Published on 27.11.03 in Vol 5, No 4 (2003)
Works citing "Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5.4.e30):
(note that this is only a small subset of citations)
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Bull SS, Gaglio B, Mckay HG, Glasgow RE. Harnessing the potential of the Internet to promote chronic illness self-management: diabetes as an example of how well we are doing. Chronic Illness 2005;1(2):143
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Jetha A, Faulkner G, Gorczynski P, Arbour-Nicitopoulos K, Martin Ginis KA. Physical activity and individuals with spinal cord injury: accuracy and quality of information on the Internet. Disability and Health Journal 2011;4(2):112
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Stepnowsky C, Edwards C, Zamora T, Barker R, Agha Z. Patient Perspective on Use of an Interactive Website for Sleep Apnea. International Journal of Telemedicine and Applications 2013;2013:1
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Bernstam EV, Shelton DM, Walji M, Meric-Bernstam F. Instruments to assess the quality of health information on the World Wide Web: what can our patients actually use?. International Journal of Medical Informatics 2005;74(1):13
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Belen Sağlam R, Taskaya Temizel T. A framework for automatic information quality ranking of diabetes websites. Informatics for Health and Social Care 2015;40(1):45
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Robillard JM, Cleland I, Hoey J, Nugent C. Ethical adoption: A new imperative in the development of technology for dementia. Alzheimer's & Dementia 2018;14(9):1104
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Azizi A, Aboutorabi R, Mazloum-Khorasani Z, Afzal-Aghaea M, Tara M. Development, Validation, and Evaluation of Web-Based Iranian Diabetic Personal Health Record: Rationale for and Protocol of a Randomized Controlled Trial. JMIR Research Protocols 2016;5(1):e39
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Yu CH, Parsons J, Mamdani M, Lebovic G, Shah BR, Bhattacharyya O, Laupacis A, Straus SE. Designing and evaluating a web-based self-management site for patients with type 2 diabetes - systematic website development and study protocol. BMC Medical Informatics and Decision Making 2012;12(1)
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Carter JR, Gezinski LB, Karandikar-Chheda S. A Comprehensive Review of Reproductive Egg Donation Web Sites. Journal of Consumer Health On the Internet 2012;16(1):53
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Pandolfini C, Clavenna A, Bonati M. Quality of cystic fibrosis information on Italian Websites. Informatics for Health and Social Care 2009;34(1):10
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Azizi A, Aboutorabi R, Mazloum-Khorasani Z, Afzal-Aghaea M, Tabesh H, Tara M. Evaluating the Effect of Web-Based Iranian Diabetic Personal Health Record App on Self-Care Status and Clinical Indicators: Randomized Controlled Trial. JMIR Medical Informatics 2016;4(4):e32
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Yu CH, Parsons JA, Hall S, Newton D, Jovicic A, Lottridge D, Shah BR, Straus SE. User-centered design of a web-based self-management site for individuals with type 2 diabetes – providing a sense of control and community. BMC Medical Informatics and Decision Making 2014;14(1)
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Shedlosky‐Shoemaker R, Sturm AC, Saleem M, Kelly KM. Tools for Assessing Readability and Quality of Health‐Related Web Sites. Journal of Genetic Counseling 2009;18(1):49
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Yu CH, Parsons JA, Mamdani M, Lebovic G, Hall S, Newton D, Shah BR, Bhattacharyya O, Laupacis A, Straus SE. A web-based intervention to support self-management of patients with type 2 diabetes mellitus: effect on self-efficacy, self-care and diabetes distress. BMC Medical Informatics and Decision Making 2014;14(1)
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Abdel-Wahab N, Rai D, Siddhanamatha H, Dodeja A, Suarez-Almazor ME, Lopez-Olivo MA, Mehmood R. A comprehensive scoping review to identify standards for the development of health information resources on the internet. PLOS ONE 2019;14(6):e0218342
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Richard J, Schuldiner S, Jourdan N, Daurès J, Vannerau D, Rodier M, Lavit P. The Internet and the diabetic foot: quality of online information in French language. Diabetes & Metabolism 2007;33(3):197
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Yu CH, Bahniwal R, Laupacis A, Leung E, Orr MS, Straus SE. Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association 2012;19(4):514
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Shahar S, Shirley N, Noah SA. Quality and accuracy assessment of nutrition information on the Web for cancer prevention. Informatics for Health and Social Care 2013;38(1):15
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Griffin E, McKenna K, Worrall L. Stroke Education Materials on the World Wide Web: An Evaluation of Their Quality and Suitability. Topics in Stroke Rehabilitation 2004;11(3):29
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Cooper H, Lancaster GA, Gichuru P, Peak M. A mixed methods study to evaluate the feasibility of using the Adolescent Diabetes Needs Assessment Tool App in paediatric diabetes care in preparation for a longitudinal cohort study. Pilot and Feasibility Studies 2018;4(1)
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Robillard JM, Jun JH, Lai J, Feng TL. The QUEST for quality online health information: validation of a short quantitative tool. BMC Medical Informatics and Decision Making 2018;18(1)
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Sheran J, Dachman AH. Quality of CT Colonography–Related Web Sites for Consumers. Journal of the American College of Radiology 2008;5(4):593
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. Health informatics: current issues and challenges. Journal of Information Science 2008;34(4):501
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Bedell SE, Agrawal A, Petersen LE. A systematic critique of diabetes on the world wide web for patients and their physicians. International Journal of Medical Informatics 2004;73(9-10):687
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Sağlam RB, Taşkaya Temizel T. Automatic information timeliness assessment of diabetes web sites by evidence based medicine. Computer Methods and Programs in Biomedicine 2014;117(2):104
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Talmon G, Abrahams NA. The Internet for Pathologists: A Simple Schema for Evaluating Pathology-Related Web Sites and a Catalog of Sites Useful for Practicing Pathologists. Archives of Pathology & Laboratory Medicine 2005;129(6):742
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Vicente-Neira A, Prieto-Gómez V, Navarro-Brazález B, Lirio-Romero C, Bailón-Cerezo J, Torres-Lacomba M. Online Information on Painful Sexual Dysfunction in Women: Quality Analysis of Websites in SPANISH about Dyspareunia, Vaginismus and Vulvodynia. International Journal of Environmental Research and Public Health 2022;19(3):1506
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Bagla P, Kumar K. Breaking down health fakes: a hybrid DNN model for multi-class classification on a self-constructed dataset. Sādhanā 2023;48(4)
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