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Measurement properties of tools measuring mental health knowledge: a systematic review

Overview of attention for article published in BMC Psychiatry, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Measurement properties of tools measuring mental health knowledge: a systematic review
Published in
BMC Psychiatry, August 2016
DOI 10.1186/s12888-016-1012-5
Pubmed ID
Authors

Yifeng Wei, Patrick J. McGrath, Jill Hayden, Stan Kutcher

Abstract

Mental health literacy has received great attention recently to improve mental health knowledge, decrease stigma and enhance help-seeking behaviors. We conducted a systematic review to critically appraise the qualities of studies evaluating the measurement properties of mental health knowledge tools and the quality of included measurement properties. We searched PubMed, PsycINFO, EMBASE, CINAHL, the Cochrane Library, and ERIC for studies addressing psychometrics of mental health knowledge tools and published in English. We applied the COSMIN checklist to assess the methodological quality of each study as "excellent", "good", "fair", or "indeterminate". We ranked the level of evidence of the overall quality of each measurement property across studies as "strong", "moderate", "limited", "conflicting", or "unknown". We identified 16 mental health knowledge tools in 17 studies, addressing reliability, validity, responsiveness or measurement errors. The methodological quality of included studies ranged from "poor" to "excellent" including 6 studies addressing the content validity, internal consistency or structural validity demonstrating "excellent" quality. We found strong evidence of the content validity or internal consistency of 6 tools; moderate evidence of the internal consistency, the content validity or the reliability of 8 tools; and limited evidence of the reliability, the structural validity, the criterion validity, or the construct validity of 12 tools. Both the methodological qualities of included studies and the overall evidence of measurement properties are mixed. Based on the current evidence, we recommend that researchers consider using tools with measurement properties of strong or moderate evidence that also reached the threshold for positive ratings according to COSMIN checklist.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Unknown 302 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 51 17%
Student > Ph. D. Student 39 13%
Student > Bachelor 30 10%
Student > Doctoral Student 24 8%
Researcher 21 7%
Other 46 15%
Unknown 92 30%
Readers by discipline Count As %
Psychology 78 26%
Medicine and Dentistry 40 13%
Social Sciences 28 9%
Nursing and Health Professions 26 9%
Business, Management and Accounting 4 1%
Other 28 9%
Unknown 99 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2020.
All research outputs
#3,378,602
of 25,391,066 outputs
Outputs from BMC Psychiatry
#1,350
of 5,442 outputs
Outputs of similar age
#55,804
of 353,435 outputs
Outputs of similar age from BMC Psychiatry
#24
of 102 outputs
Altmetric has tracked 25,391,066 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,435 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.