Long term mortality trends in people with severe mental illnesses and how COVID-19, ethnicity and other chronic mental health comorbidities contributed: a retrospective cohort study.

Background: People with schizophrenia-spectrum and bipolar disorders (severe mental illnesses; 'SMI') experience excess mortality. Our aim was to explore longer-term trends in mortality, including the COVID-19 pandemic period, with a focus on additional vulnerabilities (psychiatric comorbidities and race/ ethnicity) in SMI.

Methods: Retrospective cohort study using electronic health records from secondary mental healthcare, covering a UK region of 1.

Living less safely through the pandemic in England for people with serious mental and physical health conditions: qualitative interviews with service users and carers of Black African, Caribbean, and South-Asian descent.

Background: COVID-19 Ethnic Inequalities in Mental health and Multimorbidities (COVEIMM) is a mixed methods study to explore whether COVID-19 exacerbated ethnic health inequalities in adults with serious mental and physical health conditions. We analysed data from electronic health records for England and conducted interviews in Birmingham and Solihull, Manchester, and South London. Sites were selected because they were pilot sites for the Patient and Carer Race Equality Framework being introduced by NHS England to tackle race inequalities in mental health.

Psychosocial factors affecting COVID-19 vaccine uptake in the UK: A prospective cohort study (CoVAccS - Wave 3).

Background: We investigated factors associated with COVID-19 vaccine uptake, future vaccination intentions, and changes in beliefs and attitudes over time.

Methods: Prospective cohort study. 1500 participants completed an online survey in January 2021 (T1, start of vaccine rollout in the UK), of whom 1148 (response rate 76.

Parents' intention to vaccinate their child for COVID-19: A mixed-methods study (CoVAccS-wave 3).

Aim: To investigate UK parents' vaccination intention at a time when COVID-19 vaccination was available to some children.

Methods: Data reported are from the second wave of a prospective cohort study. We conducted a mixed-methods study using an online survey of 270 UK parents (conducted 4-15 October 2021).

Psychological factors associated with reporting side effects following COVID-19 vaccination: A prospective cohort study (CoVAccS - Wave 3).

Objective: To investigate symptom reporting following the first and second COVID-19 vaccine doses, attribution of symptoms to the vaccine, and factors associated with symptom reporting.

Methods: Prospective cohort study (T1: 13-15 January 2021, T2: 4-15 October 2021). Participants were aged 18 years or older, living in the UK.

Side-effect expectations from COVID-19 vaccination: Findings from a nationally representative cross-sectional survey (CoVAccS - wave 2).

Objectives: Concern about side effects is one of the most common reasons for refusing vaccination. Side-effect expectations are known to predict perception of side effects. We aimed to investigate the percentage of people who thought side effects from COVID-19 vaccination were likely and investigate factors associated with side-effect expectation.

Intention to have the seasonal influenza vaccination during the COVID-19 pandemic among eligible adults in the UK: a cross-sectional survey.

Objective: To investigate the likelihood of having the seasonal influenza vaccination during the COVID-19 pandemic in individuals who were eligible to receive it.

Design: We conducted a cross-sectional online survey in July 2020. We included predictors informed by previous research, in the following categories: sociodemographic variables; uptake of influenza vaccine last winter and beliefs about vaccination.

COVID-19 vaccination intention in the UK: results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey.

To investigate factors associated with intention to be vaccinated against COVID-19 we conducted a cross-sectional survey of 1,500 UK adults, recruited from an existing online research panel. Data were collected between 14th and 17th July 2020. We used linear regression analyses to investigate associations between intention to be vaccinated for COVID-19 "when a vaccine becomes available to you" and sociodemographic factors, previous influenza vaccination, general vaccine attitudes and beliefs, attitudes and beliefs about COVID-19, and attitudes and beliefs about a COVID-19 vaccination.