| Literature DB >> 29866065 |
Jennifer A H Bell1,2, Victoria Forcina3, Laura Mitchell3, Seline Tam3, Kate Wang3, Abha A Gupta4,5,6,7, Jeremy Lewin3,8,9.
Abstract
BACKGROUND: Adolescent and young adults (AYA) enrolment rates into cancer clinical trials (CCT) are the lowest of any age group globally. As AYA have distinct biological, psychosocial and relational needs, we aimed to explore any unique factors influencing their CCT decision-making process, including AYA-specific perceptions or attitudes towards CCT.Entities:
Keywords: Adolescent and young adult; Attitudes; Barriers; Beliefs; Cancer; Clinical trial; Perception; Psychosocial
Mesh:
Year: 2018 PMID: 29866065 PMCID: PMC5987432 DOI: 10.1186/s12885-018-4515-2
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Participant Characteristics
| Total participants (n, %) | 21 | |
|---|---|---|
| Age, Median (Range) | 31 (18-39) | |
| Gender | Male | 10 (48) |
| Female | 11 (52) | |
| Cancer Diagnosis | Testes | 3 (14) |
| Leukemia | 3 (14) | |
| Lymphoma | 6 (29) | |
| Breast | 3 (14) | |
| Sarcoma | 6 (29) | |
| Previous Trial Involvement | Approached regarding CCT | 12 (57) |
| Phase I | 2 (10) | |
| Phase I/II | 3 (14) | |
| Phase II | 3 (14) | |
| Phase III | 4 (19) | |
| Not Approached regarding CCT | 9 (43) | |
| Enrolled on CCT | 10 (48) | |
| Enrolled at time of diagnosis | 1 (5) | |
| Enrolled at time of recurrence or during treatment for metastatic disease. | 9 (43) | |
| English as first language | Yes | 18 (86) |
| No | 3 (14) | |
| Student and employment status | Currently Working | 6 (29) |
| Working prior to diagnosis | 13 (62) | |
| Currently at School | 3 (14) | |
| Completed university degree | Yes | 14 (67) |
| No | 7 (33) | |
| Children | Yes | 9 (43) |
| No | 12 (57) | |
| Mean no. of dependent children | 1.3 | |
| Relationship Status | Single | 4 (19) |
| In a Relationship | 8 (38) | |
| Married | 9 (43) |
Fig. 1A total of 35 themes were identified as influencing AYA patient decisions regarding enrollment in CCT. These themes were classified as either positive, negative or neutral influencers affecting AYA clinical trial enrollment
Five prevalent themes influencing AYA decision making were identified in ≥90% of participants
| Theme Classification | Theme | Example |
|---|---|---|
| Positive | Severity of illness/urgency (95%) |
|
| Negative | Concern about side effects (90%) | |
| Neutral | Recruitment method (100%) |
|
| Additional information (95%) |
| |
| Opinion of others (100%) |
|