Table 4 Responses to items measuring attitudes towards population-based genetic testing for ovarian cancer risk (n = 146)
Strongly disagree N (%) | Disagree N (%) | Neither N (%) | Agree N (%) | Strongly agree N (%) | |
|---|---|---|---|---|---|
It would help identify those with a high risk of ovarian cancer. | 0 | 10 (6.8) | 17 (11.6) | 104 (71.2) | 15 (10.3) |
My patients could be discriminated against by insurers due to genetic testing results. | 7 (4.8) | 38 (26.0) | 34 (23.3) | 63 (43.2) | 4 (2.7) |
It could be cost effective in the long term. | 1 (0.7) | 27 (18.5) | 50 (34.2) | 57 (39.0) | 11 (7.5) |
Explaining genetic testing to patients would be too time consuming. | 14 (9.6) | 65 (44.5) | 32 (21.9) | 32 (21.9) | 3 (2.1) |
It would help patients make good healthcare decisions about managing risk. | 1 (0.7) | 13 (8.9) | 23 (15.8) | 99 (67.8) | 10 (6.8) |
It could have a negative impact on some of my patients. | 1 (0.7) | 16 (11.0) | 21 (14.4) | 94 (64.4) | 14 (9.6) |
Willingness to offer population-based genetic testing | |||||
I would be willing to offer all my adult female patients genetic testing for OC risk. | 8 (5.5) | 33 (22.6) | 35 (24.0) | 53 (36.3) | 17 (11.6) |