Exploring Continuum and Categorical Conceptualisations of Mental Health and Mental Illness on Australian Websites: A Systematic Review and Content Analysis.

Dominic K Fernandez, Saniya Singh, Frank P Deane, Stewart A Vella

Abstract readSystematic Review

In one paragraph

Synthesis in Community mental health journal, 2023. 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.

Dominic K FernandezSchool of Psychology, University of Wollongong, North Wollongong, NSW, 2522, Australia. df396@uowmail.edu.au.ORCID http://orcid.org/0000-0002-5770-3140

Saniya SinghSchool of Psychology, University of Wollongong, North Wollongong, NSW, 2522, Australia.

Frank P DeaneSchool of Psychology, University of Wollongong, North Wollongong, NSW, 2522, Australia.

Stewart A VellaSchool of Psychology, University of Wollongong, North Wollongong, NSW, 2522, Australia.

Funding

Commonwealth of Australia Australian Government Research Training Program Scholarship.

6 · The paper itself

Abstract

It is important to explore the types of conceptualisations and causes presented in online mental health promotion given the implications that these presentations may have on mental health stigma. This study systematically reviewed 92 Australian webpages focused on either mental health, mental illness, depression, or schizophrenia, to explore the types of conceptualisations and aetiologies presented. A minority of mental health and mental illness webpages (n = 8, 8.70%) explicitly presented continuum conceptualisations, with none providing explicit categorical conceptualisations. No depression or schizophrenia webpages presented explicit conceptualisations of any kind. All four webpage foci had a greater proportion of continuum than categorical conceptualisations. Moreover, both depression and schizophrenia webpages presented many mixed conceptualisations which included both continuum and categorical messaging. Most webpages mentioned biological and social causes equally across webpage foci. These findings suggest that Australian mental health websites predominantly present continuum conceptualisations of mental health and mental illness.

Indexed as

Mental DisordersSchizophreniaAustraliaConcept FormationHumansMental HealthSocial StigmaCategorical conceptualisationCause; systematic reviewContinuum conceptualisationMental healthMental illness

Identifiers

PMID35994182

DOI10.1007/s10597-022-01005-w

PMCPMC9859906

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.