title: Psychosocial factors associated with the public's willingness to pay for genetic testing for cancer risk: a structural equations model.
abstract: An adaptation of Andersen's behavioral model of health services utilization is used to examine the psychosocial and socio-demographic factors that directly and indirectly influence the likelihood of undergoing genetic susceptibility testing for cancer, and the amount of money that individuals would be willing to pay out-of-pocket for such a test. Apart from willingness and likelihood, the model also included perceived benefits and barriers, perceived susceptibility, dispositional optimism, information seeking, family history of cancer, socioeconomic status (SES), and age, and explained 30.3% of the variation in willingness. We found as hypothesized that likelihood of undergoing such tests was central to understanding willingness to pay. Being aware of genetic susceptibility testing for cancer, and talking and seeking information about it was directly associated with an increased chance of being willing to pay more, independent of other indirect associations (effects). Interventions targeting those with a family history of cancer and those with a higher SES should generate more awareness about the potential positive and negative consequences to one's family of testing, and the interface between family history of cancer and perceived susceptibility. Interventions should also motivate people to talk and seek more information about genetic testing for cancer risk to enable them take well-informed decisions.
authors.affiliation: Department of Medical Biostatistics, University of Vermont, Burlington, VT 05405, USA.
authors.forename: K
authors.initials: K
authors.lastname: Bosompra
authors.forename: T
authors.initials: T
authors.lastname: Ashikaga
authors.forename: B S
authors.initials: BS
authors.lastname: Flynn
authors.forename: J K
authors.initials: JK
authors.lastname: Worden
authors.forename: L J
authors.initials: LJ
authors.lastname: Solomon
mesh_terms: D000328:Adult; D000368:Aged; D001294:Attitude to Health; D005163:Factor Analysis, Statistical; D005260:Female; D005382:Financing, Personal; D005820:Genetic Testing / Q000191:economics*; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009369:Neoplasms / Q000235:genetics* / Q000517:prevention & control*; D009518:New York; D012959:Socioeconomic Factors