Table 2.
All respondents, n (%) |
Age groups, n (%) |
||||
---|---|---|---|---|---|
n = 2196 | 40–54 years | 55–64 years | 65–74 years | P | |
Q1 What is your attitude to new technology, such as online banking and social media? | |||||
Negative, 1 or 2 | 191 (9) | 36 (6) | 40 (7) | 103 (11) | |
Positive, 3 or 4 | 1999 (91) | 613 (94) | 502 (93) | 816 (89) | <0.005 |
Q2 What is your understanding of new technology such as computers, mobile phones and the Internet? | |||||
Low, 1 or 2 | 668 (30) | 127 (20) | 161 (30) | 353 (38) | |
High, 3 or 4 | 1522 (69) | 522 (80) | 381 (70) | 566 (62) | <0.005 |
Q3 What would be your reaction were you offered a computer-only reading immediately after your examination? | |||||
Dissatisfied, 1 or 2 | 723 (33) | 212 (33) | 189 (35) | 292 (32) | |
Satisfied, 3 or 4 | 1473 (67) | 437 (67) | 355 (65) | 631 (68) | 0.5 |
Q4 How certain would you be that your breasts were healthy after a computer-only reading? | |||||
Uncertain, 1 or 2 | 885 (40) | 270 (42) | 230 (42) | 345 (37) | |
Certain, 3 or 4 | 1306 (59) | 377 (58) | 312 (58) | 577 (63) | 0.1 |
Q5 What would be your reaction were you informed that a physician reading was to be added to the computer-reading? | |||||
Dissatisfied, 1 or 2 | 357 (16) | 110 (17) | 102 (19) | 136 (15) | |
Satisfied, 3 or 4 | 1838 (84) | 538 (83) | 442 (81) | 787 (85) | 0.1 |
Q6 If you could sit down and wait for a final computer and physician reading, how long would you wait? | |||||
I would not wait | 605 (28) | 176 (37) | 176 (48) | 228 (33) | |
30 min | 696 (32) | 246 (52) | 150 (41) | 276 (40) | |
1 h | 515 (23) | 134 (28) | 123 (34) | 239 (34) | |
2 h | 231 (11) | 60 (13) | 47 (13) | 116 (17) | |
3 h | 146 (7) | 33 (7) | 47 (13) | 62 (9) | <0.005 |
Q7 How confident would you be of the accuracy of a combined computer and physician reading? | |||||
Uncertain, 1 or 2 | 57 (3) | 21 (3) | 10 (2) | 25 (3) | |
Certain, 3 or 4 | 2135 (97) | 627 (97) | 533 (98) | 896 (97) | 0.3 |
Q8 Given the computer is at least as good as the average physician, what would you prefer? | |||||
Computer-only reading | 839 (38) | 127 (38) | 161 (37) | 353 (39) | |
Two physician reading | 1357 (62) | 522 (62) | 381 (63) | 566 (61) | 0.5 |
Q9 What do you think about letting screening frequency be determined by a computer? | |||||
Bad, 1 or 2 | 787 (36) | 234 (36) | 203 (37) | 319 (35) | |
Good, 3 or 4 | 1405 (64) | 415 (64) | 340 (63) | 601 (65) | 0.6 |
Q10 How well would you trust a computer to determine frequency of screening mammograms? | |||||
Not at all, 1 or 2 | 838 (38) | 228 (35) | 230 (42) | 347 (38) | |
Entirely, 3 or 4 | 1355 (62) | 421 (65) | 314 (58) | 573 (62) | 0.04 |
Q11 What would you think if computerized assessment leads to you being offered screening annually? | |||||
Bad, 1 or 2 | 179 (8) | 48 (7) | 43 (8) | 81 (9) | |
Good, 3 or 4 | 2013 (92) | 600 (93) | 501 (92) | 839 (91) | 0.6 |
Q12 What would you think if computerized assessment leads to you being offered screening every fourth year? | |||||
Bad, 1 or 2 | 1314 (60) | 388 (60) | 328 (60) | 548 (59) | |
Good, 3 or 4 | 880 (40) | 261 (40) | 215 (40) | 374 (41) | 0.9 |
Q13 What do you think about a computer determining your need for an addition of MRI? | |||||
Bad, 1 or 2 | 264 (12) | 66 (10) | 67 (12) | 124 (13) | |
Good, 3 or 4 | 1928 (88) | 580 (90) | 477 (88) | 798 (87) | 0.2 |
Q14 How well would you trust a decision of a need for MRI determined by a computer? | |||||
Not at all, 1 or 2 | 448 (20) | 125 (19) | 124 (23) | 184 (20) | |
Entirely, 3 or 4 | 1742 (79) | 522 (81) | 419 (77) | 736 (80) | 0.3 |
Q15 What would you think were you offered an MRI? | |||||
Bad, 1 or 2 | 357 (16) | 110 (17) | 102 (19) | 136 (15) | |
Good, 3 or 4 | 1838 (84) | 538 (83) | 442 (81) | 787 (85) | 0.1 |
Q16 What would you think were you not offered an MRI? | |||||
Bad, 1 or 2 | 798 (36) | 203 (31) | 206 (38) | 359 (39) | |
Good, 3 or 4 | 1390 (63) | 443 (69) | 337 (62) | 560 (61) | 0.006 |
P values in the rightmost column correspond to a χ2 test between age groups and responses to the survey questions.
Respondents divided by age groups do not add up to the corresponding total numbers in the left-most columns. This is due to age data missing for 55 respondents and recorded as > 74 years in 25 cases.