Tailored Internet Information Supply for Patients - Full Text View

Purpose

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.

Condition	Intervention
Headache	Other: Expert system guided tailored information

Study Type:	Observational
Study Design:	Observational Model: Case Control Time Perspective: Cross-Sectional
Official Title:	Study of the Quality of Self-Diagnosis by Headache Patients Getting Tailored Internet Information

Resource links provided by NLM:

MedlinePlus related topics: Headache

U.S. FDA Resources

Further study details as provided by Health & Life Sciences University, Tryol:

Primary Outcome Measures:

Conformity of self-diagnosis and medical diagnosis [ Time Frame: After medical diagnoses has been received ] [ Designated as safety issue: No ]

Estimated Enrollment:	500
Study Start Date:	January 2009
Estimated Study Completion Date:	September 2009
Estimated Primary Completion Date:	September 2009 (Final data collection date for primary outcome measure)

Groups/Cohorts	Assigned Interventions
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.	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.
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.
Online 1 Internet users using the prototype to receive expert system guided tailored internet information about the type of headache they suffer from.	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.
Online 2 Internet users using search engines and portals to gather internet information about the type of headache they suffer from.

Eligibility

Ages Eligible for Study:	18 Years to 75 Years
Genders Eligible for Study:	Both
Accepts Healthy Volunteers:	Yes
Sampling Method:	Probability Sample

Study Population

All German speaking adults in the German-speaking part of Europe who suffer at least occasionally from headaches and have not been examined (concerning these headaches) by a physician yet.

The population of the main study is narrowed down to a heterogeneous group of insurants of a health insurance company.
The population of the online study is self-selecting.

Criteria

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

Contacts and Locations

Please refer to this study by its ClinicalTrials.gov identifier: NCT00746408

Contacts

Contact: Wilfried Honekamp, MSc & Dipl.-Inform.

+49 (0) 178 1604553

wilfried.honekamp@umit.at

Locations

Austria
Health & Life Sciences University (UMIT)	Recruiting
Hall in Tyrol, Tyrol, Austria, 6060
Contact: Wilfried Honekamp, MSc & Dipl.-Inform. +49 (0) 178 1604553 wilfried.honekamp@umit.at
Principal Investigator: Wilfried Honekamp, MSc & Dipl.-Inform.

Sponsors and Collaborators

Health & Life Sciences University, Tryol

University of Applied Sciences Bremen

Investigators

Principal Investigator:	Wilfried Honekamp, MSc & Dipl.-Inform.	Health & Life Sciences University Tyrol, Austria
Study Director:	Herwig Ostermann, Dr.	Health & Life Sciences University Tyrol, Austria
Study Chair:	Roland Staudinger, Prof.	Health & Life Sciences University Tyrol, Austria

More Information

Additional Information:

The study website This link exits the ClinicalTrials.gov site

Health & Life Sciences University (UMIT) Tyrol, Austria This link exits the ClinicalTrials.gov site

University of Applied Sciences Bremen, Germany This link exits the ClinicalTrials.gov site

Publications:

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.

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.

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. Review.

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.

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.

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.

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.

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.

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.

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. Review.

Olesen J. The International Classification of Headache Disorders. Headache. 2008 May;48(5):691-3.

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

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.

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.

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.

Responsible Party:	Wilfried Honekamp, Health & Life Sciences University Tyrol, Austria
ClinicalTrials.gov Identifier:	NCT00746408 History of Changes
Other Study ID Numbers:	GW Diss 3000490
Study First Received:	September 2, 2008
Last Updated:	June 15, 2009
Health Authority:	Austria: Federal Ministry for Health Family and Youth Germany: Federal Ministry of Education and Research

Keywords provided by Health & Life Sciences University, Tryol:

Internet
Information supply
Tailoring
Patient empowerment
Headaches

Consumer Health Information
Information Services
Information Storage and Retrieval
Information Systems

Additional relevant MeSH terms:

Headache
Pain
Neurologic Manifestations
Nervous System Diseases
Signs and Symptoms

ClinicalTrials.gov processed this record on June 17, 2013