| Literature DB >> 28261642 |
Heidi Turon1, Amy Waller1, Tara Clinton-McHarg1, Allison Boyes1, Jennifer Fleming2, Paula Marlton3, Simon J Harrison4, Rob Sanson-Fisher1.
Abstract
BACKGROUND: A high level of support for tissue banking has been identified amongst both the general public and patients. However, much debate remains about the regulatory framework of tissue banks.Entities:
Keywords: Biobanking; Consent; Hematology; Oncology; Tissue banking
Year: 2016 PMID: 28261642 PMCID: PMC5315074 DOI: 10.1007/s40487-016-0019-x
Source DB: PubMed Journal: Oncol Ther ISSN: 2366-1089
Sociodemographic and disease characteristics of study sample (n = 215)
| Characteristic |
|
|---|---|
| Gender | |
| Male | 124 (58) |
| Female | 91 (42) |
| Age at questionnaire completion | |
| Less than 55 | 57 (27) |
| 55–74 | 123 (58) |
| 75+ | 33 (15) |
| Type of cancer | |
| Lymphoma | 92 (43) |
| Leukaemia | 54 (25) |
| Myeloma | 53 (25) |
| Other blood cancers | 15 (7.0) |
| Time since diagnosis (years) | |
| <1 | 59 (27) |
| 1–2 | 41 (19) |
| 2+ | 114 (53) |
| Stage of cancer | |
| Early | 70 (32) |
| Advanced | 43 (20) |
| In remission | 23 (11) |
| Do not know | 77 (36) |
| Treatment received | |
| Chemotherapy only | 49 (26) |
| Chemotherapy and other | 115 (54) |
| Other only | 26 (12) |
| No treatment | 24 (11) |
| Marital status | |
| Married or partner | 156 (73) |
| Single, divorced, separated or widowed | 56 (26) |
| Education completed | |
| High school or below | 93 (44) |
| Vocational training | 68 (32) |
| University degree | 52 (24) |
| Employment status | |
| Paid employment | 77 (36) |
| Not in labour force | 133 (62) |
| Unemployed | 4 (1.9) |
| Place of birth | |
| Australia | 153 (72) |
| Other English-speaking country | 29 (14) |
| Other non-English-speaking country | 31 (15) |
aNot all columns sum to 215 because of missing data
Factors associated with preferences for giving permission
| Permission given once | Permission given each time or unsure | Multivariable adjusted model | |||
|---|---|---|---|---|---|
| Odds ratio | 95% CI |
| |||
| Education | |||||
| High school or below | 65 (75) | 22 (25) | Reference | ||
| University | 37 (71) | 15 (29) | 0.84 | 0.36, 1.94 | 0.68 |
| Vocational training | 54 (84) | 10 (16) | 1.74 | 0.72, 4.21 | 0.22 |
| Country of birth | |||||
| Australia | 116 (81) | 27 (19) | Reference | ||
| Other English speaking | 23 (79) | 6 (21) | 0.85 | 0.30, 2.42 | 0.76 |
| Non-English speaking | 17 (55) | 14 (45) | 0.31 | 0.13, 0.74 | 0.008* |
| Type of cancer | |||||
| Lymphoma | 65 (73) | 24 (27) | Reference | ||
| Leukaemia | 38 (75) | 13 (25) | 1.19 | 0.52, 2.71 | 0.67 |
| Myeloma | 42 (84) | 8 (16) | 2.31 | 0.89, 5.99 | 0.08 |
| Other | 11 (85) | 2 (15) | 2.10 | 0.42, 10.50 | 0.37 |
* Significant at p < 0.05
Effect of age on preference for tissue sample linkage
| Linked | Unlinked or no preference | Multivariable adjusted model | |||
|---|---|---|---|---|---|
| Odds ratio | 95% CI |
| |||
| Age | |||||
| Less than 55 | 38 (67) | 19 (33) | Reference | ||
| 55–74 | 98 (82) | 22 (18) | 2.28 | 1.11, 4.69 | 0.03* |
| 75 or older | 22 (73) | 8 (27) | 1.39 | 0.52, 3.73 | 0.51 |
* Significant at p < 0.05