This paper is in the following e-collection/theme issue:

Demographics of Users, Social & Digital Divide (756) E-Health / Health Services Research and New Models of Care (538)

Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12416, first published .
Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study

Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study

Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study

Authors of this article:

Georgios Paslakis1, 2 Author Orcid Image ;   Josefine Fischer-Jacobs3 Author Orcid Image ;   Lars Pape4, 5 Author Orcid Image ;   Mario Schiffer6, 7 Author Orcid Image ;   Raoul Gertges5 Author Orcid Image ;   Uwe Tegtbur5, 8 Author Orcid Image ;   Tanja Zimmermann3 Author Orcid Image ;   Mariel Nöhre3, 5 Author Orcid Image ;   Martina de Zwaan3, 5 Author Orcid Image
Article Authors Cited by (18) Tweetations (6) Metrics

Journals

  1. Lopez-Castroman J, Abad-Tortosa D, Cobo Aguilera A, Courtet P, Barrigón M, Artés A, Baca-García E. Psychiatric Profiles of eHealth Users Evaluated Using Data Mining Techniques: Cohort Study. JMIR Mental Health 2021;8(1):e17116 View
  2. 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
  3. Paslakis G, Richardson C, Nöhre M, Brähler E, Holzapfel C, Hilbert A, de Zwaan M. Prevalence and psychopathology of vegetarians and vegans – Results from a representative survey in Germany. Scientific Reports 2020;10(1) View
  4. Grilo C. Smartphone-Assisted Delivery of Cognitive-Behavioral Guided Self-Help for Binge Eating: Cautionary Musings of Implications Given the Importance of Comparison Groups. American Journal of Psychiatry 2020;177(2):110 View
  5. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373 View
  6. Ahmadiankalati M, Steins-Loeber S, Paslakis G. Review of Randomized Controlled Trials Using e-Health Interventions for Patients With Eating Disorders. Frontiers in Psychiatry 2020;11 View
  7. Renfrew M, Morton D, Morton J, Hinze J, Przybylko G, Craig B. The Influence of Three Modes of Human Support on Attrition and Adherence to a Web- and Mobile App–Based Mental Health Promotion Intervention in a Nonclinical Cohort: Randomized Comparative Study. Journal of Medical Internet Research 2020;22(9):e19945 View
  8. Duettmann W, Naik M, Zukunft B, Osmonodja B, Bachmann F, Choi M, Roller R, Mayrdorfer M, Halleck F, Schmidt D, Budde K. eHealth in transplantation. Transplant International 2021;34(1):16 View
  9. Hanke A, Sundermeier T, Boeck H, Schieffer E, Boyen J, Braun A, Rolff S, Stein L, Kück M, Schiffer M, Pape L, Zwaan M, Haufe S, Kerling A, Tegtbur U, Nöhre M. Influence of Officially Ordered Restrictions during the First Wave of COVID-19 Pandemic on Physical Activity and Quality of Life in Patients after Kidney Transplantation in a Telemedicine Based Aftercare Program—A KTx360° Sub Study. International Journal of Environmental Research and Public Health 2020;17(23):9144 View
  10. Schiffer L, Gertges R, Nöhre M, Schieffer E, Tegtbur U, Pape L, de Zwaan M, Schiffer M. Use and preferences regarding internet-based health care delivery in patients with chronic kidney disease. BMC Medical Informatics and Decision Making 2021;21(1) View
  11. Westenberger A, Nöhre M, Brähler E, Morfeld M, de Zwaan M. Psychometric properties, factor structure, and German population norms of the multidimensional fatigue inventory (MFI-20). Frontiers in Psychiatry 2022;13 View
  12. Korn S, Böttcher M, Busse T, Kernebeck S, Breucha M, Ehlers J, Kahlert C, Weitz J, Bork U. Use and Perception of Digital Health Technologies by Surgical Patients in Germany in the Pre–COVID-19 Era: Survey Study. JMIR Formative Research 2022;6(5):e33985 View
  13. Allison C, Prucka S, Fitzgerald-Butt S, Helm B, Lah M, Wetherill L, Baud R. Comparison of willingness and preference for genetic counseling via telemedicine: before vs. during the COVID-19 pandemic. Journal of Community Genetics 2022;13(4):449 View
  14. Vowels L, Sever Z. Are Digital Interventions the Next Frontier in Sex Therapy? A Mixed Methods Study Examining Attitudes toward Digital Sex Therapy. Journal of Sex & Marital Therapy 2023;49(8):1043 View
  15. Li X, Zhang S, Song X, Shen C. The impact of Internet use and involvement on residents’ attitudes to healthcare in China: A propensity score matching analysis. PLOS ONE 2024;19(8):e0305664 View
  16. Li W, Guo J, Liu W, Tu J, Tang Q. Effect of older adults willingness on telemedicine usage: an integrated approach based on technology acceptance and decomposed theory of planned behavior model. BMC Geriatrics 2024;24(1) View

Books/Policy Documents

  1. Chowdhury A, Hafeez-Baig A, Gururajan R. Human Interface and the Management of Information. Information-Rich and Intelligent Environments. View
  2. . The Online Healthcare Community. View