| Literature DB >> 22070745 |
M Carey1, C Paul, E Cameron, M Lynagh, A Hall, F Tzelepis.
Abstract
Support persons of haematological cancer survivors may be faced with unique challenges due to the course of these diseases and the treatments required. This study aimed to examine the social and financial impacts associated with their role. Eight hundred adult survivors of haematological cancer within 3 years of diagnosis were invited via an Australian state population-based cancer registry to complete a survey. Survivors were mailed two questionnaire packages, one for themselves and one for their primary support person. Non-respondents were mailed reminders via the survivor after 3 weeks. One hundred and eighty-two support persons completed the questionnaire (85% response rate). Of these, 67 (46%) support persons reported having at least one personal expense and 91 (52%) experienced at least one financial impact. Male support persons and support persons of survivors in active treatment reported experiencing more personal expenses than other support persons. Older participants reported fewer financial consequences. A greater number of social impacts were reported by those born outside Australia, those who had to relocate for treatment and support persons of survivors in active treatment. Future research should focus on practical solutions to reducing these impacts on support persons.Entities:
Mesh:
Year: 2011 PMID: 22070745 PMCID: PMC3508421 DOI: 10.1111/j.1365-2354.2011.01302.x
Source DB: PubMed Journal: Eur J Cancer Care (Engl) ISSN: 0961-5423 Impact factor: 2.520
Figure 2Strategies perceived to help reduce the financial and social impact of supporting someone with cancer (n= 176).
Demographic characteristics of support persons
| Variable | |
|---|---|
| Age ( | Mean = 57.9, SD = 13.0 |
| Relationship to survivor ( | |
| Spouse/partner | 82% |
| Relative | 17% |
| Other | 1.1% |
| Female ( | 71% |
| Aboriginal and Torres Strait Islander ( | 1.1% |
| Urban location ( | 80% |
| Born in Australia ( | 68% |
| Married or living with partner( | 93% |
| Education ( | |
| Primary | 4.4% |
| Secondary | 46% |
| Trade or vocational training | 20% |
| University degree | 29% |
| Employment status ( | |
| Full time | 27% |
| Part-time | 24% |
| Retired | 33% |
| Do not do paid work | 11% |
| Unable to work as caring for someone with cancer | 3.3% |
| Residence ( | |
| Lives with family member | 99.5% |
| Lives on own | 0.5% |
| Lives with under 18 years old | 17% |
| Survivor's age ( | Mean = 59.2, SD = 14.2 |
| Time since survivor's diagnosis (months) ( | Mean = 18.4, SD = 10.2 |
| Survivor in active treatment ( | 11% |
| Survivor diagnosis ( | |
| Leukaemia | 25% |
| Myeloma | 16% |
| Non-Hodgkin lymphoma | 51% |
| Other lymphoma | 7% |
Figure 1Percentage of support persons who have had personal expenses related to supporting someone with cancer by expense type (n= 173).
Factors associated with having a greater number of financial and social impacts, and endorsing a greater number of solutions to these impacts
| Mean number of costs or solutions (SD) | Incident rate ratio | 95% Confidence interval | |||
|---|---|---|---|---|---|
| Number of personal expenses ( | |||||
| Gender | |||||
| Male | 47 | 1.81 (1.83) | 0.031 | 1.65 | 1.05–2.59 |
| Female | 110 | 1.06 (1.57) | |||
| Survivor treatment stage | |||||
| Pretreatment | 18 | 0.89 (1.71) | 0.003 | 0.28 | 0.12–0.65 |
| Active | 19 | 3.21 (1.75) | |||
| Maintenance | 32 | 1.28 (1.76) | 0.014 | 0.42 | 0.21–0.84 |
| Follow-ups | 47 | 0.98 (1.38) | 0.001 | 0.33 | 0.17–0.63 |
| In remission | 41 | 0.93 (1.31) | <0.001 | 0.29 | 0.15–0.56 |
| Number of financial impacts ( | |||||
| Age | 156 | <0.001 | 0.960 | 0.94–0.98 | |
| Gender | |||||
| Male | 47 | 0.62 (1.05) | 0.049 | 0.58 | 0.332–0.997 |
| Female | 109 | 1.34 (1.58) | |||
| Employment | |||||
| Full time | 38 | 1.45 (1.33) | 0.023 | 2.30 | 1.12–4.70 |
| Part time | 39 | 1.64 (1.37) | 0.021 | 2.23 | 1.13–4.41 |
| Do not do paid work | 25 | 1.48 (2.1) | 0.09 | 1.92 | 0.90–4.06 |
| Retired | 54 | 0.35 (0.93) | |||
| Number of social impacts ( | |||||
| Birth country | |||||
| Australia | 105 | 0.59 (0.94) | |||
| Other | 51 | 0.88 (1.01) | 0.001 | 1.99 | 1.30–3.04 |
| Relocated for treatment | |||||
| Yes | 25 | 1.48 (1.12) | <0.001 | 2.85 | 1.87–4.35 |
| No | 131 | 0.53 (0.86) | |||
| Survivor treatment stage | |||||
| Pretreatment | 17 | 0.18 (0.73) | 0.001 | 0.13 | 0.04–0.45 |
| Active | 18 | 1.28 (1.23) | |||
| Maintenance | 32 | 0.84 (1.05) | 0.032 | 0.53 | 0.3–0.95 |
| Follow-ups | 46 | 0.52 (0.78) | <0.001 | 0.32 | 0.17–0.58 |
| In remission | 43 | 0.7 (0.94) | 0.033 | 0.52 | 0.28–0.95 |
| Number of solutions ( | |||||
| Age | 156 | 0.045 | 0.980 | 0.97–0.999 | |
| Relocated for treatment | |||||
| Yes | 24 | 2.63 (2.02) | 0.009 | 1.89 | 1.17–3.06 |
| No | 132 | 1.32 (1.59) |
Reference category.