The growth of health communication campaign research after 2018: A bibliometric analysis

Öz

Bibliometric analysis is a quantitative research method used to evaluate patterns of scientific publication, authorship, and research impact within a specific field. This study aims to fill this gap by conducting a bibliometric analysis of peer-reviewed literature on health campaigns. This bibliometric study provides a comprehensive overview of health campaign research published on Scopus between 2000 and 2025. The number of publications has steadily increased, particularly after 2018, with a peak in 2024. Despite recent declines in average citations, likely due to the citation lag of newer studies, the field shows consistent academic interest. The United States leads in publication output, key roles played by institutions such as the University of California and the University of Pennsylvania. Journals such as Health Communication, Journal of Health Communication, and Social Science & Medicine are the main sources in this field. Thematic mapping revealed that core topics include public health, HIV/AIDS, and health communication, while emerging or declining themes such as coronavirus disease 2019 (COVID-19), vaccination, and persuasion, may indicate shifting research priorities. Keyword analysis showed a concentration around general descriptors such as ‘human’ and ‘female,’ limited specificity in metadata.

Anahtar Kelimeler

• Bibliometric analysis
• health campaign
• health campaign research
• health communication
• health promotion

2018 sonrası sağlık iletişimi kampanyası araştırmalarının yükselişi: Bibliyometrik bir analiz

Öz

Bibliyometrik analiz, belirli bir alandaki bilimsel yayın, yazarlık ve araştırma etkisi modellerini değerlendirmek için kullanılan nicel bir araştırma yöntemidir. Bibliyometrik yöntemler, bilimsel çıktıları ve zaman içindeki eğilimleri değerlendirmek için sosyal bilimlerde yaygın biçimde uygulanmaktadır. Bu çalışma, sağlık iletişimi kapsamında sağlık kampanyaları ile ilgili yayınları incelemek amacıyla yapılmıştır. Yayın üretimi, üretken yazarlar, kurumlar, ülkeler ve tematik kümelerdeki eğilimler analiz edilerek, araştırma alanının gelişimine ilişkin kanıta dayalı bir genel bakış sağlanması amaçlanmıştır. Bu bibliyometrik çalışma, 2000-2025 yılları arasında Scopus veri tabanında yayımlanan sağlık kampanyası araştırmalarına ilişkin kapsamlı bir genel bakış sunmaktadır. Yayın sayısı özellikle 2018’den sonra istikrarlı bir şekilde artmış ve 2024’te zirveye ulaşmıştır. Yeni çalışmaların atıf gecikmesinden kaynaklanan ortalama atıflardaki düşüşlere rağmen, alan tutarlı bir akademik ilgi göstermektedir. Kaliforniya Üniversitesi ve Pensilvanya Üniversitesi gibi kurumların önemli roller üstlendiği Amerika Birleşik Devletleri, yayın üretiminde öncüdür. Health Communication, Journal of Health Communication ve Social Science & Medicine gibi dergiler, bu alandaki yayınlar için önceliklidir. Tematik haritalama, temel konuların halk sağlığı, HIV/AIDS ve sağlık iletişimi olduğunu ortaya koyarken, COVID-19 ve aşılama gibi ortaya çıkan temalar araştırma önceliklerinin değişkenliğini göstermektedir. Anahtar kelime analizi, ‘insan’ ve ‘kadın’ gibi genel tanımlayıcılar etrafında yoğunlaşmayı ortaya çıkarmıştır. Bu yoğunlaşma meta verilerde sınırlı özgüllük olduğunu göstermiştir.

Anahtar Kelimeler

• Bibliyometrik analiz
• sağlık kampanyası
• sağlık kampanyası araştırması
• sağlığın geliştirilmesi
• sağlık iletişimi

Kaynakça

1. Adebesin, F., Smuts, H., Mawela, T., Maramba, G., & Hattingh, M. (2023). The role of social media in health misinformation and disinformation during the COVID-19 pandemic: Bibliometric analysis. JMIR Infodemiology, 3:e48620, https://doi.org/10.2196/48620 google scholar
2. Aria, M., and Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007 google scholar
3. Atkin, C. K., & Rice, R. E. (2013). Theory and principles of public communication campaigns. In R. E. Rice & C. K. Atkin (Eds.), Public communication campaigns (4th ed., pp. 3-19). SAGE Publications. google scholar
4. Becerikli, S. Y. (2013). Türkiye’de sağlık iletişimi üzerine yazılan lisansüstü tezlerin bibliyometrik analizi: Eleştirel bir bakış. Ankara Sağlık Hizmetleri Dergisi, 12(2), 25-36. https://doi.org/10.1501/Ashd_0000000089 google scholar
5. Bornmann, L., & Daniel, H. D. (2008). What do citation counts measure? A review of studies on citing behavior. Journal of Documentation, 64(1), 45-80. https://doi.org/10.1108/00220410810844150 google scholar
6. Burnham, J. F. (2006). Scopus database: a review. Biomedical Digital Libraries, 3(1), https://doi.org/10.1186/1742-5581-3-1 google scholar
7. Cao, X., Binfang, Y., & Zhou, J. (2023). The global trends on health risk perception and communication: A bibliometric study and visualization analysis. Journal of Risk Research, 26(9), 969-988. https://doi.org/10.1080/13669877.2023.2220331 google scholar
8. Centers for Disease Control and Prevention. (2011). CDCynergy: Health communication planning model. https://www.cdc.gov/healthcommunication/cdcynergy/ (accessed on 15 June 2025). google scholar

9. Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory filled. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002 google scholar
10. de Las Heras-Pedrosa, C., Jambrino-Maldonado, C., Rando-Cueto, D., & Iglesias-Sanchez, P.P. (2022). COVID-19 study on scientific articles in health communication: A science mapping analysis in Web of Science. Int J Environ Res Public Health, 19(3), 1705-1735. https://doi.org/10.3390/ijerph19031705 google scholar
11. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070 google scholar
12. Duke, J. C., MacMonegle, A. J., Nonnemaker, J. M., Farrelly, M. C., Delahanty, J. C., Zhao, X., … Smith, A.A. (2019). Impact of the real cost media campaign on youth smoking initiation. American Journal of Preventive Medicine, 57(5), 645-651. https://doi.org/10.1016/j.amepre.2019.06.011 google scholar
13. Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809-1831. https://doi.org/10.1007/s11192-015-1645-z google scholar
14. Hornik, R., & Yanovitzky, I. (2003). Using theory to design evaluations of communication campaigns: The case of the national youth anti-drug media campaign. Communication Theory, 13(2), 204-224. https://doi.org/10.1111/j.1468-2885.2003.tb00289.x google scholar
15. Hornik, R., Jacobson, L., Orwin, R., Piesse, A., & Kalton, G. (2008). Effects of the national youth anti-drug media campaign on youths. Am J Public Health, 98(12), 2229-2236. https://doi.org/10.2105/AJPH.2007.125849 google scholar
16. Kashcha, M., Kwilinski, A., & Petrenko, K. (2022). Vaccination campaign: A bibliometric analysis. Health Economics and Management Review, 3(2), 8-16. https://doi.org/10.21272/hem.2022.2-01 google scholar
17. Kurnaz, A. (2021). The impact of the COVID-19 pandemic on communication studies: Bibliometric analysis. Journal of Selçuk Communication, 14(4), 1521-1545. https://doi.org/10.18094/josc.975982 google scholar
18. Lei, H., & Wang, S. (2023). COVID-19 research in communication journals: A structural topic modeling-assisted bibliometric analysis. Health Communication, 39(8), 1638-1650. https://doi.org/10.1080/10410236.2023.2229093 google scholar
19. Li, Q., Razi, S. A. M., & Zulkefli, N. A. M. (2024). Health communication research performance in 2013-2022: A bibliometric analysis. International Journal of Academic Research in Business & Social Sciences, 14(6), 1902-1920. https://dx.doi.org/10.6007/IJARBSS/v14-i6/21836 google scholar
20. Makkizadeh, F., & Ebrahimi, F. (2022). Theme trends and knowledge structure on health communication: Bibliometric analysis in PubMed database. Informatics in Medicine Unlocked, 32(2022), https://doi.org/10.1016/j.imu.2022.101033 google scholar
21. Mheidly, N., & Fares, J. (2020). Health communication in low-income countries: A 60-year bibliometric and thematic analysis. Journal of Education and Health Promotion, 9(163), 1-8. https://doi.org/10.4103/jehp.jehp_384_20 google scholar
22. Niederdeppe, J., Kuang, X., Crock, B., & Skelton, A. (2008). Media campaigns to promote smoking cessation among socioeconomically disadvantaged populations: What do we know, what do we need to learn, and what should we do now? Social Science & Medicine, 67(9), 1343-1355. https://doi.org/10.1016/j.socscimed.2008.06.037 google scholar
23. Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2016). The role of message tailoring in the development of persuasive health communication messages. Annals of the International Communication Association, 33(1), 73-133. https://doi.org/10.1080/23808985.2009.11679085 google scholar
24. Snyder, L. B. (2007). Health communication campaigns and their impact on behavior. Journal of Nutrition Education and Behavior, 39(2), 32-40. https://doi.org/10.1016/j.jneb.2006.09.004 google scholar
25. Snyder, L. B., Hamilton, M. A., Mitchell, E. W., Kiwanuka-Tondo, J., Fleming-Milici, F., & Proctor, D. (2004). A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States. Journal of Health Communication, 9(sup1), 71-96. https://doi.org/10.1080/10810730490271548 google scholar
26. Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S.E. (2021). From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Information Processing & Management, 58(2):102440. https://doi.org/10.1016/j.ipm.2020.102440 google scholar
27. Uğurluer, S., & Seven, M. (2024). A bibliometric analysis of extended reality research trends in communication studies written in English: Mapping the increasing adoption of extended reality technologies. Connectist: Istanbul University Journal of Communication Sciences, 66, 147-181. https://doi.org/10.26650/CONNECTIST2024-1441592 google scholar
28. van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3 google scholar
29. Wakefield, M. A., Loken, B., & Hornik, R. C. (2010). Use of mass media campaigns to change health behavior. The Lancet, 376(9748), 1261-1271. https://doi.org/10.1016/S0140-6736(10)60809-4 google scholar
30. Wondimagegn, D., Whitehead, C. R., Cartmill, C., Rodrigues, E., Correia, A., Lins, T. S., & Costa, M. J. (2023). Faster, higher, stronger – together? A bibliometric analysis of author distribution in top medical education journals. BMJ Global health, 2023;8:e011656. https://doi.org/10.1136/bmjgh-2022-011656 google scholar
31. Yang, K., Hu, Y., & Qi, H. (2022). Digital health literacy: Bibliometric analysis. J Med Internet Res., 24(7):e35816. https://doi.org/10.2196/35816 google scholar
32. Zhao, X. (2020). Health communication campaigns: A brief introduction and call for dialogue. Int J Nurs Sci, 7(sup1), 11-15. https://doi.org/10.1016/j.ijnss.2020.04.009 google scholar
33. Zhao, X., Alexander, T. N., Hoffman, L., Jones, C., Delahanty, J., Walker, M., … Berger, A. T. (2016). Youth receptivity to FDA’s the real cost tobacco prevention campaign: Evidence from message pretesting. Journal of Health Communication, 21(11), 1153-1160. https://doi.org/10.1080/10810730.2016.1233307 google scholar
34. Zupic, I., & Cater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629 google scholar