IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i13p6836-d582433.html
   My bibliography  Save this article

Evaluating Local Multilingual Health Care Information Environments on the Internet: A Pilot Study

Author

Listed:
  • Russell Miller

    (Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan)

  • Nicholas Doria-Anderson

    (Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan)

  • Akira Shibanuma

    (Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan)

  • Jennifer Lisa Sakamoto

    (Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan)

  • Aya Yumino

    (Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
    Kawasaki Health Cooperative Association, Asao Clinic, Kawasaki 210-0833, Japan)

  • Masamine Jimba

    (Department of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan)

Abstract

For foreign-born populations, difficulty in finding health care information in their primary language is a structural barrier to accessing timely health care. While such information may be available at a national level, it may not always be relevant or appropriate to the living situations of these people. Our objective was to explore the quality of online multilingual health information environments by pilot-testing a framework for assessing such information at the prefectural level in Japan. The framework consisted of five health care domains (health system, hospitals, emergency services, medical interpreters, and health insurance). Framework scores varied considerably among prefectures; many resources were machine-translated. These scores were significantly associated with foreign population proportion and the number of hospitals in each prefecture. Our multilingual health care information environment (MHCIE) framework provides a measure of health access inclusivity, which has not been quantified before. It is adaptable to other international contexts, but further validation is required.

Suggested Citation

  • Russell Miller & Nicholas Doria-Anderson & Akira Shibanuma & Jennifer Lisa Sakamoto & Aya Yumino & Masamine Jimba, 2021. "Evaluating Local Multilingual Health Care Information Environments on the Internet: A Pilot Study," IJERPH, MDPI, vol. 18(13), pages 1-12, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:6836-:d:582433
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/13/6836/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/13/6836/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maayan Zhitomirsky‐Geffet & Judit Bar‐Ilan & Mark Levene, 2018. "Categorical relevance judgment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(9), pages 1084-1094, September.
    2. Ruben L Bach & Alexander Wenz, 2020. "Studying health-related internet and mobile device use using web logs and smartphone records," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-20, June.
    3. Yan Zhang & Yalin Sun & Bo Xie, 2015. "Quality of health information for consumers on the web: A systematic review of indicators, criteria, tools, and evaluation results," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2071-2084, October.
    4. Steven M. Beitzel & Eric C. Jensen & Abdur Chowdhury & Ophir Frieder & David Grossman, 2007. "Temporal analysis of a very large topically categorized Web query log," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(2), pages 166-178, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan Zhang & Ciaran B. Trace, 2022. "The quality of health and wellness self‐tracking data: A consumer perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 879-891, June.
    2. Sandra Salm & Judith Mollenhauer & Carolin Hornbach & Natalia Cecon & Antje Dresen & Stefanie Houwaart & Anna Arning & Andrea Göttel & Kathrin Schwickerath & Holger Pfaff & Nadine Scholten & Theresia , 2021. "Participatory Development and Preliminary Psychometric Properties of the User-Friendly Patient Information Material Checklist (UPIM-Check)," IJERPH, MDPI, vol. 18(16), pages 1-16, August.
    3. Jacopo Ciaffi & Riccardo Meliconi & Maria Paola Landini & Luana Mancarella & Veronica Brusi & Cesare Faldini & Francesco Ursini, 2021. "Seasonality of Back Pain in Italy: An Infodemiology Study," IJERPH, MDPI, vol. 18(3), pages 1-10, February.
    4. Oducado, Ryan Michael F. & Moralista, Rome B., 2020. "Filipino Nursing Students' eHealth Literacy and Criteria Used for Selection of Health Websites," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(13B), pages 231-343.
    5. Krzysztof Płaciszewski & Waldemar Wierzba & Janusz Ostrowski & Jarosław Pinkas & Mateusz Jankowski, 2022. "Use of the Internet for Health Purposes—A National Web-Based Cross-Sectional Survey among Adults in Poland," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    6. Juliane Rackerseder & Carolin Hornbach & Peter Dicks & Hedy Kerek-Bodden & Theresia Krieger, 2022. "Designing a Patient-Friendly Website for Newly Diagnosed Cancer Patients with the Participatory Health Research Approach," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    7. Jordan Lovett & Candice Gordon & Shelby Patton & Chen X. Chen, 2019. "Online information on dysmenorrhoea: An evaluation of readability, credibility, quality and usability," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(19-20), pages 3590-3598, October.
    8. Yaxin Bi, 2022. "Sentiment classification in social media data by combining triplet belief functions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 968-991, July.
    9. Nanae Tanemura & Tsuyoshi Chiba, 2022. "The usefulness of a checklist approach-based confirmation scheme in identifying unreliable COVID-19-related health information: a case study in Japan," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-7, December.
    10. Shannon C. Killip & Natalie K. R. Kwong & Joy C. MacDermid & Amber J. Fletcher & Nicholas R. Carleton, 2020. "The Quality, Readability, Completeness, and Accuracy of PTSD Websites for Firefighters," IJERPH, MDPI, vol. 17(20), pages 1-18, October.
    11. Agata Balińska & Ewa Jaska & Agnieszka Werenowska, 2021. "The Role of Eco-Apps in Encouraging Pro-Environmental Behavior of Young People Studying in Poland," Energies, MDPI, vol. 14(16), pages 1-16, August.
    12. Yan Zhang & Jiaying Liu & Shijie Song, 2023. "The design and evaluation of a nudge‐based interface to facilitate consumers' evaluation of online health information credibility," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 828-845, July.
    13. Noémie Chaniaud & Pauline Jeanpierre & Vanessa Laguette & Emilie Loup-Escande, 2022. "Impact of Psycho-Social Factors, E-health Literacy and Information Access on COVID-19 Vaccination Perceptions and Intentions: Online Survey," Review of European Studies, Canadian Center of Science and Education, vol. 14(2), pages 1-55, June.
    14. Ruben L. Bach & Christoph Kern & Denis Bonnay & Luc Kalaora, 2022. "Understanding political news media consumption with digital trace data and natural language processing," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 246-269, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:6836-:d:582433. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.