This research utilized conjoint analysis and an analysis of information acquisition to examine the effects of situational involvement and task complexity on physician's decision-making process.
The predictive accuracy of the linear model in predicting drug choice across situations was also assessed.
A contingency model for the selection of decision strategies was used as a framework in the study.
A sample of forty-eight physicians was asked to indicate their preferences and choices for hypothetical anti-infective drugs.
Situational involvement was manipulated by telling physicians in the experimental group via the written scenario to assume that his/her decision would be reviewed and evaluated by peers and (s)he would be asked to justify drug choice.
Mots-clés Pascal : Prescription médicale, Personnel sanitaire, Accès information, Prise décision, Médecin, Modèle, Homme, Arizona, Etats Unis, Amérique du Nord, Amérique
Mots-clés Pascal anglais : Medical prescription, Health staff, Information access, Decision making, Physician, Models, Human, Arizona, United States, North America, America
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0502293
Code Inist : 002B30A05. Création : 199406.