Header

UZH-Logo

Maintenance Infos

'Fair ist, Gleiches mit Gleichem zu vergleichen'? - Eine Simulationsstudie zu den Krankenhausvergleichen nach §5 Bundespflegesatzverordnung


Frick, Ulrich; Binder, H; Barta, W; Cording, C (2003). 'Fair ist, Gleiches mit Gleichem zu vergleichen'? - Eine Simulationsstudie zu den Krankenhausvergleichen nach §5 Bundespflegesatzverordnung. Gesundheitswesen (Bundesverband der Ärzte des Öffentlichen Gesundheitsdienstes (Germany)), 65(1):8-18.

Abstract

Aim: To evaluate the method for comparison of average length of stay in hospitals as defined in a contract between German health insurance companies and the „Deutsche Krankenhausgesellschaft” (German Hospital Association).
Method: Simulation study executing the algorithm agreed upon in different scenarios, which varied the number of hospitals to be compared, the dispersion of diagnostic specialization over hospitals, and the distribution of hospitals’ sizes. Scenarios were constructed to realistically reflect the situation in German inpatient treatment of mentally ill patients.
Results: By fixing casemix adjustments only on diagnoses of patients and by doing so aggregated on the level of hospitals, the method for comparison yielded artificial differences between hospitals even in a situation where each patient is treated with exactly the same amount of resource allocation (given the individual needs defined for all scenarios). Results of artificial differences were heavily biased against or in favour of the reference hospitals according to the specific condition of the scenario parameters.
Conclusion: The contracted method is not capable of achieving fair hospital comparisons, at least not for psychiatric hospitals.

Abstract

Aim: To evaluate the method for comparison of average length of stay in hospitals as defined in a contract between German health insurance companies and the „Deutsche Krankenhausgesellschaft” (German Hospital Association).
Method: Simulation study executing the algorithm agreed upon in different scenarios, which varied the number of hospitals to be compared, the dispersion of diagnostic specialization over hospitals, and the distribution of hospitals’ sizes. Scenarios were constructed to realistically reflect the situation in German inpatient treatment of mentally ill patients.
Results: By fixing casemix adjustments only on diagnoses of patients and by doing so aggregated on the level of hospitals, the method for comparison yielded artificial differences between hospitals even in a situation where each patient is treated with exactly the same amount of resource allocation (given the individual needs defined for all scenarios). Results of artificial differences were heavily biased against or in favour of the reference hospitals according to the specific condition of the scenario parameters.
Conclusion: The contracted method is not capable of achieving fair hospital comparisons, at least not for psychiatric hospitals.

Statistics

Citations

3 citations in Web of Science®
4 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 13 May 2014
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Swiss Research Institute for Public Health and Addiction
Dewey Decimal Classification:610 Medicine & health
Language:German
Date:2003
Deposited On:13 May 2014 13:01
Last Modified:05 Apr 2016 17:47
Publisher:Georg Thieme Verlag
ISSN:0941-3790
Publisher DOI:https://doi.org/10.1055/s-2003-36912

Download

Preview Icon on Download
Content: Published Version
Filetype: PDF - Registered users only
Size: 251kB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations