Ethnic inequalities in health: The interplay of racism and COVID-19 in syndemics.
Ethnic inequalities in health: The interplay of racism and COVID-19 in syndemics.
复制标题
DOI:
10.1016/j.eclinm.2021.100953
复制
发表时间:
2021-06
影响因子:
15.1
通讯作者:
Bhui K
中科院分区:
文献类型:
--
作者:
Bhui K
The COVID-19 pandemic has exposed and escalated structural inequalities in our society, especially among marginalised, minoritized, and racialised groups. There are clear differences in risk of infection and mortality by age, gender, ethnicity, and comorbidities, as well as by work place position, clustered deprivation, and geography [1, 2]. Reform is needed in public services, public health actions, and policy development to address the social determinants of illness, structural racism, and vulnerabilities that lead to health inequalities. Racism includes societal structural disadvantage where there is no intention to discriminate, but persistent and consistent disparities emerge and when institutional practices drive disparities in employment, recruitment, education, expressed through bullying and harassment, perceptions of job performance and rewards, poor work-life balance, and experiences of harmful interpersonal interactions. Minor adversities, microaggressions, thwarted aspirations, negative evaluations, repeated rejections for jobs or career advancement, nuanced diminishing comments in work, education and public service interactions each lead to poor life chances, and unfavourable housing, criminalisation, unemployment and educational exclusion as mutually reinforcing disparities [3]. We need evidenced theory, action frameworks, and leadership to counter future crises and build back better. Health care and clinical medicine often operates as if free of context, yet patients presenting with multiple forms of adversity are unlikely to benefit or recover from illness if the structural aetiological and perpetuating influences persist. The failure to address social determinants of poor health deepens the vulnerability to infectious disease and pandemics, thus tackling social inequalities should be a priority for policy and practice [4]. Given the complexity, it is useful to have ways of understanding how multiple influences come together to drive inequalities and cause illness. For example, an intersectional approach has been applied recently to COVID-19 contexts [5]. Krieger’s eco-social approach considers spatial, temporal, political and historical influences, incorporating and extending the bio-psycho-social perspective. Together these recognise the wider determinants of embodied adversity: how social adversity and disadvantage literally influence biological process leading to disease [6]. COVID-19 demonstrates how our social environment and ecology are always in dialogue with psychological and biological processes; there are interactions (across all) to move us towards health or illness, function or disability. Thus action is required at the ecological and social as well as at the psychological and biological levels if prevention and community resilience and recovery are to be promoted. Clinical interventions in medicine tend to take a predominantly biomedical focus. We need to recognise the links between ecological, social and psychological antecedents and ensure clinical practice and physician skills attend to systemic drivers in personalised patient care and public health.Syndemic theory was pioneered from hearing the stories of people in the USA with HIV, substance misuse, and living with violence; the approach has since evolved to incorporate people living with diabetes and depression [7]. The approach calls for integrated care systems and policy that accommodate the complexity and dynamic nature of the drivers of inequality. As an example, psychosis can be seen to be caused by genes, or driven by trauma including childhood experiences of adversity, socio-economic status, experiences of violence, criminalisation, behavioural risk factors including …
登录
查看更多内容
影响因子:
168.9
作者:
Singer, Merrill;Bulled, Nicola;Mendenhall, Emily
通讯作者:
Mendenhall, Emily
影响因子:
5.4
作者:
Bhui K;Dein S;Pope C
通讯作者:
Pope C
影响因子:
2.8
作者:
Zuev, Dennis;Hannam, Kevin
通讯作者:
Hannam, Kevin
影响因子:
12.7
作者:
Krieger, Nancy
通讯作者:
Krieger, Nancy
影响因子:
2.9
作者:
Nazroo, James Y.;Bhui, Kamaldeep S.;Rhodes, James
通讯作者:
Rhodes, James