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, Use, and Acceptability of a Web-Based Self-management Intervention Designed to Maximize Sexual Well-being in Men Living With Prostate Cancer: Single-Arm Experimental Study. Journal of Medical Internet Research 2021;23(7):e21502 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;83(12):1019 View
  31. Damerau M, Teufel M, Musche V, Dinse H, Schweda A, Beckord J, Steinbach J, Schmidt K, Skoda E, Bäuerle A. Determining Acceptance of e-Mental Health Interventions in Digital Psychodiabetology Using a Quantitative Web-Based Survey: Cross-sectional Study. JMIR Formative Research 2021;5(7):e27436 View
  32. Harst L, Wollschlaeger B, Birnstein J, Fuchs T, Timpel P. Evaluation is Key: Providing Appropriate Evaluation Measures for Participatory and User-Centred Design Processes of Healthcare IT. International Journal of Integrated Care 2021;21(2) View
  33. Boyce L, Harun A, Prybutok G, Prybutok V. Exploring the factors in information seeking behavior: a perspective from multinational COPD online forums. Health Promotion International 2022;37(2) View
  34. Sora B, Nieto R, Montesano del Campo A, Armayones M. Acceptance and Use of Telepsychology From the Clients’ Perspective: Questionnaire Study to Document Perceived Advantages and Barriers. JMIR Mental Health 2021;8(10):e22199 View
  35. 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
  36. Kistner S, Kramer D. Erste Erfahrungen mit einer Selbstmanagement-App in der stationären Suchtbehandlung. SUCHT 2022;68(6):322 View
  37. 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
  38. Kreis A, Becker J, Beutel M, Zwerenz R. Einfluss akzeptanzfördernder Interventionen auf die Nutzung einer Online-Selbsthilfe. Psychotherapeut 2021;66(5):406 View
  39. Cheng C, Ebrahimi O. A meta-analytic review of gamified interventions in mental health enhancement. Computers in Human Behavior 2023;141:107621 View
  40. Crouch J, Winters K, Zhang L, Stewart M. Telehealth during the pandemic: Patient perceptions and policy implications. Journal of Nursing Scholarship 2023;55(1):141 View
  41. Bruhns A, Baumeister A, Demeroutis G, Jahn H, Willenborg B, Shaffy A, Moritz S, Bücker L. A mobile-based aftercare intervention to increase self-esteem in inpatients diagnosed with depression: A randomized controlled trial. Psychotherapy Research 2023;33(6):783 View
  42. Philippi P, Baumeister H, Apolinário-Hagen J, Ebert D, Hennemann S, Kott L, Lin J, Messner E, Terhorst Y. Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology. Internet Interventions 2021;26:100459 View
  43. Braun P, Drüge M, Hennemann S, Nitsch F, Staeck R, Apolinário-Hagen J. Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey. Frontiers in Digital Health 2022;4 View
  44. Calegari L, Tortorella G, Fettermann D. Getting Connected to M-Health Technologies through a Meta-Analysis. International Journal of Environmental Research and Public Health 2023;20(5):4369 View
  45. Rentrop V, Damerau M, Schweda A, Steinbach J, Schüren L, Niedergethmann M, Skoda E, Teufel M, Bäuerle A. Predicting Acceptance of e–Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study. JMIR Formative Research 2022;6(3):e31229 View
  46. Kerwagen F, Fuchs K, Ullrich M, Schulze A, Straka S, Krop P, Latoschik M, Gilbert F, Kunz A, Fette G, Störk S, Ertl M. Usability of a mHealth Solution using Speech Recognition for Point-of-care Diagnostic Management. Journal of Medical Systems 2023;47(1) View
  47. Netter A, Beintner I, Brakemeier E. Adding an App-Based Intervention to the Cognitive Behavioral Analysis System of Psychotherapy in Routine Outpatient Psychotherapy Treatment: Proof-of-Concept Study. JMIR Formative Research 2022;6(8):e35482 View
  48. Apolinário-Hagen J, Fritsche L, Wopperer J, Wals F, Harrer M, Lehr D, Ebert D, Salewski C. Investigating the Persuasive Effects of Testimonials on the Acceptance of Digital Stress Management Trainings Among University Students and Underlying Mechanisms: A Randomized Controlled Trial. Frontiers in Psychology 2021;12 View
  49. Romero D, Johansson M, Hermansson U, Lindner P. Impact of Users' Attitudes Toward Anonymous Internet Interventions for Cannabis vs. Alcohol Use: A Secondary Analysis of Data From Two Clinical Trials. Frontiers in Psychiatry 2021;12 View
  50. Staeck R, Drüge M, Albisser S, Watzke B. Acceptance of E-mental health interventions and its determinants among psychotherapists-in-training during the first phase of COVID-19. Internet Interventions 2022;29:100555 View
  51. Breil B, Salewski C, Apolinário-Hagen J. Comparing the Acceptance of Mobile Hypertension Apps for Disease Management Among Patients Versus Clinical Use Among Physicians: Cross-sectional Survey. JMIR Cardio 2022;6(1):e31617 View
  52. Wilson H, Hayward P, Donkin L. Will they or won't they? Understanding New Zealand adults' attitudes towards using digital interventions. Frontiers in Digital Health 2023;5 View
  53. Calegari L, R.D. B, Fettermann D. A meta-analysis of a comprehensive m-health technology acceptance. International Journal of Lean Six Sigma 2024;15(1):1 View
  54. 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
  55. 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
  56. Brunet J, Sharma S, Price J, Black M. Acceptability and Usability of a Theory-Driven Intervention via Email to Promote Physical Activity in Women Who Are Overweight or Obese: Substudy Within a Randomized Controlled Trial. JMIR Formative Research 2023;7:e48301 View
  57. Mendes-Santos C, Campos T, Ferreira D, Weiderpass E, Santana R, Andersson G. Breast Cancer Survivors’ Attitudes toward eMental Health: A Cross-Sectional Study. Healthcare 2023;11(13):1920 View
  58. Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Human Factors 2023;10:e46624 View
  59. Wang M, Chen H, Gong C, Peng X, Zhong Y, Wu C, Luo Y, Wu Y. Understanding the use intention and influencing factors of telerehabilitation in people with rehabilitation needs: a cross-sectional survey. Frontiers in Public Health 2023;11 View
  60. 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
  61. 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
  62. Shaukat F, Shafiq M, Hussain A. Investigating the factors affecting the acceptance of blockchain in telemedicine through an integrated model approach. Journal of Science and Technology Policy Management 2023 View
  63. 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
  64. Wüllner S, Hermenau K, Krutkova M, Petras I, Hecker T, Siniatchkin M. Mobile applications in adolescent psychotherapy during the COVID-19 pandemic: a systematic review. Frontiers in Public Health 2024;12 View
  65. Weiss E, Staggl S, Holzner B, Rumpold G, Dresen V, Canazei M. Preventive Effect of a 7-Week App-Based Passive Psychoeducational Stress Management Program on Students. Behavioral Sciences 2024;14(3):180 View
  66. 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
  67. de la Vega R, Bartels S, Wicksell R. Implementation frameworks guiding digital self‐management intervention in chronic pain: A scoping review. European Journal of Pain 2024 View
  68. Strumann C, Pfau L, Wahle L, Schreiber R, Steinhäuser J. Designing and Implementation of a Digitalized Intersectoral Discharge Management System and Its Effect on Readmissions: Mixed Methods Approach. Journal of Medical Internet Research 2024;26:e47133 View
  69. Schmitz A, Díaz-Martín A, Yagüe Guillén M. Telemedicine Beyond Borders: A Mixed-Methods Approach to Understanding Cross-National Usage Intention. Telemedicine and e-Health 2024 View
  70. 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
  71. Fettermann D, Philipi Calegari L. ACEPTACIÓN DE LAS TECNOLOGÍAS DE E-SALUD:UN ESTUDIO DE METAANÁLISIS. Ciência da Informação 2024;52(2) View
  72. Fettermann D, Philipi Calegari L. E-HEALTH TECHNOLOGY ACCEPTANCE: A META-ANALYSIS. Ciência da Informação 2024;52(2) 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
  5. Múnera M, Pinto-Bernal M, Zwickl N, Gil-Agudo A, Barria P, Cifuentes C. Interfacing Humans and Robots for Gait Assistance and Rehabilitation. View
  6. Zwerenz R, Ebert D, Baumeister H. Digitale Gesundheitsinterventionen. View
  7. Breil B. Handbuch Digitale Gesundheitswirtschaft. View