Literature DB >> 11357857

Psychosocial factors associated with the public's willingness to pay for genetic testing for cancer risk: a structural equations model.

K Bosompra1, T Ashikaga, B S Flynn, J K Worden, L J Solomon.   

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.

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Year:  2001        PMID: 11357857     DOI: 10.1093/her/16.2.157

Source DB:  PubMed          Journal:  Health Educ Res        ISSN: 0268-1153


  17 in total

Review 1.  Challenges to the translation of genomic information into clinical practice and health policy: Utilization, preferences and economic value.

Authors:  Kathryn A Phillips; Su-Ying Liang; Stephanie Van Bebber
Journal:  Curr Opin Mol Ther       Date:  2008-06

2.  Parents' attitudes toward pediatric genetic testing for common disease risk.

Authors:  Kenneth P Tercyak; Sharon Hensley Alford; Karen M Emmons; Isaac M Lipkus; Benjamin S Wilfond; Colleen M McBride
Journal:  Pediatrics       Date:  2011-04-18       Impact factor: 7.124

3.  Correlates of unprotected sex among adult heterosexual men living with HIV.

Authors:  Joel Milam; Jean L Richardson; Lilia Espinoza; Sue Stoyanoff
Journal:  J Urban Health       Date:  2006-07       Impact factor: 3.671

4.  Cost sharing and hereditary cancer risk: predictors of willingness-to-pay for genetic testing.

Authors:  Jennifer M Matro; Karen J Ruth; Yu-Ning Wong; Katen C McCully; Christina M Rybak; Neal J Meropol; Michael J Hall
Journal:  J Genet Couns       Date:  2014-05-06       Impact factor: 2.537

Review 5.  Predictors of genetic testing decisions: a systematic review and critique of the literature.

Authors:  Kate Sweeny; Arezou Ghane; Angela M Legg; Ho Phi Huynh; Sara E Andrews
Journal:  J Genet Couns       Date:  2014-04-11       Impact factor: 2.537

Review 6.  The practice of adult genetics: a 7-year experience from a single center.

Authors:  Tanya N Eble; Sandesh C S Nagamani; Luis M Franco; Sharon E Plon; Maria Blazo; Shweta U Dhar
Journal:  Am J Med Genet A       Date:  2012-12-13       Impact factor: 2.802

7.  Awareness, perceptions, and provider recommendation related to genetic testing for hereditary breast cancer risk among at-risk Hispanic women: similarities and variations by sub-ethnicity.

Authors:  Susan T Vadaparampil; Jessica McIntyre; Gwendolyn P Quinn
Journal:  J Genet Couns       Date:  2010-08-27       Impact factor: 2.537

8.  What women with ovarian cancer think and know about genetic testing.

Authors:  Robin A Lacour; Molly S Daniels; Shannon N Westin; Larissa A Meyer; Catherine C Burke; Kimberly A Burns; Shiney Kurian; Nicki F Webb; Terri B Pustilnik; Karen H Lu
Journal:  Gynecol Oncol       Date:  2008-08-06       Impact factor: 5.482

9.  The price of whole-genome sequencing may be decreasing, but who will be sequenced?

Authors:  Deborah A Marshall; Karen V MacDonald; Jill Oliver Robinson; Lisa F Barcellos; Milena Gianfrancesco; Monica Helm; Amy McGuire; Robert C Green; Michael P Douglas; Michael A Goldman; Kathryn A Phillips
Journal:  Per Med       Date:  2017-05-23       Impact factor: 2.512

10.  What are people willing to pay for whole-genome sequencing information, and who decides what they receive?

Authors:  Deborah A Marshall; Juan Marcos Gonzalez; F Reed Johnson; Karen V MacDonald; Amy Pugh; Michael P Douglas; Kathryn A Phillips
Journal:  Genet Med       Date:  2016-06-02       Impact factor: 8.822

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