Patterns of disability benefit receipt and variations by psychiatric diagnosis: findings from a novel data linkage study

AimsPersonal Independence Payment (PIP) was introduced as the new disability benefit in the UK among major benefit reforms in 2013. It is unknown how PIP has been allocated in populations with mental health conditions. We aim to explore how average duration and number of PIP spells differs by psychiatric diagnosis. MethodsWe used a linked dataset established by combining electronic secondary mental health records from South London and Department for Work and Pensions (DWP) administrative benefits data. Number of PIP spells, average number of days per PIP-benefit spell, and total number of days patients received PIP-benefit across all spells will be calculated for each individual. Multivariable linear and poisson regression models will be used to test associations between psychiatric diagnosis and PIP duration variables. Results34,900 linked patients who accessed secondary mental healthcare services received PIP in the coverage window. 17,062 of these received PIP with no prior history of disability benefit receipt and were included in our analysis. 98% of patients received one continuous spell of PIP. Those with a diagnosis of intellectual disability and severe mood disorders received PIP for longer lengths of time. Patients with a diagnosis of drug or alcohol use disorders received PIP for a fewer number of days in the observation period. ConclusionsPIP is awarded for a limited period of time, with most PIP awards granted for two years or less. Our findings could be used to inform frequency of reviews for disability benefit for certain psychiatric conditions to reduce individual burden and cost to the state.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3278
Primary Topic
Health disparities and outcomes
Type
article
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article

Patterns of disability benefit receipt and variations by psychiatric diagnosis: findings from a novel data linkage study

Matthew Hotopf, Sharon A. M. Stevelink, Nicola T. Fear, Sarah Ledden
International Journal for Population Data Science
Health disparities and outcomes
article

Patterns of disability benefit receipt and variations by psychiatric diagnosis: findings from a novel data linkage study

Matthew Hotopf, Sharon A. M. Stevelink, Nicola T. Fear, Sarah Ledden
article en

Abstract

AimsPersonal Independence Payment (PIP) was introduced as the new disability benefit in the UK among major benefit reforms in 2013. It is unknown how PIP has been allocated in populations with mental health conditions. We aim to explore how average duration and number of PIP spells differs by psychiatric diagnosis. MethodsWe used a linked dataset established by combining electronic secondary mental health records from South London and Department for Work and Pensions (DWP) administrative benefits data. Number of PIP spells, average number of days per PIP-benefit spell, and total number of days patients received PIP-benefit across all spells will be calculated for each individual. Multivariable linear and poisson regression models will be used to test associations between psychiatric diagnosis and PIP duration variables. Results34,900 linked patients who accessed secondary mental healthcare services received PIP in the coverage window. 17,062 of these received PIP with no prior history of disability benefit receipt and were included in our analysis. 98% of patients received one continuous spell of PIP. Those with a diagnosis of intellectual disability and severe mood disorders received PIP for longer lengths of time. Patients with a diagnosis of drug or alcohol use disorders received PIP for a fewer number of days in the observation period. ConclusionsPIP is awarded for a limited period of time, with most PIP awards granted for two years or less. Our findings could be used to inform frequency of reviews for disability benefit for certain psychiatric conditions to reduce individual burden and cost to the state.

International Journal for Population Data ScienceVol. 10(4)
King's College London (GB), South London and Maudsley NHS Foundation Trust (GB)
Openalex Percentile: Top 72%
Health disparities and outcomes
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Patterns of disability benefit receipt and variations by psychiatric diagnosis: findings from a novel data linkage study — Matthew Hotopf, Sharon A. M. Stevelink, et al. · International Journal for Population Data Science (2025) | TGRS Research Map | TGRS