Literature DB >> 22526854

[Decision support through economic evaluation from the perspective of science in Germany].

J-M Graf von der Schulenburg1.   

Abstract

For decades, economic evaluation studies, or cost-benefit analyses (CBA), have been a tool for decision support in the use of public funds. Despite this, in the last few years, debates on the inclusion of CBAs in the German health care system have paid little attention to the findings and practical experiences of scientific research. CBAs - especially the QALY - were instead represented a priori as "unfair" and "discriminatory." Today they have virtually no meaning when it comes to allocation and pricing decisions about publicly funded health services. Of course, CBAs are based on value judgments, which have to be communicated. They can lead to allocations that violate the minimum standards of justice. Here, distributive requirements and criteria are needed and must be developed in an interdisciplinary discourse. However, a general waiver of CBA does not make decisions about the allocation of resources easier, especially since its involvement can contribute to more openness and transparency in the system. Accordingly, for Germany a dual approach is recommended: an interdisciplinary exploration of the methodological foundations of economic evaluation and a consistent application of these in healthcare decision-making.

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Year:  2012        PMID: 22526854     DOI: 10.1007/s00103-012-1466-7

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  2 in total

1.  Who prefers the 'cost-effectiveness ratio' prioritization approach in health-care decisions? Results of an empirical analysis.

Authors:  Kathrin Damm; Anne Prenzler; Andy Zuchandke
Journal:  Health Expect       Date:  2014-06-06       Impact factor: 3.377

2.  Does the perception of fairness and standard of care in the health system depend on the field of study? Results of an empirical analysis.

Authors:  Kathrin Damm; Anne Prenzler; Andy Zuchandke
Journal:  BMC Health Serv Res       Date:  2014-04-12       Impact factor: 2.655

  2 in total

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