Published on in Vol 18, No 3 (2016): March

Internet Searching About Disease Elicits a Positive Perception of Own Health When Severity of Illness Is High: A Longitudinal Questionnaire Study

Internet Searching About Disease Elicits a Positive Perception of Own Health When Severity of Illness Is High: A Longitudinal Questionnaire Study

Internet Searching About Disease Elicits a Positive Perception of Own Health When Severity of Illness Is High: A Longitudinal Questionnaire Study

Authors of this article:

Kai Sassenberg1, 2 Author Orcid Image ;   Hannah Greving1 Author Orcid Image

Journals

  1. Schwendicke F, Stange J, Stange C, Graetz C. German dentists’ websites on periodontitis have low quality of information. BMC Medical Informatics and Decision Making 2017;17(1) View
  2. Sassenberg K. Digitale Medien als Informationsquelle über Umwelt und Gesundheit für Laien. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2017;60(6):649 View
  3. Al Bawab A, AlQahtani F, McElnay J. Health Care Apps Reported in Newspapers: Content Analysis. JMIR mHealth and uHealth 2018;6(10):e10237 View
  4. Becker D, Grapendorf J, Greving H, Sassenberg K. Perceived Threat and Internet Use Predict Intentions to Get Bowel Cancer Screening (Colonoscopy): Longitudinal Questionnaire Study. Journal of Medical Internet Research 2018;20(2):e46 View
  5. Sassenrath C, Greving H, Sassenberg K. Are you Concerned? Patient Testimonials in Medical Communication Affect Healthy Recipients' Emotions and Memory. Frontiers in Communication 2018;3 View
  6. Bizzi I, Ghezzi P, Paudyal P. Health information quality of websites on periodontology. Journal of Clinical Periodontology 2017;44(3):308 View
  7. An L, Wallner L, Kirch M. Online Social Engagement by Cancer Patients: A Clinic-Based Patient Survey. JMIR Cancer 2016;2(2):e10 View
  8. Zhang Y, Zhao Y, Lin X, Wang A, Che D. Modeling for the prediction of Hepatitis B incidence based on integrated online search indexes. Informatics in Medicine Unlocked 2018;10:143 View
  9. Seçkin G, Hughes S, Yeatts D, Degreve T. Digital Pathways to Positive Health Perceptions: Does Age Moderate the Relationship Between Medical Satisfaction and Positive Health Perceptions Among Middle-Aged and Older Internet Users?. Innovation in Aging 2019;3(1) View
  10. Sassenberg K, Scholl A. Linking regulatory focus and threat–challenge: transitions between and outcomes of four motivational states. European Review of Social Psychology 2019;30(1):174 View
  11. Zhang H, Zhang R, Lu X, Zhu X. Impact of Personal Trust Tendency on Patient Compliance Based on Internet Health Information Seeking. Telemedicine and e-Health 2020;26(3):294 View
  12. Fisch S, Neininger M, Prenzel F, Bernhard M, Hornemann F, Merkenschlager A, Kiess W, Bertsche T, Bertsche A. Experiences, expectations, and fears of adolescents with epilepsy or bronchial asthma. European Journal of Pediatrics 2018;177(10):1451 View
  13. Greving H, Sassenberg K. Threatened individuals prefer positive information during Internet search: An experimental laboratory study. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2018;12(1) View
  14. Palazzolo J. Le comportement d’automédication chez les plus de 65ans : une étude qualitative en médecine générale. NPG Neurologie - Psychiatrie - Gériatrie 2017;17(97):63 View
  15. Valizadeh-Haghi S, Rahmatizadeh S, Soleimaninejad A, Mousavi Shirazi S, Mollaei P. Are health websites credible enough for elderly self-education in the most prevalent elderly diseases?. BMC Medical Informatics and Decision Making 2021;21(1) View
  16. Cury D, Paez L, Micheletti A, Reis S. The Impact of Electronic Media on Patients with Inflammatory Bowel Disease. Risk Management and Healthcare Policy 2021;Volume 14:809 View
  17. Gao J. The complementary and substitutive value of online health information. Health & Social Care in the Community 2022;30(5) View
  18. Klimis H, Nothman J, Lu D, Sun C, Cheung N, Redfern J, Thiagalingam A, Chow C. Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis. JMIR mHealth and uHealth 2021;9(11):e27779 View
  19. Wedderhoff O, Chasiotis A, Rosman T. When freedom of choice leads to bias: How threat fosters selective exposure to health information. Frontiers in Psychology 2022;13 View
  20. Bautista J, Zhang Y, Gwizdka J, Chang Y. Consumers’ longitudinal health information needs and seeking: a scoping review. Health Promotion International 2023;38(4) View
  21. Brainin E, Neter E. Refined Analysis of Older eHealth Users From an Agency Perspective: Quantitative Telephone Interview Study. JMIR Aging 2023;6:e40004 View
  22. López Ramírez T. La investigación sobre el papel de las TIC en la obtención y recepción de contenidos de salud y salud mental: una revisión de la literatura. Revista de Comunicación y Salud 2023;14:1 View
  23. Lopez Ramírez T. Agenda para la construcción de los estudios de audiencias/usuarios y recepción en un contexto de digitalización, salud y postpandemia. Journal de Comunicación Social 2023;(17):97 View
  24. Zhang S, Song J. A chatbot based question and answer system for the auxiliary diagnosis of chronic diseases based on large language model. Scientific Reports 2024;14(1) View
  25. Makhoul M, Noureddine S, Huijer H, Bartley E, Booker S, Uthman I. Pain Self-Management in Individuals With Chronic Musculoskeletal Pain During Lebanon's Overlapping Crises. Pain Management Nursing 2024 View
  26. Wolfers L, Schneider F. Using Media for Coping: A Scoping Review. Communication Research 2021;48(8):1210 View

Books/Policy Documents

  1. Seçkin G, Hughes S, Hudson C, Laljer D, Yeatts D. eHealth: Current Evidence, Promises, Perils and Future Directions. View
  2. Kimmerle J, Bientzle M, Cress U, Flemming D, Greving H, Grapendorf J, Sassenrath C, Sassenberg K. Informational Environments. View
  3. Braga A. Digitale Transformation von Dienstleistungen im Gesundheitswesen I. View