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Citing this Article

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Published on 23.12.16 in Vol 18, No 12 (2016): December

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

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

Severin Hennemann, Manfred E Beutel, Rüdiger Zwerenz

J Med Internet Res 2016 (Dec 23); 18(12):e337 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6003):

(note that this is only a small subset of citations)

  1. den Bakker CM, Huirne JA, Schaafsma FG, de Geus C, Bonjer HJ, Anema JR. 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
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  2. Sotirova MB, McCaughan EM, Ramsey L, Flannagan C, Kerr DP, O’Connor SR, Blackburn NE, Wilson IM. Acceptability of online exercise-based interventions after breast cancer surgery: systematic review and narrative synthesis. Journal of Cancer Survivorship 2021;15(2):281
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  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
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  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
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  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
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  6. Owens OL, Wooten NR, Tavakoli AS. 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)
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  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
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  8. Levin ME, 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
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  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
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  10. Tibubos AN, Zwerenz R, Brähler E, Beutel ME. Persönlichkeitsdiagnostik in der Online-Psychotherapieforschung. Zeitschrift für Psychiatrie, Psychologie und Psychotherapie 2018;66(3):169
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  11. Hennemann S, Witthöft M, Bethge M, Spanier K, Beutel ME, 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
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  12. Lin J, Faust B, Ebert DD, 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
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  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
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  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
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  15. Cornejo Müller A, Wachtler B, Lampert T. Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):185
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  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
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  17. Rodriguez Hermosa JL, Fuster Gomila A, Puente Maestu L, Amado Diago CA, Callejas González FJ, Malo De Molina Ruiz R, Fuentes Ferrer ME, Álvarez Sala-Walther JL, 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
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  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
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  19. Zwerenz R, Baumgarten C, Becker J, Tibubos A, Siepmann M, Knickenberg RJ, Beutel ME. 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
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  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
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  21. Casas JA, Céspedes N, Cifuentes CA, Gutierrez LF, Rincón-Roncancio M, Múnera M. Expectation vs. Reality: Attitudes Towards a Socially Assistive Robot in Cardiac Rehabilitation. Applied Sciences 2019;9(21):4651
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  22. Apolinário-Hagen J, Harrer M, Kählke F, Fritsche L, Salewski C, Ebert DD. Public Attitudes Toward Guided Internet-Based Therapies: Web-Based Survey Study. JMIR Mental Health 2018;5(2):e10735
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  23. Meisel SF, Drury H, Perera-Delcourt RP. Therapists’ attitudes to offering eCBT in an inner-city IAPT service: a survey study. The Cognitive Behaviour Therapist 2018;11
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  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
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  25. Nesvåg S, McKay JR. 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
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  26. Lee K, Fields NL, Cassidy J, Feinhals G. Process and outcomes of telephone reassurance program training for older adult volunteers. Educational Gerontology 2021;47(1):36
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  27. Serrano KM, Mendes GH, Lizarelli FL, Ganga GM. Assessing the telemedicine acceptance for adults in Brazil. International Journal of Health Care Quality Assurance 2020;34(1):35
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  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
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  29. O'Connor SR, Flannagan C, Parahoo K, Steele M, Thompson S, Jain S, Kirby M, Brady N, Maguire R, Connaghan J, McCaughan EM. 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
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  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
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  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
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  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)
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  33. Boyce L, Harun A, Prybutok G, Prybutok VR. Exploring the factors in information seeking behavior: a perspective from multinational COPD online forums. Health Promotion International 2022;37(2)
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  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
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  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
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  36. Kistner S, Kramer D. Erste Erfahrungen mit einer Selbstmanagement-App in der stationären Suchtbehandlung. SUCHT 2022;68(6):322
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  37. Bäuerle A, Frewer A, Rentrop V, Schüren LC, 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
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  38. Kreis A, Becker J, Beutel ME, Zwerenz R. Einfluss akzeptanzfördernder Interventionen auf die Nutzung einer Online-Selbsthilfe. Psychotherapeut 2021;66(5):406
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  39. Cheng C, Ebrahimi OV. A meta-analytic review of gamified interventions in mental health enhancement. Computers in Human Behavior 2023;141:107621
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  40. Crouch J, Winters K, Zhang L, Stewart MW. Telehealth during the pandemic: Patient perceptions and policy implications. Journal of Nursing Scholarship 2023;55(1):141
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  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
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  42. Philippi P, Baumeister H, Apolinário-Hagen J, Ebert DD, 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
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  43. Braun P, Drüge M, Hennemann S, Nitsch FJ, 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
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  44. Calegari LP, Tortorella GL, Fettermann DC. Getting Connected to M-Health Technologies through a Meta-Analysis. International Journal of Environmental Research and Public Health 2023;20(5):4369
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  45. Rentrop V, Damerau M, Schweda A, Steinbach J, Schüren LC, 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
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  46. Kerwagen F, Fuchs KF, Ullrich M, Schulze A, Straka S, Krop P, Latoschik ME, 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)
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  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
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  48. Apolinário-Hagen J, Fritsche L, Wopperer J, Wals F, Harrer M, Lehr D, Ebert DD, 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
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  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
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  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
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  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
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  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
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  53. Calegari LP, R.D. B, Fettermann DC. A meta-analysis of a comprehensive m-health technology acceptance. International Journal of Lean Six Sigma 2024;15(1):1
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  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
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  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
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  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
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  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
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  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
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  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
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  60. Schröder J, Bäuerle A, Jahre LM, 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
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  61. Schröder S, Buntrock C, Neumann L, Müller JL, 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
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  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;
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  63. Nurtsch A, Teufel M, Jahre LM, 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
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  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
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  65. Weiss EM, 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
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  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
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  67. de la Vega R, Bartels SL, Wicksell RW. Implementation frameworks guiding digital self‐management intervention in chronic pain: A scoping review. European Journal of Pain 2024;
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  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
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6003):

  1. Apolinário-Hagen J, Fritsche L, Albers L, Salewski C. Treatment Resistance in Psychiatry. 2019. Chapter 21:311
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  2. Farin-Glattacker E, Schmidt E, Spohn L. Digitale Transformation von Dienstleistungen im Gesundheitswesen V. 2019. Chapter 8:161
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  3. Apolinário-Hagen J, Salewski C. Understanding Depression. 2018. Chapter 22:305
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  4. Kremer L, Sen S, Eigenstetter M. Human-Computer Interaction. Multimodal and Natural Interaction. 2020. Chapter 45:654
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  5. Múnera M, Pinto-Bernal MJ, Zwickl N, Gil-Agudo A, Barria P, Cifuentes CA. Interfacing Humans and Robots for Gait Assistance and Rehabilitation. 2022. Chapter 14:349
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  6. Zwerenz R, Ebert DD, Baumeister H. Digitale Gesundheitsinterventionen. 2023. Chapter 22:365
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  7. . Handbuch Digitale Gesundheitswirtschaft. 2023. Chapter 21:99
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