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Adaptive Patient Education Framework Featuring Personalized Cardiovascular Risk Management Interventions

  • Selena Davis
  • Syed Sibte Raza Abidi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)

Abstract

The PULSE project objectives are to generate and evaluate a web-based personalized educational intervention for the management of cardiovascular risk. We present a web-based adaptive hypermedia system to create and deliver the personalized education material to the patient. The adaptive personalization framework is based on a patient profile created by combining an electronic patient data capture template, the Systematic COronary Risk Evaluation (SCORE) algorithm, and a Stage of behaviour Change determination model. The interventions are designed to address both medical and psychosocial aspects of risk management and, as such, we combine staged lifestyle modification materials and non-staged messages based on Canadian clinical guidelines to motivate personal risk management.

Keywords

Decision Logic Patient Profile Transtheoretical Model Healthcare Information Risk Factor Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Nguyen, H.Q., Kohlman, V.C.: Internet-based patient education and support interventions: A review of evaluation studies and directions for future research. Computers in Biology and Medicine 34, 95–112 (2004)CrossRefGoogle Scholar
  2. 2.
    Hoffmann, T., Russell, T., McKenna, K.: Producing computer-generated tailored written information for stroke patients and their carers: system development and preliminary evaluation. International Journal of Medical Informatics 73, 751–758 (2004)CrossRefGoogle Scholar
  3. 3.
    Brug, J., Campbell, M., van Assema, P.: The application and impact of computer-generated personalized nutrition education: A review of the literature. Patient Education and Counseling 36, 145–156 (1999)CrossRefGoogle Scholar
  4. 4.
    Manuel, D.G., Leung, M., Nguyen, K., Tanuseputro, P., Johansen, H.: Burden of cardiovascular disease in Canada. Canadian Journal of Cardiology 19, 997–1004 (2003)Google Scholar
  5. 5.
    Lorig, K., Prohaska, T.R., et al.: Patient education: a practical approach. Sage Publications, Thousand Oaks (2001)Google Scholar
  6. 6.
    Kreuter, M.W., Wray, R.J.: Tailored and targeted health communication: strategies for enhancing information relevance. American Journal of Health Behaviour 27, S227–S232 (2003)Google Scholar
  7. 7.
    Jones, B., Abidi, S.S.R., Ying, W.: Using Computerized Clinical Practice Guidelines to Generate Tailored Patient Education Materials. In: 38th Hawaii IEEE International Conference on System Sciences, p. 139b (2005)Google Scholar
  8. 8.
    Oenema, A., Brug, J., Lechner, L.: Web-based tailored nutrition education: results of a randomized controlled trial. Health Education Research 16, 647–660 (2001)CrossRefGoogle Scholar
  9. 9.
    Cancer Prevention Research Center, Detailed Overview of the Transtheoretical Model, (December 15, 2004), available: http://www.uri.edu/research/cprc/TTM/detailedoverview.htm
  10. 10.
    Sarkin, J.A., Johnson, S.S., Prochaska, J.O., Prochaska, J.M.: Applying the Transtheoretical Model to Regular Moderate Exercise in an Overweight Population: Validation of a Stages of Change Measure. Preventive Medicine 33, 462–469 (2001)CrossRefGoogle Scholar
  11. 11.
    Spencer, L., Pagell, F., Hallion, M.E., Adams, T.B.: Applying the transtheoretical model to tobacco cessation and prevention: a review of literature. American Journal of Health Promotion 17, 7–71 (2002)Google Scholar
  12. 12.
    Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J.: Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. The Lancet 364, 937–952 (2004)CrossRefGoogle Scholar
  13. 13.
    Conroy, R.M., et al.: Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. European Heart Journal 24, 987–1003 (2003)CrossRefGoogle Scholar
  14. 14.
    U.S. National Institutes of Health, Trial of a Tailored Message Program to Implement CHF Guidelines (January 6, 2006) [accessed January 9, 2006], http://www.webcitation.org/1143495385123127

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Selena Davis
    • 1
  • Syed Sibte Raza Abidi
    • 1
  1. 1.Health Informatics Laboratory, Faculty of Computer ScienceDalhousie UniversityHalifaxCanada

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