title: Framing health messages based on anomalies in time preference.
abstract: Time discounting processes and their effects are increasingly taken into account in health-related decisions. Because these effects have a potentially large impact the characteristics of discounting should also be taken into consideration when framing health messages. Research on the relationship between time and health is discussed with a special focus on discounting biases. The criteria for selection of articles were potential practical application when formulating health messages. Time discounting processes vary with individuals and contexts. Therefore, no single model is expected to describe discounting processes completely. Discounting biases appear more prevalent in health decisions than in economic decisions, even when health and monetary outcomes are matched for utility. Research on decision-making under conditions of uncertainty has documented numerous anomalies of expected utility. Analysis on the anomalies related to intertemporal choice and discounted utility (DU) include the magnitude effect, dynamic inconsistency effect, instant endowment, status quo bias, and sequence effect. Discounting biases in the formulation of preventive health messages are important. The desire for behavioral change in these programs would benefit from considering the psychological factor of discounting. Framing health messages in terms of large, important outcomes or long delays should induce lower implicit discount rates. Framing health messages as losses rather than gains, or as involving a series of outcomes rather than individual outcomes, might similarly lower the implicit discount rate used.
authors.affiliation: Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA. monicaortendahl@hotmail.com
authors.forename: Monica
authors.initials: M
authors.lastname: Ortendahl
authors.forename: James F
authors.initials: JF
authors.lastname: Fries
mesh_terms: D003365:Costs and Cost Analysis; D003657:Decision Making; D004194:Disease; D006262:Health; D006801:Humans; D013997:Time Factors; D016896:Treatment Outcome; D035501:Uncertainty; D015431:Weight Loss