Search

The COVID-19 pandemic highlighted and exacerbated inequities in health for structurally marginalised Canadians. Their location on society's hierarchies constrained their ability to access healthcare and follow recommended health behaviours. The aim of this article is to identify, from the perspective of marginalised populations, factors influencing the acceptance or rejection of COVID-19 countermeasures by structurally marginalised Canadians. Interviews were conducted with Canadians 18 + who identified as Black (n = 8), First Nations, Métis, or Inuit (n = 7) and low-income (<40,000 annual household income) (n = 8) between August and December 2021. Measures were said to impact well-being and interfere with revenue generating activities. Longstanding unfavourable living and environmental conditions as they relate to structural marginalisation was said to fuel anger toward the government and lead to a greater reluctance to accept countermeasures. Participants described concerns about government decisions being made without considering their unique contexts, or knowledge of the experiences of the population for whom these decisions were being made. Effective proactive action from government is important to foster trust with marginalised populations to support acceptance of health information and address growing inequities. Action that demonstrates government competence and commitment to the interests of marginalised populations is critical. [ABSTRACT FROM AUTHOR]

Background: Evidence suggests that there is a link between inequitable access to healthcare and inequitable distribution of illness. A recent World Health Organization report stated that there is a need for research and policy to address the critical role of health services in reducing inequities and preventing future inequities. The aim of this manuscript is to highlight disparities and differences in terms of the factors that distinguish between poor and good access to healthcare across six Asia-Pacific countries: Australia, Hong Kong, Japan, South Korea, Taiwan, and Thailand. Methods: A population survey was undertaken in each country. This paper is a secondary analysis of these existing data. Data were collected in each country between 2009 and 2010. Four variables related to difficulties in access to healthcare (distance, appointment, waiting time, and cost) were analysed using binomial logistic regression to identify socio- and demographic predictors of inequity. Results: Consistent across the findings, poor health and low income were identified as difficulties in access. Country specific indicators were also identified. For Thailand, the poorest level of access appears to be for respondents who work within the household whereas in Taiwan, part-time work is associated with difficulties in access. Within Hong Kong, results suggest that older (above 60) and retired individuals have the poorest access and within Australia, females and married individuals are the worst off. Conclusion: Recognition of these inequities, from a policy perspective, is essential for health sector policy decision-making. Despite the differences in political and economic climate in the countries under analysis, our findings highlight patterns of inequity which require policy responses. Our data should be used as a means of deciding the most appropriate policy response for each country which includes, rather than excludes, socially marginalised population groups. These findings should be of interest to those involved in health policy, but also in policy more generally because as we have identified, access to health care is influenced by determinants outside of the health system. [ABSTRACT FROM AUTHOR]