Published on in Vol 18 , No 7 (2016) :July

Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users

Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users

Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users

Journals

  1. Masters K. Preparing medical students for the e-patient. Medical Teacher 2017;39(7):681 View
  2. Alam K, Mahumud R, Alam F, Keramat S, Erdiaw-Kwasie M, Sarker A. Determinants of access to eHealth services in regional Australia. International Journal of Medical Informatics 2019;131:103960 View
  3. Almenara C, Aimé A, Maïano C. Vinegar and weight loss in women of eighteenth-century France: a lesson from the past. History of Psychiatry 2020;31(2):232 View
  4. Torrent-Sellens J, Díaz-Chao Á, Soler-Ramos I, Saigí-Rubió F. Modeling and Predicting Outcomes of eHealth Usage by European Physicians: Multidimensional Approach from a Survey of 9196 General Practitioners. Journal of Medical Internet Research 2018;20(10):e279 View
  5. Del Hoyo J, Nos P, Faubel R, Bastida G, Muñoz D, Valero-Pérez E, Garrido-Marín A, Bella P, Peña B, Savini C, Aguas M. Adaptation of TECCU App Based on Patients´ Perceptions for the Telemonitoring of Inflammatory Bowel Disease: A Qualitative Study Using Focus Groups. International Journal of Environmental Research and Public Health 2020;17(6):1871 View
  6. Merkel S, Hess M. The Use of Internet-Based Health and Care Services by Elderly People in Europe and the Importance of the Country Context: Multilevel Study. JMIR Aging 2020;3(1):e15491 View
  7. Melchiorre M, Papa R, Quattrini S, Lamura G, Barbabella F. Integrated Care Programs for People with Multimorbidity in European Countries: eHealth Adoption in Health Systems. BioMed Research International 2020;2020:1 View
  8. Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866 View
  9. Almenara C, Machackova H, Smahel D. Sociodemographic, Attitudinal, and Behavioral Correlates of Using Nutrition, Weight Loss, and Fitness Websites: An Online Survey. Journal of Medical Internet Research 2019;21(4):e10189 View
  10. Frederix I, Caiani E, Dendale P, Anker S, Bax J, Böhm A, Cowie M, Crawford J, de Groot N, Dilaveris P, Hansen T, Koehler F, Krstačić G, Lambrinou E, Lancellotti P, Meier P, Neubeck L, Parati G, Piotrowicz E, Tubaro M, van der Velde E. ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine. European Journal of Preventive Cardiology 2019;26(11):1166 View
  11. Wynn R, Oyeyemi S, Budrionis A, Marco-Ruiz L, Yigzaw K, Bellika J. Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study. JMIR Medical Informatics 2020;8(3):e13106 View
  12. Wang J, Barth J, Göttgens I, Emchi K, Pach D, Oertelt-Prigione S. An opportunity for patient-centered care: Results from a secondary analysis of sex- and gender-based data in mobile health trials for chronic medical conditions. Maturitas 2020;138:1 View
  13. Novillo-Ortiz D, Hernández-Pérez T, Saigí-Rubió F. Availability of information in Public Health on the Internet: An analysis of national health authorities in the Spanish-speaking Latin American and Caribbean countries. International Journal of Medical Informatics 2017;100:46 View
  14. Lwin M, Panchapakesan C, Sheldenkar A, Calvert G, Lim L, Lu J. Determinants of eHealth Literacy among Adults in China. Journal of Health Communication 2020;25(5):385 View
  15. Hansson Vikström N, Wasteson E, Lindam A, Samuelsson E. Anxiety and depression in women with urinary incontinence using E-health. International Urogynecology Journal 2021;32(1):103 View
  16. Gabel P, Kirkegaard P, Larsen M, Edwards A, Andersen B. Developing a Self-Administered Decision Aid for Fecal Immunochemical Test–Based Colorectal Cancer Screening Tailored to Citizens With Lower Educational Attainment: Qualitative Study. JMIR Formative Research 2018;2(1):e9 View
  17. Carlsson T, Axelsson O. Patient Information Websites About Medically Induced Second-Trimester Abortions: A Descriptive Study of Quality, Suitability, and Issues. Journal of Medical Internet Research 2017;19(1):e8 View
  18. Van Riel N, Auwerx K, Debbaut P, Van Hees S, Schoenmakers B. The effect of Dr Google on doctor–patient encounters in primary care: a quantitative, observational, cross-sectional study. BJGP Open 2017;1(2):bjgpopen17X100833 View
  19. Kalayou M, Endehabtu B, Tilahun B. <p>The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings</p>. Journal of Multidisciplinary Healthcare 2020;Volume 13:1827 View
  20. Rauschenberg C, Schick A, Hirjak D, Seidler A, Paetzold I, Apfelbacher C, Riedel-Heller S, Reininghaus U. Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review. Journal of Medical Internet Research 2021;23(3):e23365 View
  21. Torrent-Sellens J, Salazar-Concha C, Ficapal-Cusí P, Saigí-Rubió F. Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain. International Journal of Environmental Research and Public Health 2021;18(8):4270 View
  22. Louis J, Reyes M. Cognitive self-compassion (CSC) online intervention to enhance self-esteem of adolescents exposed to parental intimate partner violence in India. Journal of Family Trauma, Child Custody & Child Development 2023:1 View
  23. Brouwers R, Brini A, Kuijpers R, Kraal J, Kemps H. Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis. European Heart Journal - Digital Health 2022;3(1):81 View
  24. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  25. Krijnen-de Bruin E, Muntingh A, Bourguignon E, Hoogendoorn A, Maarsingh O, van Balkom A, Batelaan N, van Straten A, van Meijel B. Usage Intensity of a Relapse Prevention Program and Its Relation to Symptom Severity in Remitted Patients With Anxiety and Depression: Pre-Post Study. JMIR Mental Health 2022;9(3):e25441 View
  26. Lu Z, Shi L, Que J, Zheng Y, Wang Q, Liu W, Huang Y, Liu X, Yuan K, Yan W, Shi J, Bao Y, Lu L. Accessibility to Digital Mental Health Services among the General Public throughout COVID-19: Trajectories, Influencing Factors and Association with Long-Term Mental Health Symptoms. International Journal of Environmental Research and Public Health 2022;19(6):3593 View
  27. Louis J, Reyes M. Cognitive Self- Compassion (CSC) Online Intervention Program: A Pilot Study to Enhance the Self-Esteem of Adolescents Exposed to Parental Intimate Partner Violence. Clinical Child Psychology and Psychiatry 2023:135910452311690 View
  28. Kyytsönen M, Vehko T, Anttila H, Ikonen J, Lai Y. Factors associated with use of wearable technology to support activity, well-being, or a healthy lifestyle in the adult population and among older adults. PLOS Digital Health 2023;2(5):e0000245 View

Books/Policy Documents

  1. Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. View