Published on 12.05.16 in Vol 18, No 5 (2016): May
Works citing "Exploring Concordance of Patient-Reported Information on PatientsLikeMe and Medical Claims Data at the Patient Level"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5130):
(note that this is only a small subset of citations)
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Kariotis T, Ball MP, Greshake Tzovaras B, Dennis S, Sahama T, Johnston C, Almond H, Borda A. Emerging health data platforms: From individual control to collective data governance. Data & Policy 2020;2
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Jacobsen PL, Thorley EM, Curran C. Real-world patient experience with sexual dysfunction and antidepressant use in patients with self-reported depression: A cross-sectional survey study. Neurology, Psychiatry and Brain Research 2020;36:57
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Yu H, Chen J, Wang J, Chiu Y, Qiu H, Wang L. Identification of the Differential Effect of City-Level on the Gini Coefficient of Health Service Delivery in Online Health Community. International Journal of Environmental Research and Public Health 2019;16(13):2314
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Eaneff S, Wang V, Hanger M, Levy M, Mealy MA, Brandt AU, Eek D, Ratchford JN, Nyberg F, Goodall J, Wicks P. Patient perspectives on neuromyelitis optica spectrum disorders: Data from the PatientsLikeMe online community. Multiple Sclerosis and Related Disorders 2017;17:116
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Rockhold FW, Tenenbaum JD, Richesson R, Marsolo KA, O’Brien EC. Design and analytic considerations for using patient-reported health data in pragmatic clinical trials: report from an NIH Collaboratory roundtable. Journal of the American Medical Informatics Association 2020;27(4):634
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Murage MJ, Anderson A, Casso D, Oliveria SA, Ojeh CK, Muram TM, Merola JF, Zbrozek A, Araujo AB. Treatment patterns, adherence, and persistence among psoriasis patients treated with biologics in a real-world setting, overall and by disease severity. Journal of Dermatological Treatment 2019;30(2):141
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Matthews PM, Block VJ, Leocani L. E-health and multiple sclerosis. Current Opinion in Neurology 2020;33(3):271
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Murage MJ, Anderson A, Oliveria SA, Casso D, Ojeh CK, Muram TM, Merola JF, Araujo AB. Healthcare resource utilization and costs among psoriasis patients treated with biologics, overall and by disease severity. Journal of Medical Economics 2018;21(8):745
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Wicks P, McCaffrey S, Goodwin K, Black R, Hoole M, Heywood J. A Modular Health-Related Quality of Life Instrument for Electronic Assessment and Treatment Monitoring: Web-Based Development and Psychometric Validation of Core Thrive Items. Journal of Medical Internet Research 2019;21(1):e12075
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Krishnamurthy M, Marcinek P, Malik KM, Afzal M. Representing Social Network Patient Data as Evidence-Based Knowledge to Support Decision Making in Disease Progression for Comorbidities. IEEE Access 2018;6:12951
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Blaser DA, Eaneff S, Loudon-Griffiths J, Roberts S, Phan P, Wicks P, Weatherall J. Comparison of rates of nausea side effects for prescription medications from an online patient community versus medication labels: an exploratory analysis. AAPS Open 2017;3(1)
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Springer JM, Kermani TA, Sreih A, Shaw DG, Young K, Burroughs CM, Merkel PA. Clinical Characteristics of an Internet-Based Cohort of Patient-Reported Diagnosis of Granulomatosis With Polyangiitis and Microscopic Polyangiitis: Observational Study. Journal of Medical Internet Research 2020;22(7):e17231
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Meguerditchian A, Tamblyn R, Meterissian S, Law S, Prchal J, Winslade N, Stern D. Adjuvant Endocrine Therapy in Breast Cancer: A Novel e-Health Approach in Optimizing Treatment for Seniors (OPTIMUM): A Two-Group Controlled Comparison Pilot Study. JMIR Research Protocols 2016;5(4):e199
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Nyman E, Vaughan T, Desta B, Wang X, Barut V, Emmas C. Characteristics and Symptom Severity of Patients Reporting Systemic Lupus Erythematosus in the PatientsLikeMe Online Health Community: A Retrospective Observational Study. Rheumatology and Therapy 2020;7(1):201
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Risson V, Ghodge B, Bonzani IC, Korn JR, Medin J, Saraykar T, Sengupta S, Saini D, Olson M. Linked Patient-Reported Outcomes Data From Patients With Multiple Sclerosis Recruited on an Open Internet Platform to Health Care Claims Databases Identifies a Representative Population for Real-Life Data Analysis in Multiple Sclerosis. Journal of Medical Internet Research 2016;18(9):e249
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Stausberg J, Harkener S, Semler SC. Recent Trends in Patient Registries for Health Services Research. Methods of Information in Medicine 2021;60(S 01):e1
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Selvanayagam N, Mowbray F, Clayton N, Soomro A, Varner C, McLeod S, de Wit K. Reliability of patient‐reported outcome measures: Hemorrhage, anticoagulant, antiplatelet medication use. Research and Practice in Thrombosis and Haemostasis 2021;5(4):e12501
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Kellier-Steele N, Casso D, Anderson A, Oliveria SA, Motsko S. Assessing the incidence of osteosarcoma among teriparatide-treated patients using linkage of commercial pharmacy and state cancer registry data, contributing to the removal of boxed warning and other labeling changes. Bone 2022;160:116394
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Dicuonzo G, Donofrio F, Fusco A, Shini M. Healthcare system: Moving forward with artificial intelligence. Technovation 2023;120:102510
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Novoa ME, Bordini CA. Higher frequency of medication overuse headache in patients attended by neurologists in Lima, Peru. Headache Medicine 2021;12(2):128
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Abdelraheem O, Sami DG, Salama M. Online Health Communities: an alternative feasible data registry tool for developing countries. Health Research Policy and Systems 2023;21(1)
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Weiss M, Holzer MT, Muehlensiepen F, Ignatyev Y, Fiehn C, Bauhammer J, Schmidt J, Schlüter S, Dihkan A, Scheibner D, Schneider U, Valor-Mendez L, Corte G, Gupta L, Chinoy H, Lundberg I, Cavagna L, Distler JHW, Schett G, Knitza J. Healthcare utilization and unmet needs of patients with antisynthetase syndrome: An international patient survey. Rheumatology International 2023;43(10):1925
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5130):
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Haque R, Nazir A. Drug Design: Principles and Applications. 2017. Chapter 2:9
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