Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
500 participants
OBSERVATIONAL
2009-01-31
2009-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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Main 1
Insurants of the health insurance company BARMER using the prototype to receive expert system guided tailored internet information about the type of headache they suffer from.
Expert system guided tailored information
The prototype is realised by a web-based information system. The HTML web-interface guides the user through the search process by querying the information demand. This is done by an integrated expert system. The expert system uses a rule based inference to determine an internal diagnosis. Based on this internal diagnosis the system searches quality labeled websites and presents relevant information to the user.
Main 2
Insurants of the health insurance company BARMER using search engines and portals to gather internet information about the type of headache they suffer from.
No interventions assigned to this group
Online 1
Internet users using the prototype to receive expert system guided tailored internet information about the type of headache they suffer from.
Expert system guided tailored information
The prototype is realised by a web-based information system. The HTML web-interface guides the user through the search process by querying the information demand. This is done by an integrated expert system. The expert system uses a rule based inference to determine an internal diagnosis. Based on this internal diagnosis the system searches quality labeled websites and presents relevant information to the user.
Online 2
Internet users using search engines and portals to gather internet information about the type of headache they suffer from.
No interventions assigned to this group
Interventions
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Expert system guided tailored information
The prototype is realised by a web-based information system. The HTML web-interface guides the user through the search process by querying the information demand. This is done by an integrated expert system. The expert system uses a rule based inference to determine an internal diagnosis. Based on this internal diagnosis the system searches quality labeled websites and presents relevant information to the user.
Eligibility Criteria
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Inclusion Criteria
* Suffers at least occasionally from headaches
* Has internet access
* Has not obtained a medical diagnosis (concerning this headache) by a physician, yet
Exclusion Criteria
* Age over 75
* Does never suffer from headaches
* Has no internet access
* Has already gotten a medical diagnosis for her/his headaches
18 Years
75 Years
ALL
Yes
Sponsors
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Bremen University of Applied Sciences
OTHER
Health & Life Sciences University, Tryol
OTHER
Responsible Party
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Health & Life Sciences University Tyrol, Austria
Principal Investigators
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Wilfried Honekamp, MSc & Dipl.-Inform.
Role: PRINCIPAL_INVESTIGATOR
Health & Life Sciences University Tyrol, Austria
Herwig Ostermann, Dr.
Role: STUDY_DIRECTOR
Health & Life Sciences University Tyrol, Austria
Roland Staudinger, Prof.
Role: STUDY_CHAIR
Health & Life Sciences University Tyrol, Austria
Locations
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Health & Life Sciences University (UMIT)
Hall in Tyrol, Tyrol, Austria
Countries
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Central Contacts
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Facility Contacts
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References
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Eysenbach G, Powell J, Kuss O, Sa ER. Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA. 2002 May 22-29;287(20):2691-700. doi: 10.1001/jama.287.20.2691.
Andrew ME, Penzien DB, Rains JC, Knowlton GE, McAnulty RD. Development of a computer application for headache diagnosis: the Headache Diagnostic System. Int J Biomed Comput. 1992 Jul;31(1):17-24. doi: 10.1016/0020-7101(92)90050-3.
Baur C, Deering MJ. Proposed frameworks to improve the quality of health web sites: review. MedGenMed. 2000 Sep 26;2(3):E35. No abstract available.
Bessell TL, McDonald S, Silagy CA, Anderson JN, Hiller JE, Sansom LN. Do Internet interventions for consumers cause more harm than good? A systematic review. Health Expect. 2002 Mar;5(1):28-37. doi: 10.1046/j.1369-6513.2002.00156.x.
Bindels R, Winkens RA, van Wersch JW, Pop P, Hasman A. Comparing assessment of appropriateness of diagnostic tests between a human expert and an automated reminder system. Stud Health Technol Inform. 2000;77:239-43.
Birru MS, Monaco VM, Charles L, Drew H, Njie V, Bierria T, Detlefsen E, Steinman RA. Internet usage by low-literacy adults seeking health information: an observational analysis. J Med Internet Res. 2004 Sep 3;6(3):e25. doi: 10.2196/jmir.6.3.e25.
Buchanan BG, Moore JD, Forsythe DE, Carenini G, Ohlsson S, Banks G. An intelligent interactive system for delivering individualized information to patients. Artif Intell Med. 1995 Apr;7(2):117-54. doi: 10.1016/0933-3657(94)00029-r.
Bull FC, Kreuter MW, Scharff DP. Effects of tailored, personalized and general health messages on physical activity. Patient Educ Couns. 1999 Feb;36(2):181-92. doi: 10.1016/s0738-3991(98)00134-7.
Eysenbach G, Kohler C, Yihune G, Lampe K, Cross P, Brickley D. A metadata vocabulary for self- and third-party labeling of health web-sites: Health Information Disclosure, Description and Evaluation Language (HIDDEL). Proc AMIA Symp. 2001:169-73.
Gagliardi A, Jadad AR. Examination of instruments used to rate quality of health information on the internet: chronicle of a voyage with an unclear destination. BMJ. 2002 Mar 9;324(7337):569-73. doi: 10.1136/bmj.324.7337.569.
Jadad AR, Gagliardi A. Rating health information on the Internet: navigating to knowledge or to Babel? JAMA. 1998 Feb 25;279(8):611-4. doi: 10.1001/jama.279.8.611.
Kopec D, Shagas G, Selman J, Reinharth D, Tamang S. Development of an expert system for differentiating tension type headaches from migraines. Stud Health Technol Inform. 2004;103:81-92.
Norman CD, Skinner HA. eHealth Literacy: Essential Skills for Consumer Health in a Networked World. J Med Internet Res. 2006 Jun 16;8(2):e9. doi: 10.2196/jmir.8.2.e9.
Olesen J. The International Classification of Headache Disorders. Headache. 2008 May;48(5):691-3. doi: 10.1111/j.1526-4610.2008.01121.x.
Olesen J. International Classification of Headache Disorders, Second Edition (ICHD-2): current status and future revisions. Cephalalgia. 2006 Dec;26(12):1409-10. doi: 10.1111/j.1468-2982.2006.01214.x. No abstract available.
De Simone R, Coppola G, Ranieri A, Bussone G, Cortelli P, D'Amico D, d'Onofrio F, Manzoni GC, Marano E, Perini F, Torelli P, Beneduce L, Ciccarelli G, Mea E, Penza P, Ripa P, Sancisi E, Bonavita V. Validation of AIDA Cefalee, a computer-assisted diagnosis database for the management of headache patients. Neurol Sci. 2007 May;28 Suppl 2:S213-6. doi: 10.1007/s10072-007-0779-z.
Walji M, Sagaram S, Sagaram D, Meric-Bernstam F, Johnson C, Mirza NQ, Bernstam EV. Efficacy of quality criteria to identify potentially harmful information: a cross-sectional survey of complementary and alternative medicine web sites. J Med Internet Res. 2004 Jun 29;6(2):e21. doi: 10.2196/jmir.6.2.e21.
Wilkins ST, Navarro FH. Has the Web really empowered health care consumers? The truth is customers may not have changed as much as we think. Mark Health Serv. 2001 Fall;21(3):5-9.
Winker MA, Flanagin A, Chi-Lum B, White J, Andrews K, Kennett RL, DeAngelis CD, Musacchio RA. Guidelines for medical and health information sites on the internet: principles governing AMA web sites. American Medical Association. JAMA. 2000 Mar 22-29;283(12):1600-6. doi: 10.1001/jama.283.12.1600.
Woolf SH, Krist AH, Johnson RE, Wilson DB, Rothemich SF, Norman GJ, Devers KJ. A practice-sponsored Web site to help patients pursue healthy behaviors: an ACORN study. Ann Fam Med. 2006 Mar-Apr;4(2):148-52. doi: 10.1370/afm.522.
Related Links
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The study website
University of Applied Sciences Bremen, Germany
Other Identifiers
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GW Diss 3000490
Identifier Type: -
Identifier Source: org_study_id
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