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

2001 ◽  
Vol 16 (2) ◽  
pp. 157-172 ◽  
Author(s):  
K. Bosompra
2007 ◽  
Vol 4 (3) ◽  
pp. 341-350 ◽  
Author(s):  
Stephanie L Van Bebber ◽  
Su-Ying Liang ◽  
Kathryn A Phillips ◽  
Deborah Marshall ◽  
Judith Walsh ◽  
...  

2014 ◽  
Vol 23 (6) ◽  
pp. 1002-1011 ◽  
Author(s):  
Jennifer M. Matro ◽  
Karen J. Ruth ◽  
Yu-Ning Wong ◽  
Katen C. McCully ◽  
Christina M. Rybak ◽  
...  

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Aizuddin AN ◽  
Syed Rusli SAS ◽  
Ramdzan AR ◽  
Syed Omar SA ◽  
Mahmud Z ◽  
...  

INTRODUCTION: Increasing use of predictive genetic testing to address hereditary cancer risk has been commonly assessed by cost sharing practices. Little is known about how demographics, knowledge, attitude and practices may influence these individuals’ willingness to pay for cancer genetic testing. The objective of this research was to determine factors associated with willingness to pay for cancer genetic testing. MATERIALS AND METHODS: A self-administered questionnaire was distributed to 175 respondents in the oncology and day care unit in one of tertiary healthcare centre. The respondents comprised cancer patients, their family members and the community. RESULTS: A total of 117 (66.9%) participants were willing to pay for cancer genetic testing. Ninety three (79.5%) of respondents were willing to pay from their own pocket with a mean of MYR1201.77 (SD976.72) and 95 (54.3%) respondents were willing to pay, shared with insurance. There were significant associations between willingness to pay with status of respondent as patients or family members or community, gender, race, educational level, income, knowledge and attitude. CONCLUSION: This is the first study to evaluate factors associated with willingness to pay not only among cancer patients but also their family members and the community. These findings reveal that majority of respondents believe there is valuable personal benefit based on genetic risk information and they are willing to pay for it.


2008 ◽  
Author(s):  
Gemima R. Louis ◽  
Gisselene Beauplant ◽  
Nicole Beliard ◽  
Rose-Marie De Oray

1999 ◽  
Author(s):  
James C. Coyne ◽  
Jeffrey H. Sonis

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