Evidence map›Paper›PMID 35844106›Full record

ArticleEpidemiology and psychiatric sciences2022

Ethnic inequities in multimorbidity among people with psychosis: a retrospective cohort study.

D Fonseca de Freitas, M Pritchard, H Shetty, M Khondoker, J Nazroo, R D Hayes, K Bhui

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  4. Observational
  5. Article
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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

7 authors at 5 institutions in 1 country.

D Fonseca de FreitasDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-8876-4595
M PritchardDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0001-8872-3614
H ShettyBiomedical Research Centre Nucleus, South London and Maudsley NHS Foundation Trust, London, UK.
M KhondokerNorwich Medical School, University of East Anglia, Norwich, UK.ORCID https://orcid.org/0000-0002-1801-1635
J NazrooSociology, School of Social Sciences, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0001-6744-2207
R D HayesDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0003-4453-244X
K BhuiDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9205-2144
King's College London · GBSouth London and Maudsley NHS Foundation Trust · GBUniversity of East Anglia · GBUniversity of Manchester · GBUniversity of Oxford · GB

Funding

King's College LondonNational Institute for Health Research
6 · The paper itself

Abstract

aimsResearch shows persistent ethnic inequities in mental health experiences and outcomes, with a higher incidence of illnesses among minoritised ethnic groups. People with psychosis have an increased risk of multiple long-term conditions (MLTC; multimorbidity). However, there is limited research regarding ethnic inequities in multimorbidity in people with psychosis. This study investigates ethnic inequities in physical health multimorbidity in a cohort of people with psychosis.

methodsIn this retrospective cohort study, using the Clinical Records Interactive Search (CRIS) system, we identified service-users of the South London and Maudsley NHS Trust with a schizophrenia spectrum disorder, and then additional diagnoses of diabetes, hypertension, low blood pressure, overweight or obesity and rheumatoid arthritis. Logistic and multinomial logistic regressions were used to investigate ethnic inequities in odds of multimorbidity (psychosis plus one physical health condition), and multimorbidity severity (having one or two physical health conditions, or three or more conditions), compared with no additional health conditions (no multimorbidity), respectively. The regression models adjusted for age and duration of care and investigated the influence of gender and area-level deprivation.

resultsOn a sample of 20 800 service-users with psychosis, aged 13-65, ethnic differences were observed in the odds for multimorbidity. Controlling for sociodemographic factors and duration of care, compared to White British people, higher odds of multimorbidity were found for people of Black African [adjusted Odds Ratio = 1.41, 95% Confidence Intervals (1.23-1.56)], Black Caribbean [aOR = 1.79, 95% CI (1.58-2.03)] and Black British [aOR = 1.64, 95% CI (1.49-1.81)] ethnicity. Reduced odds were observed among people of Chinese [aOR = 0.61, 95% CI (0.43-0.88)] and Other ethnic [aOR = 0.67, 95% CI (0.59-0.76)] backgrounds. Increased odds of severe multimorbidity (three or more physical health conditions) were also observed for people of any Black background.

conclusionsEthnic inequities are observed for multimorbidity among people with psychosis. Further research is needed to understand the aetiology and impact of these inequities. These findings support the provision of integrated health care interventions and public health preventive policies and actions.

Indexed as

EthnicityPsychotic DisordersCohort StudiesHumansMultimorbidityRetrospective Studiescomorbidityethnic disparitiesethnic inequalitiesethnicitymultimorbidityschizophrenia

Identifiers

PMID35844106
PMCPMC9305726
OpenAlexW4285800585

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.