• BMJ open · Sep 2019

    Comparative Study

    Psychometric validation of Swedish and Arabic versions of two health literacy questionnaires, eHEALS and HLS-EU-Q16, for use in a Swedish context: a study protocol.

    • Josefin M Wangdahl, Karuna Dahlberg, Maria Jaensson, and Ulrica Nilsson.
    • Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
    • BMJ Open. 2019 Sep 17; 9 (9): e029668.

    IntroductionEquity in health and access to healthcare regardless of gender, ethnicity or social position is a major political issue worldwide. Regardless of an individual's knowledge, motivation and competence, individuals are expected to be engaged and take responsibility of their own care. Migrants have been identified as a vulnerable population in healthcare, and an explanation for the inequity in health and in healthcare is limited health literacy. Furthermore, with increasing digitalisation in healthcare, it also puts demand on the individual to have digital or electronic health (eHealth) literacy.The overall aim of this study is to conduct a psychometric evaluation of the Swedish and Arabic versions of HLS-EU-Q16 and eHEALS and to compare Arabic and Swedish speakers' Health literacy and eHealth literacy levels in Sweden.Methods And AnalysisThis is a prospective, psychometric evaluation study with the intent of including 300 Arabic-speaking and 300 Swedish-speaking participants. Questionnaires: The Health Literacy Survey European Questionnaire (HLS-EU-Q16) includes 16 items measuring perceived personal skills of finding, understanding, judging and applying health information to maintain and improve their health. The eHealth literacy scale (eHEALS) is an 8-item scale measuring health literacy skills in relation to online information and applications.This study will be conducted in four phases. Phase 1: Translation of HLS-EU-Q16 and eHEALS from English to Swedish and Arabic versions following the principles of translation of questionnaires. Phase 2: Content validity testing of eHEALS, including face validity and interpretability, conducted with five Arabic and five Swedish-speaking participants. Phase 3: Psychometric testing including construct validity, reliability, feasibility and floor ceiling effects. Phase 4: Distribution and comparison of eHealth and HLS-EU-Q16 analysed with χ2 and Fisher's exact test as appropriate. To assess associations between HLS-EU-Q16, eHEALS and demographic variables, binary logistic regression analyses will be performed.Ethics And DisseminationThe project has been approved by the regional ethical review board in Stockholm, Sweden (2019/5:1) and will follow the principles outlined in the 1964 Helsinki Declaration and its later amendments. Results from this study will be disseminated in peer-reviewed journals, scientific conferences and social media.© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…