Evidence map›Paper›PMID 36997889›Full record

ArticleBMC public health2023

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.

Heather Brown, Huasheng Xiang, Mandy Cheetham, Steph Morris, Marcia Gibson, Srinivasa Vittal Katikireddi, Luke Aaron Munford, David Taylor-Robinson, Hannah Finney, Victoria Bartle and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Heather BrownDivision of Health Research, Lancaster University, Lancaster, UK. h.w.brown@lancaster.ac.uk.
Huasheng XiangPopulation Health Sciences Institute, Newcastle University, Newcastle, UK.
Mandy CheethamNursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK.
Steph MorrisPopulation Health Sciences Institute, Newcastle University, Newcastle, UK.
Marcia GibsonMRC/CO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Srinivasa Vittal KatikireddiMRC/CO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Luke Aaron MunfordHealth Organisation, Policy and Economics, School of Health Sciences, University of Manchester, Manchester, UK.
David Taylor-RobinsonDepartment of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, Merseyside, UK.
Hannah FinneyCitizens Advice Newcastle, Newcastle Upon Tyne, UK.
Victoria BartleCentre for Translational Research in Public Health, Newcastle upon Tyne, UK.
Andrew J BaxterMRC/CO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Sophie WickhamDepartment of Public Health, Policy and Systems, Institute of Population Health, University of Liverpool, Liverpool, Merseyside, UK.
Peter CraigMRC/CO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Clare BambraPopulation Health Sciences Institute, Newcastle University, Newcastle, UK.

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_UU_00022/2Medical Research Council MR/P008577/1Medical Research Council MR/S037578/1Medical Research Council MR/S037578/2Wellcome Trust
6 · The paper itself

Abstract

backgroundThe 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.

methodsCo-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.

resultsWhen 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.

conclusionAs 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.

Indexed as

Mental HealthCross-Sectional StudiesEnglandHumansWalesCitizens adviceLimiting Long Term ConditionsMental healthSociodemographic characteristicsUKUniversal Credit

Identifiers

PMID36997889
PMCPMC10060933

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.