Evidence map›Paper›PMID 29589218›Full record

ArticleCommunity mental health journal2019

Mental Health Attitudes and Beliefs in a Community Sample on the Central Coast in Australia: Barriers to Help Seeking.

Dominiek Coates, Christine Saleeba, Deborah Howe

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Article in Community mental health journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Dominiek CoatesFaculty of Health, University of Technology Sydney, Level 11, 235 Jones St., Ultimo, NSW, 2007, Australia. Dominiek.Coates@uts.edu.au.ORCID 0000-0002-4463-7615
Christine SaleebaCentral Coast Mental Health Service, Central Coast Local Health District, Gosford, NSW, Australia.
Deborah HoweCentral Coast Mental Health Service, Central Coast Local Health District, Gosford, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There continues to be call for greater community awareness actions and strategies to reduce stigma and enhance mental health literacy nationally and internationally. To identify local barriers to help-seeking and perceptions around stigma, we developed a 'mental health attitudes and beliefs' survey which was administered at a range of community events on the Central Coast in New South Wales, Australia. The aim was for the results of this survey to inform the development of strategies that enhance local help-seeking behaviours that are sensitive to the role of age, gender and Indigenous status. People who approached our Mental Health Information stall were invited to complete the survey and 282 individuals completed the survey. The data was analysed descriptively with a focus on comparing subgroups based on age, gender, Indigenous status, and previous service access or experience of mental illness. Cost, stigma and mental health literacy were found to be prominent barriers to help-seeking for the overall cohort; however, the ways in which or extent to which these barriers impact on help seeking varied between subgroups. A discussion of these differences and their implications for practice is the focus of this paper.

Indexed as

Help-Seeking BehaviorSocial StigmaAdolescentAdultAge FactorsChildCommunity Mental Health ServicesFemaleHealth LiteracyHumansIndigenous PeoplesMaleMental DisordersMiddle AgedNew South WalesPatient Acceptance of Health CareGender in mental health service accessHelp seekingMental health literacyMental health stigmaService barriersYouth mental health

Identifiers

PMID29589218

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.