| Literature DB >> 30732616 |
Colene Bentley1, Stuart Peacock2, Julia Abelson3, Michael M Burgess4, Olivier Demers-Payette5, Holly Longstaff6, Laura Tripp3, John N Lavis7, Michael G Wilson7.
Abstract
BACKGROUND: Health system expenditure on cancer drugs is rising rapidly in many OECD countries given the costly new treatments and increased rates of use due to a growing and ageing population. These factors put considerable strain on the sustainability of health systems worldwide, sparking public debate among clinicians, pharmaceutical companies, policy-makers and citizens on issues of affordability and equity. We engaged Canadians through a series of deliberative public engagement events to determine their priorities for making cancer drug funding decisions fair and sustainable in Canada's publicly financed health system.Entities:
Keywords: Canada; Public engagement; cancer; priority-setting
Mesh:
Substances:
Year: 2019 PMID: 30732616 PMCID: PMC6367823 DOI: 10.1186/s12961-019-0411-8
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Participant demographics
| Provincial panels | Pan-Canadian | |||||||
|---|---|---|---|---|---|---|---|---|
| Provincial total | Percentage of total | Hamilton | Halifax | Montreal (English) | Saskatoon | Montreal (French) | ||
| Participants | 115 | 25 | 24 | 20 | 21 | 25 | 24 | |
| Sex | ||||||||
| Male | 53 | 46% | 12 | 13 | 8 | 9 | 11 | 13 |
| Female | 62 | 54% | 13 | 11 | 12 | 12 | 14 | 11 |
| Age, years | ||||||||
| 18–24 | 4 | 3% | 2 | 0 | 0 | 1 | 1 | 0 |
| 25–34 | 21 | 18% | 4 | 6 | 3 | 5 | 3 | 5 |
| 35–49 | 29 | 25% | 10 | 6 | 2 | 5 | 6 | 3 |
| 50–64 | 34 | 30% | 6 | 5 | 11 | 5 | 7 | 11 |
| 65+ | 27 | 23% | 3 | 7 | 4 | 5 | 8 | 5 |
| Geography | ||||||||
| Urban area | 56 | 49% | 13 | 11 | 9 | 10 | 13 | 14 |
| Suburban area | 44 | 38% | 10 | 10 | 8 | 6 | 10 | 7 |
| Rural area | 15 | 13% | 2 | 3 | 3 | 5 | 2 | 3 |
| Income | ||||||||
| Less than $20,000 | 11 | 10% | 2 | 1 | 3 | 4 | 1 | 3 |
| Between $20,000 and $34,999 | 25 | 22% | 4 | 9 | 1 | 4 | 7 | 5 |
| Between $35,000 and $49,999 | 15 | 13% | 3 | 3 | 4 | 1 | 4 | 4 |
| Between $50,000 and $79,999 | 28 | 24% | 4 | 6 | 6 | 5 | 7 | 4 |
| More than $80,000 | 14 | 12% | 5 | 1 | 1 | 4 | 3 | 4 |
| Prefer not to answer | 22 | 19% | 7 | 4 | 5 | 3 | 3 | 4 |
| Education | ||||||||
| No certificate | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
| High school | 14 | 12% | 1 | 3 | 2 | 3 | 5 | 0 |
| College or apprenticeship, non-university | 23 | 20% | 6 | 4 | 5 | 3 | 5 | 9 |
| Some university | 23 | 20% | 4 | 4 | 4 | 2 | 9 | 3 |
| University or above | 55 | 48% | 14 | 13 | 9 | 13 | 6 | 12 |
| Children | ||||||||
| With children | 62 | 54% | 14 | 13 | 11 | 11 | 13 | 17 |
| Without children | 53 | 46% | 11 | 11 | 9 | 10 | 12 | 7 |
| Ethnicity | ||||||||
| Aboriginal | 6 | 5% | 2 | 1 | 0 | 3 | 0 | 2 |
| Arab/Middle Eastern | 8 | 7% | 2 | 0 | 3 | 2 | 1 | 2 |
| Black | 10 | 9% | 3 | 3 | 0 | 1 | 3 | 3 |
| Chinese | 4 | 3% | 1 | 3 | 0 | 0 | 0 | 2 |
| Filipino | 5 | 4% | 2 | 1 | 0 | 2 | 0 | 2 |
| Japanese | 3 | 3% | 3 | 0 | 0 | 0 | 0 | 2 |
| Korean | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
| Latin American | 7 | 6% | 3 | 1 | 2 | 0 | 1 | 0 |
| South Asian | 7 | 6% | 3 | 2 | 2 | 0 | 0 | 5 |
| White | 58 | 50% | 5 | 12 | 12 | 13 | 16 | 5 |
| Other | 4 | 3% | 0 | 1 | 1 | 0 | 2 | 0 |
| Prefer not to answer | 3 | 3% | 1 | 0 | 0 | 0 | 2 | 1 |
| Are you currently living with a chronic disease? | ||||||||
| Yes/Yes (sufferer/caregiver) | 16 | 14% | 3 | 4 | 3 | 3 | 3 | 4 |
| No/No (sufferer/caregiver) | 48 | 42% | 12 | 11 | 6 | 9 | 10 | 5 |
| Yes/No (sufferer/caregiver) | 27 | 23% | 6 | 4 | 6 | 5 | 6 | 5 |
| No/Yes (sufferer/caregiver) | 24 | 21% | 4 | 5 | 5 | 4 | 6 | 5 |
| No/no answer (sufferer/caregiver) | 2 | |||||||
| Yes/no answer (sufferer/caregiver) | 3 | |||||||
Fig. 1Decision scenarios