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Citing this Article

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Published on 15.06.10 in Vol 12, No 2 (2010): Apr-Jun

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

Works citing "Online Communication Between Doctors and Patients in Europe: Status and Perspectives"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1281):

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

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  36. Wang L, Yan L, Guo X, Heim GR. Modeling Physicianss Dynamic Behaviors in an Online Healthcare Community: An Empirical Study Using a Vector Autoregression Approach. SSRN Electronic Journal 2017;
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  38. Fissler T, Bientzle M, Cress U, Kimmerle J. The Impact of Advice Seekers’ Need Salience and Doctors’ Communication Style on Attitude and Decision Making: A Web-Based Mammography Consultation Role Play. JMIR Cancer 2015;1(2):e10
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  39. Aguilar-Martínez A, Tort E, Medina FX, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419
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  40. . The Development of Online Doctor Reviews in China: An Analysis of the Largest Online Doctor Review Website in China. Journal of Medical Internet Research 2015;17(6):e134
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  41. Hao H, Zhang K. The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews. Journal of Medical Internet Research 2016;18(5):e108
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  42. Atherton H, Ziebland S. What do we need to consider when planning, implementing and researching the use of alternatives to face-to-face consultations in primary healthcare?. DIGITAL HEALTH 2016;2:205520761667555
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  43. . Trends in the use of the Internet for health purposes in Poland. BMC Public Health 2015;15(1)
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  44. Wuyts K, Verhenneman G, Scandariato R, Joosen W, Dumortier J. What electronic health records don’t know just yet. A privacy analysis for patient communities and health records interaction. Health and Technology 2012;2(3):159
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  46. Roettl J, Bidmon S, Terlutter R. What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship. Journal of Medical Internet Research 2016;18(2):e32
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  47. Lee SA, Zuercher RJ. A current review of doctor–patient computer-mediated communication. Journal of Communication in Healthcare 2017;10(1):22
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  48. McDarby V, Hevey D, Cody D. An Overview of the Role of Social Network Sites in the Treatment of Adolescent Diabetes. Diabetes Technology & Therapeutics 2015;17(4):291
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  49. Fareed N, Swoboda CM, Jonnalagadda P, Huerta TR. Persistent digital divide in health-related internet use among cancer survivors: findings from the Health Information National Trends Survey, 2003–2018. Journal of Cancer Survivorship 2021;15(1):87
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  50. Ngai CSB, Singh RG, Lu W, Bovet A. Exploring drivers for public engagement in social media communication with medical social influencers in China. PLOS ONE 2020;15(10):e0240303
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  51. Yang X, Yang N, Lewis D, Parton J, Hudnall M. Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study. Journal of Medical Internet Research 2021;23(2):e25809
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  52. Kirchberg J, Fritzmann J, Weitz J, Bork U. eHealth Literacy of German Physicians in the Pre–COVID-19 Era: Questionnaire Study. JMIR mHealth and uHealth 2020;8(10):e20099
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  53. Kernebeck S, Busse TS, Böttcher MD, Weitz J, Ehlers J, Bork U. Impact of mobile health and medical applications on clinical practice in gastroenterology. World Journal of Gastroenterology 2020;26(29):4182
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  54. Forstnerič S, Fijačko N, Pajnkihar M, Štiglic G. Introducing eHealth solutions in Slovenia to gain time for health education: a case of electronic patient appointment scheduling. Pielegniarstwo XXI wieku / Nursing in the 21st Century 2018;17(1):5
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  55. Huang N, Yan Z, Yin H. Effects of Online-Offline Service Integration on e-Healthcare Providers: A Quasi-Natural Experiment. SSRN Electronic Journal 2021;
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  56. Huang N, Yan Z, Yin H. Effects of Online–Offline Service Integration on e‐Healthcare Providers: A Quasi‐Natural Experiment. Production and Operations Management 2021;30(8):2359
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  57. Elkefi S, Asan O, Do T. Impact of Health Informatics on Patients’ Perception of Health Care Services: Trends over Time of Health Information Technology Use. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2022;11(1):119
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  58. Tabas RY, Ahmadian L, Samadbeik M, Arian A, Ameri A. Determining the readiness of patients with renal failure to use health information technology. BMC Medical Informatics and Decision Making 2022;22(1)
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  59. Khadam S, Chu T, Deekes N, FitzGerald D, Preston A, Duncan N. An investigation of the use of app technology to support clinical management of patients with chronic myeloid leukaemia (CML). Journal of Oncology Pharmacy Practice 2023;29(5):1083
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  60. Saltzmann C, Boenigk S. Blood donors' usage intentions of donation appointment‐scheduling systems during the COVID‐19 pandemic and beyond. Journal of Philanthropy and Marketing 2022;27(3)
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  63. Woodcock E, Sen A, Weiner J. Automated patient self-scheduling: case study. Journal of the American Medical Informatics Association 2022;29(9):1637
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  64. Grata-Borkowska U, Sobieski M, Drobnik J, Fabich E, Bujnowska-Fedak MM. Perception and Attitude toward Teleconsultations among Different Healthcare Professionals in the Era of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2022;19(18):11532
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  65. . Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review. Journal of Medical Internet Research 2022;24(1):e28323
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  66. Cao B, Wang D, Wang Y, Hall BJ. Patient Expectation in China: Exploring Patient Satisfaction in Online and Offline Patient–Provider Communication. Frontiers in Psychology 2022;13
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  67. Bol N, Antheunis ML. Skype or Skip? Causes and Consequences of Intimate Self-Disclosure in Computer-Mediated Doctor-Patient Communication. Media Psychology 2022;25(5):706
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  68. Jandrić-Kočič M, Knežević S. Electronic communication in primary healthcare. Medicinski glasnik Specijalne bolnice za bolesti štitaste žlezde i bolesti metabolizma 2023;28(88):57
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  69. Kim J, Linos E, Fishman DA, Dove MS, Hoch JS, Keegan TH. Factors Associated With Online Patient-Provider Communications Among Cancer Survivors in the United States During COVID-19: Cross-sectional Study. JMIR Cancer 2023;9:e44339
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  70. Chilunjika S, Chilunjika A. Embracing e-health systems in managing the COVID 19 pandemic in Sub-Saharan Africa. Social Sciences & Humanities Open 2023;8(1):100556
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  73. Wei X, Yu S, Li C. The Influence of Physical Attractiveness and Gender on Patient Preferences in Online Doctor Consultations: The Moderating Effects of Disease Severity and Qualification Information (Preprint). Journal of Medical Internet Research 2023;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1281):

  1. Molnar A, Weerakkody V, El-Haddadeh R, Lee H, Irani Z. Grand Successes and Failures in IT. Public and Private Sectors. 2013. Chapter 27:436
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  2. . Information Technology in Pharmacy. 2013. Chapter 2:27
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  3. Robinson L, Griffiths M, Wray J, Ure C, Stein-Hodgins JR, Shires G. Digital Mammography. 2015. Chapter 13:105
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  4. Vassilakopoulou P, Grisot M. Nordic Contributions in IS Research. 2014. Chapter 9:121
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  5. Bujnowska-Fedak MM, Waligóra J, Mastalerz-Migas A. Advancements and Innovations in Health Sciences. 2019. Chapter 396:1
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  6. Molnar A, Weerakkody V, Almuwil A. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 2014. Chapter 8:63
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  7. Shi VY, Komiak S, Komiak P. HCI in Business, Government and Organizations. Interacting with Information Systems. 2017. Chapter 18:224
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