Published on 15.10.12 in Vol 14, No 5 (2012): Sep-Oct
Works citing "Use and Acceptance of Electronic Communication by Patients With Multiple Sclerosis: A Multicenter Questionnaire Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2133):
(note that this is only a small subset of citations)
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Jones KH, Jones PA, Middleton RM, Ford DV, Tuite-Dalton K, Lockhart-Jones H, Peng J, Lyons RA, John A, Noble JG, Reindl M. Physical Disability, Anxiety and Depression in People with MS: An Internet-Based Survey via the UK MS Register. PLoS ONE 2014;9(8):e104604
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Ziemssen T, Kern R, Thomas K. Multiple sclerosis: clinical profiling and data collection as prerequisite for personalized medicine approach. BMC Neurology 2016;16(1)
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Hassoun L, Eisele J, Thomas K, Ziemssen T. Hands on Alemtuzumab-experience from clinical practice: whom and how to treat. Multiple Sclerosis and Demyelinating Disorders 2016;1(1)
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Ziemssen T, Kempcke R, Eulitz M, Großmann L, Suhrbier A, Thomas K, Schultheiss T. Multiple sclerosis documentation system (MSDS): moving from documentation to management of MS patients. Journal of Neural Transmission 2013;120(S1):61
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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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Potemkowski A, Brola W, Ratajczak A, Ratajczak M, Zaborski J, Jasińska E, Pokryszko-Dragan A, Gruszka E, Dubik-Jezierzańska M, Podlecka-Piętowska A, Nojszewska M, Gospodarczyk-Szot K, Stępień A, Gocyła-Dudar K, Maciągowska-Terela M, Wencel J, Kaźmierski R, Kułakowska A, Kapica-Topczewska K, Pawełczak W, Bartosik-Psujek H. Internet Usage by Polish Patients With Multiple Sclerosis: A Multicenter Questionnaire Study. Interactive Journal of Medical Research 2019;8(1):e11146
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Visser L, Louapre C, Uyl-de Groot C, Redekop W. Patient needs and preferences in relapsing-remitting multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders 2020;39:101929
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Ziemssen T, Kern R, Cornelissen C. Study design of PANGAEA 2.0, a non-interventional study on RRMS patients to be switched to fingolimod. BMC Neurology 2016;16(1)
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Marziniak M, Brichetto G, Feys P, Meyding-Lamadé U, Vernon K, Meuth SG. The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review. JMIR Rehabilitation and Assistive Technologies 2018;5(1):e5
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Haase R, Schultheiss T, Kempcke R, Thomas K, Ziemssen T. Modern communication technology skills of patients with multiple sclerosis. Multiple Sclerosis Journal 2013;19(9):1240
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Baumeister H, Seifferth H, Lin J, Nowoczin L, Lüking M, Ebert D. Impact of an Acceptance Facilitating Intervention on Patients’ Acceptance of Internet-based Pain Interventions. The Clinical Journal of Pain 2015;31(6):528
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Price M, Williamson D, McCandless R, Mueller M, Gregoski M, Brunner-Jackson B, Treiber E, Davidson L, Treiber F. Hispanic Migrant Farm Workers' Attitudes Toward Mobile Phone-Based Telehealth for Management of Chronic Health Conditions. Journal of Medical Internet Research 2013;15(4):e76
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Spence AD, Khasawneh M, Allen PB, Addley J. Communication of alcohol and smoking lifestyle advice to the gastroenterological patient. Best Practice & Research Clinical Gastroenterology 2017;31(5):597
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Ehling R, Edlinger M, Hermann K, Dröge K, Seidinger Y, Miller U, Alber HF, Brenneis C. Successful long-term management of spasticity in patients with multiple sclerosis using a software application (APP): A pilot study. Multiple Sclerosis and Related Disorders 2017;17:15
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Karnoe A, Kayser L, Skovgaard L. Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study. JMIR Human Factors 2019;6(4):e13295
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Sander L, Paganini S, Lin J, Schlicker S, Ebert DD, Buntrock C, Baumeister H. Effectiveness and cost-effectiveness of a guided Internet- and mobile-based intervention for the indicated prevention of major depression in patients with chronic back pain—study protocol of the PROD-BP multicenter pragmatic RCT. BMC Psychiatry 2017;17(1)
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Becker V, Heeschen V, Schuh K, Schieb H, Ziemssen T. Patient satisfaction and healthcare services in specialized multiple sclerosis centres in Germany. Therapeutic Advances in Neurological Disorders 2018;11:175628561774884
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Griffin N, Kehoe M. A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes. Disability and Rehabilitation 2018;40(12):1434
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Ruzic L, Sanford JA. Needs Assessment—mHealth Applications for People Aging with Multiple Sclerosis. Journal of Healthcare Informatics Research 2018;2(1-2):71
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Jongen PJ, ter Veen G, Lemmens W, Donders R, van Noort E, Zeinstra E. The Interactive Web-Based Program MSmonitor for Self-Management and Multidisciplinary Care in Persons With Multiple Sclerosis: Quasi-Experimental Study of Short-Term Effects on Patient Empowerment. Journal of Medical Internet Research 2020;22(3):e14297
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Tsai C, Shen P, Chiang Y. The Application of Mobile Technology in E-Learning and Online Education Environments. International Journal of Enterprise Information Systems 2013;9(4):85
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Beste C, Ziemssen T. Why Cognitive–Cognitive Dual-Task Testing Assessment Should Be Implemented in Studies on Multiple Sclerosis and in Regular Clinical Practice. Frontiers in Neurology 2020;11
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Winberg C, Kylberg M, Pettersson C, Harnett T, Hedvall P, Mattsson T, Månsson Lexell E. Feeling controlled or being in control? Apps for self-management among older people with neurological disability. Disability and Rehabilitation: Assistive Technology 2021;16(6):603
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Lancioni GE, Singh NN, O’Reilly MF, Sigafoos J, Buonocunto F, Sacco V, Navarro J, Lanzilotti C, D’Amico F, Sasanelli G, De Tommaso M, Megna M. Technology-aided recreation and communication opportunities for post-coma persons affected by lack of speech and extensive motor impairment. Research in Developmental Disabilities 2013;34(9):2959
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Kos D, Raeymaekers J, Van Remoortel A, D’hooghe M, Nagels G, D’Haeseleer M, Peeters E, Dams T, Peeters T. Electronic visual analogue scales for pain, fatigue, anxiety and quality of life in people with multiple sclerosis using smartphone and tablet: a reliability and feasibility study. Clinical Rehabilitation 2017;31(9):1215
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Lavorgna L, Borriello G, Esposito S, Abbadessa G, Capuano R, De Giglio L, Logoteta A, Pozzilli C, Tedeschi G, Bonavita S. Impact of early diagnosis on clinical characteristics of an Italian sample of people with multiple sclerosis recruited online. Multiple Sclerosis and Related Disorders 2019;27:239
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. Physician–patient communication skills: e-tools. Neurodegenerative Disease Management 2015;5(6s):51
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Lang M, Mayr M, Ringbauer S, Cepek L. PatientConcept App: Key Characteristics, Implementation, and its Potential Benefit. Neurology and Therapy 2019;8(1):147
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Giunti G, Kool J, Rivera Romero O, Dorronzoro Zubiete E. Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(2):e37
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Ebert D, Berking M, Cuijpers P, Lehr D, Pörtner M, Baumeister H. Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. Journal of Affective Disorders 2015;176:9
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Haase R, Wunderlich M, Dillenseger A, Kern R, Akgün K, Ziemssen T. Improving multiple sclerosis management and collecting safety information in the real world: the MSDS3D software approach. Expert Opinion on Drug Safety 2018;17(4):369
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Farpour HR, Hoveidaei AH, Habibi L, Moosavi M, Farpour S. The impact of social media use on depression in multiple sclerosis patients. Acta Neurologica Belgica 2020;120(6):1405
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Nasseri NN, Ghezelbash E, Zhai Y, Patra S, Riemann-Lorenz K, Heesen C, Rahn AC, Stellmann J. Feasibility of a smartphone app to enhance physical activity in progressive MS: a pilot randomized controlled pilot trial over three months. PeerJ 2020;8:e9303
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Ziemssen T, Kern R, Voigt I, Haase R. Data Collection in Multiple Sclerosis: The MSDS Approach. Frontiers in Neurology 2020;11
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Voigt I, Benedict M, Susky M, Scheplitz T, Frankowitz S, Kern R, Müller O, Schlieter H, Ziemssen T. A Digital Patient Portal for Patients With Multiple Sclerosis. Frontiers in Neurology 2020;11
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Tallner A, Pfeifer K, Mäurer M. Web-based interventions in multiple sclerosis: the potential of tele-rehabilitation. Therapeutic Advances in Neurological Disorders 2016;9(4):327
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Stern BZ, Goverover Y. Everyday technology use for men with multiple sclerosis: An occupational perspective. British Journal of Occupational Therapy 2018;81(12):709
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O’Brien C, Kelly J, Lehane EA, Livingstone V, Cotter B, Butt A, Kelly L, Corrigan MA. Validation and Assessment of a Technology Familiarity Score in Patients Attending a Symptomatic Breast Clinic. World Journal of Surgery 2015;39(10):2441
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. Rehabilitation in multiple sclerosis: the role of tele-rehabilitation/gaming. Neurodegenerative Disease Management 2016;6(6s):17
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Kantor D, Bright JR, Burtchell J. Perspectives from the Patient and the Healthcare Professional in Multiple Sclerosis: Social Media and Patient Education. Neurology and Therapy 2018;7(1):23
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Kern R, Haase R, Eisele JC, Thomas K, Ziemssen T. Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System. interactive Journal of Medical Research 2016;5(1):e2
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Baumeister H, Nowoczin L, Lin J, Seifferth H, Seufert J, Laubner K, Ebert D. Impact of an acceptance facilitating intervention on diabetes patients’ acceptance of Internet-based interventions for depression: A randomized controlled trial. Diabetes Research and Clinical Practice 2014;105(1):30
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Haase R, Schriefer D, Ziemssen T. Der Patient als Experte. DNP - Der Neurologe & Psychiater 2020;21(5):33
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Rahn AC, Wenzel L, Icks A, Stahmann A, Scheiderbauer J, Grentzenberg K, Vomhof M, Montalbo J, Friede T, Heesen C, Köpke S. Development and evaluation of an interactive web-based decision-making programme on relapse management for people with multiple sclerosis (POWER@MS2)—study protocol for a randomised controlled trial. Trials 2021;22(1)
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Scholz M, Haase R, Schriefer D, Voigt I, Ziemssen T. Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice. Brain Sciences 2021;11(2):180
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Böttrich N, Mückschel M, Dillenseger A, Lange C, Kern R, Ziemssen T, Beste C. On the Reliability of Examining Dual-Tasking Abilities Using a Novel E-Health Device—A Proof of Concept Study in Multiple Sclerosis. Journal of Clinical Medicine 2020;9(11):3423
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Rahn AC, Riemann-Lorenz K, Alegiani A, Pust GE, van de Roemer A, Schmitz L, Vettorazzi E, Köpke S, Heesen C. Comprehension of confidence intervals in audio-visual patient information materials for people with multiple sclerosis (COCO-MS): A web-based randomised controlled, parallel group trial. Patient Education and Counseling 2021;104(5):1132
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Pratap A, Grant D, Vegesna A, Tummalacherla M, Cohan S, Deshpande C, Mangravite L, Omberg L. Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study. JMIR mHealth and uHealth 2020;8(10):e22108
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Gromisch ES, Turner AP, Haselkorn JK, Lo AC, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2021;4(3)
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Martini M, Bragazzi NL. Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era. Journal of Medical Internet Research 2021;23(3):e13999
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Lossio-Ventura JA, Gonzales S, Morzan J, Alatrista-Salas H, Hernandez-Boussard T, Bian J. Evaluation of clustering and topic modeling methods over health-related tweets and emails. Artificial Intelligence in Medicine 2021;117:102096
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De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328
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Stavropoulos TG, Meditskos G, Lazarou I, Mpaltadoros L, Papagiannopoulos S, Tsolaki M, Kompatsiaris I. Detection of Health-Related Events and Behaviours from Wearable Sensor Lifestyle Data Using Symbolic Intelligence: A Proof-of-Concept Application in the Care of Multiple Sclerosis. Sensors 2021;21(18):6230
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Thompson CM, Pulido MD, Babu S, Zenzola N, Chiu C. Communication between persons with multiple sclerosis and their health care providers: A scoping review. Patient Education and Counseling 2022;105(12):3341
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Haase R, Voigt I, Scholz M, Schlieter H, Benedict M, Susky M, Dillenseger A, Ziemssen T. Profiles of eHealth Adoption in Persons with Multiple Sclerosis and Their Caregivers. Brain Sciences 2021;11(8):1087
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Russell RD, Black LJ, Purdue J, Daly A, Begley A. A collaborative approach to designing an online nutrition education program for people with multiple sclerosis. Disability and Rehabilitation 2024;46(5):947
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Almarwani M, Alosaimi B. Exercise Self-Efficacy and Fatigue as Predictors of Adherence to Home-Based Exercise Among Patients with Multiple Sclerosis. Patient Preference and Adherence 2023;Volume 17:1441
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2133):