Exploring the health and sociodemographic characteristics of people seeking advice with claiming universal credit: a cross-sectional analysis of UK citizens advice data, 2017-2021.

BACKGROUND: The UK Department for Work and Pensions (DWP) administers Universal Credit (UC) - the main UK benefit for people in- and out-of-work. UC is being rolled out nationally from 2013 to 2024. Citizens Advice (CA) is an independent charity that provides advice and support to people making a claim for UC. The aim of this study is to understand who is seeking advice from CA when making a UC claim and how the types of people seeking advice are changing as the rollout of UC continues. METHODS: Co-developed with Citizens Advice Newcastle and Citizens Advice Northumberland we performed longitudinal analysis of national data from Citizens Advice for England and Wales on the health (mental health and limiting long term conditions) and socio-demographic of 1,003,411 observations for people seeking advice with claiming UC over four financial years (2017/18 to 2020/21). We summarised population characteristics and estimated the differences between the four financial years using population-weighted t-tests. Findings were discussed with three people with lived experience of seeking advice to claim UC to help frame our interpretation and policy recommendations. RESULTS: When comparing 2017/18 to 2018/19, there was a significantly higher proportion of people with limiting long term conditions seeking advice with claiming UC than those without (+ 2.40%, 95%CI: 1.31-3.50%). However, as the rollout continued between 2018/29 and 2019/20 (-6.75%, 95%CI: -9.62%--3.88%) and between 2019/20 and 2020/21 (-2.09%, 95%CI: -2.54%--1.64%), there were significantly higher proportions of those without a limiting long term condition seeking advice than with. When comparing 2018/19 to 2019/20 and 2019/20 to 2020/21, there was a significant increase in the proportion of self-employed compared to unemployed people seeking advice with claiming UC (5.64%, 95%CI: 3.79-7.49%) and (2.26%, 95%CI: 1.29-3.23%) respectively. CONCLUSION: As the rollout for UC continues, it is important to understand how changes in eligibility for UC may impact on those who need help with applying for UC. Ensuring that the advice process and application process is responsive to a range of people with different needs can help to reduce the likelihood that the process of claiming UC will exacerbate health inequalities.

Associations between inflexible job conditions, health and healthcare utilisation in England: retrospective cross-sectional study.

OBJECTIVES: To estimate the strength of association between having an inflexible job and health-related quality of life and healthcare utilisation; and to explore heterogeneity in the effects by gender, age and area-level deprivation. DESIGN: Retrospective cross-sectional study. SETTING: Seven waves of the English General Practice Patient Survey between 2012 and 2017. PARTICIPANTS: 1 232 884 people aged 16-64 years and in full-time employment. We measured job inflexibility by inability to take time away from work during usual working hours to seek medical care. PRIMARY AND SECONDARY OUTCOME MEASURES: Health-related quality of life (EQ-5D-5L); number of months since the respondent last saw a general practitioner (GP) or nurse; use of out-of-hours general practice in the past 6 months. We used regression analyses to estimate the strength of association between outcomes and having an inflexible job, adjusting for person and area-level characteristics. RESULTS: One-third of respondents reported job inflexibility. The probability of job inflexibility was higher at younger ages and in more deprived areas. Job inflexibility was associated with lower EQ-5D-5L utility scores of 0.017 (95% CI 0.016 to 0.018) for women and 0.016 (95% CI 0.015 to 0.017) for men. Women were more affected than men in the mental health domain. The reduction in health-related quality of life associated with having an inflexible job was greater for employees who were older or lived in more deprived areas. Having an inflexible job was associated with a longer time since the last visit to their GP of 0.234 (95% CI 0.201 to 0.268) months for women and 0.199 (95% CI 0.152 to 0.183) months for men. CONCLUSIONS: Inequalities in the prevalence of inflexible jobs contribute to inequalities in health. One mechanism may be through reduced access to healthcare. Policymakers and employers should ensure that all employees have sufficient job flexibility to protect their health.

Evaluation of the mental health impacts of Universal Credit: protocol for a mixed methods study.

INTRODUCTION: The UK social security system is being transformed by the implementation of Universal Credit (UC), which combines six existing benefits and tax credits into a single payment for low-income households. Despite extensive reports of hardship associated with the introduction of UC, no previous studies have comprehensively evaluated its impact on mental health. Because payments are targeted at low-income households, impacts on mental health will have important consequences for health inequalities. METHODS AND ANALYSIS: We will conduct a mixed methods study. Work package (WP) 1 will compare health outcomes for new recipients of UC with outcomes for legacy benefit recipients in two large population surveys, using the phased rollout of UC as a natural experiment. We will also analyse the relationship between the proportion of UC claimants in small areas and a composite measure of mental health. WP2 will use data collected by Citizen's Advice to explore the sociodemographic and health characteristics of people who seek advice when claiming UC and identify features of the claim process that prompt advice-seeking. WP3 will conduct longitudinal in-depth interviews with up to 80 UC claimants in England and Scotland to explore reasons for claiming and experiences of the claim process. Up to 30 staff supporting claimants will also be interviewed. WP4 will use a dynamic microsimulation model to simulate the long-term health impacts of different implementation scenarios. WP5 will undertake cost-consequence analysis of the potential costs and outcomes of introducing UC and cost-benefit analyses of mitigating actions. ETHICS AND DISSEMINATION: We obtained ethical approval for the primary data gathering from the University of Glasgow, College of Social Sciences Research Ethics Committee, application number 400200244. We will use our networks to actively disseminate findings to UC claimants, the public, practitioners and policy-makers, using a range of methods and formats. TRIAL REGISTRATION NUMBER: The study is registered with the Research Registry: researchregistry6697.

The Effects of Traffic Air Pollution in and around Schools on Executive Function and Academic Performance in Children: A Rapid Review.

This review summarises the extant literature investigating the relation between traffic-related air pollution levels in and around schools and executive functioning in primary-school-aged children. An electronic search was conducted using Web of Science, Scopus, and Education Literature Datasets databases (February 2020). Review articles were also searched, and forwards and backwards searches of identified studies were performed. Included papers were assessed for quality. We included 9 separate studies (published in 13 papers). Findings suggest that indoor and outdoor particulate matter with a diameter of 2.5 µm or less (PM2.5) negatively influences executive function and academic achievement and that indoor and outdoor nitrogen dioxide (NO2) adversely affects working memory. Evidence for the effects of particulate matter with a diameter of 10 µm or less (PM10) is limited but suggests potential wide-ranging negative effects on attention, reasoning, and academic test scores. Air pollution in and around schools influences executive function and appears to impede the developmental trajectory of working memory. Further research is required to establish the extent of these effects, reproducibility, consequences for future attainment, and place within the wider context of cognitive development.

Effects of participating in community assets on quality of life and costs of care: longitudinal cohort study of older people in England.

OBJECTIVES: Improving outcomes for older people with long-term conditions and multimorbidity is a priority. Current policy commits to substantial expansion of social prescribing to community assets, such as charity, voluntary or community groups. We use longitudinal data to add to the limited evidence on whether this is associated with better quality of life or lower costs of care. DESIGN: Prospective 18-month cohort survey of self-reported participation in community assets and quality of life linked to administrative care records. Effects of starting and stopping participation estimated using double-robust estimation. SETTING: Participation in community asset facilities. Costs of primary and secondary care. PARTICIPANTS: 4377 older people with long-term conditions. INTERVENTION: Participation in community assets. PRIMARY AND SECONDARY OUTCOME MEASURES: Quality-adjusted life years (QALYs), healthcare costs and social value estimated using net benefits. RESULTS: Starting to participate in community assets was associated with a 0.017 (95% CI 0.002 to 0.032) gain in QALYs after 6 months, 0.030 (95% CI 0.005 to 0.054) after 12 months and 0.056 (95% CI 0.017 to 0.094) after 18 months. Cumulative effects on care costs were negative in each time period: £-96 (95% CI £-512 to £321) at 6 months; £-283 (95% CI £-926 to £359) at 12 months; and £-453 (95% CI £-1366 to £461) at 18 months. The net benefit of starting to participate was £1956 (95% CI £209 to £3703) per participant at 18 months. Stopping participation was associated with larger negative impacts of -0.102 (95% CI -0.173 to -0.031) QALYs and £1335.33 (95% CI £112.85 to £2557.81) higher costs after 18 months. CONCLUSIONS: Participation in community assets by older people with long-term conditions is associated with improved quality of life and reduced costs of care. Sustaining that participation is important because there are considerable health changes associated with stopping. The results support the inclusion of community assets as part of an integrated care model for older patients.