[Decisions in case of "problematic" cost-effectiveness ratios based on the example of a clinical trial in rehabilitation care].
OBJECTIVE
Economic assessment of an additional psychological intervention in the rehabilitation of patients with chronic low-back pain and evaluation of results by decision makers.


METHODS
Piggy-back cost-utility analysis of a randomised clinical trial, including a bootstrap analysis. Costs were measured by using the cost accounting systems of the rehabilitation clinics and by surveying patients. Health-related quality of life was measured using the EQ-5D. Implications of different representations of the decision problem and corresponding decision rules concerning the cost-effectiveness plane are discussed.


RESULTS
As compared with the 126 patients of the control arm, the 98 patients in the intervention arm gained 3.5 days in perfect health on average as well as 1219 euro cost saving. However, because of the uncertainty involved, the results of a bootstrap analysis cover all quadrants of the cost-effectiveness plane. Using maximum willingness-to-pay per effect unit gained, decision rules can be defined for parts of the cost-effectiveness plane. These have to be aggregated in a further valuation step.


CONCLUSIONS
Study results show that decisions on stochastic economic evaluation results may require an additional valuation step aggregating the various parts of the cost-effectiveness plane.
Leidl
R
R
Institut für Gesundheitsökonomie und Management im Gesundheitswesen, GSF-Forschungszentrum für Umwelt und Gesundheit, München. reiner.leidl@gsf.de
Jacobi
E
E
Knab
J
J
Schweikert
B
B
D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D005260:Female; D005858:Germany / Q000453:epidemiology; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D017116:Low Back Pain / Q000191:economics* / Q000453:epidemiology / Q000534:rehabilitation*; D008297:Male; D008875:Middle Aged; D018803:Models, Economic; D012047:Rehabilitation Centers / Q000191:economics* / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D016896:Treatment Outcome