The Relationship between the Perception of Health News and Infodemic in Adults with Chronic Diseases

Abstract

Aim: This study examined the relationship between the perception of health news and infodemic in adults with chronic diseases. 
Method: The study was a descriptive and correlational design. The population consisted of adults with chronic illnesses, and a total of 332 participants were included in the study. Data were collected using the Descriptive Information Form, the Perception of Health News Scale, and the Infodemic Scale. Numbers, percentages, means, standard deviations, and Pearson correlation analysis were used to analyze the data. 
Results: Of the participants, 59.3% were female, and the mean age was 55.05±13.42 years. The mean score on the Perception of Health News Scale was 80.67±11.35, while the mean score on the Infodemic Scale was 52.86±6.43. A statistically significant relationship was found between perception of health news and infodemic scores (p = 0.001), indicating that as participants’ perception of health news increased, their infodemic levels also increased. The perception of health news scores accounted for 2.8% of the variance in infodemic scores. 
Conclusion: The results demonstrated a relationship between participants’ perception of health news and the infodemic. Individuals with chronic diseases should be educated on how to assess the reliability of information sources and avoid health news from unverified origins critically.

Keywords

• Health news
• infodemic
• chronic patients
• access to health information

Kronik Hastalığı Olan Yetişkinlerde Sağlık Haber Algısı ve İnfodemi İlişkisi

Abstract

Amaç: Bu çalışmada amaç, kronik hastalığı olan yetişkinlerde sağlık haber algısı ve infodemi arasındaki ilişkiyi değerlendirmektir.
Yöntem: Çalışma tanımlayıcı ve ilişki arayıcı türdedir. Çalışmanın evrenini yetişkin kronik hastalar oluşturmaktadır. Çalışma kapsamında 332 katılımcıya ulaşılmıştır. Çalışmada veri toplama aracı olarak Tanıtıcı Bilgi Formu, Sağlık Haberleri Algısı Ölçeği, İnfodemi Ölçeği kullanılmıştır. Çalışma verilerinin analizinde sayılar, yüzdelikler, ortalama, standart sapma ve pearson korelasyon analizi kullanılmıştır.
Bulgular: Çalışmaya göre katılımcıların %59,3’ü kadın ve yaş ortalaması 55,05±13,42’dir. Katılımcıların sağlık haber algısı ölçek puanı 80,67±11,35, infodemi ölçek puanı 52,86±6,43’dür.  Katılımcıların sağlık haber algısı puanı arttıkça infodemi puanı artmaktadır. Sağlık haber algısı puanı ile infodemi puanı arasında anlamlı bir ilişki bulunmuştur (p=0,001). Sağlık haber algısı puanı, infodemi puanındaki değişimin %2,8’ini açıklamaktadır. 
Sonuç: Çalışma sonuçları, katılımcıların sağlık haber algısı ve infodemi arasında ilişki olduğunu göstermiştir. Kronik hastalığı olan bireyler, bilgi kaynaklarının güvenilirliğini nasıl değerlendirecekleri ve kaynağı doğrulanmamış sağlık haberlerinden nasıl kaçınacakları konusunda eğitilmelidir.

Keywords

• Sağlık haberleri
• infodemi
• kronik hastalar
• sağlık bilgisine erişim

References

1. 1. Murphy SL, Kochanek KD, Xu J, Arias E. Mortality in the United States, 2020. NCHS Data Brief No. 427. Hyattsville (MD): National Center for Health Statistics; 2021.
2. 2. Hacker K. The burden of chronic disease. Mayo Clinic Proceedings: Innovations, Quality & Outcomes. 2024;8(1):112-119. doi: 10.1016/j.mayocpiqo.2023.08.005.
3. 3. Jeong S, Barrett T, Ohr SO, Cleasby P, Davey R, David M. Prevalence of advance care planning practices among people with chronic diseases in hospital and community settings: A retrospective medical record audit. BMC Health Services Research. 2021;21:1-8.
4. 4. Li C, Wang H, Yuan J, et al. Current status of older people with chronic diseases adopting digital health technologies: A scoping review. Digital Health. 2025;11:20552076251348578. doi: 10.1177/205520762513485.
5. 5. Lin Y, Chen M, Lee S Y, et al. Understanding the effects of news-finds-me perception on health knowledge and information seeking during public health crises. Health Communication. 2024;39(2):352-362. doi: 10.1080/10410236.2023.2165750.
6. 6. Şükran K. Investigating the effect of perception toward health news on healthy living awareness. Istanbul University Journal of Sociology. 2021;41(2):289-318.
7. 7. Wu M, Wang W, He H, Bao L, Lv P. Mediating effects of health literacy, self-efficacy, and social support on the relationship between disease knowledge and patient participation behavior among chronically ill patients: A cross-sectional study based on the capability model mediating effect. Patient Prefer Adherence. 2025;19:1337–1350.
8. 8. Gil de Zúñiga H, Weeks B, Ardèvol-Abreu A. Effects of the news-finds-me perception in communication: Social media use implications for news seeking and learning about politics. Journal of Computer-Mediated Communication. 2017;22(3):105–123.

9. 9. Rodrigues F, Newell R, Babu GR, Chatterjee T, Sandhu NK, Gupta L. The social media infodemic of health-related misinformation and technical solutions. Health Policy and Technology. 2024;100846. doi: 10.1016/j.hlpt.2024.100846.
10. 10. Yesilaydin G, Donar GB. Evaluation of ındividuals’ perception of health news in the period of covıd-19 pandemic. Journal of Health Management. 2022;24(4):644-651.
11. 11. Hendekci A, Sarıoğlu Kemer A. Development and validation of the infodemic scale. Informatics for Health and Social Care. 2024;1–9. doi: 10.1080/17538157.2024.2398996.
12. 12. Rocha YM, De Moura GA, Desidéri, GA, De Oliveira CH, Lourenço FD, de Figueiredo Nicolete LD. The impact of fake news on social media and its influence on health during the COVID-19 pandemic: A systematic review. Journal of Public Health. 2021;1-10.
13. 13. Simon FM, Camargo CQ. Infodemic. Cheltenham, UK: Edward Elgar Publishing; 2024.
14. 14. Vu HT, Chen Y. What influences audience susceptibility to fake health news: An experimental study using a dual model of information processing in credibility assessment. Health Communication. 2024;39(6):1113-1126. doi: 10.1080/10410236.2023.2206177.
15. 15. Zhao YC, Zhao M, Song S. Online health information seeking among patients with chronic conditions: Integrating the health belief model and social support theory. Journal of Medical Internet Research. 2022;24(11):e42447. doi: 10.2196/42447.
16. 16. Çınar F, Şengül H, Çapar H, Çakmak C, Bilge Y. Perception of health news: A scale development study. Journal of Academic Research in Nursing. 2018;4(3):164-171.
17. 17. Schöngut-Grollmus N, Energici MA, Zuñiga N. COVID-19 and dispositions of the chilean healthcare system: sociomedical networks in care decisions of chronic ıllnesses. Frontiers in Sociology. 2021;6:1–12. doi: 10.3389/fsoc.2021.666758.
18. 18. Kitamura ES, Faria LRD, Cavalcante RB, Leite ICG. Depression and generalized anxiety disorder in older adults by the COVID-19 infodemic. Acta Paulista de Enfermagem. 2022;35:eAPE03177. doi: 10.37689/ACTA-APE/2022AO03177.
19. 19. Holden ACL, Nanayakkara S, Skinner J, Spallek H, Sohn W. What do Australian health consumers believe about commercial advertisements and testimonials? A survey on health service advertising. BMC Public Health. 2021;21:1-12.
20. 20. Gounder F. Suva residents’ views on cancer, diabetes and hıv in the fiji times. The Journal of Pacific Studies. 2020;40(1):81–101. doi: 10.33318/jpacs.2020.40(1)-4.
21. 21. Birsen Ö, Öztürk ŞY. Health news from the perspective of consumption culture. Journal of Academic Overview. 2016;26:1–21.
22. 22. Bou-Karroum L, El-Jardali F, Hemadi N, et al. Using media to impact health policy-making: An integrative systematic review. Implementation Science. 2017;12:1-14.
23. 23. Han W, Park J. Lee H. Effect of exposure to COVID-19 infodemic on infection-preventive intentions among Korean adults. Nursing Open. 2022;9:2665–2674.
24. 24. Wilhelm E, Ballalai I, Belanger ME, et al. Measuring the burden of infodemics: Summary of the methods and results of the Fifth WHO Infodemic Management Conference. JMIR Infodemiology. 2023; 3(1):e44207. doi: 10.2196/44207.
25. 25. Pezeshki MZ, Janati A, Arab-Zozani M. Medical overuse in the Iranian healthcare system: A systematic scoping review and practical recommendations for decreasing medical overuse during unexpected COVID-19 pandemic opportunity. Risk Management and Healthcare Policy. 2020;1103-1110. doi: 10.2147/RMHP.S262908.
26. 26. Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research. 2013;15(4):e1933.
27. 27. Goldwire MA, Johnson ST, Abdalla M, et al. Medical misinformation: A primer and recommendations for pharmacists. Journal of the American College of Clinical Pharmacy. 2023;6(5):497-511. doi: 10.14710/jiip.v6i1.10372.
28. 28. Ahmed FM, Atia NS. Health-related ınfodemic perception among nursing and non-nursing students: A comparative study. Tanta Scientific Nursing Journal. 2023;30(3):94–108.
29. 29. Jin Q, Raza SH, Yousaf M, et al. A. Assessing how risk communication surveillance prompts COVID-19 vaccine acceptance among internet users by applying the situational theory of problem solving: Cross-sectional study. JMIR Formative Research. 2023;7:e43628. doi: 10.2196/43628.
30. 30. Çağlayan S, Taşoğlu NP. The importance of infodemic literacy and an argumentative approach on its role in outbreak communıcation management. Journal of Dokuz Eylul University Graduate School of Social Sciences. 2024;26(4):1597–1645.