Covid-19 pandemisi sırasında sağlık iletişimine bütünsel bir bakış: Bilim haritalama tekniğiyle bir analiz
DOI:
https://doi.org/10.5281/zenodo.6769963Anahtar Kelimeler:
Bibliyometri, Bilim Haritalama, Covid-19, İletişim, Sağlık İletişimiÖzet
Amaç: Bu çalışmanın amacı, Covid 19 Pandemi sürecinde sıkça gündeme gelen “sağlık iletişimi” konusunun tematik ve stratejik gelişimini incelemek ve bu gelişimi değerlendirmektir.
Yöntem: Araştırmada bilim haritalama yöntemi kullanılmıştır. Araştırmaya dâhil edilen makaleler Web of Science Core Collection veri tabanından indirilmiş ve SciMAT bilim haritalama programı aracılığıyla analiz edilmiştir. Analiz, veriler “1990-1999”, “2000-2009” ve “2010-2020” periyotlarına ayrılarak gerçekleştirilmiş ve analiz birimi olarak “kelimeler” kullanılmıştır. Araştırma bulguları; örtüşme haritası, tematik ağ, tematik gelişim haritası ve stratejik diyagramlar ile değerlendirilmiştir.
Bulgular: Sağlık iletişimi konusunda en fazla yayının 2020 yılında yapıldığı, en fazla yayın yapan ülkelerin Amerika Birleşik Devletleri (n=489) ve Avustralya (n=41) olduğu; en önemli motor temaların birinci dönemde “internet, behavior, metaanalysis”, ikinci dönemde “self, impact, HIV/AIDS, persuasion”, üçüncü dönemde ise “social media, behavior, prevention, awareness, information seeking” temaları olduğu görülmüştür.
Sonuç: Sağlık iletişimi konusu özellikle son yıllarda sıkça gündeme gelmektedir. Bu çalışma ile bu konudaki yayınlar ile konuya holistik bir bakış açısı sunulmaya çalışılmıştır. Araştırmacıların yeni çalışma alanları belirlerken, özellikle ortaya çıkan motor temaları dikkate alması önerilmektedir. Bu gibi bilim haritalama çalışmalarının konuya ilgi duyan tüm paydaşlar açısından önemli bir farkındalık oluşturabileceği değerlendirilmektedir.
Referanslar
Office of the National Coordinator for Health Information Technology. Federal health information technology strategic plan 2011-2015. 2011. URL: https://www.healthit.gov/sites/default/files/utility/final-federal-health-it-strategic-plan-0911.pdf [accessed2021-07-14].
Hibbard, J. H., &Greene, J. What the evidences how sabout patientactivation: Better health out comes and care experiences; fewer data on costs. Health Affairs. 2013; 32(2): 207-214.
Allen MP, Auld ME, Zorn ME. K-12 Health Education, Health Communication, and Health Literacy: Strategies to Improve Life long Health. Stud Health Techno Inform. doi: 10.3233/SHTI200054. 2020; (25)269:400-438.
Nica, E. The function of social media in the health care industry. American Journal of Medical Research. 2015; 2(2): 217-222.
Seeger, M. W., Reynolds, B., & Sellnow, T. L. Crisis and emergency risk communication in healthcontexts: Applyingthe CDC model to pandemic influenza. In Handbook of Risk and Crisis Communication Routledge. 2020; 493-506.
Patten, C. A., Lando, H., Resnicow, K., Decker, P. A., Smith, C. M., Hanza, M. et al. Developing health communication messaging for a social marketing campaign to reduce to baccouse in pregnancy among Alaska Nativewomen. Journal of Communication in Healthcare. 2018; 11(4): 252-262.
Menefee HK, Thompson MJ, Guterbock TM, Williams IC, Valdez RS. Mechanisms of Communicating Health Information Through Facebook: Implications for Consumer Health Information Technology Design. J Med Internet Res. doi: 10.2196/jmir.5949. 2016;18(8): e218.
Aria M, Cuccurullo C. bibliometrix: An R-tool for comprehensive science mapping analysis. J Informetr. 2017;11(4):959–975.
Mokdad AH, Ballestros K, Echko M, Glenn S, Olsen HE, Mullany E, et al. TheState of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States. Jama 2018;319(14):1444–1472 Availablefrom: https://www.ncbi.nlm.nih.gov/pubmed/29634829 [Internet]. 2018/04/11.
Chen C. Science mapping: a systematic review of the literature. J Data InfSci. 2017;2(2):1–40.
Zupic I, Čater T. Bibliometric methods in management and organization. Organ Res Methods. 2015;18(3):429–472.
Kurutkan MN, Usta E, Orhan F, Simsekler MC. Application of the IHI Global Trigger Tool in measuring thead verse event rate in a Turkish health care setting. Int J Risk Saf Med. 2015;27(1):11–21.
Van Raan AF. Advances in bibliometric analysis: research performance assessment and science mapping. Bibliomet Use Abus Rev Res Perform. 2014;17
https://apps.web of knowledge.com/Search.product=WOS&SID= D244kOddKovJ9TrPV9l&search _mode = General Search&prID= 2b81ba32-bc5e-4db4-9b34-2742609aef8d (Erişim Tarihi: 29.06.2021)
https://sci2s.ugr.es/scimat/index.html. (Erişim Tarihi: 29.06.2021)
Akyüz, S., Uğrak, U., Çelik, Y. Evolution of Clinical Practice Guidelines: A Science Mapping Analysis. Turkiye Klinikleri J Health Sci. doi:10.5336/healthsci.2020-75743. 2021; 6(2): 350-366.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., Herrera, F. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics. 2011; 5(1): 146-166.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., Herrera, F. SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology. 2012; 63(8): 1609-1630.
Cobo, M. J., Martínez, M.-Á., Gutiérrez-Salcedo, M., Fujita, H., Herrera-Viedma, E. 25 years at knowledge-based systems: a bibliometric analysis. Knowledge-Based Systems. 2015; 80, 3-13.
Martínez, M. A., Cobo, M. J., Herrera, M., Herrera-Viedma, E. Analyzing the scientific evolution of social work using science mapping. Research on Social Work Practice. 2015; 25(2): 257-277.
Murgado-Armenteros, E. M., Gutiérrez-Salcedo, M., Torres-Ruiz, F. J., Cobo, M. J. Analysing the conceptual evolution of qualitative marketing research through science mapping analysis. Scientometrics. 2015; 102(1): 519-557.
Finset, A., Bosworth, H., Butow, P., Gulbrandsen, P., Hulsman, R. L., Pieterse, A. H., et al. Effective health communication–a keyfactor in fightingthe COVID-19 pandemic. Patient Education and Counseling, 2020; 103(5): 873-876.
Mheidly, N., Fares, J. Veraging media and health communication strategies too vercomethe COVID-19 infodemic. Journal of Public Health Policy. 2020; 1-11.
Lancet, T. COVID-19: Fighting panic with information. Lancet (London, England). 2020; 395(10224): 537.
TÜBİTAK. Dünya, Ülkeler ve Gruplar Bilimsel Yayın Sayısı (2010-2015) [Internet]. TÜBİTAK Ulakbim Cahit Arf Bilgi Merkezi. 2020. Availablefrom: https://cabim.ulakbim.gov.tr/bibliyometrik-analiz/turkiye-bilimsel-yayin-performans-raporlari/Erişim tarihi: 14.07.2021.
Zhang, L., Li, H., Chen, K. Effective risk communication for public health emergency: Reflection on the COVID-19 (2019-nCoV) outbreak in Wuhan, China. In Healthcare. 2020; 8(1): 64.
Shangguan Z, Wang MY, Sun W. What Caused the Outbreak of COVID-19 in China: From the Perspective of Crisis Management. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17093279. 2020; 17(9):3279.
Academic Ranking of World Universities,. Academic Ranking of World Universities (ARWU). 2020. http://www.shanghairanking.com/ Erişim tarihi: 14.07.2021.
Frey, L., Botan, C. H., Kreps, G. Investigating communication. NY: Allyn & Bacon. 2000.
Noar, S. M., Benac, C. N., Harris, M. S. Does tailoring matter? Meta-analytic review of tailored print health behavior change inter ventions. Psychological Bulletin. 2007; 133(4): 673.
Rimer, B. K., Kreuter, M. W. Advancing tailored health communication: A persuasionand message effects perspective. Journal of Communication, 56(suppl_1). 2006; 184-201.
Petraglia, J. The importance of being authentic: Persuasion, narration, anddialogue in health communication and education. Health Communication. 2009; 24(2): 176-185.
Snyder, L. B. Health communication campaignsand their impact on behavior. Journal of nutrition education and behavior. 2007; 39(2): 32-40.
Petty, R. E., Barden, J., Wheeler, S. C. The Elaboration Likelihood Model of persuasion: Developing health promotions forsus tained behavioral change. 2009.
Wilson, M. Readability and patient education materials used forlow-income populations. Clinical Nurse Specialist. 2009; 23(1): 33-40.
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., Hoving, C. A newdimension of healthcare: systematicreview of theuses, benefits, andlimitations of social media for health communication. Journal of Medical Internet Research. 2013; 15(4): e1933.
Kreps, G. L. Evaluating health communication programs to enhance health care and health promotion. Journal of Health Communication. 2014; 19(12): 1449-1459.
Chou, W. Y. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., Hesse, B. W. Social media use in the United States: Implications for health communication. Journal of Medical Internet Research. 2009; 11(4): e48.
Ishikawa, H., Kiuchi, T. Health literacy and health communication. Bio Psycho Social Medicine. 2010; 4(1): 1-5.
Allen, M. P., Auld, E., Logan, R., Montes, J. H., Rosen, S. Improving collaboration among health communication, health education, and health literacy. NAM Perspectives. 2017.
Wajahat H. Role of Social Media in COVID-19 Pandemic.The International Journal of Frontier Sciences. https://doi.org/10.37978/tijfs.v4i2.144. 2020. 4(2): 59-60.
Cinelli, M., Quattrociocchi, W., Galeazzi, A. et al. The COVID-19 social media infodemic. SciRep 10, 16598 (2020). https://doi.org/10.1038/s41598-020-73510-5 (Erişim: 10.10.2021).
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