Published on 14.03.07 in Vol 9, No 1 (2007)
Works citing "Assessing Consumer Health Vocabulary Familiarity: An Exploratory Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9.1.e5):
(note that this is only a small subset of citations)
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Wong-Parodi G, Bruine de Bruin W. Informing Public Perceptions About Climate Change: A ‘Mental Models’ Approach. Science and Engineering Ethics 2017;23(5):1369
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Deuster L, Christopher S, Donovan J, Farrell M. A Method to Quantify Residents’ Jargon Use During Counseling of Standardized Patients About Cancer Screening. Journal of General Internal Medicine 2008;23(12):1947
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Wu DTY, Xin C, Bindhu S, Xu C, Sachdeva J, Brown JL, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123
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Kind EA, Fowles JB, Craft CE, Kind AC, Richter SA. No Change in Physician Dictation Patterns When Visit Notes Are Made Available Online for Patients. Mayo Clinic Proceedings 2011;86(5):397
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Willinsky J, Quint-Rapoport M. How Complementary and Alternative Medicine Practitioners Use PubMed. Journal of Medical Internet Research 2007;9(2):e19
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Damman OC, van den Hengel YK, van Loon AJM, Rademakers J. An International Comparison of Web-based Reporting About Health Care Quality: Content Analysis. Journal of Medical Internet Research 2010;12(2):e8
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Zhang J, Wolfram D, Wang P, Hong Y, Gillis R. Visualization of health‐subject analysis based on query term co‐occurrences. Journal of the American Society for Information Science and Technology 2008;59(12):1933
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Penaranda E, Diaz M, Noriega O, Shokar N. Evaluation of Health Literacy among Spanish-Speaking Primary Care Patients Along the US–Mexico Border. Southern Medical Journal 2012;105(7):334
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Puspitasari I, Moriyama K, Fukui K, Numao M. Effects of Individual Health Topic Familiarity on Activity Patterns During Health Information Searches. JMIR Medical Informatics 2015;3(1):e16
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Kandula S, Ancker JS, Kaufman DR, Currie LM, Zeng-Treitler Q. A new adaptive testing algorithm for shortening health literacy assessments. BMC Medical Informatics and Decision Making 2011;11(1)
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Franck MCJ, Foulon V, Van Vaerenbergh L. ABOP, the automatic patient information leaflet optimizer: Evaluation of a tool in development. Patient Education and Counseling 2011;83(3):411
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Hou L, Kang H, Liu Y, Li L, Li J. Mining and standardizing chinese consumer health terms. BMC Medical Informatics and Decision Making 2018;18(S5)
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Zeng-Treitler Q, Goryachev S, Tse T, Keselman A, Boxwala A. Estimating Consumer Familiarity with Health Terminology: A Context-based Approach. Journal of the American Medical Informatics Association 2008;15(3):349
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Pander Maat H, Lentz L. Improving the usability of patient information leaflets. Patient Education and Counseling 2010;80(1):113
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Keselman A, Smith CA, Divita G, Kim H, Browne AC, Leroy G, Zeng-Treitler Q. Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?. Journal of the American Medical Informatics Association 2008;15(4):496
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Paukkeri M, Ollikainen M, Honkela T. Assessing user-specific difficulty of documents. Information Processing & Management 2013;49(1):198
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Pander Maat H, Essink-Bot M, Leenaars KE, Fransen MP. A short assessment of health literacy (SAHL) in the Netherlands. BMC Public Health 2014;14(1)
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Sander U, Kolb B, Taheri F, Patzelt C, Emmert M. Verstehen Laien Informationen über die Krankenhausqualität? Eine empirische Überprüfung am Beispiel der risikoadjustierten Mortalität. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2017;127-128:21
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Lau AY, Coiera EW. Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment. Journal of Medical Internet Research 2008;10(1):e2
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MacLean DL, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. Journal of the American Medical Informatics Association 2013;20(6):1120
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Wong-Parodi G, Bruine de Bruin W, Canfield C. Effects of simplifying outreach materials for energy conservation programs that target low-income consumers. Energy Policy 2013;62:1157
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Lee SD, Stucky BD, Lee JY, Rozier RG, Bender DE. Short Assessment of Health Literacy—Spanish and English: A Comparable Test of Health Literacy for Spanish and English Speakers. Health Services Research 2010;45(4):1105
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Yu B, He Z, Xing A, Lustria MLA. An Informatics Framework to Assess Consumer Health Language Complexity Differences: Proof-of-Concept Study. Journal of Medical Internet Research 2020;22(5):e16795
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Banbury A, Parkinson L, Nancarrow S, Dart J, Gray L, Buckley J. Multi-site videoconferencing for home-based education of older people with chronic conditions: the Telehealth Literacy Project. Journal of Telemedicine and Telecare 2014;20(7):353
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Sharon AJ, Baram-Tsabari A. Measuring mumbo jumbo: A preliminary quantification of the use of jargon in science communication. Public Understanding of Science 2014;23(5):528
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van Mens HJ, Martens SS, Paiman EH, Mertens AC, Nienhuis R, de Keizer NF, Cornet R. Diagnosis clarification by generalization to patient-friendly terms and definitions: Validation study. Journal of Biomedical Informatics 2022;129:104071
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Zhang Z, Kmoth L, Luo X, He Z. User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study. JMIR Human Factors 2021;8(4):e26017
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Huang J, Wu X, Wen J, Huang C, Luo M, Liu L, Zheng Y. Evaluating Familiarity Ratings of Domain Concepts with Interpretable Machine Learning: A Comparative Study. Applied Sciences 2023;13(23):12818
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. Improvement and evaluation of readability of Japanese health information texts. Library and Information Science 2011;65:1
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9.1.e5):
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Friedman C, Elhadad N. Biomedical Informatics. 2014. Chapter 8:255
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Col N, Correa-de-Araujo R. Clinical Decision Support. 2014. :741
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Keselman A, Massengale L, Ngo L, Browne A, Zeng Q. Biological and Medical Data Analysis. 2006. Chapter 43:472
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Vezzani F, Di Nunzio GM. Digital Libraries: Supporting Open Science. 2019. Chapter 6:72
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Puspitasari I, Fukui K, Moriyama K, Numao M. PRICAI 2014: Trends in Artificial Intelligence. 2014. Chapter 88:1016
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Morato J, Campillo A, Sanchez-Cuadrado S, Iglesias A. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. 2021. Chapter 68:905
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Demner-Fushman D, Elhadad N, Friedman C. Biomedical Informatics. 2021. Chapter 8:241
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