title: Decision making with respect to diagnostic testing: a method of valuing the benefits of antenatal screening.
abstract: This paper outlines a model for valuing the benefits of antenatal screening based on the analysis of individual decision making with respect to consequent diagnostic testing. Central to the model is the idea that the benefits of screening can be measured by valuing the improved information generated from screening. The model is developed in the context of antenatal carrier screening for cystic fibrosis (CF). Benefits are assessed by surveying women in the general population in order to establish their preferences for two alternative methods of CF carrier screening-stepwise and couple screening. Preferences are elicited using standard-gamble questions in which women from a population-based random sample are asked to trade off risk of fetal loss with improved information from diagnostic testing. A series of standard-gamble questions is employed to elicit utility values for each of the possible information outcomes from screening. The expected utilities of both screening methods are calculated at both individual and group levels. The results suggest that the use of individual decision making with respect to diagnostic testing as a means of valuing the benefits of screening may have wide applications.
authors.affiliation: Health Economics Research Unit, University of Aberdeen, Scotland.
authors.forename: J
authors.initials: J
authors.lastname: Cairns
authors.forename: P
authors.initials: P
authors.lastname: Shackley
authors.forename: V
authors.initials: V
authors.lastname: Hundley
mesh_terms: D000328:Adult; D003550:Cystic Fibrosis / Q000235:genetics* / Q000517:prevention & control; D003657:Decision Making; D005260:Female; D006580:Genetic Carrier Screening; D005820:Genetic Testing; D006801:Humans; D007231:Infant, Newborn; D008297:Male; D015233:Models, Statistical; D010043:Outcome and Process Assessment, Health Care / Q000706:statistics & numerical data; D010342:Patient Acceptance of Health Care; D011247:Pregnancy; D011296:Prenatal Diagnosis / Q000706:statistics & numerical data*