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(1)An Analysis of the Questions of Online Consumer Medication Information Service. ○.

(2) 2. 2. 13-25 26-35. 2. II!! !. 26-35. 36.

(3) Abstract Due to the development of the Internet, online medical consultation has become another source for consumers to search for medical information. Medication consultation is one of the medical consultation, and drug treatment acts an important role in the course of treatment for the patients. Patients’ health will be improved by following the medical compliance. Based on different demographic differences, the demand for the medical advice are also different. Thus, the research is based on the differences of gender and age, and sets to analyze the expression and behavioral characteristics of the online medication consultation. This study content analyzed 1302 medication consultation questions posted on Taiwan e-Doctor platform, an official online medical consultation service supported by Ministry of Health and Welfare in Taiwan. It is aimed to provide insights and understanding into people’s information need for medication. In the research, the gender shows much more difference through the content and structure of the questions. The female askers are more likely to provide more personal information than the male counterpart shown in the questions. Comparatively, the age illustrates less influence. The questions raised by the female askers show more diversity than the male, but they both focus on the side effects and treatment, indications, and the useage information. The theme that most people concern is similar, but there are slightly different in the secondary category of theme. Askers aged between 13 to 25 years old and the age 36 years old have more question about side effects and treatment than the group between the age 26 to 35 years old. The group between the age 26 to35 years old are more concerned with the classification of drugs than other groups. This study explores the characteristics expression and medication information requirement of each group for medication consultation through the online medication consultation. The results of the study will provide references to users of online medication consultation services, professional medical personnel and drug information providers. Keywords: Online Medication Counseling; Consumer Health Information; Content Analysis. III! ! !.

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(7) ! 1-3-1. ............................................................................. 6. 2-2-1 Druginfonet. .......................................................................................... 14. 2-2-2 drugs.com. ............................................................................................. 14. 2-2-3 WebMD. ................................................................................................ 15. 2-2-4 RateADrug 2-2-5 2-2-6. ............................................................................................ 16 -. E. .......................................... 16 ............................................................................... 17. 2-2-7 KingNet. ................................................................................ 17. 2-2-8 5914. .............................................................................................. 18. 2-4-1. ................................................................... 28. 2-4-2. ................................................................................... 30. 3-1-1. E. ............................................................................... 35. 3-1-2 3-1-3. ....................................................................................... 35 Q&A. ............................................................................ 36. 3-2-1. ................................................................................................... 40. 3-5-1. ........................................................... 52. 4-1-1. E. ........................................................... 54. VII! ! !.

(8) !. !. !. 2 0. 2. E. 93 American Pharmacy. 2000 1774. 1995. 766. 2002. 5. 2002 8. 1 2008. medication error adverse effect 1!! !. 2.

(9) 2015. 90%2. 2014. 2015 2015. 2 2016 medication error adverse effect. 2002 2012. 1,093 1. 4. 2 2012. 2!! !.

(10) !. 2. 2012. Hermann et al., 1978; Vander Stichele et al., 1991; Bandesha et al.,1996; Baker, 1997. Wolf. Davis. Tilson. Bass III. Parke 2006. 2 The Association of British Pharmaceutical Industry, ABPI. 2 Gazmararian, Baker,. Williams, Parker, Scott, Green. Koplan, 1999. Schillinger, Grumbach, Piette, Wang, Osmond, Daher. Bindman, 2002. 2. 2004 3!! !.

(11) Johnson. Deering & Harris. 1993. 1996. 2. 2 25. 44. 2004. Spink et al., 2004; Zeng et al., 2006. Oh, Yi, & Worrall,. 2 2012. !. !. ! 2. 2. 4!! !.

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(14) Adherence or Compliance. Sabaté, 2003. Haynes. Taylor. !. 1979. E. !. Patient Counseling 2001. 11. 48 (1). (2). (3). (4). (5) (6). (7). (8). (9). 2. (10). (11). 2 2. 0. /. 16. Online Pharmacy Consultation Food and Drug Administrations. Zeman, 2001. wiseGeek. E. 7!! !. !.

(15) Medicine Information Needs Ocheibi. !. Buba 2003 2. Raynor, Savage, Knapp & Henley, 2004. Health belief. !. Health Belief Model. 1950. 2. Social Q&A. !. web2.0. 2 Shah, Oh & Oh. 2009. (1) (2). 2 (3) 2. 8!! !.

(16) !. !. !. !. ! ! Wolf. Sangl 1996. 1. 2 3. 4. Elliot & Polkinhorn (1994) Consumer Health Information. Medical Library Association. Consumer and. Patient Health Information Section of Medical Library Association. Consumer and Patient Health Information Section of Medical Library Association, 1996 60. 0. 2. 9!! !.

(17) Patient Information Deering & Harris. 1996 1. Medical instructions. 2. Decision support information. 3. Medical records. 4. Health education 5. 2. Self-care information 2. 6. Health care shopping information Quality in care information 7. Alternative medicine. 0 The Pew Internet Project. 59%. 80% Fox, 2011. 2002 1.. 3.. 2.. 4.. 5.. 6.. 7. 8.. 9.. 10.. 10! ! !.

(18) Sangl &. 2 Wolf, 1996. Zhang, 2010. ;. 2 Deering & Harris, 1996. 2 2 2010. !. Renahy, Parizot & Chauvin, 2010 Life Project. Pew Research Center’s Internet & American. 2013. Rice, 2006. 81%. 59 Fox & Duggan, 2013. 0. 2. 2. 3. 11! ! !.

(19) architectural difference. 2. digitization of information 2010 30. —. 2. Barak & Grohol, 2011. “end-user” value. 53.9% 43.2%. 55.6%. 26.7%. 80% 65% 2007 0 2. 2. 2003. Harris. 1995. 2. KingNet 92. 1,501. 2 12! ! !.

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(22) Drugs & Supplements A. Z. 2-2-3 WebMD RateADrug http://www.rateadrug.com/. RateADrug.com “Evaluate Your Treatment”. 15! ! !.

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(74) ◎. 1. 0.2%. 0.1%. 0.0%. 0.6%. 0.9%. 37. 11. 4. 38. 90. 2.9%. 0.9%. 0.3%. 3.0%. 7.1%. 19. 11. 1. 22. 53. 1.5%. 0.9%. 0.1%. 1.7%. 4.2%. 12. 6. 0. 4. 22. 0.9%. 0.5%. 0.0%. 0.3%. 1.7%. 683. 173. 26. 390. 1272. 53.7%. 13.6%. 2.0%. 30.7%. 100.0%. c h. c s. c. c. c. 4-3-5 64 4 ◎. 1. l. ◎. (. c. 3. 2. .. 4. /. 3. / 947. 4. 36. 2 4-3-5 ◎ c c c. 1. 171. 48. 4. 140. 363. 13.4%. 3.8%. 0.3%. 11.0%. 28.5%. 11. 0. 0. 4. 15. 0.9%. 0.0%. 0.0%. 0.3%. 1.2%. 7. 1. 1. 5. 14. 0.6%. 0.1%. 0.1%. 0.4%. 1.1%. 2. 28. 0. 9. 39. 67! ! !.

(75) c c c c c c c c c c c c. E. ◎. 1. 0.2%. 2.2%. 0.0%. 0.7%. 3.1%. 11. 10. 3. 11. 35. 0.9%. 0.8%. 0.2%. 0.9%. 2.8%. 9. 1. 0. 3. 13. 0.7%. 0.1%. 0.0%. 0.2%. 1.0%. 3. 3. 0. 2. 8. 0.2%. 0.2%. 0.0%. 0.2%. 0.6%. 72. 15. 1. 26. 114. 5.7%. 1.2%. 0.1%. 2.0%. 9.0%. 16. 2. 1. 7. 26. 1.3%. 0.2%. 0.1%. 0.6%. 2.0%. 101. 18. 6. 102. 227. 7.9%. 1.4%. 0.5%. 8.0%. 17.8%. 177. 22. 4. 27. 230. 13.9%. 1.7%. 0.3%. 2.1%. 18.1%. 30. 14. 2. 18. 64. 2.4%. 1.1%. 0.2%. 1.4%. 5.0%. 58. 7. 3. 30. 98. 4.6%. 0.6%. 0.2%. 2.4%. 7.7%. 15. 4. 1. 6. 26. 1.2%. 0.3%. 0.1%. 0.5%. 2.0%. 683. 173. 26. 390. 1272. 53.7%. 13.6%. 2.0%. 30.7%. 100.0%. : l 4. .. :. : c0. c1 4-3-6. 2 13-25 n=113 :. n=180. e n=98 e. 2 e 68! ! !. (.

(76) / 3 ?. B 13-25. 243 26-35. e. 1. .. A. (. 1 387 36. 5 26-35. 2. e. 1. e. /. h. :. 325. 36. .. 2. :. 2 36. , 2. B. . 230 69! ! !. 36. 2. 64.

(77) 0. 639. C. 36. 2. : e 2. : :. 4. 13-25. 26-35. e. 36. 26-35. ( 4-3-6. 13-25. :. e c. c. c. c. c. c. c. c 70! ! !. 48. 132. 180. 10.5%. 28.8%. 39.3%. 5. 4. 9. 1.1%. 0.9%. 2.0%. 5. 13. 18. 1.1%. 2.8%. 3.9%. 1. 2. 3. 0.2%. 0.4%. 0.7%. 26. 40. 66. 5.7%. 8.7%. 14.4%. 8. 14. 22. 1.7%. 3.1%. 4.8%. 39. 74. 113. 8.5%. 16.2%. 24.7%. 25. 73. 98. 5.5%. 15.9%. 21.4%.

(78) c. c. c e c s c h c s c. c. c 26-35. e c. c. c. c. 71! ! !. 16. 44. 60. 3.5%. 9.6%. 13.1%. 19. 59. 78. 4.1%. 12.9%. 17.0%. 4. 15. 19. 0.9%. 3.3%. 4.1%. 0. 14. 14. 0.0%. 3.1%. 3.1%. 0. 3. 3. 0.0%. 0.7%. 0.7%. 15. 22. 37. 3.3%. 4.8%. 8.1%. 4. 15. 19. 0.9%. 3.3%. 4.1%. 1. 7. 8. 0.2%. 1.5%. 1.7%. 135. 323. 458. 29.5%. 70.5%. 100.0%. 46. 104. 150. 8.7%. 19.7%. 28.4%. 3. 9. 12. 0.6%. 1.7%. 2.3%. 5. 9. 14. 0.9%. 1.7%. 2.7%. 4. 6. 10. 0.8%. 1.1%. 1.9%.

(79) c. c. c. c. c. c. c e c s c h c s c. c. c. 72! ! !. 14. 39. 53. 2.7%. 7.4%. 10.0%. 6. 29. 35. 1.1%. 5.5%. 6.6%. 42. 69. 111. 8.0%. 13.1%. 21.0%. 43. 69. 112. 8.1%. 13.1%. 21.2%. 16. 39. 55. 3.0%. 7.4%. 10.4%. 25. 73. 98. 4.7%. 13.8%. 18.6%. 7. 75. 82. 1.3%. 14.2%. 15.5%. 10. 15. 25. 1.9%. 2.8%. 4.7%. 1. 3. 4. 0.2%. 0.6%. 0.8%. 12. 16. 28. 2.3%. 3.0%. 5.3%. 8. 16. 24. 1.5%. 3.0%. 4.5%. 3. 9. 12. 0.6%. 1.7%. 2.3%. 157. 371. 528. 29.7%. 70.3%. 100.0%.

(80) 36 2. e c. c. c. c. c. c. c. c. c. c. c e c s c. 73! ! !. 44. 63. 107. 15.4%. 22.0%. 37.4%. 1. 2. 3. 0.3%. 0.7%. 1.0%. 10. 7. 17. 3.5%. 2.4%. 5.9%. 3. 2. 5. 1.0%. 0.7%. 1.7%. 16. 14. 30. 5.6%. 4.9%. 10.5%. 7. 9. 16. 2.4%. 3.1%. 5.6%. 25. 38. 63. 8.7%. 13.3%. 22.0%. 27. 32. 59. 9.4%. 11.2%. 20.6%. 21. 13. 34. 7.3%. 4.5%. 11.9%. 18. 28. 46. 6.3%. 9.8%. 16.1%. 4. 14. 18. 1.4%. 4.9%. 6.3%. 9. 6. 15. 3.1%. 2.1%. 5.2%. 1. 3. 4. 0.3%. 1.0%. 1.4%.

(81) h c s c. c. c. 74! ! !. 14. 11. 25. 4.9%. 3.8%. 8.7%. 5. 5. 10. 1.7%. 1.7%. 3.5%. 0. 2. 2. 0.0%. 0.7%. 0.7%. 133. 153. 286. 46.5%. 53.5%. 100.0%.

(82) 4-3-7 / 123. 5. 5. 8. 4. 6. 1. 50. 8. 61. 72. 29. 54. 11. 33.9 %. 33.3 %. 35.7 %. 20.5 %. 11.4 %. 46.2 %. 12.5 %. 43.9 %. 30.8 %. 26.9 %. 31.3 %. 45.3 %. 55.1 %. 42.3%. 6. 5. 0. 1. 0. 0. 5. 0. 0. 2. 3. 2. 0. 0. 1.7 %. 33.3 %. 0.0 %. 2.6%. 0.0 %. 0.0 %. 62.5 %. 0.0%. 0.0%. 0.9%. 1.3%. 3.1%. 0.0%. 0.0%. 18. 2. 0. 2. 2. 1. 0. 4. 3. 3. 7. 4. 3. 0. 5.0 %. 13.3 %. 0.0 %. 5.1%. 5.7 %. 7.7 %. 0.0%. 3.5%. 11.5 %. 1.3%. 3.0%. 6.3%. 3.1%. 0.0%. 16. 0. 0. 0. 0. 0. 0. 0. 0. 2. 0. 0. 0. 0. 4.4 %. 0.0 %. 0.0 %. 0.0%. 0.0 %. 0.0 %. 0.0%. 0.0%. 0.0%. 0.9%. 0.0%. 0.0%. 0.0%. 0.0%. 52. 2. 1. 5. 2. 0. 1. 16. 3. 22. 21. 4. 16. 4. 14.3 %. 13.3 %. 7.1 %. 12.8 %. 5.7 %. 0.0 %. 12.5 %. 14.0 %. 11.5 %. 9.7%. 9.1%. 6.3%. 16.3 %. 15.4%. 27. 0. 1. 2. 2. 1. 0. 9. 4. 15. 5. 5. 2. 0. 7.4 %. 0.0 %. 7.1 %. 5.1%. 5.7 %. 7.7 %. 0.0%. 7.9%. 15.4 %. 6.6%. 2.2%. 7.8%. 2.0%. 0.0%. 84. 3. 4. 9. 12. 3. 0. 41. 6. 53. 28. 18. 20. 6. ! 75! !. 437. 24. 49. 18. 149. 73. 287.

(83) / 23.1 %. 20.0 %. 28.6 %. 23.1 %. 34.3 %. 23.1 %. 0.0%. 36.0 %. 23.1 %. 23.3 %. 12.2 %. 28.1 %. 20.4 %. 23.1%. 72. 3. 2. 11. 5. 1. 1. 20. 9. 47. 48. 16. 29. 5. 19.8 %. 20.0 %. 14.3 %. 28.2 %. 14.3 %. 7.7 %. 12.5 %. 17.5 %. 34.6 %. 20.7 %. 20.9 %. 25.0 %. 29.6 %. 19.2%. 42. 2. 2. 5. 6. 1. 1. 17. 2. 40. 13. 5. 8. 5. 11.6 %. 13.3 %. 14.3 %. 12.8 %. 17.1 %. 7.7 %. 12.5 %. 14.9 %. 7.7%. 17.6 %. 5.7%. 7.8%. 8.2%. 19.2%. 63. 2. 5. 13. 11. 6. 1. 21. 5. 41. 30. 6. 15. 3. 17.4 %. 13.3 %. 35.7 %. 33.3 %. 31.4 %. 46.2 %. 12.5 %. 18.4 %. 19.2 %. 18.1 %. 13.0 %. 9.4%. 15.3 %. 11.5%. 5. 0. 0. 4. 0. 0. 0. 5. 0. 4. 97. 0. 4. 0. 1.4 %. 0.0 %. 0.0 %. 10.3 %. 0.0 %. 0.0 %. 0.0%. 4.4%. 0.0%. 1.8%. 42.2 %. 0.0%. 4.1%. 0.0%. 22. 1. 1. 2. 1. 1. 0. 3. 1. 3. 2. 5. 11. 1. 6.1 %. 6.7 %. 7.1 %. 5.1%. 2.9 %. 7.7 %. 0.0%. 2.6%. 3.8%. 1.3%. 0.9%. 7.8%. 11.2 %. 3.8%. 4. 0. 0. 0. 0. 0. 0. 2. 0. 4. 1. 0. 0. 0. 1.1 %. 0.0 %. 0.0 %. 0.0%. 0.0 %. 0.0 %. 0.0%. 1.8%. 0.0%. 1.8%. 0.4%. 0.0%. 0.0%. 0.0%. 41. 0. 0. 1. 1. 0. 1. 5. 2. 17. 5. 5. 11. 1. ! 76! !. 269. 149. 222. 119. 54. 11. 90.

(84) / 11.3 %. 0.0 %. 0.0 %. 2.6%. 2.9 %. 0.0 %. 12.5 %. 4.4%. 7.7%. 7.5%. 2.2%. 7.8%. 11.2 %. 3.8%. 12. 1. 1. 1. 1. 0. 1. 5. 1. 23. 3. 1. 1. 2. 3.3 %. 6.7 %. 7.1 %. 2.6%. 2.9 %. 0.0 %. 12.5 %. 4.4%. 3.8%. 10.1 %. 1.3%. 1.6%. 1.0%. 7.7%. 6. 0. 0. 1. 0. 0. 1. 0. 0. 11. 2. 1. 0. 0. 1.7 %. 0.0 %. 0.0 %. 2.6%. 0.0 %. 0.0 %. 12.5 %. 0.0%. 0.0%. 4.8%. 0.9%. 1.6%. 0.0%. 0.0%. 363. 15. 14. 39. 35. 13. 8. 114. 26. 227. 230. 64. 98. 26. 1272. 28.5 %. 1.2 %. 1.1 %. 3.1%. 2.8 %. 1.0 %. 0.6%. 9.0%. 2.0%. 17.8 %. 18.1 %. 5.0%. 7.7%. 2.0%. 100.0 %. ! 77! !. 53. 22.

(85) 4-3-7 28.5%. 18.1%. 17.8%. 3 . -. 710/. 1. 13-25. 2010. 10% " 808. 42.2%. " 24. 26-35. 78! ! !. 13-25. 2.

(86) (. 0 1. 119. 13-25. 2 (. ). 143. 26-35. ( ,. !. E. / / 4-3-9. !2 13-25. =. 26. =53.671 p<0.001. 4-3-8. 36. 26-35. 13-25. 26-35. 36. 13-25. !2 13-25. =. 26. =53.671. p<0.01. 4-4-. 26-35. 36. !2(13) 36.562. 13-25 p=.000. !2(13) 55.336 p=.000 !2(13) 30.221 p=.004 Tau=.011 =.335. Tau=.01. /. =.235. 13-25 79! ! !. /.

(87) 26-35 36 26-35. 80! ! !.

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(103) h !. ! 2. ,. ,. ,. ,. ,. 2016 24(1). 5 33-41 2003. :. http://nhuir.nhu.edu.tw/handle/987654321/21348 2002 http://ir.kmu.edu.tw/handle/310902000/21740 2001. 2008. -. http://handle.ncl.edu.tw/11296/ndltd/51728968512109876172 2016 p. 2015. 9. 14(2). 127-135. 24. https://anntw.com/articles/20150924-WRT7 2000 http://terms.naer.edu.tw/detail/1309109/ 2000 http://terms.naer.edu.tw/detail/1313455/ 2012 http://handle.ncl.edu.tw/11296/ndltd/08269055367791798243 2009 13(5). d. 449-460.. 2007 http://handle.ncl.edu.tw/11296/ndltd/20163487020950717234 &. 2016 p. 3. 1. 5. 177-201. 96! ! !.

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