An Ontology-Driven Personalization Framework for Designing Theory-Driven Self-management Interventions

  • Syed Sibte Raza Abidi
  • Samina Abidi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8268)


We present a patient-centered self-management framework that aims to assist individuals to achieve self-efficacy in terms of self-management of their chronic condition. We have incorporated an evidence-driven behavior model—i.e. the Social Cognition Theory (SCT)—to personalize the self-management educational content based on the individual’s health and psychosocial profile. We have taken a knowledge management approach to the development of the self-management framework where we have modeled the SCT, educational content and strategies, assessment tools and the personalization logic using an OWL-DL based ontology. The execution of the knowledge encapsulated within the SCT ontology allows for the dynamic generation of a patient’s profile and the selection of the relevant self-management strategies, educational and motivational messages. We applied our self-management framework to develop a self-management program for cardiac conditions.


Domain Expert Social Cognitive Theory Health Profile Behavior Profile Personalization Strategy 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Fisher, E.B., Fitzgibbon, M.L., Glasgow, R.E., et al.: Behavior matters. American Journal of Preventive Medicine 40(5), e15–e30 (2011)Google Scholar
  2. 2.
    Glasgow, R.E., Fisher, E.B., Anderson, B.J., et al.: Behavioral science in diabetes. Contributions and opportunities. Diabetes Care 22(5), 832–843 (1999)CrossRefGoogle Scholar
  3. 3.
    Packer, T.L., Boldy, D., Ghahari, S., Melling, L., Parsons, R., Osborne, R.H.: Self-management programs conducted within a practice setting: Who participates, who benefits and what can be learned? Patient Educ. Couns. 87(1), 93–100 (2012)CrossRefGoogle Scholar
  4. 4.
    Jones, H., Edwards, L., Vallis, T.M.: Changes in diabetes self-care behaviors make a difference to glycemic control: the Diabetes Stages of Change (DiSC) study. Diabetes Care 26, 732–737 (2003)CrossRefGoogle Scholar
  5. 5.
    Vallis, M., Ruggiero, L., Greene, G., et al.: Stages of change for healthy eating in diabetes: relation to demographic, eating-related, health care utilization, and psychosocial factors. Diabetes Care 26(5), 1468–1474 (2003)CrossRefGoogle Scholar
  6. 6.
    Wing, R.R., Goldstein, M.G., Acton, K.J., et al.: Behavioral science research in diabetes: lifestyle changes related to obesity, eating behavior, and physical activity. Diabetes Care 24(1), 117–123 (2001)CrossRefGoogle Scholar
  7. 7.
    Nguyen, M.N., Potvin, L., Otis, J.: Regular exercise in 30- to 60-year-old men: combining the stages-of-change model and the theory of planned behavior to identify determinants for targeting heart health interventions. J. Community Health 22(4), 233–246 (1997)CrossRefGoogle Scholar
  8. 8.
    King, D.K., Glasgow, R.E., Toobert, D.J., et al.: Self-efficacy, problem solving, and social-environmental support are associated with diabetes self-management behaviors. Diabetes Care 33(4), 751–753 (2010)CrossRefGoogle Scholar
  9. 9.
    Mishali, M., Omer, H., Heymann, A.D.: The importance of measuring self-efficacy in patients with diabetes. Fam Pract. 28(1), 82–87 (2011)CrossRefGoogle Scholar
  10. 10.
    Miller, W.R., Rose, G.S.: Toward a theory of motivational interviewing. Am. Psychol. 64(6), 527–537 (2009)CrossRefGoogle Scholar
  11. 11.
    Soo, H., Lam, S.: Stress management training in diabetes mellitus. J. Health Psychol. 14(7), 933–943 (2009)CrossRefGoogle Scholar
  12. 12.
    Fisher, E.B., Thorpe, C.T., Devellis, B.M., Devellis, R.F.: Healthy coping, negative emotions, and diabetes management: a systematic review and appraisal. Diabetes Educ. 33(6), 1080–1103 (2007); discussion 1104-1086Google Scholar
  13. 13.
    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
  14. 14.
    Davis, S., Abidi, S.S.R., Stewart, S.: A compositional personalization approach for designing personalized patient educational interventions for cardiovascular risk management. In: 13th World Cong. on Medical Informatics (2010)Google Scholar
  15. 15.
    Elder, J.P., Ayala, G.X., Harris, S.: Theories and intervention approaches to health behavior change in primary care. American Journal of Preventive Medicine 17(4), 275–284 (1999)CrossRefGoogle Scholar
  16. 16.
    Bandura, A.: Health promotion and social cognitive means. Health Edu. Behave. 31(2), 143–164 (2004)CrossRefGoogle Scholar
  17. 17.
    Clark, N.M., Dodge, J.A.: Exploring self-efficacy as a predictor of disease management. Health Education and Behavior 26, 72–89 (1999)CrossRefGoogle Scholar
  18. 18.
    Aljasem, L., Peyrot, M., Wissow, L., Rubin, R.: The impact of barriers and self-efficacy on self-care behaviors in type 2 diabetes. Diabetes Educator 27, 393–404 (2001)CrossRefGoogle Scholar
  19. 19.
    Oka, R.K., DeMarco, T., Haskell, W.L.: Effect of treadmill testing and exercise training on self-efficacy in patients with heart failure. European Journal of Cardiovascular Nursing 4, 215–219 (2005)CrossRefGoogle Scholar
  20. 20.
    King, T.K., Marcus, B.H., Pinto, B.M., Emmons, K.M., Abrams, D.B.: Cognitive-behavioral mediators of changing multiple behaviors: smoking and a sedentary lifestyle. Preventive Medicine 25, 684–691 (1996)CrossRefGoogle Scholar
  21. 21.
    Haider, T., Sharma, M., Bernard, A.: Using social cognitive theory to predict exercise behavior among South Asian college students. J. Community Med. Health Educ. 2, 155 (2012)CrossRefGoogle Scholar
  22. 22.
    Bandura, A.: Social foundations of thought and action; A social cognitive theory. Prentice Hall, Englewood Cliffa (1986)Google Scholar
  23. 23.
    McGowan, P.: The effect of Diabetes patient education and self-management education in Type 2 diabetes. Canadian Journal of Diabetes 35(1), 46–53 (2012)CrossRefGoogle Scholar
  24. 24.
    Lorig, K.R., Holman, H.R.: Self-management education: History, definition, outcomes and mechanism. Ann. Behav. Med. 26(1), 1–7Google Scholar
  25. 25.
    Lorig, K.R., Sobel, D.S., Ritter, P.L., Laurent, D., Hobbs, M.: Effect to Self-Management program on patient with chronic disease. Effective Clinical Practice 4(6), 256–261 (2001)Google Scholar
  26. 26.
    Norris, S.L., Lau, J., Smith, S.J., Schmid, C.H., Engelgau, M.M.: Self-management education for adults with type 2 diabetes: a meta-analysis of the effect of glycemic control. Diabetes Care 25, 1159–1171 (2002)CrossRefGoogle Scholar
  27. 27.
    Funnell, M.M., Anderson, R.M.: Empowerment and self-management of diabetes. Clin. Diabetes. 22, 123–126 (2004)CrossRefGoogle Scholar
  28. 28.
    Anderson, E.S., Winett, R.A., Wojcik, J.R.: Social regulation, self-efficacy, outcome expectation and social support: Social Cognitive Theory and nutritional behavior. Ann. Behav. Med. 34(3), 304–312 (2007)CrossRefGoogle Scholar
  29. 29.
    Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Modelling ontology evaluation and validation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 140–154. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  30. 30.
    Gómez-Pérez, A.: Ontology Evaluation. In: Handbook on Ontologies. International Handbooks on Information Systems, pp. 251–273 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Syed Sibte Raza Abidi
    • 1
  • Samina Abidi
    • 1
    • 2
  1. 1.NICHE Research Lab, Faculty of Computer ScienceDalhousie UniversityCanada
  2. 2.Medical Informatics, Faculty of MedicineDalhousie UniversityCanada

Personalised recommendations