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Mental health literacy measures evaluating knowledge, attitudes and help-seeking: a scoping review
Open accessAbstract
BACKGROUND: Mental health literacy has received increasing attention as a useful strategy to promote early identification of mental disorders, reduce stigma and enhance help-seeking behaviors. However, despite the abundance of research on mental health literacy interventions, there is the absence of evaluations of current available mental health literacy measures and related psychometrics. We conducted a scoping review to bridge the gap. METHODS: We searched PubMed, PsycINFO, Embase, CINAHL, Cochrane Library, and ERIC for relevant studies. We only focused on quantitative studies and English publications, however, we didn't limit study participants, locations, or publication dates. We excluded non-English studies, and did not check the grey literature (non peer-reviewed publications or documents of any type) and therefore may have missed some eligible measures. RESULTS: We located 401 studies that include 69 knowledge measures (14 validated), 111 stigma measures (65 validated), and 35 help-seeking related measures (10 validated). Knowledge measures mainly investigated the ability of illness identification, and factual knowledge of mental disorders such as terminology, etiology, diagnosis, prognosis, and consequences. Stigma measures include those focused on stigma against mental illness or the mentally ill; self-stigma ; experienced stigma; and stigma against mental health treatment and help-seeking. Help-seeking measures included those of help-seeking attitudes, intentions to seek help, and actual help-seeking behaviors. CONCLUSIONS: Our review provides a compendium of available mental health literacy measures to facilitate applying existing measures or developing new measures. It also provides a solid database for future research on systematically assessing the quality of the included measures.
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“Mental health knowledge and literacy will be evaluated using the mental health knowledge questionnaire (MHKQ) [27].”
From Promoting the mental health of university students in China: Protocol for contextual assessment to inform intervention design and adaptation (2021) · cites this paper as [28]
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“The stigma associated with mental illness presents a barrier to seeking help for their mental health.”
From Promoting the mental health of university students in China: Protocol for contextual assessment to inform intervention design and adaptation (2021) · cites this paper as [13]
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Metadata
- Authors
- Wei, Y., McGrath, P. J., Hayden, J., & Kutcher, S.
- Affiliations
- Dalhousie University (CA)
- Corresponding author
- Wei, Yifeng
- Venue
- BMC Psychiatry
- Published
- 2015-11-17
- Volume
- 15
- Issue
- 1
- Pages
- 291-291
- ISSN
- 1471-244X (ISSN-L)
- PMC
- PMC4650294
- OpenAlex
- W2181127550
- Cited by
- 500
- References
- 192
- Citations by year
- 2026: 58 · 2025: 74 · 2024: 59 · 2023: 64 · 2022: 69 · 2021: 51 · 2020: 40 · 2019: 36 · 2018: 29 · 2017: 17 · 2016: 3
- FWCI
- 2.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research (CA) (237816)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Keywords
- mental health literacy, psychometric properties, mental illness knowledge, mental health stigma, help-seeking, help-seeking attitudes, self-stigma
- MeSH terms
- Adolescent, Adult, Mental Disorders, Child, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Mental Health, Middle Aged, Patient Acceptance of Health Care, Psychotherapy, Persons with Psychiatric Disorders, Intention, Young Adult, Health Literacy, Social Stigma
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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