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Clinical Trial Details — Status: Unknown status

Administrative data

NCT number NCT00746408
Other study ID # GW Diss 3000490
Secondary ID
Status Unknown status
Phase N/A
First received September 2, 2008
Last updated June 15, 2009
Start date January 2009
Est. completion date September 2009

Study information

Verified date June 2009
Source Health & Life Sciences University, Tryol
Contact Wilfried Honekamp, MSc & Dipl.-Inform.
Phone +49 (0) 178 1604553
Email wilfried.honekamp@umit.at
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Medical expert systems in combination with portal searching meta-search engines are exploited to provide reliable patient-tailored information. A prototype of a web-based information system has been developed and is to be evaluated. Its aim is to answer the decisive question whether expert system guided internet meta-search provides a better information supply for patients seeking health information online then this is possible by using ordinary search engines or health portals. The research does neither investigate the influence of ethical nor legal aspects of internet health information supply.


Recruitment information / eligibility

Status Unknown status
Enrollment 500
Est. completion date September 2009
Est. primary completion date September 2009
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 75 Years
Eligibility Inclusion Criteria:

- Age between 18 and 75

- 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 under 18

- Age over 75

- Does never suffer from headaches

- Has no internet access

- Has already gotten a medical diagnosis for her/his headaches

Study Design


Related Conditions & MeSH terms


Intervention

Other:
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.

Locations

Country Name City State
Austria Health & Life Sciences University (UMIT) Hall in Tyrol Tyrol

Sponsors (2)

Lead Sponsor Collaborator
Health & Life Sciences University, Tryol Bremen University of Applied Sciences

Country where clinical trial is conducted

Austria, 

References & Publications (20)

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. — View Citation

Baur C, Deering MJ. Proposed frameworks to improve the quality of health web sites: review. MedGenMed. 2000 Sep 26;2(3):E35. — View Citation

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. Review. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Eysenbach G, Köhler 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. — View Citation

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. Review. — View Citation

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. Review. — View Citation

Jadad AR, Gagliardi A. Rating health information on the Internet: navigating to knowledge or to Babel? JAMA. 1998 Feb 25;279(8):611-4. Review. — View Citation

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. — View Citation

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. Review. — View Citation

Olesen J. International Classification of Headache Disorders, Second Edition (ICHD-2): current status and future revisions. Cephalalgia. 2006 Dec;26(12):1409-10. — View Citation

Olesen J. The International Classification of Headache Disorders. Headache. 2008 May;48(5):691-3. doi: 10.1111/j.1526-4610.2008.01121.x. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. Erratum in: Ann Fam Med. 2006 Jul-Aug;4(4):371. — View Citation

* Note: There are 20 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Conformity of self-diagnosis and medical diagnosis After medical diagnoses has been received
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