Determining Acceptance of e-Mental Health Interventions in Digital Psychodiabetology Using a Quantitative Web-Based Survey: Cross-sectional Study

Journals

1. Jahedi F, Fay Henman P, Ryan J. Personalization in Digital Psychological Interventions for Young Adults. International Journal of Human–Computer Interaction 2024;40(9):2254 View
2. Bäuerle A, Frewer A, Rentrop V, Schüren L, Niedergethmann M, Lortz J, Skoda E, Teufel M. Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model. Nutrients 2022;14(9):1968 View
3. Stoppok P, Teufel M, Jahre L, Rometsch C, Müßgens D, Bingel U, Skoda E, Bäuerle A. Determining the Influencing Factors on Acceptance of eHealth Pain Management Interventions Among Patients With Chronic Pain Using the Unified Theory of Acceptance and Use of Technology: Cross-sectional Study. JMIR Formative Research 2022;6(8):e37682 View
4. Bäuerle A, Jahre L, Teufel M, Jansen C, Musche V, Schweda A, Fink M, Dinse H, Weismüller B, Dörrie N, Junne F, Graf J, Skoda E. Evaluation of the E-Mental Health Mindfulness-Based and Skills-Based “CoPE It” Intervention to Reduce Psychological Distress in Times of COVID-19: Results of a Bicentre Longitudinal Study. Frontiers in Psychiatry 2021;12 View
5. Drissi N, Ouhbi S, Serhani M, Marques G, de la Torre Díez I. Connected Mental Health Solutions: Global Attitudes, Preferences, and Concerns. Telemedicine and e-Health 2023;29(3):315 View
6. Esber A, Teufel M, Jahre L, in der Schmitten J, Skoda E, Bäuerle A. Predictors of patients’ acceptance of video consultation in general practice during the coronavirus disease 2019 pandemic applying the unified theory of acceptance and use of technology model. DIGITAL HEALTH 2023;9:205520762211493 View
7. Bäuerle A, Mallien C, Rassaf T, Jahre L, Rammos C, Skoda E, Teufel M, Lortz J. Determining the Acceptance of Digital Cardiac Rehabilitation and Its Influencing Factors among Patients Affected by Cardiac Diseases. Journal of Cardiovascular Development and Disease 2023;10(4):174 View
8. Racey M, Whitmore C, Alliston P, Cafazzo J, Crawford A, Castle D, Dragonetti R, Fitzpatrick-Lewis D, Jovkovic M, Melamed O, Naeem F, Senior P, Strudwick G, Ramdass S, Vien V, Selby P, Sherifali D. Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review. JMIR Diabetes 2023;8:e44652 View
9. Ahuna J, Becker K, Chorpita B. Predicting Therapists’ Intentions to Use Innovations: Comparing the Role of Individual, Organizational, and Innovation Characteristics. Administration and Policy in Mental Health and Mental Health Services Research 2023;50(6):946 View
10. Virtanen L, Kaihlanen A, Kainiemi E, Saukkonen P, Heponiemi T. Patterns of acceptance and use of digital health services among the persistent frequent attenders of outpatient care: A qualitatively driven multimethod analysis. DIGITAL HEALTH 2023;9:205520762311784 View
11. Geiger S, Steinbach J, Skoda E, Jahre L, Rentrop V, Kocol D, Jansen C, Schüren L, Niedergethmann M, Teufel M, Bäuerle A. Needs and Demands for e-Mental Health Interventions in Individuals with Overweight and Obesity: User-Centred Design Approach. Obesity Facts 2023;16(2):173 View
12. Jahre L, Lortz J, Rassaf T, Rammos C, Mallien C, Skoda E, Teufel M, Bäuerle A. Needs and demands for mHealth cardiac health promotion among individuals with cardiac diseases: a patient-centred design approach. European Heart Journal - Digital Health 2023;4(5):393 View
13. Schröder J, Bäuerle A, Jahre L, Skoda E, Stettner M, Kleinschnitz C, Teufel M, Dinse H. Acceptance, drivers, and barriers to use eHealth interventions in patients with post-COVID-19 syndrome for management of post-COVID-19 symptoms: a cross-sectional study. Therapeutic Advances in Neurological Disorders 2023;16:175628642311757 View
14. Schröder S, Buntrock C, Neumann L, Müller J, Fromberger P. Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study. JMIR Formative Research 2024;8:e48880 View
15. Aboagye R, Amu H, Dowou R, Bansah P, Oaikhena I, Bain L, Spradley F. Prevalence and correlates of tetanus toxoid uptake among women in sub-Saharan Africa: Multilevel analysis of demographic and health survey data. PLOS ONE 2023;18(12):e0296174 View
16. Nurtsch A, Teufel M, Jahre L, Esber A, Rausch R, Tewes M, Schöbel C, Palm S, Schuler M, Schadendorf D, Skoda E, Bäuerle A. Drivers and barriers of patients’ acceptance of video consultation in cancer care. DIGITAL HEALTH 2024;10 View
17. Ochnik D, Cholewa-Wiktor M, Jakubiak M, Pataj M. eHealth tools use and mental health: a cross-sectional network analysis in a representative sample. Scientific Reports 2024;14(1) View
18. Jansen C, Bäuerle A, Jahre L, Kocol D, Krakowczyk J, Geiger S, Dörrie N, Skoda E, Teufel M. Needs and Demands for e-Health Interventions in Patients Attending a Psychosomatic Outpatient Clinic: A Baseline Assessment for a User-Centered Design Approach. Telemedicine and e-Health 2024;30(6):e1747 View
19. Staeck R, Stüble M, Drüge M. Exploring subgroups of acceptance prediction for e-mental health among psychotherapists-in-training: a latent class analysis. Frontiers in Psychiatry 2024;15 View
20. Abuyadek R, Hammouda E, Elrewany E, Elmalawany D, Ashmawy R, Zeina S, Gebreal A, Ghazy R. Acceptability of Tele-mental Health Services Among Users: A Systematic Review and Meta-analysis. BMC Public Health 2024;24(1) View
21. Schröder J, Dinse H, Maria Jahre L, Skoda E, Stettner M, Kleinschnitz C, Teufel M, Bäuerle A. Needs and Demands for e-Health Symptom Management Interventions in Patients with Post-COVID-19 Condition: A User-Centered Design Approach. Telemedicine and e-Health 2024 View
22. Zhang M, Cai A, Jin K, Huang J, Li D, He M, Gao R. Scientific epistemology beliefs and acceptance of Traditional Chinese Medicine: A multigroup analysis based on the UTAUT model in Southern China. Heliyon 2024;10(12):e33136 View