Skip to main content

Advertisement

Log in

Knowledge, Attitudes, Willingness to Pay, and Patient Preferences About Genetic Testing and Subsequent Risk Management for Cancer Prevention

  • Published:
Journal of Cancer Education Aims and scope Submit manuscript

Abstract

Knowledge, attitudes, and patient preferences about genetic testing and subsequent risk management for cancer prevention among average risk populations are understudied, especially among Hispanics. This study was to assess these items by conducting an in-person survey in this understudied population. We conducted in-person surveys using a self-administered, structured questionnaire among young women in 2017. Survey questions were adapted from other validated surveys. This study had 677 participants in the final analyses. Data were collected in 2017 and analyzed in 2018 and 2019. Participants had little knowledge about genes or breast cancer risk, but most felt that genetic testing for cancer prevention is “a good idea” (87.0%), “a reassuring idea” (84.0%), and that “everyone should get the test” (87.7%). Most (64.0%) of these women would pay up to $25 for the test, 29.3% would pay $25–$500, and < 10% would pay more than $500 for the test. When asked about a hypothetical scenario of high breast cancer risk, 34.2% Hispanics and 24.5% non-Hispanics would choose chemoprevention. Women would be less likely to choose risk reduction procedures, such as mastectomy (19.6% among Hispanics and 15.1% among non-Hispanics) and salpingo-oophorectomy (11.8% among Hispanics and 10.7% among non-Hispanics). In this low-income, mostly Hispanic population, knowledge about genetic testing and cancer risk is poor, but most have positive opinions about genetic testing for cancer prevention. However, their strong preference for chemoprevention and lesser preference for prophylactic surgeries in a hypothetical scenario underscore the importance of genetic counseling and education.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Availability of Data and Material

Data and material are available upon request to the corresponding author, Dr. Fangjian Guo (faguo@utmb.edu).

References

  1. Siegel RL, Miller KD, Jemal A (2018) Cancer statistics, 2018. CA Cancer J Clin 68(1):7–30

    Article  Google Scholar 

  2. Pomerantz MM, Freedman ML (2011) The genetics of cancer risk. Cancer J 17(6):416–422

    Article  CAS  Google Scholar 

  3. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, Pukkala E, Skytthe A, Hemminki K (2000) Environmental and heritable factors in the causation of cancer—analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 343(2):78–85

    Article  CAS  Google Scholar 

  4. Weitzel JN, Blazer KR, MacDonald DJ, Culver JO, Offit K (2011) Genetics, genomics, and cancer risk assessment: state of the art and future directions in the era of personalized medicine. CA Cancer J Clin 61(5):327–359

    PubMed  PubMed Central  Google Scholar 

  5. Robson M, Offit K (2007) Clinical practice. Management of an inherited predisposition to breast cancer. N Engl J Med 357(2):154–162

    Article  CAS  Google Scholar 

  6. Schwartz GF, Hughes KS, Lynch HT, Fabian CJ, Fentiman IS, Robson ME, Domchek SM, Hartmann LC, Holland R, Winchester DJ, and the Consensus Conference Committee (2008) Proceedings of the international consensus conference on breast cancer risk, genetics, & risk management, April, 2007. Cancer. 113(10):2627–2637

    Article  Google Scholar 

  7. Nelson HD, Pappas M, Zakher B, Mitchell JP, Okinaka-Hu L, Fu R (2014) Risk assessment, genetic counseling, and genetic testing for BRCA-related cancer in women: a systematic review to update the U.S. Preventive Services Task Force recommendation. Ann Intern Med 160(4):255–266

    Article  Google Scholar 

  8. Antoniou AC, Hardy R, Walker L, Evans DG, Shenton A, Eeles R, Shanley S, Pichert G, Izatt L, Rose S, Douglas F, Eccles D, Morrison PJ, Scott J, Zimmern RL, Easton DF, Pharoah PDP (2008) Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics. J Med Genet 45(7):425–431

    Article  CAS  Google Scholar 

  9. Nelson HD, Huffman LH, Fu R, Harris EL (2005) Force USPST. Genetic risk assessment and BRCA mutation testing for breast and ovarian cancer susceptibility: systematic evidence review for the U.S. Preventive Services Task Force. Ann Intern Med 143(5):362–379

    Article  CAS  Google Scholar 

  10. FitzGerald MG, MacDonald DJ, Krainer M et al (1996) Germ-line BRCA1 mutations in Jewish and non-Jewish women with early-onset breast cancer. N Engl J Med 334(3):143–149

    Article  CAS  Google Scholar 

  11. Levy-Lahad E, Lahad A, King MC (2015) Precision medicine meets public health: population screening for BRCA1 and BRCA2. J Natl Cancer Inst 107(1):420

    Article  Google Scholar 

  12. Metcalfe KA, Eisen A, Lerner-Ellis J, Narod SA (2015) Is it time to offer BRCA1 and BRCA2 testing to all Jewish women? Curr Oncol 22(4):e233–e236

    Article  CAS  Google Scholar 

  13. Kemp Z (2020) Breast Unit RMNHSFT, London, United Kingdom, Cancer Genetics Unit RMNHSFT, London, United Kingdom, et al. Evaluation of cancer-based criteria for use in mainstream BRCA1 and BRCA2 genetic testing in patients with breast cancer. JAMA Network Open 2(5)

  14. Alsop K, Fereday S, Meldrum C, deFazio A, Emmanuel C, George J, Dobrovic A, Birrer MJ, Webb PM, Stewart C, Friedlander M, Fox S, Bowtell D, Mitchell G (2012) BRCA mutation frequency and patterns of treatment response in BRCA mutation-positive women with ovarian cancer: a report from the Australian Ovarian Cancer Study Group. J Clin Oncol 30(21):2654–2663

    Article  CAS  Google Scholar 

  15. Color Test $249. https://getcolor.com/kit/how-it-works. Accessed Sept 9, 2016

  16. Drohan B, Roche CA, Cusack JC, Hughes KS (2012) Hereditary breast and ovarian cancer and other hereditary syndromes: using technology to identify carriers. Ann Surg Oncol 19(6):1732–1737

    Article  Google Scholar 

  17. American Cancer Society. Breast Cancer Facts & Figures 2015–2016. Atlanta: American Cancer Society, Inc. 2015. http://www.cancer.org/acs/groups/content/@research/documents/document/acspc-046381.pdf. Accessed on Jun 30, 2016. In

  18. Risch HA, McLaughlin JR, Cole DE et al (2006) Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances: a kin-cohort study in Ontario, Canada. J Natl Cancer Inst 98(23):1694–1706

    Article  CAS  Google Scholar 

  19. National Center for Health Statistics. Survey Description, National Health Interview Survey, 2013. Hyattsville, Maryland. 2014

  20. Matro JM, Ruth KJ, Wong YN, McCully KC, Rybak CM, Meropol NJ, Hall MJ (2014) Cost sharing and hereditary cancer risk: predictors of willingness-to-pay for genetic testing. J Genet Couns 23(6):1002–1011

    Article  Google Scholar 

  21. van den Berg M, Timmermans DR, Ten Kate LP, van Vugt JM, van der Wal G (2005) Are pregnant women making informed choices about prenatal screening? Genet Med. 7(5):332–338

    Article  Google Scholar 

  22. Kooij L, Tymstra T, Berg P (2009) The attitude of women toward current and future possibilities of diagnostic testing in maternal blood using fetal DNA. Prenat Diagn 29(2):164–168

    Article  Google Scholar 

  23. Galbraith KV, Lechuga J, Jenerette CM, Moore LA, Palmer MH, Hamilton JB (2016) Parental acceptance and uptake of the HPV vaccine among African-Americans and Latinos in the United States: a literature review. Soc Sci Med 159:116–126

    Article  Google Scholar 

  24. Palomaki GE, McClain MR, Steinort K, Sifri R, LoPresti L, Haddow JE (2006) Screen-positive rates and agreement among six family history screening protocols for breast/ovarian cancer in a population-based cohort of 21- to 55-year-old women. Genet Med. 8(3):161–168

    Article  Google Scholar 

  25. McClain MR, Palomaki GE, Hampel H, Westman JA, Haddow JE (2008) Screen positive rates among six family history screening protocols for breast/ovarian cancer in four cohorts of women. Familial Cancer 7(4):341–345

    Article  Google Scholar 

  26. National Comprehensive Cancer Network: NCCN Clinical Practice Guidelines in Oncology: Genetic/Familial High-Risk Assessment: Breast and Ovarian. Version 1.2018. Fort Washington, PA: National Comprehensive Cancer Network, 2017. https://www.nccn.org/professionals/physician_gls/pdf/genetics_screening.pdf. Accessed Oct 5, 2017. In

  27. Hampel H, Bennett RL, Buchanan A, Pearlman R, Wiesner GL (2015) Guideline development group AeCoMGaGPPaGCaNSoGCPGC. A practice guideline from the American College of Medical Genetics and Genomics and the National Society of Genetic Counselors: referral indications for cancer predisposition assessment. Genet Med 17(1):70–87

    Article  Google Scholar 

  28. Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. Anglian Breast Cancer Study Group. Br J Cancer. 2000;83(10):1301–1308

  29. Gabai-Kapara E, Lahad A, Kaufman B, Friedman E, Segev S, Renbaum P, Beeri R, Gal M, Grinshpun-Cohen J, Djemal K, Mandell JB, Lee MK, Beller U, Catane R, King MC, Levy-Lahad E (2014) Population-based screening for breast and ovarian cancer risk due to BRCA1 and BRCA2. Proc Natl Acad Sci U S A 111(39):14205–14210

    Article  CAS  Google Scholar 

  30. Hann KEJ, Freeman M, Fraser L et al (2017) Awareness, knowledge, perceptions, and attitudes towards genetic testing for cancer risk among ethnic minority groups: a systematic review. BMC Public Health 17(1):503

    Article  Google Scholar 

  31. Kinney AY, Croyle RT, Dudley WN, Bailey CA, Pelias MK, Neuhausen SL (2001) Knowledge, attitudes, and interest in breast-ovarian cancer gene testing: a survey of a large African-American kindred with a BRCA1 mutation. Prev Med 33(6):543–551

    Article  CAS  Google Scholar 

  32. Sankar P, Wolpe PR, Jones NL, Cho M (2006) How do women decide? Accepting or declining BRCA1/2 testing in a nationwide clinical sample in the United States. Community Genet 9(2):78–86

    PubMed  PubMed Central  Google Scholar 

  33. Peters N, Rose A, Armstrong K (2004) The association between race and attitudes about predictive genetic testing. Cancer Epidemiol Biomark Prev 13(3):361–365

    Google Scholar 

  34. Hudson KL (2007) Prohibiting genetic discrimination. N Engl J Med 356(20):2021–2023

    Article  CAS  Google Scholar 

  35. Finlay E, Stopfer JE, Burlingame E, Evans KG, Nathanson KL, Weber BL, Armstrong K, Rebbeck TR, Domchek SM (2008) Factors determining dissemination of results and uptake of genetic testing in families with known BRCA1/2 mutations. Genet Test 12(1):81–91

    Article  Google Scholar 

  36. Landsbergen K, Verhaak C, Kraaimaat F, Hoogerbrugge N (2005) Genetic uptake in BRCA-mutation families is related to emotional and behavioral communication characteristics of index patients. Familial Cancer 4(2):115–119

    Article  Google Scholar 

  37. Surbone A (2011) Social and ethical implications of BRCA testing. Ann Oncol 22(Suppl 1):i60–i66

    Article  Google Scholar 

  38. Schwartz MD, Isaacs C, Graves KD, Poggi E, Peshkin BN, Gell C, Finch C, Kelly S, Taylor KL, Perley L (2012) Long-term outcomes of BRCA1/BRCA2 testing: risk reduction and surveillance. Cancer. 118(2):510–517

    Article  Google Scholar 

  39. Rebbeck TR, Kauff ND, Domchek SM (2009) Meta-analysis of risk reduction estimates associated with risk-reducing salpingo-oophorectomy in BRCA1 or BRCA2 mutation carriers. J Natl Cancer Inst 101(2):80–87

    Article  CAS  Google Scholar 

  40. Hartmann LC, Sellers TA, Schaid DJ, Frank TS, Soderberg CL, Sitta DL, Frost MH, Grant CS, Donohue JH, Woods JE, McDonnell SK, Vockley CW, Deffenbaugh A, Couch FJ, Jenkins RB (2001) Efficacy of bilateral prophylactic mastectomy in BRCA1 and BRCA2 gene mutation carriers. J Natl Cancer Inst 93(21):1633–1637

    Article  CAS  Google Scholar 

  41. Robson ME, Storm CD, Weitzel J, Wollins DS, Offit K (2010) Oncology ASoC. American Society of Clinical Oncology policy statement update: genetic and genomic testing for cancer susceptibility. J Clin Oncol 28(5):893–901

    Article  Google Scholar 

Download references

Funding

Dr. Guo is currently supported by the National Cancer Institute of the National Institutes of Health under Award Number K07CA222343. Dr. Guo was and Dr. Fuchs is currently supported by a research career development award (K12HD052023: Building Interdisciplinary Research Careers in Women’s Health Program–BIRCWH; Berenson, PI) from the Office of Research on Women’s Health (ORWH) and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) at the National Institutes of Health (NIH). Drs. Cofie and Brown were postdoctoral fellows supported by an institutional training grant (National Research Service Award T32HD055163, Berenson, PI) from the NICHD at the NIH. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Author information

Authors and Affiliations

Authors

Contributions

FG: study concept, analysis and interpretation of data, preparation of manuscript. JH, EF, LE, VB, and AB: study concept and design, interpretation of data, critical revision of manuscript. YK and MF: analysis and interpretation of data, critical revision of manuscript.

Corresponding author

Correspondence to Fangjian Guo.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflicts of interest.

Ethics Approval (Include Appropriate Approvals or Waivers)

The Institutional Review Board at The University of Texas Medical Branch approved this study, including a waiver of written consent.

Consent to Participate

Oral consent from the participants was obtained.

Code Availability (Software Application or Custom Code)

Code is available upon request to the corresponding author, Dr. Fangjian Guo (faguo@utmb.edu).

Additional information

Role of the Funding Source

The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic Supplementary Material

ESM 1

(PDF 78 kb)

ESM 2

(DOCX 115 kb)

ESM 3

(DOCX 83 kb)

ESM 4

(PDF 310 kb)

ESM 5

(PDF 310 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, F., Hirth, J.M., Fuchs, E.L. et al. Knowledge, Attitudes, Willingness to Pay, and Patient Preferences About Genetic Testing and Subsequent Risk Management for Cancer Prevention. J Canc Educ 37, 362–369 (2022). https://doi.org/10.1007/s13187-020-01823-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13187-020-01823-0

Keywords

Navigation