| Literature DB >> 28703871 |
Felicity K Boardman1, Philip J Young2, Oliver Warren2, Frances E Griffiths1.
Abstract
PURPOSE: Autosomal recessive conditions, while individually rare, are a significant health burden with limited treatment options. Population carrier screening has been suggested as a means of tackling them. Little is known, however, about the attitudes of the general public towards such carrier screening and still less about the views of people living with candidate genetic diseases. Here, we focus on the role that such experience has on screening attitudes by comparing views towards screening of people with and without prior experience of the monogenetic disorder, Spinal Muscular Atrophy.Entities:
Keywords: ethics; experiential knowledge; genetic screening; spinal muscular atrophy
Mesh:
Year: 2017 PMID: 28703871 PMCID: PMC5750730 DOI: 10.1111/hex.12602
Source DB: PubMed Journal: Health Expect ISSN: 1369-6513 Impact factor: 3.377
Characteristics and demographics of survey responders. Demographics are shown for responders from the general population (n=336), responders associated with SMA families (n=337). Response distributions were compared between the two groups and significant differences were assessed using chi‐squared analysis (P‐value)
| Characteristic | General population (n=336) | SMA screening survey (n=337) |
|
|---|---|---|---|
| Gender ‐ no. (%) | <.0001 | ||
| Male | 190 (57%) | 85 (25%) | |
| Female | 146 (43%) | 251 (75%) | |
| Age | <.0001 | ||
| 18‐25 y | Excluded | 16 (5%) | |
| 26‐34 y | 79 (24%) | 40 (12%) | |
| 35‐45 y | 80 (24%) | 99 (29%) | |
| 46‐55 y | 108 (32%) | 76 (23%) | |
| 56‐65 y | 44 (13%) | 49 (15%) | |
| >65 y | 25 (7%) | 56 (17%) | |
| Qualifications | <.0001 | ||
| Degree or higher | 187 (56%) | 122 (36%) | |
| Other/none | 149 (44%) | 215 (64%) | |
| Religious | .96 | ||
| Yes | 208 (62%) | 185 (55%) | |
| No | 128 (38%) | 113 (45%) | |
P values were calculated with the use of the chi‐squared test.
18‐ to 25‐y‐olds were excluded to reduce selection bias (see Section 2).
Response summaries for questions assessing views on pre‐conception genetic screening (PCGS). Response breakdowns are shown for the general population, SMA‐associated family subgroups (type I, type II and type III) and adults with SMA (type II and type III). Responses for each question were stratified as “agree” v “other” (other= disagree and neither disagree nor agree). Response distributions were compared using chi‐squared analysis (P‐value; significant differences are highlighted (P<.05)
| SMA families | Adults with SMA | Statistical comparison (chi‐squared analysis) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Non‐SMA Population (n=336) | SMA Population (n=337) | Type IF (n=120) | Type II F (n=87) | Type III F (n=22) | Type II AwS (n=27) | Type III AwS (n=31) | Non‐SMA | Non‐SMA | Non‐SMA | Non‐SMA | Non‐SMA | Non‐SMA | |
| I would support a pre‐conception genetic screen for SMA | 0.004 | 0.47 | 0.003 | 0.09 | 0.001 | 0.22 | |||||||
| Agree | 288 (86%) | 260 (77%) | 106 (88%) | 63 (72%) | 16 (73%) | 17 (63%) | 29 (94%) | ||||||
| Other | 48 (14%) | 77 (23%) | 14 (12%) | 24 (28%) | 6 (27%) | 10 (37%) | 2 (6%) | ||||||
| Identifying SMA carriers before pregnancy will reduce the number if SMA‐associated terminations | 0.03 | 0.98 | 0.01 | 0.32 | 0.003 | 0.93 | |||||||
| Agree | 269 (80%) | 247 (73%) | 96 (80%) | 59 (68%) | 17 (77%) | 15 (56%) | 25 (80%) | ||||||
| Other | 67 (20%) | 90 (27%) | 24 (20%) | 28 (32%) | 5 (23%) | 12 (44%) | 6 (20%) | ||||||
| Idenitfying SMA carriers in the general population will increase awareness of SMA as a conditon | 0.22 | 0.06 | 0.009 | 0.52 | 0.008 | 0.57 | |||||||
| Agree | 304 (90%) | 295 (88%) | 115 (96%) | 70 (80%) | 19 (86%) | 20 (74%) | 29 (94%) | ||||||
| Other | 32 (10%) | 42 (12%) | 5 (4%) | 17 (20%) | 3 (14%) | 7 (26%) | 2 (6%) | ||||||
| Pre‐conception screening is a form of social engineering | 0.01 | 0.28 | 0.06 | 0.31 | <0.0001 | 0.15 | |||||||
| Agree | 62 (18%) | 88 (26%) | 17 (14%) | 24 (28%) | 6 (27%) | 15 (56%) | 9 (29%) | ||||||
| Other | 274 (82%) | 249 (74%) | 103 (86%) | 63 (72%) | 16 (73%) | 12 (44%) | 22 (71%) | ||||||
| Idenitfying SMA carriers in the general population will lead to carriers feeling stigmatised | 0.11 | <0.0001 | 0.35 | 0.68 | 0.02 | 0.51 | |||||||
| Agree | 94 (28%) | 76 (26%) | 10 (8%) | 20 (23%) | 7 (32%) | 13 (48%) | 10 (32%) | ||||||
| Other | 242 (72%) | 261 (74%) | 110 (92%) | 67 (77%) | 15 (68%) | 14 (52%) | 21 (68%) | ||||||
| Identifying SMA carriers before pregnancy would affect people's choice of reproductive partners | 0.01 | 0.42 | 0.09 | 0.02 | 0.08 | 0.003 | |||||||
| Agree | 118 (35%) | 151 (45%) | 47 (39%) | 39 (45%) | 13 (59%) | 14 (52%) | 19 (61%) | ||||||
| Other | 218 (65%) | 186 (55%) | 73 (61%) | 48 (55%) | 9 (41%) | 13 (48%) | 12 (39%) | ||||||
Response summaries for questions assessing views on prenatal genetic screening (PNGS). Response breakdowns are shown for the general population, SMA‐associated family subgroups (type I, type II and type III) and adults with SMA (type II and type III). Responses for each question were stratified as “agree” v “other” (other= disagree and neither disagree nor agree). Response distributions were compared using chi‐squared analysis (P‐value; significant differences are highlighted (P<.05)
| SMA Families | Adults with SMA | Statistical comparison (chi‐SMA Families squared analysis) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Non‐SMA Population (n=336) | SMA Population (n=337) | Type I F (n=120) | Type II F (n=87) | Type III F (n=22) | Type II AwS (n=27) | Type III AwS (n=31) | Non‐SMA | Non‐SMA | Non‐SMA | Non‐SMA | Non‐SMA | Non‐SMA | |
| I would support a prenatal screening programme for SMA | 0.009 | 0.38 | 0.005 | 0.06 | 0.002 | 0.61 | |||||||
| Agree | 283 (84%) | 257 (76%) | 105 (88%) | 62 (72%) | 15 (68%) | 14 (52%) | 25 (81%) | ||||||
| Other | 53 (16%) | 80 (24%) | 15 (12%) | 25 (29%) | 7 (32%) | 13 (48%) | 6 (19%) | ||||||
| Screening for SMA in pregnancy would enable everyone to make informed decision | 0.54 | 0.21 | 0.91 | 0.36 | 0.06 | 0.92 | |||||||
| Agree | 284 (85%) | 279 (83%) | 107 (89%) | 70 (80%) | 17 (77%) | 19 (70%) | 26 (84%) | ||||||
| Other | 52 (15%) | 58 (17%) | 13 (11%) | 17 (20%) | 5 (23%) | 8 (30%) | 5 (16%) | ||||||
| Screening for SMA in pregnancy will prevent unnecessary suffering | <0.0001 | 0.007 | 0.01 | 0.51 | <0.0001 | 0.21 | |||||||
| Agree | 222 (66%) | 201 (60%) | 95 (79%) | 45 (52%) | 13 (59%) | 6 (22%) | 17 (55%) | ||||||
| Other | 114 (34%) | 136 (40%) | 25 (21%) | 42 (48%) | 9 (41%) | 21 (78%) | 14 (45%) | ||||||
| Screening for SMA in pregnancy will raise awareness of the condition in the general population | 0.19 | 0.57 | 0.28 | 0.18 | 0.01 | 0.61 | |||||||
| Agree | 293 (87%) | 282 (84%) | 107 (89%) | 72 (83%) | 17 (77%) | 19 (70%) | 28 (90%) | ||||||
| Other | 43 (13%) | 55 (16%) | 13 (11%) | 15 (17%) | 5 (23%) | 8 (30%) | 3 (10%) | ||||||
| Idenitfying SMA carriers in the general population will increase awareness of SMA as a conditon | <0.0001 | <0.0001 | <0.0001 | 0.01 | <0.0001 | <0.0001 | |||||||
| Agree | 74 (22%) | 180 (53%) | 49 (41%) | 57 (66%) | 10 (45%) | 19 (70%) | 18 (58%) | ||||||
| Other | 262 (78%) | 157 (47%) | 71 (59%) | 30 (34%) | 12 (55%) | 8 (30%) | 13 (42%) | ||||||
| It would be a loss to society to have fewer people with SMA coming into the world | <0.0001 | 0.01 | <0.0001 | 0.52 | <0.0001 | 0.005 | |||||||
| Agree | 32 (10%) | 93 (28%) | 22 (18%) | 28 (32%) | 3 (14%) | 18 (67%) | 8 (26%) | ||||||
| Other | 304 (90%) | 244 (72%) | 98 (82%) | 59 (68%) | 19 (86%) | 9 (33%) | 23 (74%) | ||||||
| It would be difficult for pregnant couples to refuse screening for SMA during pregnancy | <0.0001 | <0.0001 | 0.0006 | 0.004 | 0.11 | 0.004 | |||||||
| Agree | 166 (49%) | 86 (26%) | 27 (23%) | 25 (29%) | 4 (18%) | 9 (33%) | 7 (23%) | ||||||
| Other | 170 (51%) | 251 (74%) | 93 (77%) | 62 (72%) | 18 (82%) | 18 (67%) | 24 (77%) | ||||||
| Screening for SMA in pregnancy is useful evening if the Type of SMA can not be determined | 0.0006 | <0.0001 | 0.4 | 0.21 | 0.31 | 0.08 | |||||||
| Agree | 184 (55%) | 228 (68%) | 92 (77%) | 52 (60%) | 15 (68%) | 12 (44%) | 22 (71%) | ||||||
| Other | 152 (45%) | 109 (32%) | 28 (23%) | 35 (40%) | 7 (32%) | 15 (56%) | 9 (29%) | ||||||
| Termination of milder forms of SMA is unfortunately necessary to reduce the number of severe SMA children being born | 0.37 | 0.02 | 0.15 | 0.76 | 0.04 | 0.69 | |||||||
| Agree | 97 (29%) | 108 (32%) | 48 (40%) | 32 (37%) | 7 (32%) | 3 (11%) | 10 (32%) | ||||||
| Other | 239 (71%) | 229 (68%) | 72 (60%) | 55 (63%) | 15 (68%) | 24 (89%) | 21 (68%) | ||||||