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Measurement properties of the Mental Health Literacy Scale (MHLS) validation studies: a systematic review protocol. | LitMetric

AI Article Synopsis

  • Mental Health Literacy (MHL) is essential for enhancing mental health care and reducing treatment disparities, and the Mental Health Literacy Scale (MHLS) serves as a reliable tool for assessing MHL.
  • This systematic review will analyze the MHLS's measurement properties across different languages, following established methodologies to ensure rigorous evaluation of previous studies.
  • The review will be published in peer-reviewed journals and shared at conferences, focusing on articles from May 2015 to December 2023, with no need for ethics approval.

Article Abstract

Introduction: Mental Health Literacy (MHL) is important for improving mental health and reducing inequities in treatment. The Mental Health Literacy Scale (MHLS) is a valid and reliable assessment tool for MHL. This systematic review will examine and compare the measurement properties of the MHLS in different languages, enabling academics, clinicians and policymakers to make informed judgements regarding its use in assessments.

Methods And Analysis: The review will adhere to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology for systematic reviews of patient-reported outcome measures and the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and will be presented following the Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 checklist. The review will be conducted in four stages, including an initial search confined to PubMed, a search of electronic scientific databases PsycINFO, CINAHL, Scopus, MEDLINE, Embase (Elsevier), PubMed (NLM) and ERIC, an examination of the reference lists of all papers to locate relevant publications and finally contacting the MHLS original author to identify validation studies that the searches will not retrieve. These phases will assist us in locating studies that evaluate the measurement properties of MHLS across various populations, demographics and contexts. The search will focus on articles published in English between May 2015 and December 2023. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, and a comprehensive qualitative and quantitative data synthesis will be performed.

Ethics And Dissemination: Ethics approval is not required. The publication will be in peer-reviewed journals and presented at national and international conferences.

Prospero Registration Number: CRD42023430924.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10989124PMC
http://dx.doi.org/10.1136/bmjopen-2023-081394DOI Listing

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