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The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation

Author

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  • Benjamin Miranda Tabak

    (School of Public Policy and Government, Getulio Vargas Foundation, SGAN 602 Módulos A,B,C, Asa Norte, Brasília 70830-020, Brazil
    These authors contributed equally to this work.)

  • Matheus B. Froner

    (School of Public Policy and Government, Getulio Vargas Foundation, SGAN 602 Módulos A,B,C, Asa Norte, Brasília 70830-020, Brazil
    These authors contributed equally to this work.)

  • Rafael Corrêa

    (School of Public Policy and Government, Getulio Vargas Foundation, SGAN 602 Módulos A,B,C, Asa Norte, Brasília 70830-020, Brazil
    These authors contributed equally to this work.)

  • Thiago C. Silva

    (Graduate Programme of Economics, Catholic University of Brasília, Taguatinga 71966-700, Brazil
    These authors contributed equally to this work.)

Abstract

In recent decades, health literacy has garnered increasing attention alongside a variety of public health topics. This study aims to explore trends in this area through a bibliometric analysis. A Random Forest Model was utilized to identify keywords and other metadata that predict average citations in the field. To supplement this machine learning analysis, we have also implemented a bibliometric review of the corpus. Our findings reveal significant positive coefficients for the keywords “COVID-19” and “Male”, underscoring the influence of the pandemic and potential gender-related factors in the literature. On the other hand, the keyword “Female” showed a negative coefficient, hinting at possible disparities that warrant further investigation. Additionally, evolving themes such as COVID-19, mental health, and social media were discovered. A significant change was observed in the main publishing journals, while the major contributing authors remained the same. The results hint at the influence of the COVID-19 pandemic and a significant association between gender-related keywords on citation likelihood, as well as changing publication strategies, despite the fact that the main researchers remain those who have been studying health literacy since its creation.

Suggested Citation

  • Benjamin Miranda Tabak & Matheus B. Froner & Rafael Corrêa & Thiago C. Silva, 2023. "The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation," IJERPH, MDPI, vol. 20(20), pages 1-18, October.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:20:p:6951-:d:1263990
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    1. Renata W. Yen & Jenna Smith & Jaclyn Engel & Danielle Marie Muscat & Sian K. Smith & Julien Mancini & Lilisbeth Perestelo-Pérez & Glyn Elwyn & A. James O’Malley & JoAnna K. Leyenaar & Olivia Mac & , 2021. "A Systematic Review and Meta-Analysis of Patient Decision Aids for Socially Disadvantaged Populations: Update from the International Patient Decision Aid Standards (IPDAS)," Medical Decision Making, , vol. 41(7), pages 870-896, October.
    2. Smith, Sian K. & Dixon, Ann & Trevena, Lyndal & Nutbeam, Don & McCaffery, Kirsten J., 2009. "Exploring patient involvement in healthcare decision making across different education and functional health literacy groups," Social Science & Medicine, Elsevier, vol. 69(12), pages 1805-1812, December.
    3. Nutbeam, Don, 2008. "The evolving concept of health literacy," Social Science & Medicine, Elsevier, vol. 67(12), pages 2072-2078, December.
    4. Corrado Cuccurullo & Massimo Aria & Fabrizia Sarto, 2016. "Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 595-611, August.
    5. Mariana Loezar-Hernández & Erica Briones-Vozmediano & Elena Ronda-Pérez & Laura Otero-García, 2023. "Juggling during Lockdown: Balancing Telework and Family Life in Pandemic Times and Its Perceived Consequences for the Health and Wellbeing of Working Women," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    6. Stephanie Griggs & Christine Horvat Davey & Quiana Howard & Grant Pignatiello & Deepesh Duwadi, 2022. "Socioeconomic Deprivation, Sleep Duration, and Mental Health during the First Year of the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-10, November.
    7. Barbara K Kondilis & Ismene J Kiriaze & Anastasia P Athanasoulia & Matthew E Falagas, 2008. "Mapping Health Literacy Research in the European Union: A Bibliometric Analysis," PLOS ONE, Public Library of Science, vol. 3(6), pages 1-6, June.
    8. Hyndman, Rob J. & Koehler, Anne B., 2006. "Another look at measures of forecast accuracy," International Journal of Forecasting, Elsevier, vol. 22(4), pages 679-688.
    9. Sheng-Chih Chen & Le Duc Huy & Cheng-Yu Lin & Chih-Feng Lai & Nhi Thi Hong Nguyen & Nhi Y. Hoang & Thao T. P. Nguyen & Loan T. Dang & Nguyen L. T. Truong & Tan N. Phan & Tuyen Van Duong, 2022. "Association of Digital Health Literacy with Future Anxiety as Mediated by Information Satisfaction and Fear of COVID-19: A Pathway Analysis among Taiwanese Students," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    10. Andrej Kirbiš, 2023. "The Impact of Socioeconomic Status, Perceived Threat and Healthism on Vaccine Hesitancy," Sustainability, MDPI, vol. 15(7), pages 1-13, March.
    11. Laia Selva-Pareja & Anabel Ramos-Pla & Pere Mercadé-Melé & Anna Espart, 2022. "Evolution of Scientific Production on Health Literacy and Health Education—A Bibliometric Analysis," IJERPH, MDPI, vol. 19(7), pages 1-20, April.
    12. Fabrizio Sarto & Corrado Cuccurullo & Massimo Aria, 2014. "Exploring healthcare governance literature: systematic review and paths for future research," MECOSAN, FrancoAngeli Editore, vol. 2014(91), pages 61-80.
    13. Zhenhua Zheng & Wanting Liu & Liu Yang & Ning Sun & Yingchen Lu & Hong Chen, 2022. "Group Differences: The Relationship between Social Media Use and Depression during the Outbreak of COVID-19 in China," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
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