[Vaginal trial or repeat cesarean in a woman with a previous cesarean section? An example of analysis of medical decision making].
Decision making analysis is a probability-based quantitative method used for decision making in particularly uncertain circumstances. Such analysis can be used to develop a model for medical decision making and help to determine the best strategy for a given clinical situation. A decision tree includes all the necessary choices and the corresponding consequences. Statistical analysis of the decisional tree orients the decision to the one with the smallest risk and the greatest advantages. This work describes the basis of the methodology and the decision analysis using a simple example in obstetrics: repeat cesarean or uterus trial in women with a history of cesarean section. The analysis of the decision, based on data in the literature, demonstrates the choice for the uterin trial because of the lower maternal morbidity.
Vendittelli
F
F
Service de Gynécologie-Obstétrique, CHU, Limoges.
Colin
C
C
Vergnenegre
A
A
D002585:Cesarean Section / Q000009:adverse effects; D003663:Decision Trees; D005260:Female; D006801:Humans; D009017:Morbidity; D011247:Pregnancy; D011256:Pregnancy Outcome; D015203:Reproducibility of Results; D012307:Risk Factors; D012680:Sensitivity and Specificity; D016064:Vaginal Birth after Cesarean / Q000009:adverse effects