Evidence map›Paper›PMID 37946243›Full record

ArticleInternational journal of mental health systems2023

Treatment rates and barriers to mental health service utilisation among university students in South Africa.

Jason Bantjes, Molly J Kessler, Xanthe Hunt, Dan J Stein, Ronald C Kessler

Abstract read
In one paragraph

Article in International journal of mental health systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mental health practitioners' experiences providing mental healthcare services to students in a higher education institution: A qualitative study.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2026
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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

5 authors.

Jason BantjesMental Health, Alcohol, Substance Use and Tobacco (MAST) Research Unit, South African Medical Research Council, Cape Town, South Africa. Jason.Bantjes@mrc.ac.za.ORCID http://orcid.org/0000-0002-3626-9883
Molly J KesslerBoston College, Chestnut Hill, MA, USA.
Xanthe HuntInstitute for Life Course Health Research, Department of Global Health, Stellenbosch University, Stellenbosch, South Africa.ORCID http://orcid.org/0000-0001-7531-6665
Dan J SteinDepartment of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0001-7218-7810
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.

Funding

South African Medical Research Council MCSP (JB _XH)
6 · The paper itself

Abstract

backgroundMental health problems are common and impairing among university students, yet only a minority of students with psychological disorders access treatment. Understanding barriers to treatment is integral to planning services, especially in resource constrained settings like South Africa (SA).

methodsData collected across 17 institutions in the online SA National Student Mental Health Survey were used to: (1) estimate 12-month prevalence of common mental health problems and self-harm; (2) estimate the proportion of students receiving treatments for the various mental health problems; (3) explore barriers to treatment; and (4) investigate sociodemographic predictors of treatment mediated through the various barriers endorsed by students with mental health problems. Prevalence analyses were carried out using cross-tabulations and prediction analyses using modified Poisson regression models.

resultsPrevalence of clinically significant mental health problems is high relative to international comparisons, with the prevalence of severe, mild and moderate symptoms of any disorder and/or self-harm of 24.8% (SD = 0.3), 18.8% (SD = 0.3) and 27.6% (SD = 0.4) respectively. Treatment rates were 35.2% (S.E. = 0.6) among students with mental health problems who perceived need for treatment and 21.3% (S.E. = 0.4) irrespective of perceived need. Treatment rates were highest for mood disorders (29.9%, S.E. = 0.6) and lowest for externalising disorders (23.8%, S.E. = 0.5). Treatment rates were much less variable across disorder types among students with perceived need than irrespective of perceived need, indicating that perceived need mediated the associations of disorder types with received treatment. Adjusting for disorder profile, probability of obtaining treatment was significantly and positively associated with older age, female gender, study beyond the first year, traditional sexual orientation, and diverse indicators of social advantage (full-time study, high parent education, and attending Historically White Institutions). Among students with mental health problems, numerous barriers to treatment were reported adjusting for disorder profile, including lack of perceived need (39.5%, S.E. = 0.5) and, conditional on perceived need, psychological (54.4%, S.E. = 1.0), practical (77.3%, S.E. = 1.1), and other (79.1%, S.E. = 1.1) barriers. Typically, students reported multiple barriers to treatment. Differences in perceived need explained the gender difference in treatment, whereas practical barriers were most important in accounting for the other predictors of treatment.

conclusionMental health problems are highly prevalent but seldom treated among SA university students. Although many barriers were reported, practical barriers were especially important in accounting for the associations of social disadvantage with low rates of treatment. Many of these practical barriers are however addressable.

Indexed as

Mental disordersMental health problemsSuicidalityTreatment barriersTreatment ratesUniversity students

Identifiers

PMID37946243
PMCPMC10633973

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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.