Evidence map›Paper›PMID 42627564›Full record

ArticleAdministration and policy in mental health2026

Health Care Service Use Outcomes of a Community Mental Health Program for Frequent Emergency Department Users.

Jonathan Samosh, Ayda Agha, Donna Pettey, Tim Aubry

Abstract read
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In one paragraph

Article in Administration and policy in mental health, 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
–field-weighted citation impact
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

4 authors.

Jonathan SamoshUniversity of Ottawa, Ottawa, Canada. j.samosh@uottawa.ca.
Ayda AghaUniversity of Ottawa, Ottawa, Canada.
Donna PetteyCanadian Mental Health Association, Ottawa, Canada.
Tim AubryUniversity of Ottawa, Ottawa, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supporting frequent emergency department users' psychosocial needs while reducing strain on hospital resources is a growing area of mental health policy concern. This study thus aimed to investigate health care service use outcomes of a novel community mental health program for frequent emergency department users presenting with mental illness or addiction. The program offered stepped-care system navigation and intensive case management supports. A quasi-experimental, pre-test/post-test, nonequivalent groups design evaluated the interaction effects of group (stepped-care intervention and three treatment as usual comparisons) and time (baseline and two follow-up years) on health care service use (emergency department visits, hospital admissions, days in hospital, general practice outpatient visits, and psychiatric outpatient visits). Retrospective longitudinal participant data were obtained from population-level public health care records and analyzed using generalized estimating equations methods. Results replicated past research findings demonstrating that a targeted intervention did not reduce emergency department visits and hospital admissions among frequent emergency department users beyond what others experienced with treatment as usual. However, this study also identified benefits of the stepped-care intervention, notably for increasing access to psychiatric outpatient services.

Indexed as

Case ManagementCommunity Mental Health ServicesEmergency Service, HospitalMental DisordersAdultEmergency Room VisitsFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesSubstance-Related DisordersYoung AdultAddictionCase managementCommunity mental healthEmergency departmentMental illnessSystem navigation

Identifiers

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.