[Construction of a decision tree for preoperative diagnosis in urinary incontinence].
In order to analyse the decisions used in non-urodynamic preoperative diagnosis of female urinary incontinence we constructed a decision tree, consisting of decision nodes and probability nodes. Each branch of the decision tree leads to an end point (terminal node), to which an utility must be assigned. We describe the different steps in the construction of the decision tree: 1. listing of all possible decisions (questionnaire, clinical stress test, both, no preoperative tests), 2. assignment of probabilities to the different events (e.g. cure, failure, operation in the absence of genuine stress incontinence), and 3. assignment of utility factors to the end points. We used previously published probabilities from our clinic, utility was assigned arbitrarily using a score from -10 to +90. The decision tress allows not only the calculation of the strategy with the highest expected utility, but also threshold analysis, sensitivity analysis and cost-benefit analysis. We feel that decision trees are valuable tools for analysing how medical decisions are reached and are particularly useful in teaching situations.
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2. Universitäts-Frauenklinik Wien.
D000328:Adult; D003663:Decision Trees; D005260:Female; D006801:Humans; D014550:Urinary Incontinence, Stress / Q000175:diagnosis / Q000601:surgery*; D014563:Urodynamics
Konstruktion eines Entscheidungsbaums für die praeoperative Diagnostik bei Harninkontinenz.