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Citing this Article

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Published on 14.03.07 in Vol 9, No 1 (2007)

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

Works citing "Assessing Consumer Health Vocabulary Familiarity: An Exploratory Study"

Alla Keselman, Tony Tse, Jon Crowell, Allen Browne, Long Ngo, Qing Zeng

J Med Internet Res 2007 (Mar 14); 9(1):e5 

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)

  1. 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
    CrossRef
  2. 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
    CrossRef
  3. 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
    CrossRef
  4. 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
    CrossRef
  5. Willinsky J, Quint-Rapoport M. How Complementary and Alternative Medicine Practitioners Use PubMed. Journal of Medical Internet Research 2007;9(2):e19
    CrossRef
  6. 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
    CrossRef
  7. 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
    CrossRef
  8. 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
    CrossRef
  9. 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
    CrossRef
  10. 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)
    CrossRef
  11. 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
    CrossRef
  12. 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)
    CrossRef
  13. 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
    CrossRef
  14. Pander Maat H, Lentz L. Improving the usability of patient information leaflets. Patient Education and Counseling 2010;80(1):113
    CrossRef
  15. 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
    CrossRef
  16. Paukkeri M, Ollikainen M, Honkela T. Assessing user-specific difficulty of documents. Information Processing & Management 2013;49(1):198
    CrossRef
  17. 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)
    CrossRef
  18. 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
    CrossRef
  19. 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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  20. 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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  21. 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
    CrossRef
  22. 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
    CrossRef
  23. 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
    CrossRef
  24. 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
    CrossRef
  25. 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
    CrossRef
  26. 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
    CrossRef
  27. 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
    CrossRef
  28. 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
    CrossRef
  29. . Improvement and evaluation of readability of Japanese health information texts. Library and Information Science 2011;65:1
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9.1.e5):

  1. Friedman C, Elhadad N. Biomedical Informatics. 2014. Chapter 8:255
    CrossRef
  2. Col N, Correa-de-Araujo R. Clinical Decision Support. 2014. :741
    CrossRef
  3. Keselman A, Massengale L, Ngo L, Browne A, Zeng Q. Biological and Medical Data Analysis. 2006. Chapter 43:472
    CrossRef
  4. Vezzani F, Di Nunzio GM. Digital Libraries: Supporting Open Science. 2019. Chapter 6:72
    CrossRef
  5. Puspitasari I, Fukui K, Moriyama K, Numao M. PRICAI 2014: Trends in Artificial Intelligence. 2014. Chapter 88:1016
    CrossRef
  6. Morato J, Campillo A, Sanchez-Cuadrado S, Iglesias A. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. 2021. Chapter 68:905
    CrossRef
  7. Demner-Fushman D, Elhadad N, Friedman C. Biomedical Informatics. 2021. Chapter 8:241
    CrossRef