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Functional assessments in the UK social security system: the experiences of claimants with mental health conditions

Published online by Cambridge University Press:  13 May 2020

KATIE PYBUS*
Affiliation:
University of York, Department of Health Sciences
KATE. E. PICKETT
Affiliation:
University of York, Department of Health Sciences
CHARLIE LLOYD
Affiliation:
University of York, Department of Social Policy and Social Work
STEPHANIE PRADY
Affiliation:
University of York, Department of Health Sciences
EMERITUS RICHARD WILKINSON
Affiliation:
University of York, Department of Health Sciences
*
*Corresponding author. Katie Pybus, University of York, Department of Health Sciences, Area 2 Seebohm Rowntree Building, Heslington, YO10 5DD, England. (e-mail: katie.pybus@york.ac.uk).
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Abstract

Eligibility for health-related income benefits in the United Kingdom is now determined through the use of functional assessments conducted by healthcare professionals. Claimant satisfaction with both Personal Independence Payment (PIP) and Work Capability Assessments (WCA) has been mixed and concerns have been raised that mental health conditions are not well-understood in this context, but academic research has so far been limited. Individuals with a range of common mental disorders and severe mental illness were interviewed (n=18) about their experiences of undergoing eligibility assessments for health-related income benefits. Data were analysed using a thematic analysis approach.

Eleven out of the 18 participants had been turned down for one or more income benefits and successful claims were more likely where supported by health and care professionals. Eligibility assessments were overwhelmingly perceived as focusing on physical health with limited scope to explore the impact of mental health on functioning. Evidence from this and other studies suggests that improvements are needed to the eligibility assessment process for all claimants but particularly those with a mental health condition.

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Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s) 2020
Figure 0

Table 1. Participant characteristics