| Literature DB >> 23870420 |
Wendy C Birmingham1, Neeraj Agarwal, Wendy Kohlmann, Lisa G Aspinwall, Mary Wang, Jay Bishoff, Christopher Dechet, Anita Y Kinney.
Abstract
BACKGROUND: The strong association between family history and prostate cancer (PCa) suggests a significant genetic contribution, yet specific highly penetrant PCa susceptibility genes have not been identified. Certain single-nucleotide-polymorphisms have been found to correlate with PCa risk; however uncertainty remains regarding their clinical utility and how to best incorporate this information into clinical decision-making. Genetic testing is available directly to consumers and both patients and healthcare providers are becoming more aware of this technology. Purchasing online allows patients to bypass their healthcare provider yet patients may have difficulty interpreting test results and providers may be called upon to interpret results. Determining optimal ways to educate both patients and providers, and strategies for appropriately incorporating this information into clinical decision-making are needed.Entities:
Mesh:
Year: 2013 PMID: 23870420 PMCID: PMC3750463 DOI: 10.1186/1472-6963-13-279
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Relative and health care provider focus group composition
| Relatives | | | |
| Non-Latino White | 4 | 3-5 | 17 |
| African American | 1 | 3 | 3 |
| Latino | 1 | 3 | 3 |
| Providers | | | |
| Urologists | 1 | 9 | 9 |
| Urology residents | 1 | 5 | 5 |
| Primary care physicians | 3 | 2-5 | 10 |
| Total | 11 | 47 |
Characteristics of study participants
| | ||
| Age, mean (standard deviation) | 57 years (6.3) | |
| | n | % |
| Ethnicity/Race | | |
| Non-Latino White | 17 | 74% |
| African American | 3 | 13% |
| Latino | 3 | 13% |
| Employment | | |
| For wages | 18 | 78% |
| Self-employed | 1 | 4% |
| Retired | 4 | 18% |
| Have health insurance | 22 | 96% |
| Income | | |
| $30-49,999 | 1 | 4% |
| $50-69,999 | 6 | 26% |
| $70,000 or more | 13 | 56% |
| Education level | | |
| High school or GED | 2 | 9% |
| Some college/AA, AS | 9 | 39% |
| College graduate | 7 | 30% |
| Postgraduate degree | 5 | 22% |
| Age, mean (standard deviation) | 46 years (12.9) | |
| | n | % |
| Specialty | | |
| Primary care | 8 | 34% |
| Internal Medicine | 2 | 8% |
| Urology | 14 | 58% |
| Male | 19 | 79% |
| Setting | | |
| Primary practice | 10 | 42% |
| Community urology | 8 | 33% |
| Academic urology | 6 | 25% |
| Years in practice | | |
| ≤10 | 11 | 46% |
| >10 | 13 | 54% |
Themes identified from focus group discussions
| | | |
| Genomic understanding | Relatives’ understanding of genomics | 98% |
| Benefits/ risks of testing | Relatives’ perceived benefits and risks associated with testing | 99% |
| Provider trust/personalized healthcare | Relatives’ trust in provider and belief provider will use testing results to guide personalized healthcare | 96% |
| Behavioral intent to change | Relatives’ intention to change diet, exercise and screening behavior based on test results | 97% |
| | | |
| Genetic self-efficacy | Providers’ belief in own ability to explain genetics and test results to patients | 98% |
| Patient wellbeing concerns | Providers’ concerns regarding patient wellbeing with testing | 99% |
| Test validity/ clinical utility | Providers’ beliefs concerning test validity and intentions to use results to guide medical decision making for patients | 98% |
| Belief in patient behavioral change | Providers’ belief patients will alter behavior | 98% |