| Literature DB >> 28690658 |
Jihyoun Lee1, Sungwon Kim2, Eunyoung Kang3, Suyeon Park4, Zisun Kim5, Min Hyuk Lee1.
Abstract
Lack of awareness, the stigma of carrying a genetic mutation, and economic factors are barriers to acceptance of BRCA genetic testing or appropriate risk management. We aimed to investigate the influence of Angelina Jolie's announcement of her medical experience and also health insurance reimbursement for BRCA gene testing on practice patterns for hereditary breast and ovarian cancer (HBOC). A survey regarding changes in practice patterns for HBOC before and after the announcement was conducted online. The rate of BRCA gene testing was obtained from the National Health Insurance Review and Assessment Service database. From May to August 2016, 70 physicians responded to the survey. Genetic testing recommendations and prophylactic management were increased after the announcement. Risk-reducing salpingo-oophorectomy and contralateral prophylactic mastectomy was significantly increased in BRCA carriers with breast cancer. The BRCA testing rate increased annually. Health insurance and a celebrity announcement were associated with increased genetic testing.Entities:
Keywords: Breast neoplasms; Genetic testing; Insurance coverage; Practice patterns; Prophylactic mastectomy
Year: 2017 PMID: 28690658 PMCID: PMC5500405 DOI: 10.4048/jbc.2017.20.2.203
Source DB: PubMed Journal: J Breast Cancer ISSN: 1738-6756 Impact factor: 3.588
Acceptance of risk-reducing surgery in BRCA1/2 mutation carriers
| Before announcement | After announcement | ||
|---|---|---|---|
| Bilateral risk-reducing mastectomy | 1 | 1 | 1.000 |
| Contralateral prophylactic mastectomy | 4 | 20 | 0.017 |
| Risk-reducing salpingo-oophorectomy | |||
| Unaffected carrier | 1 | 2 | 0.317 |
| Affected carrier | 16 | 75 | 0.002 |
*p-value by Wilcoxon's signed rank test.
Figure 1Annual trend of BRCA gene testing prescription. (A) Annual patient numbers who received BRCA1 and BRCA2 genetic testing. (B) Annual BRCA1 testing numbers by level of care from 2010 to 2015. p-value represents for trend test.
NA=not available.
BRCA1 testing prescription rate following patient factors and annual breast cancer incidence rate (2010–2013)
| β | SE | RR | 95% CI | ||||
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Model 1‡ | |||||||
| | 468.743 | 63.327 | 0.002 | 1.341 | 1.163 | 1.546 | 0.056 |
| Model 2§ | |||||||
| | 117.321 | 37.11 | 0.005 | 1.342 | 1.247 | 1.444 | <0.001 |
| Sex | <0.001 | 0.019 | |||||
| Male | Reference | Reference | |||||
| Female | 701.083 | 126.753 | 0.361 | 0.172 | 0.757 | ||
| Patients | 0.024 | <0.001 | |||||
| Inpatient | Reference | 0.35 | 0.293 | 0.418 | |||
| Outpatient | –310.250 | 126.753 | Reference | ||||
| Model 3§ | |||||||
| | 234.657 | 51.137 | 0.001 | - | - | - | - |
| Area | 0.002 | ||||||
| Urban cities | Reference | - | - | - | - | ||
| Provincial area | –751.333 | 174.668 | - | - | - | - | |
SE=standard error; RR=relative risk; CI=confidence interval.
*p-value by Linear regression analysis without adjustment by annual breast cancer incidence; †p-value by Poisson regression analysis with adjustment by annual breast cancer incidence; ‡model observing serial change; §model observing serial change adjusted by multiple factors.
Figure 2Number of BRCA1 prescription by age group from 2010 to 2015. Age of 30' in women showed the highest testing rate.