  Catharina J van Oostveen; Dirk T Ubbink; Judith G Huis in het Veld; Piet J Bakker; Hester Vermeulen
Journal:  PLoS One       Date:  2014-05-30       Impact factor: 3.240

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