ArticleSocial psychiatry and psychiatric epidemiology2026
Universal credit trajectories among individuals who access secondary mental health services: analysis of linked data.
Article in Social psychiatry and psychiatric epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeTo examine Universal Credit (UC) trajectories, and transitions between UC conditionality regimes among secondary care mental health service users. Sociodemographic and diagnostic characteristics associated with UC trajectories were explored.
methodsMental health record data from 4876 individuals who attended mental health services were linked with administrative benefits data. An entry cohort was created including mental health service users who had received UC in 2016 and followed up for 4.5 years. Sequence analysis was used, followed by cluster analysis to identify typical UC trajectories. Sociodemographic and diagnostic characteristics associated with UC clusters were explored using multinominal logistic regression; results were presented as average marginal effects.
resultsSix distinct UC clusters were identified. These clusters indicated: short-term UC searching for work (18.7%), medium-term UC searching for work (19.1%), long-term UC searching for work (21.4%), no work requirements (11.9%), UC working cluster (6.1%), and no work searching and caring responsibilities cluster (22.8%). Women were overrepresented in the medium-term UC searching for work cluster whereas older people were more likely to be in the long-term UC searching for work and no work requirements clusters. Those diagnosed with severe mental illness were overrepresented in the no work requirements group.
conclusionMost trajectories were dominated by those required to search for work albeit for different time periods before exiting UC. One in ten people were assessed as unable to work for an extended period. Findings can be used to inform support for people with mental health problems vulnerable to conditionality or longer-term UC receipt.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.