Effects of Individual Health Topic Familiarity on Activity Patterns during Health Information Searches

JMIR Medical Informatics

Volumn 3, Issue 1, 2015, Pages

  Puspitasari, Ira ^a   Moriyama, Koichi ^a   Fukui, Ken Ichi ^a   Numao, Masayuki ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

Health information search; Health search activity pattern; Health topic familiarity; Sequence of search activities

Indexed keywords

EID: 84963741776     PISSN: None     EISSN: 22919694     Source Type: Journal    
DOI: 10.2196/medinform.3803     Document Type: Article

References (45)

1. Atkinson NL, Saperstein SL, Pleis J. Using the internet for health-related activities: Findings from a national probability sample. J Med Internet Res 2009;11(1):e4 [FREE Full text] [doi: 10.2196/jmir.1035] [Medline: 19275980].
2. Beck F, Richard JB, Nguyen-Thanh V, Montagni I, Parizot I, Renahy E. Use of the internet as a health information resource among French young adults: Results from a nationally representative survey. J Med Internet Res 2014;16(5):e128 [FREE Full text] [doi: 10.2196/jmir.2934] [Medline: 24824164].
3. Bianco A, Zucco R, Nobile CGA, Pileggi C, Pavia M. Parents seeking health-related information on the Internet: Cross-sectional study. J Med Internet Res 2013;15(9):e204 [FREE Full text] [doi: 10.2196/jmir.2752] [Medline: 24047937].
4. Fox S, Duggan M. The social life of health information. 2013. URL: Http://www.pewinternet.org/files/old-media//Files/Reports/PIP-HealthOnline.pdf [accessed 2014-08-19] [WebCite Cache ID 6Rw8BO5oC].
5. Davis LE, Blisard KS, Kornfeld M. The influenza B virus mouse model of Reye's syndrome: Clinical, virologic and morphologic studies of the encephalopathy. J Neurol Sci 1990 Jul;97(2-3):221-231. [Medline: 2169526].
6. Zeng QT, Tse T. Exploring and developing consumer health vocabularies. J Am Med Inform Assoc 2006;13(1):24-29 [FREE Full text] [doi: 10.1197/jamia.M1761] [Medline: 16221948].
7. Zeng QT, Tse T, Crowell J, Divita G, Roth L, Browne AC. Identifying consumer-friendly display (CFD) names for health concepts. AMIA Annu Symp Proc 2005:859-863 [FREE Full text] [Medline: 16779162].
8. Peterson G, Aslani P, Williams KA. How do consumers search for and appraise information on medicines on the Internet? A qualitative study using focus groups. J Med Internet Res 2003 Dec 19;5(4):e33 [FREE Full text] [doi: 10.2196/jmir.5.4.e33] [Medline: 14713661].
9. Soergel D, Tse T, Slaughter L. Helping healthcare consumers understand: An "interpretive layer" for finding and making sense of medical information. Stud Health Technol Inform 2004;107(Pt 2):931-935. [Medline: 15360949].
10. Zeng QT, Crowell J, Plovnick RM, Kim E, Ngo L, Dibble E. Assisting consumer health information retrieval with query recommendations. J Am Med Inform Assoc 2006;13(1):80-90 [FREE Full text] [doi: 10.1197/jamia.M1820] [Medline: 16221944].
11. Luo G, Tang C, Yang H, Wei X. MedSearch: A Specialized Search Engine for Medical Information Retrieval. In: Proceedings of the 17th ACM conference on Information and knowledge management. California, USA: ACM; 2008 Presented at: The 17th ACM Conference on Information and Knowledge Management; 2008; New York p. 26-30. [doi: 10.1145/1458082.1458104].
12. Can AB, Baykal N. MedicoPort: A medical search engine for all. Comput Methods Programs Biomed 2007 Apr;86(1):73-86. [doi: 10.1016/j.cmpb.2007.01.007] [Medline: 17321002].
13. Walther JB, Pingree S, Hawkins RP, Buller DB. Attributes of interactive online health information systems. J Med Internet Res 2005 Jul 1;7(3):e33 [FREE Full text] [doi: 10.2196/jmir.7.3.e33] [Medline: 15998624].
14. Zeng Q, Kim E, Crowell J, Tse T. In: Oliveira JR, Maojo V, Martín-Sánchez F, Pereira AS, editors. A text corpora-based estimation of the familiarity of health terminology. In Berlin, Germany: Springer Berlin Heidelberg; 2005:184-192.
15. Keselman A, Tse T, Crowell J, Browne A, Ngo L, Zeng Q. Assessing consumer health vocabulary familiarity: An exploratory study. J Med Internet Res 2007;9(1):e5 [FREE Full text] [doi: 10.2196/jmir.9.1.e5] [Medline: 17478414].
16. Zeng-Treitler Q, Goryachev S, Tse T, Keselman A, Boxwala A. Estimating consumer familiarity with health terminology: A context-based approach. J Am Med Inform Assoc 2008;15(3):349-356 [FREE Full text] [doi: 10.1197/jamia.M2592] [Medline: 18308983].
17. Leroy G, Endicott JE, Kauchak D, Mouradi O, Just M. User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention. J Med Internet Res 2013;15(7):e144 [FREE Full text] [doi: 10.2196/jmir.2569] [Medline: 23903235].
18. Kandula S, Curtis D, Zeng-Treitler Q. A semantic and syntactic text simplification tool for health content. AMIA Annu Symp Proc 2010;2010:366-370 [FREE Full text] [Medline: 21347002].
19. Paukkeri M, Ollikainen M, Honkela T. Assessing user-specific difficulty of documents. Information Processing & Management 2013 Jan;49(1):198-212. [doi: 10.1016/j.ipm.2012.04.001].
20. European Patients'Academy on Therapeutic Innovation. 2013. URL: Http://www.patientsacademy.eu/index.php/en/[accessed 2014-10-24] [WebCite Cache ID 6TYvx7QdH].
21. White RW, Dumais ST, Teevan J. Characterizing the influence of domain expertise on web search behavior. New York: ACM; 2009 Presented at: The 2nd ACM International Conference on Web Search and Data Mining; Feb 9-11, 2009; Barcelona, Spain p. 132-141. [doi: 10.1145/1498759.1498819].
22. Vakkari P, Pennanen M, Serola S. Changes of search terms and tactics while writing a research proposal. Information Processing & Management 2003 May;39(3):445-463. [doi: 10.1016/S0306-4573(02)00031-6].
23. Wildemuth BM. The effects of domain knowledge on search tactic formulation. J Am Soc Inf Sci 2004 Feb 01;55(3):246-258. [doi: 10.1002/asi.10367].
24. Hu R, Lu K, Joo S. Effects of topic familiarity and search skills on query reformulation behavior. Proc Am Soc Info Sci Tech 2014 May 08;50(1):1-9. [doi: 10.1002/meet.14505001062].
25. Xie I, Joo S. Factors affecting the selection of search tactics: Tasks, knowledge, process, and systems. Information Processing & Management 2012 Mar;48(2):254-270. [doi: 10.1016/j.ipm.2011.08.009].
26. Bhavnani S. Important cognitive components of domain-specific search knowledge. 2001 Nov 13 Presented at: Proceedings of TREC; 2001; Maryland, USA p. 571-578.
27. Aula A, Jhaveri N, Käki M. Information search and re-access strategies of experienced web users. New York: ACM; 2005 Presented at: The 14th ACM International Conference on World Wide Web; Dec 12-15, 2005; Amsterdam, The Netherlands p. 585-592. [doi: 10.1145/1060745.1060831].
28. Thatcher A. Web search strategies: The influence of Web experience and task type. Information Processing & Management 2008 May;44(3):1308-1329. [doi: 10.1016/j.ipm.2007.09.004].
29. Xie I. Interactive Information Retrieval in Digital Environments. Hershey, USA: IGI Global; 2008.
30. Xie I, Joo S. Transitions in search tactics during the Web-based search process. J Am Soc Inf Sci 2010 Jul 23;61(11):2188-2205. [doi: 10.1002/asi.21391].
31. Yue Z, Han S, He D. A Comparison of Action Transitions in Individual and Collaborative Exploratory Web Search. In: Information Retrieval Technology. Berlin, Germany: Springer Berlin Heidelberg; 2012 Presented at: 8th Asia Information Retrieval Societies Conference; December 17-19, 2012; Tianjin, China p. 52-63. [doi: 10.1007/978-3-642-35341-3-5].
32. Chen H, Cooper MD. Stochastic modeling of usage patterns in a web-based information system. J Am Soc Inf Sci 2002;53(7):536-548. [doi: 10.1002/asi.10076].
33. Lin J, Wilbur WJ. Modeling Actions of PubMed Users with N-Gram Language Models. Inf Retr Boston 2008 Sep 12;12:487-503 [FREE Full text] [doi: 10.1007/s10791-008-9067-7] [Medline: 19684883].
34. Yahoo Health. Health Topics: Common Health Topics. 2014. URL: Http://web.archive.org/web/20140207082343/http://health.yahoo.net/directory/health-channels [accessed 2014-07-26] [WebCite Cache ID 6RMjvqP3R].
35. Parker RM, Baker DW, Williams MV, Nurss JR. The test of functional health literacy in adults: A new instrument for measuring patients' literacy skills. J Gen Intern Med 1995 Oct;10(10):537-541. [Medline: 8576769].
36. Camstudio Open Source Free Streaming Video Software. 2013. URL: Http://camstudio.org/[accessed 2014-07-28] [WebCite Cache ID 6ROd3Jfgm].
37. Manning CD, Schütze H. Foundations of statistical natural language processing. Cambridge, Mass: MIT Press; 1999.
38. Stolcke A. SRILM-an extensible language modeling toolkit. 2002 Presented at: 7th International Conference on Spoken Language Processing; 2002; Denver, USA p. 901-904.
39. Witten I, Bell T. The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression. IEEE Trans. Inform. Theory 1991;37(4):1085-1094. [doi: 10.1109/18.87000].
40. Chen SF, Beeferman D, Rosenfield R. Evaluation metrics for language models. 1998 Presented at: DARPA Broadcast News Transcription and Understanding Workshop; 1998; Lansdowne, USA p. 275-280.
41. Liu J, Liu C, Belkin N. Examining the effects of task topic familiarity on searchers' behaviors in different task types. Proc Am Soc Info Sci Tech 2014 May 08;50(1):1-10. [doi: 10.1002/meet.14505001033].
42. Zhang X, Anghelescu HG, Yuan X. Domain knowledge, search behavior, and search effectiveness of engineering and science students: An exploratory study. Information research 2005 Jan;10(2).
43. Hembrooke HA, Granka LA, Gay GK, Liddy ED. The effects of expertise and feedback on search term selection and subsequent learning. J Am Soc Inf Sci 2005 Jun;56(8):861-871. [doi: 10.1002/asi.20180].
44. McLaughlin GH. SMOG grading: A new readability formula. Journal of Reading 1969;12(8):639-646.
45. Fitzsimmons PR, Michael BD, Hulley JL, Scott GO. A readability assessment of online Parkinson's disease information. J R Coll Physicians Edinb 2010 Dec;40(4):292-296. [doi: 10.4997/JRCPE.2010.401] [Medline: 21132132]