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Citing this Article

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Published on 24.01.11 in Vol 13, No 1 (2011): Jan-Mar

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

Works citing "Use of an Online Community to Develop Patient-Reported Outcome Instruments: The Multiple Sclerosis Treatment Adherence Questionnaire (MS-TAQ)"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1687):

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

  1. Kantor D, Bright JR, Burtchell J. Perspectives from the Patient and the Healthcare Professional in Multiple Sclerosis: Social Media and Participatory Medicine. Neurology and Therapy 2018;7(1):37
    CrossRef
  2. Erbay , Usta Yeşilbalkan , Yüceyar N. Factors Affecting the Adherence to Disease-Modifying Therapy in Patients With Multiple Sclerosis. Journal of Neuroscience Nursing 2018;50(5):291
    CrossRef
  3. Schwartz CE, Grover SA, Powell VE, Noguera A, Mah JK, Mar S, Mednick L, Banwell BL, Alper G, Rensel M, Gorman M, Waldman A, Schreiner T, Waubant E, Yeh EA. Risk factors for non-adherence to disease-modifying therapy in pediatric multiple sclerosis. Multiple Sclerosis Journal 2018;24(2):175
    CrossRef
  4. Schoor R, Bruce A, Bruce J, Goggin K, Schanfarber B, Bradley-Ewing A, Thelen J, Glusman M, Lynch SG, Strober L, Catley D. Reasons for nonadherence and response to treatment in an adherence intervention trial for relapsing-remitting multiple sclerosis patients. Journal of Clinical Psychology 2018;
    CrossRef
  5. Thach AV, Brown CM, Herrera V, Sasane R, Barner JC, Ford KC, Lawson KA. Associations Between Treatment Satisfaction, Medication Beliefs, and Adherence to Disease-Modifying Therapies in Patients with Multiple Sclerosis. International Journal of MS Care 2018;20(6):251
    CrossRef
  6. Ben-Zacharia A, Adamson M, Boyd A, Hardeman P, Smrtka J, Walker B, Walker T. Impact of Shared Decision Making on Disease-Modifying Drug Adherence in Multiple Sclerosis. International Journal of MS Care 2018;20(6):287
    CrossRef
  7. Glusman M, Bruce A, Thelen J, Smith J, Lynch S, Catley D, Bennett KK, Bruce J. Discontinuing Treatment Against Medical Advice: The Role of Perceived Autonomy Support From Providers in Relapsing-Remitting Multiple Sclerosis. Annals of Behavioral Medicine 2018;
    CrossRef
  8. Hoffmann FA, Trenova A, Llaneza MA, Fischer J, Lus G, von Bredow D, Lara N, Lam E, Van Hoef M, Bakshi R. Patient satisfaction with ExtaviPro™ 30G, a new auto-injector for administering interferon β-1b in multiple sclerosis: results from a real-world, observational EXCHANGE study. BMC Neurology 2017;17(1)
    CrossRef
  9. Yeh EA, Grover SA, Powell VE, Alper G, Banwell BL, Edwards K, Gorman M, Graves J, Lotze TE, Mah JK, Mednick L, Ness J, Obadia M, Slater R, Waldman A, Waubant E, Schwartz CE. Impact of an electronic monitoring device and behavioral feedback on adherence to multiple sclerosis therapies in youth: results of a randomized trial. Quality of Life Research 2017;26(9):2333
    CrossRef
  10. McCarrier KP, Bull S, Fleming S, Simacek K, Wicks P, Cella D, Pierson R. Concept Elicitation Within Patient-Powered Research Networks: A Feasibility Study in Chronic Lymphocytic Leukemia. Value in Health 2016;19(1):42
    CrossRef
  11. Wicks P, Rasouliyan L, Katic B, Nafees B, Flood E, Sasané R. The real-world patient experience of fingolimod and dimethyl fumarate for multiple sclerosis. BMC Research Notes 2016;9(1)
    CrossRef
  12. Settle JR, Maloni HW, Bedra M, Finkelstein J, Zhan M, Wallin MT. Monitoring medication adherence in multiple sclerosis using a novel web-based tool: A pilot study. Journal of Telemedicine and Telecare 2016;22(4):225
    CrossRef
  13. Wicks P, Brandes D, Park J, Liakhovitski D, Koudinova T, Sasane R. Preferred Features of Oral Treatments and Predictors of Non-Adherence: Two Web-Based Choice Experiments in Multiple Sclerosis Patients. interactive Journal of Medical Research 2015;4(1):e6
    CrossRef
  14. Lysandropoulos AP, Havrdova E. ‘Hidden’ factors influencing quality of life in patients with multiple sclerosis. European Journal of Neurology 2015;22:28
    CrossRef
  15. Stirratt MJ, Dunbar-Jacob J, Crane HM, Simoni JM, Czajkowski S, Hilliard ME, Aikens JE, Hunter CM, Velligan DI, Huntley K, Ogedegbe G, Rand CS, Schron E, Nilsen WJ. Self-report measures of medication adherence behavior: recommendations on optimal use. Translational Behavioral Medicine 2015;5(4):470
    CrossRef
  16. Rothman M, Gnanaskathy A, Wicks P, Papadopoulos EJ. Can We Use Social Media to Support Content Validity of Patient-Reported Outcome Instruments in Medical Product Development?. Value in Health 2015;18(1):1
    CrossRef
  17. Schroeder EB, Desai J, Schmittdiel JA, Paolino AR, Schneider JL, Goodrich GK, Lawrence JM, Newton KM, Nichols GA, O'Connor PJ, Fitz-Randolph M, Steiner JF. An Innovative Approach to Informing Research: Gathering Perspectives on Diabetes Care Challenges From an Online Patient Community. interactive Journal of Medical Research 2015;4(2):e13
    CrossRef
  18. Wicks P, Sulham KA, Gnanasakthy A. Quality of Life in Organ Transplant Recipients Participating in an Online Transplant Community. The Patient - Patient-Centered Outcomes Research 2014;7(1):73
    CrossRef
  19. Hadjigeorgiou G, Dardiotis E, Tsivgoulis G, Doskas T, Petrou D, Makris N, Vlaikidis N, Thomaidis T, Kyritsis A, Fakas N, Treska X, Karageorgiou C, Sotirli S, Giannoulis C, Papadimitriou D, Mylonas I, Kouremenos E, Vlachos G, Georgiopoulos D, Mademtzoglou D, Vikelis M, Zintzaras E, Villoslada P. Observational Study Assessing Demographic, Economic and Clinical Factors Associated with Access and Utilization of Health Care Services of Patients with Multiple Sclerosis under Treatment with Interferon Beta-1b (EXTAVIA). PLoS ONE 2014;9(11):e113933
    CrossRef
  20. Wicks P, Stamford J, Grootenhuis MA, Haverman L, Ahmed S. Innovations in e-health. Quality of Life Research 2014;23(1):195
    CrossRef
  21. Little M, Wicks P, Vaughan T, Pentland A. Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-reported Symptom Data From an Internet Social Network. Journal of Medical Internet Research 2013;15(1):e20
    CrossRef
  22. Bove R, Secor E, Healy BC, Musallam A, Vaughan T, Glanz BI, Greeke E, Weiner HL, Chitnis T, Wicks P, De Jager PL, Oreja-Guevara C. Evaluation of an Online Platform for Multiple Sclerosis Research: Patient Description, Validation of Severity Scale, and Exploration of BMI Effects on Disease Course. PLoS ONE 2013;8(3):e59707
    CrossRef
  23. Ožura A, Kovač L, Šega S. Adherence to disease-modifying therapies and attitudes regarding disease in patients with multiple sclerosis. Clinical Neurology and Neurosurgery 2013;115:S6
    CrossRef
  24. Jones JL, Scheidt DJ, Kaushal RS, Carroll CA. Assessing the role of patient support services on adherence rates in patients using glatiramer acetate for relapsing-remitting multiple sclerosis. Journal of Medical Economics 2013;16(2):213
    CrossRef
  25. Oprescu F, Campo S, Lowe J, Andsager J, Morcuende JA. Online Information Exchanges for Parents of Children With a Rare Health Condition: Key Findings From an Online Support Community. Journal of Medical Internet Research 2013;15(1):e16
    CrossRef
  26. Lejbkowicz I, Caspi O, Miller A. Participatory medicine and patient empowerment towards personalized healthcare in multiple sclerosis. Expert Review of Neurotherapeutics 2012;12(3):343
    CrossRef
  27. Haase R, Schultheiss T, Kempcke R, Thomas K, Ziemssen T. Use and Acceptance of Electronic Communication by Patients With Multiple Sclerosis: A Multicenter Questionnaire Study. Journal of Medical Internet Research 2012;14(5):e135
    CrossRef
  28. Nakamura C, Bromberg M, Bhargava S, Wicks P, Zeng-Treitler Q. Mining Online Social Network Data for Biomedical Research: A Comparison of Clinicians’ and Patients’ Perceptions About Amyotrophic Lateral Sclerosis Treatments. Journal of Medical Internet Research 2012;14(3):e90
    CrossRef
  29. Wicks P, Vaughan TE, Massagli MP. The multiple sclerosis rating scale, revised (MSRS-R): Development, refinement, and psychometric validation using an online community. Health and Quality of Life Outcomes 2012;10(1):70
    CrossRef
  30. Swan M. Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem. Journal of Medical Internet Research 2012;14(2):e46
    CrossRef
  31. Kennedy CM, Powell J, Payne TH, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80
    CrossRef
  32. Eysenbach G. Infodemiology and Infoveillance. American Journal of Preventive Medicine 2011;40(5):S154
    CrossRef