Evidence map›Paper›PMID 42152002›Full record

ArticleBMC health services research2026

Predictors of the use of community mental health services.

Lachlan Cameron, Matt Sutton, Rachel Meacock

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lachlan CameronHealth Organisation, Policy and Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, University of Manchester, Manchester, UK. lachy.cameron@manchester.ac.uk.
Matt SuttonHealth Organisation, Policy and Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, University of Manchester, Manchester, UK.
Rachel MeacockHealth Organisation, Policy and Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare systems worldwide are struggling to keep up with the demand created by rising rates of mental health problems. There is a push to increase provision of mental health services in community settings to reduce the strain on hospitals and primary care. However, there is currently very limited evidence on predictors of community mental health service use. This limits our ability to direct resources to people and areas with greater needs, and to identify inequalities in access to services.

methodsWe obtained data on use of community mental health services for 22,277 adult respondents in England from three nationally representative survey data sets. We used logistic regression to relate service use to 14 individual and three area characteristics, and explored whether predictors of service use have changed over time. We then discuss whether the findings suggest variations in access or needs.

resultsIn addition to poor mental and physical health, we find that being younger, single, and not employed are associated with higher likelihood of community mental health service use. These findings likely indicate greater need for services. We also find that living in a rural area, the North West region, or being of Asian ethnicity are predictors of lower use. We contend that these results highlight potential inequalities in access. Despite rising rates of service use, these patterns of predictors are consistent over time.

conclusionsThese findings can help inform where additional resources for community mental health services are best directed to reduce the strain on services, and improve access and outcomes. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Community Mental Health ServicesAdolescentAdultEnglandFemaleHealthcare DisparitiesHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedSocioeconomic FactorsYoung AdultCommunity careHealth servicesInequalitiesMental health

Identifiers

PMID42152002
PMCPMC13361882

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Registered trials

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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.