Loading…

Loading grant details…

Active STUDENTSHIP UKRI Gateway to Research

Social inequalities in the receipt of welfare benefits and the impact of mental and neurological disorders: a big data project.


Funder Economic and Social Research Council
Recipient Organization King's College London
Country United Kingdom
Start Date Sep 30, 2024
End Date Mar 30, 2029
Duration 1,642 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2929912
Grant Description

"Background Mental health problems are one of the main reasons for people to fall out of work and claim unemployment or disability benefits.

As such it is important that future research explores patterns and trends over time at a population level, particularly directed at more vulnerable groups of our society, for example, those accessing mental health services and racial and ethnic minority groups.

However, to date there has been little interchange of individual level health and benefits data, hampering the establishment of a much needed, robust quantitative evidence base. Using two novel linked data sources, this PhD will address this evidence gap.

Aims The proposed PhD will address four aims: 1) To explore patterns of unemployment, sickness and/or disability benefit receipt by ethnicity, marital status, country of birth, neighbourhood deprivation and smaller geographical areas among mental health care users between 2007-2019 and by Borough. 2) To determine the annual age and sex standardized rates of unemployment, sickness or disability benefit receipt among working-age adults in England and Wales in 2011 and explore how these standardized rates vary across population groups (e.g., ethnicity, disability, marital status, carer status, country of birth, general health, socio-economic status). 3) To determine the annual age and sex standardized rates of unemployment, sickness or disability benefit receipt among secondary mental health care users and how this compares to the working-age adult population in England and Wales. 4) To link data of benefits up take in the relevant Borough, and in smaller geographical areas of strategic interest to the Borough, with use of council/council partner resources, and explore the connections between macro-economic data relating to inequalities and operational work undertaken by the Lambeth Skills and Employment Team as well as other connected teams across the council.

These aims have been jointly developed with the Skills and Employment Team and the Public Health Team at the London Borough of Lambeth (our PhD project partner) and three members with lived experience of navigating the welfare and mental healthcare system.

As such, we are confident the aims address an important knowledge gap, are of interest to those who engage with or work within the welfare and health system maximising the opportunities for impact across different areas of policy and service delivery. Methodology Design: secondary data analysis project that will embed cross-sectional and longitudinal study designs.

Data

📚 Sources & References

two data sources form the foundation of the secondary data that will be used in the PhD. 1) A unique data linkage of electronic mental healthcare records from the South London and Maudsley (SLaM) NHS Foundation Trust with benefits records from the Department for Work and Pensions (DWP), covering over a decade of data. Electronic healthcare record data contains individual level patient data covering sociodemographic, clinical and diagnostic details as well as information on treatments and medications. Benefits data include detailed information on the individual's receipt of a whole range of welfare benefits. Details are available on spell start and end dates, assessments, entitlement amounts etc. 2) A recently released linkage (2022) of benefits and income data from DWP and HRMC with data from the Census 2011. Data includes detailed information on benefits receipt (2011-2016) as well as information on a wide range of sociodemographic, socioeconomic, occupational and self-reported health information. These data sources will be complemented with macro-economic data on a local authority and regional level from the London Borough of Lambeth, the PhD project partner. Study population: 1) Patients who were referred to SLaM between 2007-2019 and whose records were successfully linked with benefits records from the DWP (n=400,000) (linkage rage 92.3%). 2) Individ

All Grantees

King's College London

Advertisement
Apply for grants with GrantFunds
Advertisement
Browse Grants on GrantFunds
Interested in applying for this grant?

Complete our application form to express your interest and we'll guide you through the process.

Apply for This Grant