Evidence map›Paper›PMID 24905844›Full record

ArticleEpidemiology and psychiatric sciences2015

How much does mental health discrimination cost: valuing experienced discrimination in relation to healthcare care costs and community participation.

S Evans-Lacko, S Clement, E Corker, E Brohan, L Dockery, S Farrelly, S Hamilton, V Pinfold, D Rose, C Henderson and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Discriminative nursing care: A grounded theory study.Journal of family medicine and primary care · 2019
    Article
  9. Observational
  10. Article
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

12 authors at 1 institution in 1 country.

S Evans-LackoHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
S ClementHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
E CorkerHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
E BrohanHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
L DockeryHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
S FarrellyHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
S HamiltonHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
V PinfoldHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
D RoseHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
C HendersonHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
G ThornicroftHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
P McCroneHealth Service and Population Research Department,Institute of Psychiatry,King's College London,De Crespigny Park,London E5 8AF,UK.
King's College London · GB

Funding

Department of Health NF-SI-0611-10053Department of Health RP-PG-0606-1053Medical Research Council G0601660
6 · The paper itself

Abstract

aimsThis study builds on existing research on the prevalence and consequences of mental illness discrimination by investigating and quantifying the relationships between experienced discrimination and costs of healthcare and leisure activities/social participation among secondary mental health service users in England.

methodsWe use data from the Mental Illness-Related Investigations on Discrimination (MIRIAD) study (n = 202) and a subsample of the Viewpoint study (n = 190). We examine experiences of discrimination due to mental illness in the domains of personal relationships, community activities, and health care, and how such experienced discrimination relates to patterns of service use and engagement in leisure activities.

resultsOur findings show that the cost of health services used for individuals who reported previous experiences of discrimination in a healthcare setting was almost twice as high as for those who did not report any discrimination during the last 12 months (Relative Risk: 1.73; 95% Confidence Interval (CI): 1.39, 2.17) and this was maintained after controlling for symptoms and functioning. Experienced discrimination in healthcare (Relative Risk: 0.83; 95% CI: 0.81, 0.84) or in relationships (Relative Risk: 0.89; 95% CI: 0.87, 0.91), however, was associated with lower participation in, and hence lower costs of, leisure activities. Individuals who reported any discrimination in a healthcare setting had, on average, £434 higher costs associated with health service use while reported discrimination in the community was associated with increased leisure costs of £32.

conclusionsThese findings make an important initial step towards understanding the magnitude of the costs of mental health-related discrimination.

Indexed as

Health economicsmental health servicesmental illnessstigma

Identifiers

PMID24905844
PMCPMC8367353
OpenAlexW2158198601

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.