Discrimination, disadvantage and disempowerment during COVID-19: a qualitative intrasectional analysis of the lived experiences of an ethnically diverse healthcare workforce in the United Kingdom.

BACKGROUND: Healthcare workers (HCWs) in the United Kingdom (UK) have faced many challenges during the COVID-19 pandemic, some of these arising out of their social positions. Existing literature explicating these challenges (e.g., lack of appropriate PPE, redeployment, understaffing) have highlighted inequities in how these have been experienced by HCWs based on ethnicity, gender or, job role. In this paper, we move a step ahead and examine how the intersection of these social positions have impacted HCWs' experiences of challenges during the pandemic. METHODS: We collected qualitative data, using interviews and focus groups, from 164 HCWs from different ethnicities, gender, job roles, migration statuses, and regions in the United Kingdom (UK) between December 2020 and July 2021. Interviews and focus groups were conducted online or by telephone, and recorded with participants' permission. Recordings were transcribed and a hybrid thematic analytical approach integrating inductive data-driven codes with deductive ones informed by an intersectional framework was adopted to analyse the transcripts. RESULTS: Thematic analysis of transcripts identified disempowerment, disadvantage and, discrimination as the three main themes around which HCWs' experiences of challenges were centred, based on their intersecting identities (e.g., ethnicity gender, and/or migration status). Our analysis also acknowledges that disadvantages faced by HCWs were linked to systemic and structural factors at the micro, meso and macro ecosystemic levels. This merging of analysis which is grounded in intersectionality and considers the ecosystemic levels has been termed as 'intrasectionalism'. DISCUSSION: Our research demonstrates how an intrasectional lens can help better understand how different forms of mutually reinforcing inequities exist at all levels within the healthcare workforce and how these impact HCWs from certain backgrounds who face greater disadvantage, discrimination and disempowerment, particularly during times of crisis like the COVID-19 pandemic.

Redeployment experiences of healthcare workers in the UK during COVID-19: a cross-sectional analysis from the nationwide UK-REACH study.

Objectives: To assess how ethnicity, migration status and occupation are associated with healthcare workers (HCW) redeployment experiences during COVID-19 in a nationwide ethnically diverse sample. Design: A cross-sectional analysis using data from the nationwide United Kingdom Research Study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH) cohort study. Setting: Healthcare settings. Participants: Healthcare workers (HCW). Main Outcome Measures: Outcome measures included redeployment, provision of training and supervision during redeployment, change in patient contact and interaction with COVID-19 patients. Methods: We used logistic regression to examine associations of ethnicity, migration status, and occupation with redeployment experiences of HCWs. Results: Of the 10,889 HCWs included, 20.4% reported being redeployed during the first UK national lockdown in March 2020. Those in nursing roles (Odds Ratio (OR) 1.22, 95% Confidence Interval (CI) 1.04-1.42, p = 0.009) (compared to medical roles) had higher likelihood of being redeployed as did migrants compared to those born in the UK (OR 1.26, 95% CI 1.06-1.49, p = 0.01) (in a subcohort of HCWs on the agenda for change (AfC) pay scales). Asian HCWs were less likely to report receiving training (OR 0.66, 95% CI 0.50-0.88, p = 0.005) and Black HCWs (OR 2.02, 95% CI 1.14-3.57, p = 0.02) were more likely to report receiving supervision, compared to White colleagues. Finally, redeployed Black (OR 1.33, 95% CI 1.07-1.66, p = 0.009) and Asian HCWs (OR 1.30, 95% CI 1.14-1.48, p < 0.001) were more likely to report face-to-face interaction with COVID-19 patients than White HCWs. Conclusions: Our findings highlight disparities in HCWs' redeployment experiences by ethnicity, migration, and job role which are potentially related to structural inequalities in healthcare.