Ethnic and social inequalities in COVID-19 outcomes in Scotland: protocol for early pandemic evaluation and enhanced surveillance of COVID-19 (EAVE II).
Ethnic and social inequalities in COVID-19 outcomes in Scotland: protocol for early pandemic evaluation and enhanced surveillance of COVID-19 (EAVE II).
复制标题
DOI：
10.1136/bmjopen-2021-048852
复制
发表时间：
2021-08-10
期刊：
影响因子：
2.9
通讯作者：
Katikireddi SV
中科院分区：
文献类型：
--
作者：
Henery P;Vasileiou E;Hainey KJ;Buchanan D;Harrison E;Leyland AH;Alexis T;Robertson C;Agrawal U;Ritchie L;Stock SJ;McCowan C;Docherty A;Kerr S;Marple J;Wood R;Moore E;Simpson CR;Sheikh A;Katikireddi SV
来自以往大流行和当前COVID-19大流行的证据发现，少数民族群体和社会经济地位较低的群体的感染风险/疾病严重程度不成比例地更高。预防COVID-19传播的干预措施必须针对高风险人群。我们将调查社会特征（如种族、职业和社会经济地位）与COVID-19结果之间的关联，以及特征/风险因素在多大程度上可以解释在苏格兰观察到的关系。本研究的主要目的是通过社会因素描述COVID-19的流行病学。次要目标是（1）通过社会因素检查COVID-19治疗和预防的接受情况;（2）量化COVID-19不良结局的种族/社会差异;（3）探索社会因素与SARS-CoV-2感染/COVID-19预后之间关系的潜在介质;（4）检查职业性COVID-19差异是否因其他社会因素而不同;（5）评估国家卫生服务数据集中种族编码的质量。我们将使用一个国家队列，包括完成2011年人口普查并于2020年3月31日居住在苏格兰的苏格兰成年人口（约430万人）。人口普查数据将与疫苗和抗病毒有效性早期评估II队列相关联，该队列由初级/二级保健、实验室数据和死亡记录组成。灵敏度/特异性和阳性/阴性预测值将用于评估种族编码质量。描述性统计将用于检查COVID-19治疗和预防的差异。泊松/考克斯回归分析和调解技术将研究种族和社会差异，以及COVID-19不平等的驱动因素。将评估关键变量（如种族和职业）之间的效应修正（在加法和乘法量表上）。获得了国家研究伦理委员会（South East Scotland 02）的伦理批准。我们将在国际会议、同行评审期刊和政策制定者上展示这项研究的结果。
Evidence from previous pandemics, and the current COVID-19 pandemic, has found that risk of infection/severity of disease is disproportionately higher for ethnic minority groups, and those in lower socioeconomic positions. It is imperative that interventions to prevent the spread of COVID-19 are targeted towards high-risk populations. We will investigate the associations between social characteristics (such as ethnicity, occupation and socioeconomic position) and COVID-19 outcomes and the extent to which characteristics/risk factors might explain observed relationships in Scotland. The primary objective of this study is to describe the epidemiology of COVID-19 by social factors. Secondary objectives are to (1) examine receipt of treatment and prevention of COVID-19 by social factors; (2) quantify ethnic/social differences in adverse COVID-19 outcomes; (3) explore potential mediators of relationships between social factors and SARS-CoV-2 infection/COVID-19 prognosis; (4) examine whether occupational COVID-19 differences differ by other social factors and (5) assess quality of ethnicity coding within National Health Service datasets. We will use a national cohort comprising the adult population of Scotland who completed the 2011 Census and were living in Scotland on 31 March 2020 (~4.3 million people). Census data will be linked to the Early Assessment of Vaccine and Anti-Viral Effectiveness II cohort consisting of primary/secondary care, laboratory data and death records. Sensitivity/specificity and positive/negative predictive values will be used to assess coding quality of ethnicity. Descriptive statistics will be used to examine differences in treatment and prevention of COVID-19. Poisson/Cox regression analyses and mediation techniques will examine ethnic and social differences, and drivers of inequalities in COVID-19. Effect modification (on additive and multiplicative scales) between key variables (such as ethnicity and occupation) will be assessed. Ethical approval was obtained from the National Research Ethics Committee, South East Scotland 02. We will present findings of this study at international conferences, in peer-reviewed journals and to policy-makers.
登录
查看更多内容
影响因子：
15.8
作者：
McKeigue PM;Weir A;Bishop J;McGurnaghan SJ;Kennedy S;McAllister D;Robertson C;Wood R;Lone N;Murray J;Caparrotta TM;Smith-Palmer A;Goldberg D;McMenamin J;Ramsay C;Hutchinson S;Colhoun HM;Public Health Scotland COVID-19 Health Protection Study Group
通讯作者：
Public Health Scotland COVID-19 Health Protection Study Group
影响因子：
5.4
作者：
Jackson, John W.;VanderWeele, Tyler J.
通讯作者：
VanderWeele, Tyler J.
影响因子：
12.7
作者：
Lowcock, Elizabeth C;Rosella, Laura C;Crowcroft, Natasha
通讯作者：
Crowcroft, Natasha
影响因子：
6.3
作者：
Katikireddi SV;Lal S;Carrol ED;Niedzwiedz CL;Khunti K;Dundas R;Diderichsen F;Barr B
通讯作者：
Barr B
影响因子：
105.7
作者：
Docherty, Annemarie B.;Harrison, Ewen M.;Semple, Malcolm G.
通讯作者：
Semple, Malcolm G.