Published on in Vol 18, No 12 (2016): December

Drivers and Barriers to Acceptance of Web-Based Aftercare of Patients in Inpatient Routine Care: A Cross-Sectional Survey

Drivers and Barriers to Acceptance of Web-Based Aftercare of Patients in Inpatient Routine Care: A Cross-Sectional Survey

Drivers and Barriers to Acceptance of Web-Based Aftercare of Patients in Inpatient Routine Care: A Cross-Sectional Survey

Journals

  1. den Bakker C, Huirne J, Schaafsma F, de Geus C, Bonjer H, Anema J. Electronic Health Program to Empower Patients in Returning to Normal Activities After Colorectal Surgical Procedures: Mixed-Methods Process Evaluation Alongside a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(1):e10674 View
  2. Sotirova M, McCaughan E, Ramsey L, Flannagan C, Kerr D, O’Connor S, Blackburn N, Wilson I. Acceptability of online exercise-based interventions after breast cancer surgery: systematic review and narrative synthesis. Journal of Cancer Survivorship 2021;15(2):281 View
  3. Hennemann S, Farnsteiner S, Sander L. Internet- and mobile-based aftercare and relapse prevention in mental disorders: A systematic review and recommendations for future research. Internet Interventions 2018;14:1 View
  4. Dülsen P, Bendig E, Küchler A, Christensen H, Baumeister H. Digital interventions in adult mental healthcare settings: recent evidence and future directions. Current Opinion in Psychiatry 2020;33(4):422 View
  5. Griebel L, Enwald H, Gilstad H, Pohl A, Moreland J, Sedlmayr M. eHealth literacy research—Quo vadis?. Informatics for Health and Social Care 2018;43(4):427 View
  6. Owens O, Wooten N, Tavakoli A. Development and initial psychometric evaluation of the computer-based prostate Cancer screening decision aid acceptance scale for African-American men. BMC Medical Research Methodology 2019;19(1) View
  7. Apolinário-Hagen J, Fritsche L, Bierhals C, Salewski C. Improving attitudes toward e-mental health services in the general population via psychoeducational information material: A randomized controlled trial. Internet Interventions 2018;12:141 View
  8. Levin M, Krafft J, Levin C. Does self-help increase rates of help seeking for student mental health problems by minimizing stigma as a barrier?. Journal of American College Health 2018;66(4):302 View
  9. Koivumäki T, Pekkarinen S, Lappi M, Väisänen J, Juntunen J, Pikkarainen M. Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study. Journal of Medical Internet Research 2017;19(12):e429 View
  10. Tibubos A, Zwerenz R, Brähler E, Beutel M. Persönlichkeitsdiagnostik in der Online-Psychotherapieforschung. Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 2018;66(3):169 View
  11. Hennemann S, Witthöft M, Bethge M, Spanier K, Beutel M, Zwerenz R. Acceptance and barriers to access of occupational e-mental health: cross-sectional findings from a health-risk population of employees. International Archives of Occupational and Environmental Health 2018;91(3):305 View
  12. Lin J, Faust B, Ebert D, Krämer L, Baumeister H. A Web-Based Acceptance-Facilitating Intervention for Identifying Patients' Acceptance, Uptake, and Adherence of Internet- and Mobile-Based Pain Interventions: Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(8):e244 View
  13. Liu S, Zhang R, Lu X. The Impact of Individuals' Attitudes Toward Health Websites on Their Perceived Quality of Health Information: An Empirical Study. Telemedicine and e-Health 2019;25(11):1099 View
  14. 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
  15. Cornejo Müller A, Wachtler B, Lampert T. Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):185 View
  16. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  17. Rodriguez Hermosa J, Fuster Gomila A, Puente Maestu L, Amado Diago C, Callejas González F, Malo De Molina Ruiz R, Fuentes Ferrer M, Álvarez Sala-Walther J, Calle Rubio M. Compliance and Utility of a Smartphone App for the Detection of Exacerbations in Patients With Chronic Obstructive Pulmonary Disease: Cohort Study. JMIR mHealth and uHealth 2020;8(3):e15699 View
  18. Schuster R, Pokorny R, Berger T, Topooco N, Laireiter A. The Advantages and Disadvantages of Online and Blended Therapy: Survey Study Amongst Licensed Psychotherapists in Austria. Journal of Medical Internet Research 2018;20(12):e11007 View
  19. Zwerenz R, Baumgarten C, Becker J, Tibubos A, Siepmann M, Knickenberg R, Beutel M. Improving the Course of Depressive Symptoms After Inpatient Psychotherapy Using Adjunct Web-Based Self-Help: Follow-Up Results of a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(10):e13655 View
  20. Harst L, Lantzsch H, Scheibe M. Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review. Journal of Medical Internet Research 2019;21(5):e13117 View
  21. Casas J, Céspedes N, Cifuentes C, Gutierrez L, Rincón-Roncancio M, Múnera M. Expectation vs. Reality: Attitudes Towards a Socially Assistive Robot in Cardiac Rehabilitation. Applied Sciences 2019;9(21):4651 View
  22. Apolinário-Hagen J, Harrer M, Kählke F, Fritsche L, Salewski C, Ebert D. Public Attitudes Toward Guided Internet-Based Therapies: Web-Based Survey Study. JMIR Mental Health 2018;5(2):e10735 View
  23. Meisel S, Drury H, Perera-Delcourt R. Therapists’ attitudes to offering eCBT in an inner-city IAPT service: a survey study. The Cognitive Behaviour Therapist 2018;11 View
  24. Apolinário-Hagen J, Menzel M, Hennemann S, Salewski C. Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study. JMIR Formative Research 2018;2(2):e11977 View
  25. Nesvåg S, McKay J. Feasibility and Effects of Digital Interventions to Support People in Recovery From Substance Use Disorders: Systematic Review. Journal of Medical Internet Research 2018;20(8):e255 View
  26. Lee K, Fields N, Cassidy J, Feinhals G. Process and outcomes of telephone reassurance program training for older adult volunteers. Educational Gerontology 2021;47(1):36 View
  27. Serrano K, Mendes G, Lizarelli F, Ganga G. Assessing the telemedicine acceptance for adults in Brazil. International Journal of Health Care Quality Assurance 2020;34(1):35 View
  28. Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health & Care Informatics 2021;28(1):e100293 View
  29. O'Connor S, Flannagan C, Parahoo K, Steele M, Thompson S, Jain S, Kirby M, Brady N, Maguire R, Connaghan J, McCaughan E. Efficacy, usage and acceptability of an online self-management intervention designed to maximise sexual wellbeing in men living with prostate cancer: a single-arm study (Preprint). Journal of Medical Internet Research 2020 View
  30. Breil B, Dederichs M, Kremer L, Richter D, Angerer P, Apolinário-Hagen J. Bekanntheit und Nutzung von digitalen Gesundheitsangeboten in Deutschland: eine bevölkerungsrepräsentative Querschnittsuntersuchung. Das Gesundheitswesen 2021 View
  31. Damerau M, Teufel M, Musche V, Kohler H, Schweda A, Beckord J, Steinbach J, Schmidt K, Skoda E, Bäuerle A. Determining Acceptance of e-mental Health Interventions in Digital Psychodiabetology: A Quantitative online Survey using the Unified Theory of Acceptance and Use of Technology (Preprint). JMIR Formative Research 2021 View

Books/Policy Documents

  1. Apolinário-Hagen J, Fritsche L, Albers L, Salewski C. Treatment Resistance in Psychiatry. View
  2. Farin-Glattacker E, Schmidt E, Spohn L. Digitale Transformation von Dienstleistungen im Gesundheitswesen V. View
  3. Apolinário-Hagen J, Salewski C. Understanding Depression. View
  4. Kremer L, Sen S, Eigenstetter M. Human-Computer Interaction. Multimodal and Natural Interaction. View