Evidence map›Paper›PMID 41662131›Full record

ArticlePLOS mental health2025

Mental health and addiction concerns in northern Ontario: A cross-sectional study of sociodemographic predictors, access barriers, and service needs.

Michelle Hirsch, Anthony Levitt, Roula Markoulakis

Abstract read
In one paragraph

Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Michelle HirschSunnybrook Research Institute, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0002-3138-9533
Anthony LevittSunnybrook Research Institute, Toronto, Ontario, Canada.
Roula MarkoulakisSunnybrook Research Institute, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-9149-025X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to mental health and/or addiction (MHA) services is limited in rural and remote regions, especially in geographically diverse areas such as Ontario, Canada. Moreover, available services may not be able to address the unique needs of those seeking support. To effectively address local MHA service needs, it is necessary to understand predictors of MHA concerns and the experiences of those accessing care in rural areas such as northern Ontario. The current study focused on individuals living in northern Ontario and aimed to 1. Identify sociodemographic factors that predict their MHA concerns; 2. Identify common barriers experienced by those seeking MHA services; and 3. Explore their MHA support needs. Survey data were collected online from 500 northern Ontario residents (aged 18+) between January and March 2022. Univariate statistics were used to describe MHA service access, barriers, and needs, and adjusted multiple logistic regression was conducted to assess predictors of MHA concerns. Younger age (Odds Ratio (OR) = 0.972), low socioeconomic status (middle: OR = 0.491; high: OR = 0.436), identifying as non-straight/non-heterosexual (straight/heterosexual: OR = 0.336), identifying as married (unmarried: OR = 0.507), and dissatisfaction with social support (OR = 6.410) were significant predictors of MHA concerns. Although most (76.8%) of the sample reported MHA concerns, less than a quarter of the sample accessed support. Most frequently accessed services tended to be less specialized, and most frequently reported access barriers were mainly systemic. The current study describes predictors of MHA concern as well as the unique MHA-service-related experiences and needs of northern Ontario residents. These findings may be considered in efforts to develop MHA tools and supports that align with local needs.

Identifiers

PMID41662131
PMCPMC12798292

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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.